| 2025 | Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming. | Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2025 | NL2SQL-BUGs: A Benchmark for Detecting Semantic Errors in NL2SQL Translation. | Xinyu Liu, Shuyu Shen, Boyan Li, Nan Tang, Yuyu Luo |
| 2025 | UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. | Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng |
| 2025 | MethaneS2CM: A Dataset for Multispectral Deep Methane Emission Detection. | Hongxuan Liu, Juliana Y. Leung, Di Niu |
| 2025 | Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning. | Bin Liu, Yu Liu, Zhiqian Li, Jianghong Xiao, Guosheng Yin, Huazhen Lin |
| 2025 | 3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors. | Xufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu |
| 2025 | ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations. | Fukun Liu, Adam T. Greer, Gengchen Mai, Jin Sun |
| 2025 | SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models. | Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu |
| 2025 | Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. | Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei |
| 2025 | A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments. | Yuanhao Liu, Shuo Liu, Yimeng Liu, Chanjin Zheng, Wei Zhang, Hong Qian |
| 2025 | MobileSteward: Integrating Multiple App-Oriented Agents with Self-Evolution to Automate Cross-App Instructions. | Yuxuan Liu, Hongda Sun, Wei Liu, Jian Luan, Bo Du, Rui Yan |
| 2025 | Training Industry-scale GNNs with GiGL. | Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah |
| 2025 | MOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation. | Yiling Liu, Wei Shi, Chen Fu, Ziyang Jiang, Zhigang Hua, David E. Carlson |
| 2025 | Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits. | Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C. S. Lui |
| 2025 | Data Heterogeneity Modeling for Trustworthy Machine Learning. | Jiashuo Liu, Peng Cui |
| 2025 | Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search. | Rui Liu, Rui Xie, Zijun Yao, Yanjie Fu, Dongjie Wang |
| 2025 | Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. | Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu |
| 2025 | Reasoning-Enhanced Object-Centric Learning for Videos. | Jian Li, Pu Ren, Yang Liu, Hao Sun |
| 2025 | A Fraudulent Blind Shipment Detection Framework in Logistics. | Hongyu Lin, Shuxin Zhong, Yan Fang, Zhiqing Hong, Wenjun Lyu, Qipeng Xie, Haotian Wang, Lu Wang, Kaishun Wu |
| 2025 | Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. | Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang |
| 2025 | Spectral Subspace Clustering for Attributed Graphs. | Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke |
| 2025 | Efficient Bitruss Decomposition without Butterfly Enumeration. | Fengnian Lin, Boyu Ruan, Junhao Gan, Lei Li |
| 2025 | Robust Data-Driven Auction Design. | Qilong Lin, Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Jian Xu, Bo Zheng, Fan Wu, Guihai Chen |
| 2025 | KDD Workshop on Evaluation and Trustworthiness of Agentic and Generative AI. | Yuan Ling, Shujing Dong, Zheng Chen, Yarong Feng, Sadid Hasan, George Karypis, Chandan K. Reddy |
| 2025 | Stealing Training Graphs from Graph Neural Networks. | Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang |