Zhang, Wang

10 publications

NeurIPS 2025 DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, YuYue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

AAAI 2025 Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising Huaqiu Li, Wang Zhang, Xiaowan Hu, Tao Jiang, Zikang Chen, Haoqian Wang

AAAI 2025 Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising Zikang Chen, Tao Jiang, Xiaowan Hu, Wang Zhang, Huaqiu Li, Haoqian Wang

AAAI 2024 Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu

NeurIPSW 2024 Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks Anthony Baez, Wang Zhang, Ziwen Ma, Subhro Das, Lam M. Nguyen, Luca Daniel

AAAI 2024 One Step Closer to Unbiased Aleatoric Uncertainty Estimation Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen

ICML 2023 ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen

ICMLW 2022 Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping Wang Zhang, Lam M. Nguyen, Subhro Das, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng

IJCAI 2021 Learning Stochastic Equivalence Based on Discrete Ricci Curvature Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao

NeurIPS 2021 Robust Deep Reinforcement Learning Through Adversarial Loss Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng