Xu, Zhe

31 publications

IJCAI 2025 A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective Nasim Baharisangari, Yucheng Ruan, Chengcheng Zhao, Zhe Xu

ICLR 2025 Ask, and It Shall Be Given: On the Turing Completeness of Prompting Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong

AAAI 2025 Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning Kun Wei, Zhe Xu, Cheng Deng

ICCV 2025 Conditional Visual Autoregressive Modeling for Pathological Image Restoration Ziyi Liu, Zhe Xu, Jiabo Ma, Wenqiang Li, Ruixuan Wang, Bo Du, Hao Chen

ECML-PKDD 2025 Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information Jan Corazza, Hadi Partovi Aria, Hyohun Kim, Daniel Neider, Zhe Xu

ICLRW 2025 DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels Zhe Xu, Jiasheng Ye, Xiaoran Liu, Xiangyang Liu, Tianxiang Sun, Zhigeng Liu, Qipeng Guo, Linlin Li, Qun Liu, Xuanjing Huang, Xipeng Qiu

NeurIPS 2025 MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen

ICML 2025 SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li

ICCV 2025 VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks Shiduo Zhang, Zhe Xu, Peiju Liu, Xiaopeng Yu, Yuan Li, Qinghui Gao, Zhaoye Fei, Zhangyue Yin, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu

ICCV 2025 VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models Jiacheng Ruan, Wenzhen Yuan, Xian Gao, Ye Guo, Daoxin Zhang, Zhe Xu, Yao Hu, Ting Liu, Yuzhuo Fu

ICML 2024 Class-Imbalanced Graph Learning Without Class Rebalancing Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

NeurIPS 2024 Discrete-State Continuous-Time Diffusion for Graph Generation Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong

L4DC 2024 Distributed On-the-Fly Control of Multi-Agent Systems with Unknown Dynamics: Using Limited Data to Obtain Near-Optimal Control Shayan Meshkat Alsadat, Nasim Baharisangari, Zhe Xu

CVPR 2024 Diversified and Personalized Multi-Rater Medical Image Segmentation Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai

CLeaR 2024 Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment Jan Corazza, Hadi Partovi Aria, Daniel Neider, Zhe Xu

ICML 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

L4DC 2024 Pontryagin Neural Operator for Solving General-Sum Differential Games with Parametric State Constraints Lei Zhang, Mukesh Ghimire, Zhe Xu, Wenlong Zhang, Yi Ren

ICML 2024 SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

ICML 2024 State-Constrained Zero-Sum Differential Games with One-Sided Information Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren

NeurIPSW 2023 Expediting Reinforcement Learning by Incorporating Temporal Causal Information Jan Corazza, Hadi Partovi Aria, Daniel Neider, Zhe Xu

AAAI 2023 Learning Interpretable Temporal Properties from Positive Examples Only Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu

AAAI 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-Based Learners Zhe Xu, Yuxin Chen, Ufuk Topcu

AAAI 2021 Advice-Guided Reinforcement Learning in a Non-Markovian Environment Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu

AAAI 2021 Generalized Zero-Shot Learning via Disentangled Representation Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng

ICCV 2021 Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning Kai Huang, Jie Geng, Wen Jiang, Xinyang Deng, Zhe Xu

ICLR 2020 Dynamic Sparse Training: Find Efficient Sparse Network from Scratch with Trainable Masked Layers Junjie Liu, Zhe Xu, Runbin Shi, Ray C. C. Cheung, Hayden K. H. So

IJCAI 2019 Relation Extraction Using Supervision from Topic Knowledge of Relation Labels Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang

IJCAI 2019 Transfer of Temporal Logic Formulas in Reinforcement Learning Zhe Xu, Ufuk Topcu

CVPR 2016 Part-Stacked CNN for Fine-Grained Visual Categorization Shaoli Huang, Zhe Xu, Dacheng Tao, Ya Zhang

ICCV 2015 Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization Zhe Xu, Shaoli Huang, Ya Zhang, Dacheng Tao

ECCV 2014 Architectural Style Classification Using Multinomial Latent Logistic Regression Zhe Xu, Dacheng Tao, Ya Zhang, Junjie Wu, Ah Chung Tsoi