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ORCIDTianren Zhang
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2020 – today
- 2024
[j5]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: 25129-25145 (2024)- [c8]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 - [c7]Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen:
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. ICML 2024 - [i7]Chujie Zhao, Tianren Zhang, Feng Chen:
Preserving Silent Features for Domain Generalization. CoRR abs/2401.03170 (2024) - [i6]Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen:
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. CoRR abs/2406.03345 (2024) - 2023
- [j4]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: 110613 (2023) - [j3]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): 4152-4166 (2023) - [j2]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): 10359-10373 (2023) - [c6]Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen:
Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI 2023: 7613-7623 - [c5]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: 699-704 - 2022
- [j1]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): 4258-4273 (2022) - [c4]Tianren Zhang, Yancong Deng:
Segmentation Comparison with FCN Based approach and YOLO Based approach. ICVIP 2022: 1-6 - [i5]Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen:
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. CoRR abs/2202.00466 (2022) - 2021
- [c3]Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen:
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS 2021: 6747-5754 - [i4]Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen:
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR abs/2106.09422 (2021) - [i3]Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen:
Subjective Learning for Open-Ended Data. CoRR abs/2108.12113 (2021) - [i2]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency constraint for efficient hierarchical reinforcement learning. CoRR abs/2111.00213 (2021) - 2020
- [c2]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS 2020 - [i1]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR abs/2006.11485 (2020)
2010 – 2019
- 2019
- [c1]Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou:
Deep Meta Metric Learning. ICCV 2019: 9546-9555
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