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Shuhang Chen
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2020 – today
- 2024
- [i9]Shuze Liu, Shuhang Chen, Shangtong Zhang:
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise. CoRR abs/2401.07844 (2024) - 2023
- [c23]Shuhang Chen, Yiwen Wang:
A Bayesian Decoder Representing Single-Directional Connectivity between Neurons in Brain-Machine Interface. EMBC 2023: 1-4 - [c22]Mingdong Li, Shuhang Chen, Zhijia Zhao, Yiwen Wang:
Tracking the Dynamic Neural Connectivity via Conjugate Gradient Optimization. EMBC 2023: 1-4 - [c21]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: 16175-16185 - [c20]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS 2023: 3621-3627 - [c19]Xianliang Huang
, Jiajie Gou
IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field. ACM Multimedia 2023: 1343-1351 - [c18]Shuhang Chen
A new Energy-Saving Sector Clustering Data Aggregation Method in Wireless Sensor Networks: Energy saving sector clustering data aggregation method. SPCNC 2023: 93-97 - [i8]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 abs/2307.07909 (2023) - [i7]Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor:
GRID: A Platform for General Robot Intelligence Development. CoRR abs/2310.00887 (2023) - 2022
- [j7]Yanhong He
Waste Collection and Transportation Supervision Based on Improved YOLOv3 Model. IEEE Access 10: 81836-81845 (2022) - [c17]Mingdong Li
Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter. EMBC 2022: 768-771 - [i6]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR abs/2209.11133 (2022) - 2021
- [j6]Kongling Liu, Mengjun Wang, Jianchang Li
Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics. Complex. 2021: 9322112:1-9322112:8 (2021) - [j5]Xi Liu
A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding. Entropy 23(6): 743 (2021) - [j4]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): 1681-1702 (2021) - [j3]Xi Liu, Xiang Shen, Shuhang Chen, Xiang Zhang, Yifan Huang
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding. Neural Comput. 33(5): 1372-1401 (2021) - [c16]Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn:
Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. ACC 2021: 1965-1972 - [c15]Shuhang Chen, Xi Liu, Yiwen Wang:
Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface*. EMBC 2021: 6341-6344 - [i5]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 abs/2110.14427 (2021) - 2020
- [j2]Yingmiao Qian, Shuhang Chen, Jianchang Li
A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport. Complex. 2020: 6626937:1-6626937:16 (2020) - [c14]Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. AISTATS 2020: 4173-4183 - [c13]Shuhang Chen, Adithya M. Devraj, Ana Busic
Zap Q-Learning for Optimal Stopping. ACC 2020: 3920-3925 - [c12]Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang
Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface. EMBC 2020: 3078-3081 - [c11]Xiang Shen, Xiang Zhang, Yifan Huang
Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces. EMBC 2020: 3351-3354 - [c10]Shuhang Chen, Adithya M. Devraj, Fan Lu, Ana Busic, Sean P. Meyn:
Zap Q-Learning With Nonlinear Function Approximation. NeurIPS 2020 - [c9]Yifan Huang
Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats. SMC 2020: 1015-1020 - [c8]Shenghui Wu
Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning. SMC 2020: 1269-1274 - [i4]Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. CoRR abs/2002.02584 (2020) - [i3]Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn:
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. CoRR abs/2009.14431 (2020)
2010 – 2019
- 2019
- [c7]Yifan Huang
Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats. EMBC 2019: 7169-7172 - [c6]Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang:
Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces. NER 2019: 243-246 - [c5]Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang
Decoding Transition between Kinematics Stages for Brain-Machine Interface. SMC 2019: 3592-3597 - [i2]Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Zap~Q-Learning for Optimal Stopping Time Problems. CoRR abs/1904.11538 (2019) - [i1]Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Zap Q-Learning With Nonlinear Function Approximation. CoRR abs/1910.05405 (2019) - 2018
- [c4]Zitong Zhang, Shuhang Chen, Zaiyue Yang, Yiwen Wang:
Tracking the Time Varying Neural Tuning via Adam on Point Process Observations. EMBC 2018: 195-198 - 2017
- [c3]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 - [c2]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: 616-619 - 2015
- [j1]Shuhang Chen
Simultaneous Reconstruction and Segmentation of Dynamic PET via Low-Rank and Sparse Matrix Decomposition. IEEE Trans. Biomed. Eng. 62(7): 1784-1795 (2015) - 2014
- [c1]Shuhang Chen, Zhi Chen, Zhenghui Hu, Yunmei Chen, Huafeng Liu:
Simultaneous reconstruction and segmentation for dynamic PET: A low rank framework. ISBI 2014: 967-970
Coauthor Index
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last updated on 2024-08-22 19:46 CEST by the dblp team
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