Chengyang Ying

36 papers A* 12Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A CoRR Fengji Zhang, Xinyao Niu, Chengyang Ying, Guancheng Lin, Zhongkai Hao, Zhou Fan, Chengen Huang, Jacky Keung, Bei Chen, Junyang Lin
2025	J	`jnl`	Exploratory Diffusion Policy for Unsupervised Reinforcement Learning. CoRR Chengyang Ying, Huayu Chen, Xinning Zhou, Zhongkai Hao, Hang Su, Jun Zhu
2025	J	`jnl`	Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments. CoRR Xiao Yang, Lingxuan Wu, Lizhong Wang, Chengyang Ying, Hang Su, Jun Zhu
2025	J	`jnl`	Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments. IEEE Trans. Pattern Anal. Mach. Intell. Xiao Yang, Lingxuan Wu, Lizhong Wang, Chengyang Ying, Hang Su, Jun Zhu
2025	A*	`conf`	Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. IJCAI Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
2025	J	`jnl`	Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. CoRR Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
2024	A*	`conf`	DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. ICML Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
2024	J	`jnl`	DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. CoRR Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
2024	A*	`conf`	Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. ICML Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
2024	J	`jnl`	Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. CoRR Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
2024	J	`jnl`	ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation. CoRR Hengkai Tan, Xuezhou Xu, Chengyang Ying, Xinyi Mao, Songming Liu, Xingxing Zhang, Hang Su, Jun Zhu
2024	A*	`conf`	PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. NeurIPS Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
2024	J	`jnl`	PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. CoRR Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
2024	J	`jnl`	The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu
2024	J	`jnl`	Understanding adversarial attacks on observations in deep reinforcement learning. Sci. China Inf. Sci. You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
2023	A*	`conf`	Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. ICLR Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
2023	J	`jnl`	Consistent attack: Universal adversarial perturbation on embodied vision navigation. Pattern Recognit. Lett. Chengyang Ying, You Qiaoben, Xinning Zhou, Hang Su, Wenbo Ding, Jianyong Ai
2023	A*	`conf`	GNOT: A General Neural Operator Transformer for Operator Learning. ICML Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu
2023	J	`jnl`	GNOT: A General Neural Operator Transformer for Operator Learning. CoRR Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song
2023	A*	`conf`	NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. ICML Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
2023	J	`jnl`	NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. CoRR Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
2023	A*	`conf`	Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
2023	A*	`conf`	On the Reuse Bias in Off-Policy Reinforcement Learning. IJCAI Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
2023	J	`jnl`	Reward Informed Dreamer for Task Generalization in Reinforcement Learning. CoRR Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu
2022	A*	`conf`	A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. NeurIPS Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
2022	J	`jnl`	A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. CoRR Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
2022	J	`jnl`	Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. CoRR Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
2022	J	`jnl`	Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation. CoRR You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
2022	A*	`conf`	GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. ICML Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu
2022	J	`jnl`	GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. CoRR Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song
2022	J	`jnl`	Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. CoRR Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
2022	J	`jnl`	On the Reuse Bias in Off-Policy Reinforcement Learning. CoRR Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
2022	J	`jnl`	Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. CoRR Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
2022	A*	`conf`	Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. IJCAI Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
2022	J	`jnl`	Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. CoRR Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
2021	J	`jnl`	Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning. CoRR You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang