{"id":573,"date":"2025-06-21T14:09:18","date_gmt":"2025-06-21T14:09:18","guid":{"rendered":"https:\/\/services.conferences.computer.org\/2026\/?page_id=573"},"modified":"2026-07-12T13:47:16","modified_gmt":"2026-07-12T13:47:16","slug":"icws-program","status":"publish","type":"page","link":"https:\/\/services.conferences.computer.org\/2026\/icws-program\/","title":{"rendered":"ICWS Program"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"573\" class=\"elementor elementor-573\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-445267bb e-flex e-con-boxed e-con e-parent\" data-id=\"445267bb\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3b4c639 e-con-full e-flex e-con e-child\" data-id=\"3b4c639\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fb00906 elementor-widget elementor-widget-text-editor\" data-id=\"fb00906\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5><strong>Part of the 2026 IEEE World Congress on SERVICES<\/strong><\/h5><h5><strong>July 13-18<\/strong><br \/><strong>Sydney, Australia<\/strong><\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd67a7b elementor-button-info elementor-align-center elementor-widget elementor-widget-button\" data-id=\"cd67a7b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Home<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-696a095 elementor-button-info elementor-align-center elementor-widget elementor-widget-global elementor-global-574 elementor-widget-button\" data-id=\"696a095\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/icws-program\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">ICWS Program<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ba650e elementor-button-info elementor-align-center elementor-widget elementor-widget-button\" data-id=\"1ba650e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/icws\/icws-call-for-papers\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Call for Papers<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b86628b elementor-button-info elementor-align-center elementor-widget elementor-widget-button\" data-id=\"b86628b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/icws-organizers\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">ICWS Organizers<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-357a5bc6 e-con-full e-flex e-con e-child\" data-id=\"357a5bc6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1d78d520 elementor-widget elementor-widget-heading\" data-id=\"1d78d520\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">ICWS 2026 - Program<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2234442 e-n-tabs-mobile elementor-widget elementor-widget-n-tabs\" data-id=\"2234442\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;horizontal_scroll&quot;:&quot;disable&quot;}\" data-widget_type=\"nested-tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-tabs\" data-widget-number=\"35865666\" aria-label=\"Tabs. Open items with Enter or Space, close with Escape and navigate using the Arrow keys.\">\n\t\t\t<div class=\"e-n-tabs-heading\" role=\"tablist\">\n\t\t\t\t\t<button id=\"e-n-tab-title-358656661\" data-tab-title-id=\"e-n-tab-title-358656661\" class=\"e-n-tab-title\" aria-selected=\"true\" data-tab-index=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"e-n-tab-content-358656661\" style=\"--n-tabs-title-order: 1;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 13\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-358656662\" data-tab-title-id=\"e-n-tab-title-358656662\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-358656662\" style=\"--n-tabs-title-order: 2;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 14\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-358656663\" data-tab-title-id=\"e-n-tab-title-358656663\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-358656663\" style=\"--n-tabs-title-order: 3;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 15\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-358656664\" data-tab-title-id=\"e-n-tab-title-358656664\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-358656664\" style=\"--n-tabs-title-order: 4;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 16\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-358656665\" data-tab-title-id=\"e-n-tab-title-358656665\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-358656665\" style=\"--n-tabs-title-order: 5;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 17\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-358656666\" data-tab-title-id=\"e-n-tab-title-358656666\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"6\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-358656666\" style=\"--n-tabs-title-order: 6;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 18\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t<div class=\"e-n-tabs-content\">\n\t\t\t\t<div id=\"e-n-tab-content-358656661\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-358656661\" data-tab-index=\"1\" style=\"--n-tabs-title-order: 1;\" class=\"e-active elementor-element elementor-element-3d937ff e-con-full e-flex e-con e-child\" data-id=\"3d937ff\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-cba0574 e-flex e-con-boxed e-con e-child\" data-id=\"cba0574\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-287675d elementor-widget elementor-widget-text-editor\" data-id=\"287675d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>CWS-CON-S11: <\/b><b>IoT Edge and Cloud Services<br \/><\/b><b><\/b><b>09:00 &#8211; 10:10<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: George Aziz<br \/><\/b><\/p><ul><li><em>CWS_SHT_145: FedTTP: Test-Time Transformer Personalisation for Federated Learning as a Service<br \/><\/em><em><em>George Aziz, Sajib Mistry and Aneesh Krishna<\/em><\/em><\/li><li><em>CWS_SHT_160: Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments<br \/><\/em><em><em>Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah and Aneesh Krishna<br \/><\/em><\/em><\/li><li><em>CWS_SHT_188: Large or Small? Cloud or Edge? Investigating the Use of Language Models for Smart Drone Services<br \/><\/em><em>Peilin He, Xiao Liu, Disen Jia, Jia Xu and Jonathan Kua<\/em><\/li><\/ul><p><b>CWS-CON-S1: <\/b><b>Service Discovery, Selection and Recommendation<br \/>09:00 &#8211; 10:10<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Qirui Sa<\/b><\/p><ul><li><em>CWS_REG_100: AnchorMark: Preventing Watermark Collapse in LLMs via Anchor-based Resynchronization<br \/><\/em><em><em>Qirui Sa, Yifei Zhang, Weijing You, Cunqing Ma, Yiwei Shan, Yongjuan Sun, Qi Gu and Wenmao Liu<\/em><\/em><\/li><li><em>CWS_REG_191: Hypergraph-Guided Distribution Alignment for Bundle Recommendation<br \/><\/em><em>Wenyao Qiao, Sibo Wen, Nan Wang, Yingli Zhong and Lingli Li<\/em><\/li><\/ul><p><b>CWS-CON-S10: <\/b><b>IoT Edge and Cloud Services<br \/>09:00 &#8211; 10:10<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Shuchao Pang<\/b><\/p><ul><li><em>CWS_REG_382: Service Integrity of LLM-Driven Edge Web Services under Semantic Backdoor Attacks<br \/><\/em><em><em>Chun Yun Wang, Wei Emma Zhang, Zhigang Lu, Yan Meng, Shuchao Pang and Quan Z. Sheng<\/em><\/em><\/li><li><em>CWS_REG_385: Uncertainty-Aware Zygote Container Planning for Burst-Resilient Function Startup in Serverless Edge-Cloud Computing<br \/><\/em><em><em>Tianyu Fang, Jiangwei Li, Xiaocui Li and Zhangbing Zhou<\/em><\/em><\/li><li><em>CWS_REG_397: FedMoE: Efficient Federated Fine-Tuning for MoE-Based Large Language Models<br \/><\/em><em>Hanzi Mei, Jinfeng Wen, Mengwei Xu, Ao Zhou and Shangguang Wang<\/em><\/li><\/ul><p><b>CWS-CON-S13: <\/b><b>IoT Edge and Cloud Services<br \/>10:40 &#8211; 11:50<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Chunqi Wu<\/b><\/p><ul><li><em>CWS_SHT_271: Temporal Edge-Enhanced Bipartite Graph Neural Networks For Secondary Battery Swapping Service<br \/><\/em><em><em>Chunqi Wu, Zhao Li, Jinsheng Ding, Pan Tang, Donghui Ding, Jiaming Huang, Chonghui Zheng and Yuhua Zheng<\/em><\/em><\/li><li><em>CWS_SHT_279: TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems<br \/><\/em><em><em>Ngoc Bao Anh Le, Thai Vu, John Le, Heath Cooper and Jun Shen<\/em><\/em><\/li><li><em>CWS_SHT_288: DCQ: Dimension Selection and Compensation in Post-Training Quantization for Edge Vision Services<br \/><\/em><em><em>Junna Zhang, Luxi Wang, Chuntao Ding, Zigui Jiang and Guoqing Zheng<\/em><\/em><\/li><li><em>CWS_SHT_302: ATMoCloud: Automated Threat Modeling for Cloud Architectures through Cyber Threat Intelligence Enrichment and Structured Validation<br \/><\/em><em>Noam Tarshish, Avishag Shapira, Ido Hersko, Yuval Elovici and Asaf Shabtai<\/em><\/li><\/ul><p><b>CWS-CON-S44: <\/b><b>Services Security, Privacy and Trust<br \/>10:40 &#8211; 11:50<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Jianxiong Guo<\/b><\/p><ul><li><em>CWS_REG_82: FiLA-DP: Fisher-Guided Layer Sharing for Differential Privacy in Federated Learning<br \/><\/em><em><em>Qiufen Ni, Shangyuan Xie, Xiao Dong, Jianxiong Guo and Tian Wang<\/em><\/em><\/li><li><em>CWS_SHT_25: Higher-Order and Dual-Geometry Modeling for Blockchain Anti-Money Laundering Detection<br \/><\/em><em><em>Qiuyang Zhang, Mingxuan Jiang, Yuan Shui, Zhixin Li, Hongbin Zhu and Hongfeng Chai<\/em><\/em><\/li><\/ul><p><b>CWS-CON-S16: <\/b><b>Microservices<br \/>10:40 &#8211; 11:50<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Yuliang Shi<\/b><\/p><ul><li><em>CWS_REG_323: MGLA: Multimodal Graph Learning Based Algorithm for Candidate Microservice Identification<br \/><\/em><em><em>Jianlin Zhang, Cong Liu, Yuliang Shi, Shijun Liu, Dong Zhang, Kaiyuan Qi and Zhiyong Chen<\/em><\/em><\/li><li><em>CWS_REG_393: QoS-Aware Brokering for LLM-as-a-Service: SLA-Constrained Routing with Drift Detection<br \/><\/em><em><em>Okba Tibermacine and Chouki Tibermacine<\/em><\/em><\/li><\/ul><p><b>CWS-CON-S14: <\/b><b>IoT Edge and Cloud Services<br \/><\/b><b>11:50 &#8211; 13:00<br \/><\/b><b><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Zhi Yao<\/b><\/p><ul><li><em>CWS_REG_87: CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services<br \/><\/em><em><em>Zhi Yao, Weihao Chen, Zhiqing Tang, Hanshuai Cui, Qianli Ma, Weijia Jia and Wei Zhao<\/em><\/em><\/li><li><em>CWS_SHT_32: TRUEdge: Faithful Edge-Aware Graph Learning for Intrusion Detection<br \/><\/em><em><em>Devashish Chaudhary, Sutharshan Rajasegarar and Shiva Raj Pokhrel<\/em><\/em><\/li><li><em>CWS_SHT_55: ST-RCA: A Task-Oriented Causal Framework for Robust Spatio-Temporal Root Cause Analysis in Complex IoT Systems<br \/><\/em><em>Borui Li, Lun Tang and Qianbin Chen<\/em><\/li><\/ul><p><b>CWS-CON-S17: <\/b><b>Web Services Composition and Orchestration<br \/><\/b><b>11:50 &#8211; 13:00<br \/><\/b><b><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Jia Xu<\/b><\/p><ul><li><em>CWS_REG_152: LLMFlowGO: An LLM-Driven System for Workflow Generation and Optimization<br \/><\/em><em><em>Jia Xu, Weibin Zhang, Xuejun Li, Xiao Liu, Peilin He, Jinglong Fang and Yun Yang<\/em><\/em><\/li><li><em>CWS_REG_194: Optimizing FaaS Platforms for MCP-enabled Agentic Workflows<br \/><\/em><em><em>Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Haseeb Abdullah Kollorath, Anand Eswaran, Praveen Jayachandran and Yogesh Simmhan<\/em><\/em><\/li><li><em>CWS_REG_24: Intent-Driven and Constraint-Verified Service Composition via Evolving Verified Experience<br \/><\/em><em>Bowen Ma, Junxian Liu, Bangbang Ren, Lailong Luo, Deke Guo and Honghui Chen<\/em><\/li><\/ul><p><b>CWS-CON-S20: <\/b><b>Knowledge Graphs and Semantic Services<br \/><\/b><b>11:50 &#8211; 13:00<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Wendi Feng<\/b><\/p><ul><li><em>CWS_REG_166: SABALANCE: Semantic-aware Load Balancing for Stateful NFV Service Systems<br \/><\/em><em><em>Yuan Liu, Wendi Feng and Ao Jin<\/em><\/em><\/li><li><em>CWS_REG_30: TriSA: Tri-Type Hypergraph Semantic Alignment for Metaverse Service Paradigm and Recommendation<br \/><\/em><em><em>Ruipeng Han, Dunlei Rong, Yeqi Zhu, Zihang Su, Xiao Wang and Hanchuan Xu<\/em><\/em><\/li><li><em>CWS_REG_309: Dual-Diffusion Service Recommendation with External Knowledge Graphs<br \/><\/em><em>Junxiang Zhang, Yanting Li, Lianqi Huang, Shuo Yu, Xinshu Li, Ziqi Xu and Feng