Simultaneous reconstruction and segmentation for dynamic PET: A low rank framework. - Shuhang Chen; Zhi Chen; Zhenghui Hu; Yunmei Chen; Huafeng Liu 003 (ISBI, 2014)

Simultaneous Reconstruction and Segmentation of Dynamic PET via Low-Rank and Sparse Matrix Decomposition. - Shuhang Chen; Huafeng Liu 003; Zhenghui Hu; Heye Zhang; Pengcheng Shi; Yunmei Chen (IEEE Trans. Biomed. Eng., 2015)

Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. - Prashnna K. Gyawali; Shuhang Chen; Huafeng Liu 003; B. Milan Horácek; John L. Sapp; Linwei Wang (CinC, 2017)

Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. - Shuhang Chen; Prashnna K. Gyawali; Huafeng Liu 003; B. Milan Horácek; John L. Sapp; Linwei Wang (ISBI, 2017)

Tracking the Time Varying Neural Tuning via Adam on Point Process Observations. - Zitong Zhang; Shuhang Chen; Zaiyue Yang; Yiwen Wang 002 (EMBC, 2018)

Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats. - Yifan Huang 001; Xiang Shen; Yiwen Wang 002; Shuhang Chen; Xiang Zhang 025 (EMBC, 2019)

Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces. - Xiang Shen; Xiang Zhang 025; Yifan Huang 001; Shuhang Chen; Yiwen Wang 002 (NER, 2019)

Decoding Transition between Kinematics Stages for Brain-Machine Interface. - Shuhang Chen; Xiang Zhang 025; Xiang Shen; Yifan Huang 001; Yiwen Wang 002 (SMC, 2019)

Zap Q-Learning for Optimal Stopping Time Problems. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2019)

Zap Q-Learning With Nonlinear Function Approximation. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2019)

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (AISTATS, 2020)

Zap Q-Learning for Optimal Stopping. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (ACC, 2020)

Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface. - Shuhang Chen; Xiang Zhang 025; Xiang Shen; Yifan Huang 001; Yiwen Wang 002 (EMBC, 2020)

Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces. - Xiang Shen; Xiang Zhang 025; Yifan Huang 001; Shuhang Chen; Yiwen Wang 002 (EMBC, 2020)

Zap Q-Learning With Nonlinear Function Approximation. - Shuhang Chen; Adithya M. Devraj; Fan Lu; Ana Busic; Sean P. Meyn (NeurIPS, 2020)

Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats. - Yifan Huang 001; Xiang Shen; Xiang Zhang 025; Shuhang Chen; Yiwen Wang 002 (SMC, 2020)

Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning. - Shenghui Wu; Cunle Qian; Xiang Shen; Xiang Zhang 025; Yifan Huang 001; Shuhang Chen; Yiwen Wang 002 (SMC, 2020)

A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport. - Yingmiao Qian; Shuhang Chen; Jianchang Li; Qinxin Ren; Jinfu Zhu; Ruijia Yuan; Hao Su (Complex., 2020)

Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. - Shuhang Chen; Adithya M. Devraj; Andrey Bernstein; Sean P. Meyn (ACC, 2021)

Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface*. - Shuhang Chen; Xi Liu 006; Yiwen Wang 002 (EMBC, 2021)

Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics. - Kongling Liu; Mengjun Wang; Jianchang Li; Jingjing Huang; Xuhui Huang; Shuhang Chen; Baoquan Cheng (Complex., 2021)

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning. - Vivek S. Borkar; Shuhang Chen; Adithya M. Devraj; Ioannis Kontoyiannis; Sean P. Meyn (CoRR, 2021)

A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding. - Xi Liu 006; Shuhang Chen; Xiang Shen; Xiang Zhang 025; Yiwen Wang 002 (Entropy, 2021)

Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation. - Shuhang Chen; Adithya M. Devraj; Andrey Berstein; Sean P. Meyn (J. Syst. Sci. Complex., 2021)

Hierarchical Dynamical Model for Multiple Cortical Neural Decoding. - Xi Liu 006; Xiang Shen; Shuhang Chen; Xiang Zhang 025; Yifan Huang 001; Yueming Wang 001; Yiwen Wang 002 (Neural Comput., 2021)

Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter. - Mingdong Li; Shuhang Chen; Xi Liu 006; Zhiwei Song; Yiwen Wang 002 (EMBC, 2022)

Waste Collection and Transportation Supervision Based on Improved YOLOv3 Model. - Yanhong He; Junfeng Li; Shuhang Chen; Yining Xu; Jia Liang (IEEE Access, 2022)

A Bayesian Decoder Representing Single-Directional Connectivity between Neurons in Brain-Machine Interface. - Shuhang Chen; Yiwen Wang (EMBC, 2023)

Tracking the Dynamic Neural Connectivity via Conjugate Gradient Optimization. - Mingdong Li; Shuhang Chen; Zhijia Zhao 002; Yiwen Wang 002 (EMBC, 2023)

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. - Yao Wei 002; Yanchao Sun; Ruijie Zheng; Sai Vemprala; Rogerio Bonatti; Shuhang Chen; Ratnesh Madaan; Zhongjie Ba; Ashish Kapoor; Shuang Ma (ICCV, 2023)

PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. - Rogerio Bonatti; Sai Vemprala; Shuang Ma; Felipe Frujeri; Shuhang Chen; Ashish Kapoor (IROS, 2023)

IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field. - Xianliang Huang; Jiajie Gou; Shuhang Chen; Zhizhou Zhong; Jihong Guan; Shuigeng Zhou (ACM Multimedia, 2023)

A new Energy-Saving Sector Clustering Data Aggregation Method in Wireless Sensor Networks: Energy saving sector clustering data aggregation method. - Shuhang Chen; Feng Xu; Kaiming Su (SPCNC, 2023)

GRID: A Platform for General Robot Intelligence Development. - Sai Vemprala; Shuhang Chen; Abhinav Shukla; Dinesh Narayanan; Ashish Kapoor (CoRR, 2023)

Hi-NeRF: Hybridizing 2D Inpainting with Neural Radiance Fields for 3D Scene Inpainting. - Xianliang Huang; Shuhang Chen; Zhizhou Zhong; Jiajie Gou; Jihong Guan; Shuigeng Zhou (ACCV (10), 2024)

Tracking Dynamic Conditional Neural Correlation during Task Learning. - Zixu Wang; Shuhang Chen; Mingdong Li; Yiwen Wang (EMBC, 2024)

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise. - Shuze Daniel Liu; Shuhang Chen; Shangtong Zhang (CoRR, 2024)

A Focused Human Body Model for Accurate Anthropometric Measurements Extraction. - Shuhang Chen; Xianliang Huang; Zhizhou Zhong; Juhong Guan; Shuigeng Zhou (CVPR, 2025)

Kernel-Based Actor-Critic Learning Framework for Autonomous Brain Control on Trajectory. - Zhiwei Song; Xiang Zhang 025; Shuhang Chen; Jieyuan Tan; Yiwen Wang 002 (IEEE Trans. Cogn. Dev. Syst., 2025)