| 2026 | Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding. | LinYu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Xuan Zhang, Zhengwei Tao, Tashi Nyima |
| 2026 | Fine-Grained Visual Understanding for Multimodal and Trustworthy AI. | Syuan-Hao Li, Yi-Jui Huang, Lei Wang, Yongsheng Gao |
| 2026 | LLM Use for Mental Health: Crowdsourcing Users' Sentiment-based Perspectives and Values from Social Discussions. | Lingyao Li, Xiaoshan Huang, Renkai Ma, Ben Zefeng Zhang, Haolun Wu, Fan Yang, Chen Chen |
| 2026 | R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation. | Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren, Xin Xin |
| 2026 | Towards Fair Large Language Model-based Recommender Systems without Costly Retraining. | Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen |
| 2026 | Data Degrades with Use. | Katrina Ligett |
| 2026 | HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation. | Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao, Bo-Kai Ruan, Meng-Fen Chiang, Chien-An Chen, Yi-Ren Yeh, Hong-Han Shuai |
| 2026 | Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting. | Xinyu Li, Kexi Chen, Ying Zheng, Zhiyi Yao, Yi Xie, Jihan Dai, Lei Bai, Jin Zhao, Jiajie Shen, Yunqi Cai, Hong Lu, Xin Wang |
| 2026 | Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches. | Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Chen Lin |
| 2026 | Reinforcement Learning with Verbalized Probabilities for LLM Classification. | Liyao Li, Hao Chen, Jiaming Tian, Wentao Ye, Lirong Gao, Chao Ye, Ningtao Wang, Xing Fu, Yu Cheng, Haobo Wang, Gang Chen, Junbo Zhao |
| 2026 | How Human Experts Educate Specialized LLMs: Filling Knowledge Gaps in KG-Augmented Generation through Hallucination Detection. | Chaofan Li, Lixing Chen, Junhua Tang, Yang Bai, Yutong Zhang, Zhi Zheng, Pan Zhou, Zhe Qu |
| 2026 | ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. | Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua |
| 2026 | Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance. | Haosen Li, Wenshuo Chen, Shaofeng Liang, Lei Wang, Haozhe Jia, Yutao Yue |
| 2026 | ONeRec: Towards Openness-Aware and Adaptive Proactive News Recommendation. | Jie Li, Zhen Cui, Linmei Hu |
| 2026 | Quantum-enhanced Representation Learning and Matching Learning for Recommendation. | Anchen Li, Elena Casiraghi |
| 2026 | Bridging Explicit and Implicit Intent: Unified Interest Generative Method for Joint Search-Recommendation Modeling. | Dongliang Liao, Chenxing Wang, Yawen Zeng |
| 2026 | Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding. | Zenghua Liao, Jinzhi Liao, Xiang Zhao |
| 2026 | Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning. | Tianyin Liao, Ge Lan, Rui Chen, Ran Zhang, Zhiming Chen, Xiao Wang, Ziwei Zhang |
| 2026 | C-HyPOD: Causal Hyperbolic Representation Learning with Prototype Orthogonal Disentanglement for Graph Out-of-Distribution Recommendation. | Jiahao Liang, Yutian Xiao, Haoran Yang, Zhiwen Yu, Jia-Nan Liu, Kaixiang Yang |
| 2026 | JitterSketch: Finding Jittery Flows in Network Streams. | Zhongxian Liang, Qilong Shi, Xiyan Liang, Zihan Li, Wenjun Li, Tong Yang, Yangyang Wang, Mingwei Xu, Weizhe Zhang |
| 2026 | HierCon: Hierarchical Contrastive Attention for Audio Deepfake Detection. | Zhili Nicholas Liang, Soyeon Caren Han, Qizhou Wang, Christopher Leckie |
| 2026 | AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search. | Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng |
| 2026 | DTransKT: A Dual Transferable Knowledge Tracing Framework for Cross-Disciplinary Self-Adaptation. | Kun Liang, Jiake Ge, Xin Wang, Yiying Zhang |
| 2026 | Pedestrian-Centric Discriminative and Fine-grained Semantic Mining for Text-based Person Retrieval. | Yuheng Liang, Haipeng Chen, Yu Liu, Yingda Lyu, Xue Wang |
| 2026 | LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts. | Hao Liang, Qifeng Cai, Zhaoyang Han, Hejun Dong, Meiyi Qiang, Ruichuan An, Quanqing Xu, Bin Cui, Wentao Zhang |