| 2025 | DarkDistill: Difficulty-Aligned Federated Early-Exit Network Training on Heterogeneous Devices. | Lehao Qu, Shuyuan Li, Zimu Zhou, Boyi Liu, Yi Xu, Yongxin Tong |
| 2025 | Practical Guidance and Tutorial on Incentivizing Reasoning in LLMs using Distillation and Reinforcement Learning. | Zhaopeng Qiu, Jingqi Zhang, Shuang Yu, Shuai Zhang, Junjie Lai |
| 2025 | DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. | Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang |
| 2025 | Finding Counterfactual Evidences for Node Classification. | Dazhuo Qiu, Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi |
| 2025 | Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks. | QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu |
| 2025 | Quantum Time-index Models with Reservoir for Time Series Forecasting. | Wenbo Qiao, Jiaming Zhao, Peng Zhang |
| 2025 | AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. | Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang |
| 2025 | Adapting to Generalized Online Label Shift by Invariant Representation Learning. | Yu-Yang Qian, Yi-Han Wang, Zhen-Yu Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. | Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou |
| 2025 | Judge Anything: MLLM as a Judge Across Any Modality. | Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu |
| 2025 | The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2025 | Understanding the Effect of Loss Functions on the Generalization of Recommendations. | Yuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen |
| 2025 | On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. | Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma |
| 2025 | KDD Health Day 2025: Harnessing AI Opportunities in Biomedicine and Healthcare. | Peipei Ping, Wei Ding, Carl Yang |
| 2025 | Capillary Dataset: A Dataset of Nail-fold Capillaries Captured by Microscopy for Diabetes Detection. | Hang Nguyen Thi Phuong, Hieyong Jeong |
| 2025 | Alpine: Partial Unlabeled Graph Alignment. | Petros Petsinis, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras |
| 2025 | NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity. | Adrien Petralia, Philippe Charpentier, Youssef Kadhi, Themis Palpanas |
| 2025 | Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings. | Yifei Peng, Zijie Zha, Yu Jin, Zhexu Luo, Wang-Zhou Dai, Zhong Ren, Yao-Xiang Ding, Kun Zhou |
| 2025 | Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting. | Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen |
| 2025 | Distributional Prototype Learning for Out-of-distribution Detection. | Bo Peng, Jie Lu, Yonggang Zhang, Guangquan Zhang, Zhen Fang |
| 2025 | CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. | Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu |
| 2025 | Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners. | Miao Peng, Nuo Chen, Zongrui Suo, Jia Li |
| 2025 | Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability. | Eliana Pastor, Eleonora Poeta, Andr Panisson, Alan Perotti, Gabriele Ciravegna |
| 2025 | PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization. | Yong-chan Park, Kisoo Kim, U Kang |
| 2025 | Advances in Time-Series Anomaly Detection: Algorithms, Benchmarks, and Evaluation Measures. | John Paparrizos, Paul Boniol, Qinghua Liu, Themis Palpanas |