Tao, Jing

8 publications

AAAI 2025 Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui

NeurIPS 2025 Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs Jie Ma, Ning Qu, Zhitao Gao, Xing Rui, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, Su Zhou

ICML 2025 Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan

AAAI 2024 HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan

ICML 2024 Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan

AAAI 2023 Multi-Action Dialog Policy Learning from Logged User Feedback Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng

NeurIPS 2020 Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan

IJCAI 2019 MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao