Chengyang Ying

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 26

Top Topics

Temporal Difference

Constrained Optimization

Direct Policy Search

Reinforcement Learning

Top Venues

Publications

Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. CoRR (2024)
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
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR (2024)
Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. CoRR (2024)
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
Understanding adversarial attacks on observations in deep reinforcement learning. Sci. China Inf. Sci. 67 (5) (2024)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. CoRR (2024)
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. CoRR (2023)
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. ICML (2023)
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR (2023)
Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. ICLR (2023)
Chengyang Ying, You Qiaoben, Xinning Zhou, Hang Su, Wenbo Ding, Jianyong Ai
Consistent attack: Universal adversarial perturbation on embodied vision navigation. Pattern Recognit. Lett. 168 (2023)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu
Reward Informed Dreamer for Task Generalization in Reinforcement Learning. CoRR (2023)
Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song
GNOT: A General Neural Operator Transformer for Operator Learning. CoRR (2023)
Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu
GNOT: A General Neural Operator Transformer for Operator Learning. ICML (2023)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
On the Reuse Bias in Off-Policy Reinforcement Learning. IJCAI (2023)
Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. CoRR (2022)
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. CoRR (2022)
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation. CoRR (2022)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
On the Reuse Bias in Off-Policy Reinforcement Learning. CoRR (2022)
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. ICML (2022)
Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. IJCAI (2022)
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. CoRR (2022)
Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. CoRR (2022)
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. CoRR (2022)
Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. CoRR (2022)
Songming Liu, Hao Zhongkai, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. NeurIPS (2022)
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning. CoRR (2021)