| 2026 | iQ-Guard: An Effective and Noise-Resistant Framework for Graph Fraud Detection on iQIYI Platform. | Yuting Huang, Ziquan Fang, Zhengjie Zhou, Tinghui Luo, Lu Chen, Surun Ji, Huimei Zheng, Mingfan Lu, Fangshu Chen, Yunjun Gao |
| 2026 | RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation. | Yixuan Huang, Jiawei Chen, Shengfan Zhang, Zongsheng Cao |
| 2026 | Beyond Class Boundaries: Federated Visual Primitive Sharing with Text-Guided Adaptation. | Yongqiang Huang, Yingyu Chen, Tao Wang, Zexin Lu, Zerui Shao, Beibei Li, Yi Zhang |
| 2026 | STAR: Semantic Table Representation with Header-Aware Clustering and Adaptive Weighted Fusion. | Shui-Hsiang Hsu, Tsung-Hsiang Chou, Chen-Jui Yu, Yao-Chung Fan |
| 2026 | Source Localization in Continuous-Time Propagation via Spectral ODE Modeling. | Dongpeng Hou, Yuchen Wang, Giulio Cimini, Roberto Benzi, Huixiang Zhang, Zhen Wang, Chao Gao |
| 2026 | WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging. | Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li, Si Wei |
| 2026 | PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing. | Junyi Hou, Andre Huikai Lin, Nuo Chen, Yiwei Gong, Bingsheng He |
| 2026 | Graph Poisoning for Node Rank Manipulation. | Seyed Mohammad Hosseini, Radin Hamidi Rad, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework. | Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Li |
| 2026 | GRADE: Personalized Multi-Task Fusion via Group-Relative Reinforcement Learning with Adaptive Dirichlet Exploration. | Tingfeng Hong, Pingye Ren, Xinlong Xiao, Chao Wang, Chenyi Lei, Wenwu Ou, Han Li |
| 2026 | Multimodal Peer Review Simulation with Actionable To-Do Recommendations for Community-Aware Manuscript Revisions. | Mengze Hong, Di Jiang, Weiwei Zhao, Yawen Li, Yihang Wang, Xinyuan Luo, Yanjie Sun, Chen Jason Zhang |
| 2026 | CiteLLM: An Agentic Platform for Trustworthy Scientific Reference Discovery. | Mengze Hong, Di Jiang, Chen Jason Zhang, Zichang Guo, Yawen Li, Jun Chen, Shaobo Cui, Zhiyang Su |
| 2026 | WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction. | Qian Hong, Siyuan Chang, Xiao Zhou |
| 2026 | Dynamic Multi-period Experts for Online Time Series Forecasting. | Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu |
| 2026 | A Life?Cycle Assessment of the Hidden Environmental Cost of Selfies. | Tilen Hlis, Urska Butolen, Iztok Fister, Iztok Fister Jr. |
| 2026 | Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso. | Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2026 | Glasses: Enabling Fast Environment-aware Few-Shot Learning via Device-Cloud Collaboration. | Qiang He, Sheng Zhong, Jiazhen Yang, Feifei Chen, Hai Jin, Yun Yang |
| 2026 | DualDis: A Dual Disentanglement Network for Vehicle Re-identification. | Wenying He, Feiyu Wang, Guangquan Xu, Yude Bai, Fei Guo |
| 2026 | Enhancing Content Moderation with LLMs: A Reddit Case Study on Evaluating and Refining Human Decisions. | Jiahui He, Yiluo Wei, Gareth Tyson |
| 2026 | The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning. | Longzhu He, Peng Tang, Li Sun, Sen Su |
| 2026 | FCRLLM: Aligning LLM with Collaborative Filtering for Long-tailed Sequential Recommendation. | Byungmoon Heo, Namjun Lee, Seonah Kim, Jaekwang Kim |
| 2026 | FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. | Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He |
| 2026 | Debating Truth: Debate-driven Claim Verification with Multiple Large Language Model Agents. | Haorui He, Yupeng Li, Dacheng Wen, Yang Chen, Reynold Cheng, Donglong Chen, Francis C. M. Lau |
| 2026 | ICL-Evader: Zero-Query Black-Box Evasion Attacks on In-Context Learning and Their Defenses. | Ningyuan He, Ronghong Huang, Qianqian Tang, Hongyu Wang, Xianghang Mi, Shanqing Guo |
| 2026 | PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. | Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rmer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng |