Tianren Zhang

According to our database, Tianren Zhang authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Preserving Silent Features for Domain Generalization.

Chujie Zhao, Tianren Zhang, Feng Chen

CoRR, 2024

Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales.

Tianren Zhang, Yuping Huang, Hui Liao, Xianfu Gong, Bo Peng

IEEE Access, 2024

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize.

Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers.

Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Accessible data lineage: A scoping review on open-source data lineage platforms.

Anuja Hariharan, Tianren Zhang, Marvin Motz, Christof Weinhardt

Proceedings of the 45th International Conference on Information Systems, 2024

2023

Partial Consistency for Stabilizing Undiscounted Reinforcement Learning.

Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning.

Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning.

Yihan Li, Jinsheng Ren, Tianren Zhang, Ying Fang, Feng Chen

Knowl. Based Syst., 2023

Provincial Energy Supply and Demand Risk Assessment Based on GRA-AHP-EWM Method.

Xianfu Gong, Yilin Huang, Xiaoke Yun, Tianren Zhang, Yaodong Li, Bo Peng

Proceedings of the 2023 3rd International Conference on Big Data, 2023

Fast Counterfactual Inference for History-Based Reinforcement Learning.

Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Invariable Semantical Representation from Language for Extensible Policy Generalization.

Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen

CoRR, 2022

Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos.

Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen

Appl. Intell., 2022

Segmentation Comparison with FCN Based approach and YOLO Based approach.

Tianren Zhang, Yancong Deng

Proceedings of the 6th International Conference on Video and Image Processing, 2022

2021

Subjective Learning for Open-Ended Data.

Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen

CoRR, 2021

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model.

Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.

Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Deep Meta Metric Learning.

Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019