| 2026 | Adaptive Graph Reweighting for Collaborative Filtering. | Yijun Sheng, Ximing Chen, Pui Ieng Lei, Yanyan Liu, Zhiguo Gong |
| 2026 | Augmenting Cross-View Geo-Localization with Spatial Semantics from Vision Foundation Models. | Ji Shen, Lixing Chen, Yang Bai, Zhongqi Miao, Zhe Qu, Pan Zhou, Jianhua Li |
| 2026 | AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Xixian Wang, Zhibo Xiao, Dimin Wang, Jialin Zhu, Yuning Jiang, Feiran Huang, Hao Chen |
| 2026 | Rethinking Object Detection and Tracking. | Arpit Sharma, Lei Wang, Yongsheng Gao |
| 2026 | Responsible Prompting on the Web: Governance, Mini-Evaluation, and Readiness with ChatGPT. | Manali Sharma, Ayush Garg |
| 2026 | Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks. | Mingxing Shao, Tiancheng Zhang, Yifang Yin, Wenhui Wu, Zikai Li, Minghe Yu, Fangling Leng, Ge Yu |
| 2026 | DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation. | Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Sunghun Kim, Xu Cai |
| 2026 | BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. | Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang |
| 2026 | Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation. | Shuo Shao, Yiming Li, Hongwei Yao, Yifei Chen, Yuchen Yang, Zhan Qin |
| 2026 | Route-and-Reason: Energy-Efficient Scaling of LLM Reasoning via Reinforced Model Routing. | Chenyang Shao, Xinyang Liu, Yutang Lin, Fengli Xu, Yong Li |
| 2026 | LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training. | Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang |
| 2026 | Practical Group Steiner Tree Algorithms for Web Applications with Many Groups. | Qicheng Shan, Yuxuan Yang, Gong Cheng |
| 2026 | ImVision: Adapting Pretrained Vision Models for Time-Series Imputation. | Alireza Shammasi, Amin Beheshti, Milad Mosharraf, Min Li, Pooyan Asgari, Yuankai Qi |
| 2026 | DHOW-MiLLA: Joint Workshop on Diffusion of Harmful Content on Online Web and Countering Misinformation in the Age of LLMs and Agents. | Gautam Kishore Shahi, Thomas Mandl, Haiming Liu, Amit Kumar Jaiswal, Durgesh Nandini, Luis-Daniel Ibez, Junichi Suga, Dai Yamamoto, Rahul Mishra, Rajakrishnan P. Rajkumar, Sagar Uprety, Bornali Phukon, Sujit Kumar |
| 2026 | Automating Computational Reproducibility in Social Science: Comparing Prompt-Based and Agent-Based Approaches. | Syed Mehtab Hussain Shah, Frank Hopfgartner, Arnim Bleier |
| 2026 | IO-X: Detecting and Attributing Content-Duplicating Influence Operations on X (Twitter). | Ashfaq Ali Shafin, Md Nahid Siddique, Bogdan Carbunar |
| 2026 | Understanding Strategic Platform Entry and Seller Exploration: A Stackelberg Model. | Garrett Seo, Xintong Wang, David C. Parkes |
| 2026 | BiasEdit: A Training-Free Bias-Detect-and-Edit Framework for Learning Fair Visual Classifiers. | Jungwook Seo, Yoonsik Park, Changmin Lee, Sungyong Baik |
| 2026 | MACA: A Multi-Agent Cognitive Adaptation Framework for Human-Agent Collaborative Decision Making. | Youn Jun Seong, Hayoung Oh |
| 2026 | SCOUT: Structure-Aware Aspect and Anchor-Count Selection for Node Attribute Augmentation via Positional Information. | Dong-Hyuk Seo, Sein Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim |
| 2026 | Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge. | Oshani Seneviratne, Fernando Spadea, Adrien Pavao, Aaron Micah Green, Kristin P. Bennett |
| 2026 | Welcome from the History of the Web Track Chairs. | Oshani Seneviratne, Wendy Hall |
| 2026 | GlotWeb: Web Indexing for Minority Languages. | Abdullah Al Sefat, Amir Hossein Kargaran, Franois Yvon, Hinrich Schtze |
| 2026 | Trust on Reload: Securing Browser-Based End-to-End Encryption. | Simon Schwarz, Florian Bauckholt, Leon Trampert |
| 2026 | ORKG Properties Ontology Consolidated: LLM-Driven Refinement of Crowdsourced Knowledge for Machine-Actionability. | Sandra Schaftner, Martin Gaedke |