Zhang, Junyu

21 publications

ICLR 2025 Anti-Exposure Bias in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

AAAI 2025 DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance Younghyun Kim, Geunmin Hwang, Junyu Zhang, Eunbyung Park

ICLR 2025 DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang

ICML 2025 EmbodiedBench: Comprehensive Benchmarking Multi-Modal Large Language Models for Vision-Driven Embodied Agents Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

NeurIPS 2025 Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration Junyu Zhang, Lizhong Ding, MinghongZhang, Ye Yuan, Xingcan Li, Pengqi Li, Tihang Xi, Guoren Wang, Changsheng Li

ICML 2024 An Improved Finite-Time Analysis of Temporal Difference Learning with Deep Neural Networks Zhifa Ke, Zaiwen Wen, Junyu Zhang

ICLR 2024 Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design Heng Dong, Junyu Zhang, Chongjie Zhang

JMLR 2024 On the Sample Complexity and Metastability of Heavy-Tailed Policy Search in Continuous Control Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel

CVPR 2024 Residual Learning in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

NeurIPS 2023 Contrastive Sampling Chains in Diffusion Models Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu

ICML 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang

ICML 2023 Symmetry-Aware Robot Design with Structured Subgroups Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang

NeurIPS 2022 A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP Fan Chen, Junyu Zhang, Zaiwen Wen

AAAI 2022 Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel

ICLRW 2022 Teamwork Reinforcement Learning with Concave Utilities Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp

AISTATS 2021 Generalization Bounds for Stochastic Saddle Point Problems Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang

JMLR 2021 From Low Probability to High Confidence in Stochastic Convex Optimization Damek Davis, Dmitriy Drusvyatskiy, Lin Xiao, Junyu Zhang

NeurIPS 2021 On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvari, Mengdi Wang

NeurIPS 2020 Variational Policy Gradient Method for Reinforcement Learning with General Utilities Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvari, Mengdi Wang

ICML 2019 A Composite Randomized Incremental Gradient Method Junyu Zhang, Lin Xiao

NeurIPS 2019 A Stochastic Composite Gradient Method with Incremental Variance Reduction Junyu Zhang, Lin Xiao