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| 2025 | Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture. | Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang |
| 2025 | Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. | Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao |
| 2025 | Large Language Model for E-Commerce Workshop. | Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang |
| 2025 | Efficient and Practical Approximation Algorithms for Advertising in Content Feeds. | Guangyi Zhang, Ilie Sarpe, Aristides Gionis |
| 2025 | User-LLM: Efficient LLM Contextualization with User Embeddings. | Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie |
| 2025 | Highly-efficient Minimization of Network Connectivity in Large-scale Graphs. | Mingyang Zhou, Gang Liu, Kezhong Lu, Hao Liao, Rui Mao |
| 2025 | Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. | Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan |
| 2025 | Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning. | Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui |
| 2025 | Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. | Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long |
| 2025 | Relying on the Metrics of Evaluated Agents. | Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee |
| 2025 | Two-stage Auction Design in Online Advertising. | Zhikang Fan, Lan Hu, Ruirui Wang, Zhongrui Ma, Yue Wang, Qi Ye, Weiran Shen |
| 2025 | LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. | Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu |
| 2025 | AI for Women's Health: Framework and Focus Areas. | Jie Lu, Angela Dawson, Kairui Guo, Deborah Fox, Fahimeh Ramezani, Susan Morton, Kathleen Baird, Zelia Soo, Kezhi Lu, Guodong Long, Debra Anderson |
| 2025 | MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization. | Xiaolong Xu, Yuxin Cao, Hongsheng Hu, Haolong Xiang, Lianyong Qi, Junqun Xiong, Wanchun Dou |
| 2025 | Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. | Siyu Wang, Xiaocong Chen, Lina Yao |
| 2025 | Distributed Ledger and Text Watermarking for Fine-Grain Provenance Checking of Textual Content. | Flavio Bertini, Alessandro Benetton, Danilo Montesi |
| 2025 | AI for Science: The Next Big Opportunity. | Jon Whittle |
| 2025 | Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. | Sungwon Park, Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha |
| 2024 | Knowledge Enhanced Multi-intent Transformer Network for Recommendation. | Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo |
| 2024 | Multimodal Pretraining and Generation for Recommendation: A Tutorial. | Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong |
| 2024 | APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT. | Yiming Zhu, Zhizhuo Yin, Gareth Tyson, Ehsan ul Haq, Lik-Hang Lee, Pan Hui |
| 2024 | GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. | Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang |
| 2024 | M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. | Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | Collaborative Large Language Model for Recommender Systems. | Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |