Deep Meta Metric Learning. - Guangyi Chen 002; Tianren Zhang; Jiwen Lu; Jie Zhou 001 (ICCV, 2019)

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. - Tianren Zhang; Shangqi Guo; Tian Tan 003; Xiaolin Hu 001; Feng Chen 007 (NeurIPS, 2020)

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. - Chongkai Gao; Haichuan Gao; Shangqi Guo; Tianren Zhang; Feng Chen 007 (IROS, 2021)

Subjective Learning for Open-Ended Data. - Tianren Zhang; Yizhou Jiang; Xin Su; Shangqi Guo; Feng Chen 007 (CoRR, 2021)

Segmentation Comparison with FCN Based approach and YOLO Based approach. - Tianren Zhang; Yancong Deng (ICVIP, 2022)

Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. - Pengfei Sun; Zhile Yang; Tianren Zhang; Shangqi Guo; Feng Chen 007 (Appl. Intell., 2022)

Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. - Yihan Li; Jinsheng Ren; Tianrun Xu; Tianren Zhang; Haichuan Gao; Feng Chen 007 (CoRR, 2022)

Fast Counterfactual Inference for History-Based Reinforcement Learning. - Haichuan Gao; Tianren Zhang; Zhile Yang; Yuqing Guo; Jinsheng Ren; Shangqi Guo; Feng Chen 007 (AAAI, 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 (ICBAR, 2023)

MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning. - Yihan Li; Jinsheng Ren; Tianren Zhang; Ying Fang; Feng Chen 007 (Knowl. Based Syst., 2023)

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. - Tianren Zhang; Shangqi Guo; Tian Tan 003; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. - Haichuan Gao; Zhile Yang; Tian Tan 003; Tianren Zhang; Jinsheng Ren; Pengfei Sun; Shangqi Guo; Feng Chen 007 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Accessible data lineage: A scoping review on open-source data lineage platforms. - Anuja Hariharan; Tianren Zhang; Marvin Motz; Christof Weinhardt (ICIS, 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 007 (ICLR, 2024)

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. - Tianren Zhang; Chujie Zhao; Guanyu Chen; Yizhou Jiang; Feng Chen 007 (ICML, 2024)

XFusion: Cross-Attention Transformer for Multi-focus Image Fusion. - Shouxi Zhao; Tianren Zhang; Qin Zou 001; Chi Chen 002; Zhongyuan Wang 001 (ICONIP (7), 2024)

Informed Machine Learning for Real-time Grinding Force Prediction. - Tianren Zhang; Yuanbin Wang; Ruizhe Dong; Wenhu Wang; Zhongxue Yang; Mingzhu Zhu (M2VIP, 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)

Preserving Silent Features for Domain Generalization. - Chujie Zhao; Tianren Zhang; Feng Chen 007 (CoRR, 2024)

M3PL: Identifying and Exploiting View Bias of Prompt Learning. - Chujie Zhao; Tianren Zhang; Guanyu Chen; Yizhou Jiang; Feng Chen 007 (Trans. Mach. Learn. Res., 2024)

Enhanced Ferroelectricity in Hf0.5Zr.5O2 Thin Films by NLA at Intermediate Laser Energy Density. - David Lehninger; Tianren Zhang; Peter Reinig; Justine Barbot; Mathieu Opprecht; Sébastien Kerdilès; Laurent Grenouillet; Konrad Seidel; Maximilian Lederer (ICICDT, 2025)

KRR: Efficient and Scalable Kernel Record Replay. - Tianren Zhang; Sishuai Gong; Pedro Fonseca 001 (OSDI, 2025)

A multi-objective route-searching strategy balancing fuel consumption and crash risks. - Tianren Zhang; Yajie Zou; Yangyang Wang; Siyang Zhang; Yue Zhang; Amin Moeinaddini (Displays, 2025)

Causal dreamer for partially observable model-based reinforcement learning. - Haichuan Gao; Tianrun Xu; Tianren Zhang; Yuqing Guo; Chujie Zhao; Jinsheng Ren; Yizhou Jiang; Shangqi Guo; Feng Chen 007 (Neurocomputing, 2025)

Iterative compression towards in-distribution features in domain generalization. - Yizhou Jiang; Tianren Zhang; Yihan Li; Guanyu Chen; Feng Chen 007 (Neurocomputing, 2025)

Property-Oriented Reverse Design of Hydrocarbon Fuels Based on c-infoGAN. - Ruichen Liu; Huiying Wang; Tianren Zhang; Guozhu Liu; Li Wang; Xiangwen Zhang; Guozhu Li (J. Chem. Inf. Model., 2025)

When do neural networks learn world models? - Tianren Zhang; Guanyu Chen; Feng Chen 007 (CoRR, 2025)

Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them. - Guanyu Chen; Peiyang Wang; Tianren Zhang; Feng Chen 007 (CoRR, 2025)

Multimodal machine learning with large language embedding model for polymer property prediction. - Tianren Zhang; Dai-Bei Yang (CoRR, 2025)