Xia<\/em><\/li><\/ul><p><b>CWS-CON-S18: <\/b><b>Web Services Composition and Orchestration<br \/><\/b><b>14:00 &#8211; 15:10<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Dongjin Yu<\/b><\/p><ul><li><em>CWS_REG_253: Integrating Structural and Temporal Information of Trace Cases: A Multi-Perspective Framework for Process Representation Learning<br \/><\/em><em><em>Dongjin Yu, Yuying Cheng, Yayu Hou, Zhongyang Li, Ke Ni and Lei Tu<\/em><\/em><\/li><li><em>CWS_SHT_125: CognitiveContinuum: Intent-Aware Orchestration Using LLM and Fuzzy Logic<br \/><\/em><em><em>Negin Akbari, Adel N. Toosi, John Grundy and Muhammad Aamir Cheema<\/em><\/em><\/li><li><em>CWS_SHT_269: Agent-Based Zero-Shot Service Composition via Large Reasoning and Action Models<br \/><\/em><em>Ilche Georgievski and Marco Aiello<\/em><\/li><li><em>CWS_SHT_319: FlexVFA: A Flexible and Verifiable Privacy-Preserving Auditing Framework for Federated Business Processes<br \/><\/em><em>Puwei Wang, Linman Li, Chenrui Li and Jinchuan Chen<\/em><\/li><\/ul><p><b>CWS-CON-S23: <\/b><b>QoS Monitoring and Resource Management<br \/><\/b><b>14:00 &#8211; 15:10<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Hongyan Liu<\/b><\/p><ul><li><em>CWS_REG_137: Ada-Jelly: A Lightweight and Adaptive Subflow Sketch for High-Speed Network Monitoring<br \/><\/em><em><em>Zhengli Lin, Xuanwei Si, Dong Zhang, Hongyan Liu, Bohuai Xiao, Ming Li, Jianshan Zhang, Chunming Wu and Xiang Chen<\/em><\/em><\/li><li><em>CWS_REG_209: K3AS: QoS-Aware Kinematic 3D Asset Service with Cache-Adaptive Progressive Asset Evolution<br \/><\/em><em><em>Haoqi Ruan, Ruihan Hu, Zhaodong Zhang, Wenqi Wang and Zilong Hu<\/em><\/em><\/li><li><em>CWS_REG_23: Tiga: Adaptive Two-Level Parallel Transaction Execution for Improving Blockchain QoS<br \/><\/em><em>Shengjie Guan and Zhen Xiao<\/em><\/li><\/ul><p><b>CWS-CON-S22: <\/b><b>Knowledge Graphs and Semantic Services<br \/><\/b><b>14:00 &#8211; 15:10<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Haolong Xiang<\/b><\/p><ul><li><em>CWS_REG_317: An LLM-Enhanced Multimodal Graph Network for Causal-Aware Traffic Forecasting<br \/><\/em><em><em>Jiale Wu, Haolong Xiang, Xiaolong Xu, Lianyong Qi, Xuyun Zhang, Fanzhen Liu, Rong Jiang and Wei Fan<\/em><\/em><\/li><li><em>CWS_REG_338: TISKE: Two-stage Incremental and Scalable Knowledge Editing for LLM-based Intelligent Services<br \/><\/em><em><em>Qiang Liu, Buqing Cao, Wenyu Zhao, Sheng Lin, Hangyu Liu and Jinjun Chen<\/em><\/em><\/li><li><em>CWS_SHT_187: An Ontology-driven Service-oriented System for ESG Metric Computation and Reporting<br \/><\/em><em><em>Mingqin Yu, Fethi Rabhi, Basem Suleiman, Nuodi Liu and Yuekang Li<\/em><\/em><\/li><li><em>CWS_SHT_239: Equivariant Positional Encoding for Graph Neural Network-based Collaborative Filtering<br \/><\/em><em>Jishen Sun, Xin Sun, Deling Huang, Samaneh Madanian, Guiling Wang, Zhizhong Liu, Muhammad Naeem and Jian Yu<\/em><\/li><\/ul><p><b>ICWS Keynote<br \/><\/b><b>15:40 &#8211; 16:50<br \/><\/b><b>Room: 109<br \/><\/b><strong>Session Chair : Jia Wu<\/strong><\/p><ul><li><em>Title : AI Design and Operation Paradigm: from Functional to Agentic Enterprise<br \/><\/em><em>Speaker : Prof. Jian YANG, Acting Dean of Faculty of Science and Technology, and <\/em><em>Associate Dean of School of AI and Liberal Arts<br \/><\/em><em>Beijing Normal Hong Kong Baptist University<\/em><\/li><\/ul><p style=\"padding-left: 40px\">\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-358656662\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-358656662\" data-tab-index=\"2\" style=\"--n-tabs-title-order: 2;\" class=\" elementor-element elementor-element-29fc757 e-con-full e-flex e-con e-child\" data-id=\"29fc757\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-f062d43 e-flex e-con-boxed e-con e-child\" data-id=\"f062d43\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-14f9b1e elementor-widget elementor-widget-text-editor\" data-id=\"14f9b1e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>CWS-CON-S19: <\/b><b>Web Services Composition and Orchestration (Track: Reserved-Chairs)<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Kathleen West<\/b><\/p><ul><li><em>CON_REG_58: Dynamic Function Deployment and Task Offloading in Serverless Multi-Edge Systems<br \/><\/em><em><em>Jinquan Zhang, Xiaoping Li, Zhicheng Ding, Yibo Li, Guoqiang Bao and Long Chen<\/em><\/em><\/li><li><em>CON_REG_7: GLST: An Efficient and Modular Framework for\u00a0 Spatio-Temporal Service Flow Forecasting<br \/><\/em><em>Wen Xie, Xiaofei Xu, Jiayi Qu, Hanlin Fan, Kai Di, Shuang,\u00a0 Yu, Mingyi Liu and Zhongjie Wang<\/em><\/li><li><em>CWS_REG_37: Collaborative Assurance of On-Device Model Inference Services in AIoT Environment<br \/><\/em><em>Ke Meng, Xiaolong Xu, Haolong Xiang, Peng Chen, Guangming Cui, Xuyun Zhang, Lianyong Qi, Lina Yao and Wanchun Dou<\/em><\/li><\/ul><p><b>CWS-CON-S28: <\/b><b>Microservices<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Weiwei Huang<\/b><\/p><ul><li><em>CWS_REG_391: TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices<br \/><\/em><em><em>Junle Wang, Ruibo Chen, Yuanshuai Wang, Xingchuang Liao, Zhimin Fan, Xiangdong Wu, Wenjun Wu, Xuehong Liu and Jinkun Zhao<\/em><\/em><\/li><li><em>CWS_REG_395: STAR: A Stage-attributed Triage and Repair framework for RCA Agents in Microservices<br \/><\/em><em><em>Junle Wang, Ruibo Chen, Yuanshuai Wang, Xingchuang Liao, Zhimin Fan, Xiangdong Wu, Wenjun Wu, Jinkun Zhao and Xuehong Liu<\/em><\/em><\/li><li><em>CWS_REG_40: Transferable Unsupervised Time Series Anomaly Detection with Mixture-of-Experts for Web Systems<br \/><\/em><em>Weiwei Huang, Gou Tan and Pengfei Chen<\/em><\/li><\/ul><p><b>CWS-CON-S29: <\/b><b>Service Discovery, Selection and Recommendation<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Yanwei Xu<\/b><\/p><ul><li><em>CWS_REG_335: Flow Matching with Collaborative Contexts and Variational Interests for POI Recommendation<br \/><\/em><em><em>Yanwei Xu, Jinbiao Yao, Wenpeng Jia, Weiming Liu, Xuyun Zhang and Bin Cui<\/em><\/em><\/li><li><em>CWS_REG_45: 14<br \/><\/em><em><em>Shuaijun Chen, Omid