Shuhang Chen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Topics

Information Filter

Stochastic Approximation

Reinforcement Learning

Top Venues

Publications

Shuze Liu, Shuhang Chen, Shangtong Zhang
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise. CoRR (2024)
Shuhang Chen, Yiwen Wang
A Bayesian Decoder Representing Single-Directional Connectivity between Neurons in Brain-Machine Interface. EMBC (2023)
Shuhang Chen, Feng Xu, Kaiming Su
A new Energy-Saving Sector Clustering Data Aggregation Method in Wireless Sensor Networks: Energy saving sector clustering data aggregation method. SPCNC (2023)
Mingdong Li, Shuhang Chen, Zhijia Zhao, Yiwen Wang
Tracking the Dynamic Neural Connectivity via Conjugate Gradient Optimization. EMBC (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR (2023)
Xianliang Huang, Jiajie Gou, Shuhang Chen, Zhizhou Zhong, Jihong Guan, Shuigeng Zhou
IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field. ACM Multimedia (2023)
Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor
GRID: A Platform for General Robot Intelligence Development. CoRR (2023)
Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS (2023)
Mingdong Li, Shuhang Chen, Xi Liu, Zhiwei Song, Yiwen Wang
Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter. EMBC (2022)
Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR (2022)
Yanhong He, Junfeng Li, Shuhang Chen, Yining Xu, Jia Liang
Waste Collection and Transportation Supervision Based on Improved YOLOv3 Model. IEEE Access 10 (2022)
Xi Liu, Xiang Shen, Shuhang Chen, Xiang Zhang, Yifan Huang, Yueming Wang, Yiwen Wang
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding. Neural Comput. 33 (5) (2021)
Shuhang Chen, Adithya M. Devraj, Andrey Berstein, Sean P. Meyn
Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation. J. Syst. Sci. Complex. 34 (5) (2021)
Kongling Liu, Mengjun Wang, Jianchang Li, Jingjing Huang, Xuhui Huang, Shuhang Chen, Baoquan Cheng
Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics. Complex. 2021 (2021)
Shuhang Chen, Xi Liu, Yiwen Wang
. EMBC (2021)
Xi Liu, Shuhang Chen, Xiang Shen, Xiang Zhang, Yiwen Wang
A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding. Entropy 23 (6) (2021)
Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. ACC (2021)
Vivek S. Borkar, Shuhang Chen, Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning. CoRR (2021)
Yingmiao Qian, Shuhang Chen, Jianchang Li, Qinxin Ren, Jinfu Zhu, Ruijia Yuan, Hao Su
A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport. Complex. 2020 (2020)
Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. CoRR (2020)
Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang
Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces. EMBC (2020)
Yifan Huang, Xiang Shen, Xiang Zhang, Shuhang Chen, Yiwen Wang
Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats. SMC (2020)
Shuhang Chen, Adithya M. Devraj, Fan Lu, Ana Busic, Sean P. Meyn
Zap Q-Learning With Nonlinear Function Approximation. NeurIPS (2020)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. AISTATS (2020)
Shenghui Wu, Cunle Qian, Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang
Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning. SMC (2020)
Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang
Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface. EMBC (2020)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Zap Q-Learning for Optimal Stopping. ACC (2020)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. CoRR (2020)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Zap~Q-Learning for Optimal Stopping Time Problems. CoRR (2019)
Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang
Decoding Transition between Kinematics Stages for Brain-Machine Interface. SMC (2019)
Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
Zap Q-Learning With Nonlinear Function Approximation. CoRR (2019)
Yifan Huang, Xiang Shen, Yiwen Wang, Shuhang Chen, Xiang Zhang
Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats. EMBC (2019)
Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang
Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces. NER (2019)
Zitong Zhang, Shuhang Chen, Zaiyue Yang, Yiwen Wang
Tracking the Time Varying Neural Tuning via Adam on Point Process Observations. EMBC (2018)
Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. ISBI (2017)
Prashnna K. Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. CinC (2017)
Shuhang Chen, Huafeng Liu, Zhenghui Hu, Heye Zhang, Pengcheng Shi, Yunmei Chen
Simultaneous Reconstruction and Segmentation of Dynamic PET via Low-Rank and Sparse Matrix Decomposition. IEEE Trans. Biomed. Eng. 62 (7) (2015)
Shuhang Chen, Zhi Chen, Zhenghui Hu, Yunmei Chen, Huafeng Liu
Simultaneous reconstruction and segmentation for dynamic PET: A low rank framework. ISBI (2014)