Shuhang Chen - RankMe

52 papers A* 5A 2B 3C 2Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A generative spike prediction model using behavioral reinforcement for re-establishing neural functional connectivity. Nat. Comput. Sci. Shenghui Wu, Zhiwei Song, Xiang Zhang, Yifan Huang, Shuhang Chen, Xiang Shen, Jieyuan Tan, Mingdong Li, Ziyi Wang, Yujun Chen, Kai Liu, Dario Farina, José C. Príncipe, Yiwen Wang
2026	A*	`conf`	Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation. AAAI Wencai Ye, Mingjie Sun, Shuhang Chen, Wenjin Wu, Peng Jiang
2026	J	`jnl`	CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving. CoRR Shuhang Chen, Yunqiu Xu, Junjie Xie, Aojun Lu, Tao Feng, Zeying Huang, Ning Zhang, Yi Sun, Yi Yang, Hangjie Yuan
2026	J	`jnl`	IDDR-NGP: Incorporating Detectors for Distractor Removal with Instant Neural Radiance Field. CoRR Xianliang Huang, Jiajie Gou, Shuhang Chen, Zhizhou Zhong, Jihong Guan, Shuigeng Zhou
2026	J	`jnl`	NeRF-MIR: Towards High-Quality Restoration of Masked Images with Neural Radiance Fields. CoRR Xianliang Huang, Zhizhou Zhong, Shuhang Chen, Yi Xu, Juhong Guan, Shuigeng Zhou
2026	J	`jnl`	SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction. CoRR Linyong Gan, Zimo Li, Wenxin Xu, Xingjian Li, Jianhua Z. Huang, Enmei Tu, Shuhang Chen
2025	A*	`conf`	A Focused Human Body Model for Accurate Anthropometric Measurements Extraction. CVPR Shuhang Chen, Xianliang Huang, Zhizhou Zhong, Juhong Guan, Shuigeng Zhou
2025	J	`jnl`	Align CoRR Wencai Ye, Mingjie Sun, Shuhang Chen, Wenjin Wu, Peng Jiang
2025	J	`jnl`	Kernel-Based Actor-Critic Learning Framework for Autonomous Brain Control on Trajectory. IEEE Trans. Cogn. Dev. Syst. Zhiwei Song, Xiang Zhang, Shuhang Chen, Jieyuan Tan, Yiwen Wang
2025	J	`jnl`	SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images. CoRR Shuhang Chen, Hangjie Yuan, Pengwei Liu, Hanxue Gu, Tao Feng, Dong Ni
2025	J	`jnl`	The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise. J. Mach. Learn. Res. Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang
2024	—	`conf`	Hi-NeRF: Hybridizing 2D Inpainting with Neural Radiance Fields for 3D Scene Inpainting. ACCV (10) Xianliang Huang, Shuhang Chen, Zhizhou Zhong, Jiajie Gou, Jihong Guan, Shuigeng Zhou
2024	J	`jnl`	The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise. CoRR Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang
2024	—	`conf`	Tracking Dynamic Conditional Neural Correlation during Task Learning. EMBC Zixu Wang, Shuhang Chen, Mingdong Li, Yiwen Wang
2023	—	`conf`	A Bayesian Decoder Representing Single-Directional Connectivity between Neurons in Brain-Machine Interface. EMBC Shuhang Chen, Yiwen Wang
2023	—	`conf`	A new Energy-Saving Sector Clustering Data Aggregation Method in Wireless Sensor Networks: Energy saving sector clustering data aggregation method. SPCNC Shuhang Chen, Feng Xu, Kaiming Su
2023	J	`jnl`	GRID: A Platform for General Robot Intelligence Development. CoRR Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor
2023	A*	`conf`	IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field. ACM Multimedia Xianliang Huang, Jiajie Gou, Shuhang Chen, Zhizhou Zhong, Jihong Guan, Shuigeng Zhou
2023	A*	`conf`	Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
2023	J	`jnl`	Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
2023	A	`conf`	PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
2023	—	`conf`	Tracking the Dynamic Neural Connectivity via Conjugate Gradient Optimization. EMBC Mingdong Li, Shuhang Chen, Zhijia Zhao, Yiwen Wang
2022	—	`conf`	Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter. EMBC Mingdong Li, Shuhang Chen, Xi Liu, Zhiwei Song, Yiwen Wang
2022	J	`jnl`	PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
2022	J	`jnl`	Waste Collection and Transportation Supervision Based on Improved YOLOv3 Model. IEEE Access Yanhong He, Junfeng Li, Shuhang Chen, Yining Xu, Jia Liang
2021	J	`jnl`	A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding. Entropy Xi Liu, Shuhang Chen, Xiang Shen, Xiang Zhang, Yiwen Wang
2021	C	`conf`	Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. ACC Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
2021	—	`conf`	Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface EMBC Shuhang Chen, Xi Liu, Yiwen Wang
2021	J	`jnl`	Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics. Complex. Kongling Liu, Mengjun Wang, Jianchang Li, Jingjing Huang, Xuhui Huang, Shuhang Chen, Baoquan Cheng
2021	J	`jnl`	Hierarchical Dynamical Model for Multiple Cortical Neural Decoding. Neural Comput. Xi Liu, Xiang Shen, Shuhang Chen, Xiang Zhang, Yifan Huang, Yueming Wang, Yiwen Wang
2021	J	`jnl`	Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation. J. Syst. Sci. Complex. Shuhang Chen, Adithya M. Devraj, Andrey Berstein, Sean P. Meyn
2021	J	`jnl`	The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning. CoRR Vivek S. Borkar, Shuhang Chen, Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
2020	J	`jnl`	A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport. Complex. Yingmiao Qian, Shuhang Chen, Jianchang Li, Qinxin Ren, Jinfu Zhu, Ruijia Yuan, Hao Su
2020	J	`jnl`	Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. CoRR Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
2020	B	`conf`	Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats. SMC Yifan Huang, Xiang Shen, Xiang Zhang, Shuhang Chen, Yiwen Wang
2020	—	`conf`	Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface. EMBC Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang
2020	A	`conf`	Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. AISTATS Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2020	J	`jnl`	Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. CoRR Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2020	B	`conf`	Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning. SMC Shenghui Wu, Cunle Qian, Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang
2020	—	`conf`	Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces. EMBC Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang
2020	A*	`conf`	Zap Q-Learning With Nonlinear Function Approximation. NeurIPS Shuhang Chen, Adithya M. Devraj, Fan Lu, Ana Busic, Sean P. Meyn
2020	C	`conf`	Zap Q-Learning for Optimal Stopping. ACC Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2019	B	`conf`	Decoding Transition between Kinematics Stages for Brain-Machine Interface. SMC Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang
2019	—	`conf`	Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces. NER Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang
2019	—	`conf`	Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats. EMBC Yifan Huang, Xiang Shen, Yiwen Wang, Shuhang Chen, Xiang Zhang
2019	J	`jnl`	Zap Q-Learning With Nonlinear Function Approximation. CoRR Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2019	J	`jnl`	Zap~Q-Learning for Optimal Stopping Time Problems. CoRR Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2018	—	`conf`	Tracking the Time Varying Neural Tuning via Adam on Point Process Observations. EMBC Zitong Zhang, Shuhang Chen, Zaiyue Yang, Yiwen Wang
2017	—	`conf`	Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. CinC Prashnna K. Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
2017	—	`conf`	Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. ISBI Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
2015	J	`jnl`	Simultaneous Reconstruction and Segmentation of Dynamic PET via Low-Rank and Sparse Matrix Decomposition. IEEE Trans. Biomed. Eng. Shuhang Chen, Huafeng Liu, Zhenghui Hu, Heye Zhang, Pengcheng Shi, Yunmei Chen
2014	—	`conf`	Simultaneous reconstruction and segmentation for dynamic PET: A low rank framework. ISBI Shuhang Chen, Zhi Chen, Zhenghui Hu, Yunmei Chen, Huafeng Liu