Tavallaie, Niousha Nazemi, Xin Chen and Albert Zomaya<\/em><\/em><\/li><li><em>CWS_SHT_93: Mix and Match: Flexible De-mixing of Bitcoin Mixers<br \/><\/em><em><em>Donghee Kim, Juyeon Yi and Junbeom Hur<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_158: FIDES: Federated Inter-organizational system Dynamics for Explorative process Simulation<br \/><\/em><em><em>Silas Workman, Joyce El Haddad and Daniela Grigori<\/em><\/em><\/li><\/ul><p><b>CWS-CON-S21: <\/b><b>Service Discovery, Selection and Recommendation<br \/><\/b><b>14:10 &#8211; 15:20<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Xiangyu Bai<\/b><\/p><ul><li><em>CWS_SHT_136: YOLO-ADM: A Lightweight Infrared Small Target Detection Method Based on UAV Remote Sensing Images<br \/><\/em><em><em>Dianrui Wang, Xiangyu Bai and Haoran Cheng<\/em><\/em><\/li><li><em>CWS_SHT_324: Magnitude-Calibrated Contrastive Alignment for Multimodal Recommendation<br \/><\/em><em><em>Yacong Yang, Hang Lv, Guofang Ma and Yanchao Tan<\/em><\/em><\/li><li><em>CWS_SHT_44: Dual-Purpose Editable Prompts: Correcting Rating-review Inconsistency for LLM-based Explainable Recommendation<br \/><\/em><em><em>Mengying Zhu, Feiyue Chen, Mengyuan Yang, Guanjun Xu, Yangyang Wu, Guofang Ma, Guanjie Cheng and Xiaolin Zheng<\/em><\/em><\/li><li><em>CWS_SHT_65: Ranking-Aware Semantic Alignment for LLM-Based Recommendation<br \/><\/em><em>Chaopeng Dou, Yongqiang Gao, Yongmei Liu, Zijian Qiao and Jingjin Luo<\/em><\/li><\/ul><p><b>CWS-CON-S3: <\/b><b>IoT Edge and Cloud Services<br \/><\/b><b>14:10 &#8211; 15:20<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Zilan Huang<\/b><\/p><ul><li><em>CWS_REG_104: RISE: Relay Inference and Online Scheduling for Efficient Edge-Device Collaborative Diffusion Model Services<br \/><\/em><em><em>Zilan Huang, Zhiqing Tang, Hanshuai Cui, Tian Wang, Yuan Wu, Weijia Jia and Wei Zhao<\/em><\/em><\/li><li><em>CWS_REG_116: Promise: Predictive and Cost-Optimal Migrations for Service-Continuous Edge Intelligence in Multi-UAV Networks<br \/><\/em><em><em>Jian Zhang, Ming Tao, Renping Xie and Yin Zhang<\/em><\/em><\/li><li><em>CWS_REG_172: Resource-Efficient Online Reliability Anomaly Detection for Edge Services via Deep Reinforcement Learning<br \/><\/em><em>Hang Fu, Puwei Wang, Xinyi Liu and Xiaoyong Du<\/em><\/li><\/ul><p><b>CWS-CON-S31: <\/b><b>Microservices<br \/><\/b><b>14:10 &#8211; 15:20<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: gang xu<\/b><\/p><ul><li><em>CWS_REG_117: V-Ideal: Generative Prompting for Fault-Tolerant Multimodal Web Services under Microservice Failures<br \/><\/em><em><em>Bingyan Fan, Winston K. G. Seah, Gang Xu, Xiaodong Xu and Feng Zhang<\/em><\/em><\/li><li><em>CWS_REG_130: Metra: A Fault Localization Technique for Microservice Systems via the Fusion of Metrics and Traces<br \/><\/em><em><em>Chang-Ai Sun, Yubo Kou, Tao Zeng and Jun Han<\/em><\/em><\/li><li><em>CWS_REG_17: Swarm Network-as-a-Service (SNaaS)<br \/><\/em><em>Balsam Alkouz, Osama Amin and Basem Shihada<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S24: <\/b><b>AI services<br \/><\/b><b>15:50 &#8211; 17:00<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Yanchao Tan<\/b><\/p><ul><li><em>CWS_REG_333: Loki&#8217;s Gaze: An Efficient Detection method of LLM Backdoor with Prompt Injection Attacks<br \/><\/em><em><em>Hengqi Guo, Yuebing Zhou, Rongzhen Li and Qiang Duan<\/em><\/em><\/li><li><em>CWS_REG_404: STOCKRL: Execution-Grounded Reinforcement Learning for AI-Driven Portfolio Decision Support with Dual-Level Reward Models<br \/><\/em><em><em>Boyang Yin, Bin Zhang and Ying Liu<\/em><\/em><\/li><li><em>CWS_SHT_340: SHIELD: Semantic Hierarchy-Enhanced Hypergraph Learning for Diagnosis Prediction<br \/><\/em><em>Xusheng Yu, Hang Lv, Guofang Ma, Yanchao Tan, Xing Chen and Carl Yang<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S32: <\/b><b>Microservices<br \/><\/b><b>15:50 &#8211; 17:00<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: KyeongDeok Baek<\/b><\/p><ul><li><em>CWS_REG_20: LANCE: Linguistic Agent Network for Cooperative Ensemble of Heterogeneous Physical AI Services<br \/><\/em><em><em>Kyeongdeok Baek and In-Young Ko<\/em><\/em><\/li><li><em>CWS_REG_21: MIST: Microservice Identification from Sequential Traces<br \/><\/em><em><em>Thakshila Imiya Mohottige, Artem Polyvyanyy, Colin Fidge, Rajkumar Buyya and Alistair Barros<\/em><\/em><\/li><li><em>CWS_REG_212: A Retrieval-Augmented Generation-driven Auto-scaling Method for Microservices in Cloud-native Environments<br \/><\/em><em>Xu Jiang, Zhicheng Cai, Lei Xu and Rajkumar Buyya<\/em><\/li><\/ul><p><b>CWS-CON-S33: <\/b><b>Microservices<br \/><\/b><b>15:50 &#8211; 17:00<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Xinhui Li<\/b><\/p><ul><li><em>CWS_REG_224: SkaaS: A Skill-as-a-Service Architecture for Stateful Service Reasoning in Manual Procedures via FSM-Constrained Multimodal LLMs<br \/><\/em><em><em>Xinhui Li, Zhongguo Yang, Di Li, Yonglu Jiang and Juan Li<\/em><\/em><\/li><li><em>CWS_REG_236: Ensuring Efficiency and Timeliness in Real-Time RAG Services: An AoI-Aware Approach<br \/><\/em><em><em>Jiebei Shi, Xiangru Liang, Yeping Zhu, Jianbing Zhang and Jiwei Huang<\/em><\/em><\/li><li><em>CWS_REG_252: DCRL: Dynamic Causal Representation Learning for Root Cause Localization in Microservice Systems<br \/><\/em><em>Cong Liu, Jianlin Zhang, Yuliang Shi, Shijun Liu, Dong Zhang, Kaiyuan Qi and Zhiyong Chen<\/em><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-358656663\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-358656663\" data-tab-index=\"3\" style=\"--n-tabs-title-order: 3;\" class=\" elementor-element elementor-element-c8e24e3 e-con-full e-flex e-con e-child\" data-id=\"c8e24e3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-d4d3e6f e-flex e-con-boxed e-con e-child\" data-id=\"d4d3e6f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4d5fd61 elementor-widget elementor-widget-text-editor\" data-id=\"4d5fd61\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>CWS-CON-S26: <\/b><b>Data Products and Governance<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: xiaozheng du<\/b><\/p><ul><li><em>CWS_REG_107: FMD-SQL: NL2SQL-as-a-Service for Financial Data Access<br \/><\/em><em><em>Xiaozheng Du, Ruijun Deng, Cheng Wang, Shijing Hu, Feng Zhou and Qiang Duan<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_146: ChunkZ: Fast Chunked Climate Data Compression Using Spatio-temporal Predictors<br \/><\/em><em><em>Shukai Chen, Chengcheng Shao, Jiaming Tan, Yazhen Wang, Xiaoyong Li, Xiang Zhu and Kaijun Ren<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_99: Auditing Black-Box LLM APIs via Token Probabilities and Data Provenance: A Case Study in Source Code Generation<br \/><\/em><em><em>Subhankar Maity, Faiza Belbachir, Omar Boucelma and Guilherme Medeiros Machado<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_181: Data Contracts: Structuring Promises and Expectations in Data Exchange<br \/><\/em><em>Laura Schuiki, Arif Wider and Simon Harrer<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S34: <\/b><b>Service Discovery, Selection and Recommendation<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Zihao Guan<\/b><\/p><ul><li><em>CWS_REG_216: TrustEOV: Robust Endorsement against Contract Manipulation in Execute-Order-Validate Blockchains<br \/><\/em><em><em>Zihao Guan, Bin Zhou, Jianfeng Zhang, Xiang Fu, Feng Jiang and Yan Ding<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_234: MMC-Rec: A Memory-Based Multi-agent Coordination Framework for Recommendation<br \/><\/em><em><em>Xuehan Mao, Guodong Fan, Jing Li, Ming Zhu and Chun Wang<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_258: MHLAR: A Multi-View Fusion Framework Integrating Hypergraph Structures and LLM-Enhanced Semantics for Mobile App Recommendation<br \/><\/em><em>Fenfang Xie, Feng Luo, Mingdong Tang and Caijie Lin<\/em><\/li><\/ul><p><b>CWS-CON-S35: <\/b><b>Microservices<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Wenlong Ke<\/b><\/p><ul><li><em>CWS_REG_62: ESM-RB: Energy-Aware Perceptual Bitrate Adaptation for Mobile Web Streaming Services<br \/><\/em><em><em>Wenlong Ke, Ying Wang, Shigen Shen, Yong Wang, Zhe Chen, Yangfan Liang, Junqi Chen and Yong Zhang<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_64: Toward Effective Resource Prediction for Microservices via Heterogeneity Exploration Fully Investigating Services, Containers, and Nodes<br \/><\/em><em><em>Yueshen Xu, Haibin Han, Shaoling Liang, Junxiao Han, Chen Zhi, Zhongxiao Wang, Huihui Tang and Jiahao Wang<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_73: AMOS: An Affinity-Aware Scheduling Method for OpenHarmony Services in MEC Scenario Driven by Elite-Micro-Population<br \/><\/em><em>Jie Chen, Bohai Zhao, Kai Peng, Xiaolong Xu, Zhiying Tu, Yongchao Xing, Jiaxin Liu and Dianhui Chu<\/em><\/li><\/ul><p><b>CWS-CON-S27: <\/b><b>Service Applications beyond the Web<br \/><\/b><b>14:10 &#8211; 15:20<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Shanyun Liu<\/b><\/p><ul><li><em>CWS_REG_109: HPRCC: Popularity-Aware and Physics-Inspired Content Caching in MEC by Using Adversarial Semi-Bandit Learning<br \/><\/em><em>Jinpeng Li, Xiaoning Sun, Houli Xie, Yunni Xia, Peng Chen, Ziyang Zeng and Lijun Liu<\/em><\/li><\/ul><ul><li><em>CWS_SHT_178: Self-Evolving Neural Systems for Heterogeneous Mobile Devices<br \/><\/em><em>Zhao Li, Peiqi Zhang, Enze Yu, Haipeng Dai, Qiang He and Shanyun Liu<\/em><\/li><\/ul><p><b>CWS-CON-S37: <\/b><b>Microservices<br \/><\/b><b>14:10 &#8211; 15:20<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Zhiqing Tang<\/b><\/p><ul><li><em>CWS_REG_78: ConCise: Training-Free Conclusion-Chain State Compression for Cost-Efficient Multi-Step RAG Services<br \/><\/em><em><em>Kuan Yan, Zhiqing Tang, Tian Wang and Weijia Jia<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_84: Toward Generative AI as a Service for Web Design: Efficient Multi-Style Layout Generation with Meta Networks<br \/><\/em><em><em>Qiwen Xiao, Lu Yu, Kai Wang, Zheng Zhang, Yuejin Li, Shijie Zhang and Xitong Li<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_339: StructGen: A Multi-Agent Generative Service for Automated Web UI Prototyping<br \/><\/em><em><em>Jing Luo, Shuai Zhao, Yihang Su, Jinjian Yang, Hongbo Tang, Chunguang Zhao and Yang Li<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_383: Abyss: A Service-Oriented Architecture for Web-Like Social VR<br \/><\/em><em>Minwoo Song and In-Young Ko<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S38: <\/b><b>Microservices (Track: Reserved-Chairs)<br \/><\/b><b>14:10 &#8211; 15:20<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Stephen Yau<\/b><\/p><ul><li><em>CON_REG_2: Dual Model Learning for Efficient and Effective Visual Services<br \/><\/em><em><em>Mehdi Acheli and Walid Gaaloul<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CON_REG_32: Real-Time Detection of Regulatory Violations in Software Services Using a Large Language Model<br \/><\/em><em><em>Stephen S. Yau, Krishna Kanth Markonda Patnaikuni and Aviroop Nandy<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CON_REG_6: FlowRAG: Control-Flow-Guided Retrieval-Augmented Generation for Service Operating Procedures<br \/><\/em><em>Congcong Tian, Zhongjie Wang, Mingyi Liu, Zhihui Xu, Xinyang Chen, Xingya Zhang, Haitao Zhao and Shuang Yu<\/em><\/li><\/ul><p><b>CWS-CON-S25: <\/b><b>Knowledge Graphs and Semantic Services (Track: Reserved-Chairs)<br \/><\/b><b>15:50 &#8211; 17:00<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Iromie Samarasekara<\/b><\/p><ul><li><em>CON_REG_22: Knowledge-Grounded LLMs for Automated Business Capability Modelling from Enterprise Artefacts<br \/><\/em><em><em>Iromie Samarasekara, Boualem Benatallah, Madhushi Bandara and Fethi Rabhi<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CON_REG_27: Neighborhood-Centric Self-Supervised Graph Models for Imputation as a Service<br \/><\/em><em><em>Erfan Moshiri, Jia Wu, M A Hakim Newton, Min Li, Pooyan Asgari and Amin Beheshti<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CON_REG_24: PRISM:A Calibrated Multi-Signal Trust Framework for KG-Based Selective Prediction in API Service Ecosystems<br \/><\/em><em>Parimehr Morassa Far, Amin Beheshti, Kamyar Taeb, Alireza Shammasi, Ali Shahsavandi and M A Hakim Newton<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S4: <\/b><b>Microservices<br \/><\/b><b>15:50 &#8211; 17:00<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Shu Yang<\/b><\/p><ul><li><em>CWS_REG_299: SCALER: LLM-based Cross-Modal Alignment for Microservice Root Cause Analysis<br \/><\/em><em><em>Shu Yang, Geyuan Wang, Zhongxing Ming, Dongbiao He, Laizhong Cui, Xian Yu and Xu Zhou<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_307: TORCL: Lightweight Root Cause Localization with Temporal-Order-Aware Ranking in Microservices<br \/><\/em><em><em>Ruyue Xin, Peng Chen and Yunni Xia<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_320: A Two-Stage Multi-Objective Evolutionary Approach for Joint Optimization of Microservice Replication and Allocation in Energy-Aware Clouds<br \/><\/em><em>Boxiong Tan, Hui Ma, Yi Mei, Sven Hartmann and Mengjie Zhang<\/em><\/li><\/ul><p><b>CWS-CON-S40: <\/b><b>QoS Monitoring and Resource Management<br \/><\/b><b>15:50 &#8211; 17:00<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Hanchuan Xu<\/b><\/p><ul><li><em>CWS_REG_241: From Latent Embeddings to Explainable QoS Preferences: A Generative Inference Model with Feasibility Regularization<br \/><\/em><em><em>Min Li and Hanchuan Xu<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_298: JPSTL: Joint Probabilistic Signal Temporal Logic for Predictive Composition Monitoring<br \/><\/em><em><em>Yixuan Chen, Zhangbing Zhou, Deng Zhao and Jiangwei Li<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_347: HPGPIN: A Hypergeometric Prior-Guided Physics-Informed Neural Framework for Satellite Task Scheduling<br \/><\/em><em>Wenhan Hou, Yingjie Wang, Zhaoxiang Li and Haojun Teng<\/em><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-358656664\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-358656664\" data-tab-index=\"4\" style=\"--n-tabs-title-order: 4;\" class=\" elementor-element elementor-element-7f230eb e-flex e-con-boxed e-con e-child\" data-id=\"7f230eb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-b30100d e-con-full e-flex e-con e-child\" data-id=\"b30100d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6ba264e elementor-widget elementor-widget-text-editor\" data-id=\"6ba264e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>CWS-CON-S36: <\/b><b>Microservices<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: DI SHAO<\/b><\/p><ul><li><em>CWS_SHT_138: PACT-IP: A Policy-Governed and Auditable Continuous IP Triage Service for SOCs<br \/><\/em><em><em>Di Shao, Aiting Yao, Chengzu Dong, Huan Zhang, Huchen Zhou and Zhaoquan Gu<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_284: CompQ: QoE-Aware Compensation for Resumed Requests in Interactive LLM Inference Services<br \/><\/em><em><em>Yinming Tan, Jinquan Zhang, Long Chen, Kai Di and Pan Li<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_285: Feedback Control-Based Self-Adaptive Cloud Resource Provisioning for Multi-tier Web Systems<br \/><\/em><em><em>Yamin Lei, Jinquan Zhang, Long Chen, Zhicheng Cai and Rajkumar Buyya<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_SHT_293: OpenBinding: An Extensible, Plug-and-Play API Gateway for Cross-Engine QACO Solving<br \/><\/em><em>Francisco Javier Cavero, Jos\u00e9 Antonio Parejo and Antonio Ruiz-Cort\u00e9s<\/em><\/li><\/ul><p><b>CWS-CON-S41: <\/b><b>QoS Monitoring and Resource Management<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Jiaming Tan<\/b><\/p><ul><li><em>CWS_REG_349: QoS-Aware Semantic Routing for OGC API-EDR and Tiles over Sharded Zarr Metocean Data Cubes<br \/><\/em><em><em>Jiaming Tan, Chengcheng Shao, Xiaoyong Li, Kaijun Ren, Shukai Chen, Yazhen Wang and Hui Zhang<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_REG_71: QoS-Aware Orchestration for On-Orbit Training Services across LEO Satellite Systems<br \/><\/em><em>Nan Yang, Bahman Javadi, Rodrigo Neves Calheiros, David Boland, Muhammad Umair and Philip Leong<\/em><\/li><\/ul><p><b>CWS-CON-S5: <\/b><b>IoT Edge and Cloud Services<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Lingyu Song<\/b><\/p><ul><li>CWS_REG_183: HeatMoE: A Heat-Aware Hybrid Architecture for Serverless Mixture-of-Experts Training<br \/>Lingyu Song, Huiying Jin, Yunfei Zhang, Hai Dong and Pengcheng Zhang<\/li><li>CWS_REG_189: A Novel Method to Anomaly-adaptive Task Offloading in Vehicular Edge Computing<br \/>Yujia Song, Houli Xie, Yunni Xia, Xingli Zhong and Na Zhao<\/li><li>CWS_REG_200: FedAlloy: Dual-Channel Federated Learning across Quantized and Heterogeneous Language Models<br \/>Jianfeng Ling, Feilong Feng, Jinquan Zhang, Long Chen and Jihong Wan<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-358656665\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-358656665\" data-tab-index=\"5\" style=\"--n-tabs-title-order: 5;\" class=\" elementor-element elementor-element-eef57db e-flex e-con-boxed e-con e-child\" data-id=\"eef57db\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4503884 e-con-full e-flex e-con e-child\" data-id=\"4503884\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a27c322 elementor-widget elementor-widget-text-editor\" data-id=\"a27c322\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>CWS-CON-S39: <\/b><b>Generative AI<br \/><\/b><b>10:40 &#8211; 11:50<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Boming Zhu<\/b><\/p><ul><li><em>CWS_SHT_128: TFLLM4Load: Time-Frequency Enhanced LLM-enabled Framework for Multi-Scale Workload Prediction with External Forecasting Priors<br \/><\/em><em><em>Boming Zhu, Xiaojian Gao, Chang Liu, Xiupu Lang and Haopeng Chen<\/em><\/em><\/li><li><em>CWS_SHT_154: Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation<br \/><\/em><em><em>Bagus Rakadyanto Oktavianto Putra, Muhamad Risqi Utama Saputra and Guntur Dharma Putra<\/em><\/em><\/li><li><em>CWS_SHT_268: Early Find Early Stop: Enhancing Multi-Agent System Efficiency via Hierarchical Real-Time Validation<br \/><\/em><em><em>Zhuangyu Ma, Yanjun Shu, Longyao Zhang, Dawei Chen, Feng Xia, Wei Emma