Tianren Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Redundant Features

Reinforcement Learning

State Abstraction

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Chujie Zhao, Tianren Zhang, Feng Chen
Preserving Silent Features for Domain Generalization. CoRR (2024)
Tianren Zhang, Yuping Huang, Hui Liao, Xianfu Gong, Bo Peng
Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales. IEEE Access 12 (2024)
Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers. ICLR (2024)
Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. CoRR (2024)
Yihan Li, Jinsheng Ren, Tianren Zhang, Ying Fang, Feng Chen
MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning. Knowl. Based Syst. 273 (2023)
Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Xianfu Gong, Yilin Huang, Xiaoke Yun, Tianren Zhang, Yaodong Li, Bo Peng
Provincial Energy Supply and Demand Risk Assessment Based on GRA-AHP-EWM Method. ICBAR (2023)
Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen
Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI (2023)
Tianren Zhang, Yancong Deng
Segmentation Comparison with FCN Based approach and YOLO Based approach. ICVIP (2022)
Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. CoRR (2022)
Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. Appl. Intell. 52 (4) (2022)
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS (2021)
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR (2021)
Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen
Subjective Learning for Open-Ended Data. CoRR (2021)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Adjacency constraint for efficient hierarchical reinforcement learning. CoRR (2021)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS (2020)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR (2020)
Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou
Deep Meta Metric Learning. ICCV (2019)