| 2025 | EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens. | Chaoqun Yang, Xinyu Lin, Wenjie Wang, Yongqi Li, Teng Sun, Xianjing Han, Tat-Seng Chua |
| 2025 | MedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis. | Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Fenglong Ma |
| 2025 | RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning. | Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian |
| 2025 | Enhancer: A Distribution-Aware Framework with Temporal-Relational Meta-Learning for Stock Prediction. | Weijun Chen, Shun Li, Heyuan Wang, Tengjiao Wang |
| 2025 | CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels. | Ruofan Hu, Dongyu Zhang, Huayi Zhang, Elke A. Rundensteiner |
| 2025 | Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations. | Junhao Liu, Pengpeng Zhang, Martin Renqiang Min, Jing Zhang |
| 2025 | An Auto-Coupon Framework for Advertiser Retention in Online Advertising. | Yidan Xing, Haoqi Zhang, Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Fan Wu |
| 2025 | Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head. | Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An |
| 2025 | Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks. | Zihan Feng, Yajun Yang, Xin Huang, Hong Gao, Liping Jing, Qinghua Hu |
| 2025 | FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation. | Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu |
| 2025 | TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations. | Yihang Lu, Yangyang Xu, Qitao Qin, Xianwei Meng |
| 2025 | GDendrite: On Heterophilous Graph Contexts Mining with Versatile Neural Dendrites Framework. | Ruikun Li, Ye Xiao, Xiaoxiao Ma, Andrey Vasnev, Junbin Gao |
| 2025 | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2025 | Advancing Graph Foundation Models: A Data-Centric Perspective. | Yuhan Li, Yuyao Wang, Jianheng Tang, Heng Chang, Yuxiang Ren, Jia Li |
| 2025 | The 2nd Workshop on Large Language Models for E-Commerce. | Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang |
| 2025 | Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data. | Junhao Zhu, Tao Wang, Lu Chen, Ziquan Fang, Yunjun Gao, Tianyi Li |
| 2025 | CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies. | Brian M. Cho, Ana-Roxana Pop, Kyra Gan, Sam Corbett-Davies, Israel Nir, Ariel Evnine, Nathan Kallus |
| 2025 | ConciseExplain: Reducing Redundancy and Spuriousness in Persuasive Recommendation Explanation. | Yixuan Cao, Juyao Liu, Haodong Wang, Jian Wang, Kun Wan, Gang Xiao, Ping Luo |
| 2025 | A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. | Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li |
| 2025 | Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. | Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang |
| 2025 | FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. | Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane |
| 2025 | Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning. | Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin |
| 2025 | Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. | Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng |
| 2025 | Enhancing Generalization in Large-Scale HCVRP: A Rank-Augmented Neural Solver. | Qidong Liu, Jiurui Lian, Chaoyue Liu, Zhiguang Cao |
| 2025 | CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning. | Bin Qin, Qirui Ji, Jiangmeng Li, Yupeng Wang, Xuesong Wu, Jianwen Cao, Fanjiang Xu |