Zhang, Decheng Zuo and Dongxin Wen<\/em><\/em><\/li><li><em>CWS_SHT_34: ReKV: Cross-Precision Model Switching with Persistent KV Cache Reuse for LLM Serving<br \/><\/em><em>Jiali Wu, Minxian Xu, Yang Wang, Kejiang Ye, Hao Dai and Chengzhong Xu<\/em><\/li><\/ul><p>\u00a0<\/p><p><b>CWS-CON-S6: <\/b><b>IoT Edge and Cloud Services<br \/><\/b><b>10:40 &#8211; 11:50<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: ShiKun HE<\/b><\/p><ul><li><em>CWS_REG_201: MARS: Dynamic Micro-Batching and Heterogeneous-Aware Scaling for MLLM Services in Cloud-Edge Collaboration<br \/><\/em><em><em>Shikun He, Binbin Feng and Zhijun Ding<\/em><\/em><\/li><li><em>CWS_REG_226: F2-AFL: A Fairness- and Freshness-Aware Approach of Asynchronous Federated Learning for IIoT<br \/><\/em><em><em>Jie Chen, Jiebei Shi, Ruiqi Zhang, Yeping Zhu, Jianbing Zhang and Jiwei Huang<\/em><\/em><\/li><li><em>CWS_REG_233: Fully Decentralized Mixture-of-Experts-based Placement of AI-enabled Fog Applications<br \/><\/em><em>Eunchan Park and In-Young Ko<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S7: <\/b><b>IoT Edge and Cloud Services<br \/><\/b><b>10:40 &#8211; 11:50<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Thilina Lokuruge<\/b><\/p><ul><li><em>CWS_REG_280: Agentic-AI Detection of Trust Data Tampering in Crowdsourced IoT Services<br \/><\/em><em><em>Thilina Lokuruge and Athman Bouguettaya<\/em><\/em><\/li><li><em>CWS_REG_281: DP-FedOR: Improving Differentially Private Federated Learning via Adaptive Origin Tracking and Residual Privatization<br \/><\/em><em><em>Meiguang Zheng, Zijie Hu, Hao Zheng, Liu Yang, Xi Li, Jinlin Gui and Wenrui Li<\/em><\/em><\/li><li><em>CWS_REG_294: A File-Centric Collaborative Migration Framework for Containerized Services in Edge Computing<br \/><\/em><em>Jiangwei Li, Zhangbing Zhou, Sami Yangui, Deng Zhao, Yixuan Chen and Zhenjie Yu<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S42: <\/b><b>QoS Monitoring and Resource Management<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: Weipeng Cao<\/b><\/p><ul><li><em>CWS_SHT_16: SG-LR QoS: Sparse-Gating and Layered Low-Rank Based Lightweight QoS Monitoring for Multi-tenant Clouds<br \/><\/em><em><em>Pengwei Liu, Minxian Xu, Jiongjiong Gu, Chuanfei Xu, Weipeng Cao and Zhong Ming<\/em><\/em><\/li><li><em>CWS_SHT_214: Critical-Path-Aware Dependent Task Offloading and Scheduling for Multi-Satellite Cooperative Networks<br \/><\/em><em><em>Chunhong Liu, Xiaoyu Cui, Jialei Liu, Tongguang Zhang, Bo Cheng and Peiyan Yuan<\/em><\/em><\/li><li><em>CWS_SHT_249: QueueBreak: A Trace-to-Diagnosis Pipeline for Tail Latency in Agentic LLM Services<br \/><\/em><em><em>Xingrao Ma, Zongxi Li, Chengzu Dong, Shao Di and Xiao Liu<\/em><\/em><\/li><li><em>CWS_SHT_380: Minimizing Execution Delays in Configuration Management Systems via TFSM Synchronizing and Homing Sequences<br \/><\/em><em>Evgenii Vinarskii, Natalia Kushik and Djamal Zeghlache<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S8: <\/b><b>Service Discovery, Selection and Recommendation<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 109<br \/><\/b><b>Session Chair: Wenbin Hu<\/b><\/p><ul><li><em>CWS_REG_261: Social Recommendation with Generative Adversarial Denoising<br \/><\/em><em><em>Junwei Hu, Xiantao Cai and Wenbin Hu<\/em><\/em><\/li><li><em>CWS_REG_301: Detecting Vulnerability Patch Commits via Version Filtering and Large Language Models<br \/><\/em><em><em>Haoran Xu, Chen Zhi, Junxiao Han, Zhen Qin, Xinkui Zhao, Jianwei Yin and Shuiguang Deng<\/em><\/em><\/li><li><em>CWS_REG_316: Multi-Source Drift-Aware Online Simulation of Evolving Business Processes<br \/><\/em><em>Chao Zheng, Jian Wang and Bing Li<\/em><\/li><\/ul><p><b>\u00a0<\/b><\/p><p><b>CWS-CON-S9: <\/b><b>IoT Edge and Cloud Services<br \/><\/b><b>13:00 &#8211; 14:10<br \/><\/b><b>Room: 210<br \/><\/b><b>Session Chair: Zhiqing Tang<\/b><\/p><ul><li><em>CWS_REG_304: CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document Isolation<br \/><\/em><em><em>Xuedong Hu, Zhiqing Tang, Zhi Yao, Tian Wang and Weijia Jia<\/em><\/em><\/li><li><em>CWS_REG_353: RE-ACTOR: Reinforced Attention Encoder for Service Conflict Resolution In IoT Systems<br \/><\/em><em><em>Christson Awanyo and Nawal Guermouche<\/em><\/em><\/li><li><em>CWS_REG_36: A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response<br \/><\/em><em>Yulun Huang, Zhiyu Wang and Rajkumar Buyya<\/em><\/li><\/ul><p>\u00a0<\/p><p><b>CWS-CON-S43: <\/b><b>QoS Monitoring and Resource Management<br \/><\/b><b>14:10 &#8211; 15:20<br \/><\/b><b>Room: 105<br \/><\/b><b>Session Chair: LI YI<\/b><\/p><ul><li><em>CWS_REG_98: QoS-Aware Soft Failure Detection for Drone Swarms via Adaptive Knowledge-Data Fusion<br \/><\/em><em>Yi Li, Zhangbing Zhou, Yangui Sami, Alireza Furutanpey and Schahram Dustdar<\/em><\/li><li><em>CWS_REG_344: iRUC++: Traffic-Aware Adaptive Unified Computation for Communication-Dense Microservices<br \/><\/em><em><em>Xinyi Liu, Puwei Wang, Keman Huang and Xiaoyong Du<\/em><\/em><\/li><li><em>CWS_WIP_306: An Adaptive Federated Service Evolution Framework for Industrial Operations Analytics under Dynamic Participation<\/em><br \/><em>Daobin Luo, Yuru Liu, Weishan Zhang, Yuange Liu, Qiao Qiao, Lingzhao Meng and Lianyong Qi<\/em><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-358656666\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-358656666\" data-tab-index=\"6\" style=\"--n-tabs-title-order: 6;\" class=\" elementor-element elementor-element-dd35ed9 e-flex e-con-boxed e-con e-child\" data-id=\"dd35ed9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-c66fbb9 e-con-full e-flex e-con e-child\" data-id=\"c66fbb9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-320626c elementor-widget elementor-widget-text-editor\" data-id=\"320626c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">CWS-WIP-S1: <\/span><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">Service Discovery, Selection and Recommendation<br \/><\/span><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">09:00 &#8211; 10:10<br \/><\/span><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">Room: 105<br \/><\/span><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">Session Chair: Evan Krul<\/span><\/strong><\/p><div class=\"page\" title=\"Page 37\"><div class=\"section\"><div class=\"layoutArea\"><div class=\"column\"><ul><li><em>CWS_WIP_112: ACCORD: Accountable Credential Disclosure for Self-Sovereign Identity<br \/><\/em><em><em>Evan Krul, Hye-young Paik, Sushmita Ruj and Salil S. Kanhere<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_120: Towards a Unified View of Configuration Problems in the Computing Continuum<\/em><br \/><em><em>Alejandro Garci\u0301a-Ferna\u0301ndez, Boris Sedlak, Jose\u0301 Antonio Parejo, Pantelis Frangoudis, Antonio Ruiz-Corte\u0301s and Schahram Dustdar<\/em><\/em><p>\u00a0<\/p><\/li><li><em><em>CWS_WIP_127: Dual-Queue Lyapunov Optimization for Skill-Aware Task Assignment in Crowdsourcing<br \/>Andrew Putra Kusuma and Han Yu<\/em><\/em><p>\u00a0<\/p><\/li><li><em><em>CWS_WIP_176: A Reuse-Aware Encoding-Mechanism Framework for Concurrent MEC Task Offloading <br \/>Hualong Wu, Yucheng Liu, Weizhe Zhang, Desheng Wang, Hainan Zhang and Wei Gao<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_193: Towards Prosocial Equilibrium: Conformity-Driven Group Cooperation Emergence<\/em><br \/><em><em>Yuheng Liu, Xiaodong Fu, Li Liu, Jie Li, Wei Peng and Jiaman Ding<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_282: Veriflood Attack: Exploiting Mandatory CAPTCHA Verification into a Flooding Primitive <br \/>Hyejin Lee, Woonghee Lee and Junbeom Hur<\/em><\/li><\/ul><div class=\"page\" title=\"Page 37\"><div class=\"section\"><div class=\"layoutArea\"><div class=\"column\"><p>\u00a0<\/p><p><strong>CWS-WIP-S2: IoT Edge and Cloud Services<\/strong><br \/><strong><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">09:00 &#8211; 10:10<br \/><\/span><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">Room: 109<br \/><\/span><span style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'\">Session Chair: Zhenquan Liu<\/span><\/strong><\/p><\/div><\/div><\/div><\/div><div class=\"page\" title=\"Page 38\"><div class=\"section\"><div class=\"layoutArea\"><div class=\"column\"><ul><li><em>CWS_WIP_133: LLM-Driven Evolutionary Search for IoT Task Scheduling in Edge Computing<\/em><br \/><em><em>Xiulei Liu, Zhenquan Liu and Yongpeng Xu<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_141: GPL: A Graph-Based Learning Approach for Mobility-Aware Multi-SFC Placement in Mobile Edge Computing<\/em><br \/><em><em>Yi Yue, Ying Liu, Zhengxin Han, Shuai Zhang, Chang Cao and Xiongyan Tang<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_144: Revenue-Driven Content Deployment in Edge Communities<\/em><br \/><em><em>Zhen Zhang, Hongyue Wu, Yunfei Luo, Shizhan Chen and Zhiyong Feng<\/em><\/em><p>\u00a0<\/p><\/li><li><em><em>CWS_WIP_217: Edge-Assisted Collaborative Perception Service with Correction-Detection-Prediction Architecture<br \/>Yiru Lin, Ningzhe Liu and Zhijun Ding<\/em><\/em><p>\u00a0<\/p><\/li><\/ul><div class=\"page\" title=\"Page 38\"><div class=\"section\"><div class=\"layoutArea\"><div class=\"column\"><p><strong>CWS-WIP-S3: Microservices<\/strong><br \/><strong>09:00 &#8211; 10:10<\/strong><br \/><strong>Room: 210<\/strong><br \/><strong>Session Chair: Shuhan Yang<\/strong><\/p><ul><li><em>CWS_WIP_123: Generative Similar Weather Retrieval with Physics-Aligned Hierarchical Identifiers<\/em><br \/><em><em>Yazhen Wang, Xiaoli Ren, Xiaoyong Li, Haibo Tang, Shukai Chen, Jiaming Tan and Kaijun Ren<\/em><\/em><p>\u00a0<\/p><\/li><li><em><em>CWS_WIP_142: Robust Privacy Unlearning for LLM Services via Adversarially Augmented Preference Optimization <br \/>Shuhan Yang, Yao Guan and Qiang Duan<\/em><\/em><p>\u00a0<\/p><\/li><li><em><em>CWS_WIP_157: EVA: An Event-Conditioned Framework for Privacy-Preserving Face Authentication Services <br \/>Yuqin Zhang, Xiao Liu, Hui Zhang, Xuejun Li, Jia Xu and Frank Jiang<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_162: Royalty Distribution Models for Referable NFT-based Services<\/em><br \/><em><em>Ruiqiang Li, John Le, Brian Yecies, Qin Wang and Shiping Chen<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_173: Mitigating Semantic Confusion in LLM-Integrated Web Services via Dynamic Dual-Stream Intent Matching<\/em><br \/><em><em>Zhenghao Zhao, Qingwen Zeng, Yitian Yang and Huaming Chen<\/em><\/em><p>\u00a0<\/p><\/li><li><em><em>CWS_WIP_222: Adaptive Partition and Resource Allocation for Collaborative Inference Services in UAV Swarm <br \/>Ying Dong, Jiebei Shi, Songwei Li, Yuzhou Gao, Yeping Zhu, Jianbing Zhang and Jiwei Huang<\/em><\/em><p>\u00a0<\/p><\/li><li><em><em>CWS_WIP_228: Toward Value-Aware Metadata for Extreme-Event Retrieval in Cloud-Native Climate Data Services <br \/>Jiaming Tan, Chengcheng Shao, Xiaoyong Li, Xiang Zhu, Kaijun Ren, Shukai Chen and Yazhen Wang<\/em><\/em><p>\u00a0<\/p><\/li><li><em>CWS_WIP_52: HiCoSched: An Investigation of Scheduling Strategies for Online-Offline LLM Co-Serving via Hardware-Insensitive Backtesting<\/em><br \/><em>Chang Xu, Zhen Chen, Chuxuan Zeng, Zhiyong Zhuo, Chun Fan and Tingting Long<\/em><\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Part of the 2026 IEEE World Congress on SERVICES July 13-18Sydney, Australia Home ICWS Program Call for Papers ICWS Organizers ICWS 2026 &#8211; Program July 13 July 14 July 15 July 16 July 17 July 18 CWS-CON-S11: IoT Edge and Cloud Services09:00 &#8211; 10:10Room: 105Session Chair: George Aziz CWS_SHT_145: FedTTP: Test-Time Transformer Personalisation for Federated [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-573","page","type-page","status-publish","hentry"],"featured_image_src":null,"featured_image_src_square":null,"_links":{"self":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/pages\/573","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/comments?post=573"}],"version-history":[{"count":0,"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/pages\/573\/revisions"}],"wp:attachment":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/media?parent=573"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}