Tianren Zhang - RankMe

40 papers A* 7A 1C 1Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Personal Driving Risk and Road Safety in the Context of Road Navigation. IEEE Trans. Intell. Transp. Syst. Tianren Zhang, Yajie Zou, Yubin Chen, Yuanchang Xie, Yangyang Wang
2026	J	`jnl`	Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding. CoRR Guanyu Chen, Ruichen Wang, Tianren Zhang, Feng Chen
2026	J	`jnl`	Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding. Trans. Mach. Learn. Res. Guanyu Chen, Ruichen Wang, Tianren Zhang, Feng Chen
2025	J	`jnl`	A multi-objective route-searching strategy balancing fuel consumption and crash risks. Displays Tianren Zhang, Yajie Zou, Yangyang Wang, Siyang Zhang, Yue Zhang, Amin Moeinaddini
2025	J	`jnl`	Causal dreamer for partially observable model-based reinforcement learning. Neurocomputing Haichuan Gao, Tianrun Xu, Tianren Zhang, Yuqing Guo, Chujie Zhao, Jinsheng Ren, Yizhou Jiang, Shangqi Guo, Feng Chen
2025	J	`jnl`	DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning. CoRR Tianrun Xu, Haoda Jing, Ye Li, Yuquan Wei, Jun Feng, Guanyu Chen, Haichuan Gao, Tianren Zhang, Feng Chen
2025	J	`jnl`	Diff-polar: low-light color polarization image enhancement method based on latent diffusion model. Signal Image Video Process. Jin Duan, Zhiyu Zhang, Meiling Gao, Su Zhang, Tianren Zhang, Yangjing Hou
2025	—	`conf`	Enhanced Ferroelectricity in Hf ICICDT David Lehninger, Tianren Zhang, Peter Reinig, Justine Barbot, Mathieu Opprecht, Sébastien Kerdilès, Laurent Grenouillet, Konrad Seidel, Maximilian Lederer
2025	—	`conf`	Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them. EMNLP (Findings) Guanyu Chen, Peiyang Wang, Yizhou Jiang, Yuqian Liu, Chujie Zhao, Ying Fang, Tianren Zhang, Feng Chen
2025	J	`jnl`	Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them. CoRR Guanyu Chen, Peiyang Wang, Tianren Zhang, Feng Chen
2025	J	`jnl`	Iterative compression towards in-distribution features in domain generalization. Neurocomputing Yizhou Jiang, Tianren Zhang, Yihan Li, Guanyu Chen, Feng Chen
2025	A*	`conf`	KRR: Efficient and Scalable Kernel Record Replay. OSDI Tianren Zhang, Sishuai Gong, Pedro Fonseca
2025	J	`jnl`	Multimodal machine learning with large language embedding model for polymer property prediction. CoRR Tianren Zhang, Dai-Bei Yang
2025	J	`jnl`	Property-Oriented Reverse Design of Hydrocarbon Fuels Based on c-infoGAN. J. Chem. Inf. Model. Ruichen Liu, Huiying Wang, Tianren Zhang, Guozhu Liu, Li Wang, Xiangwen Zhang, Guozhu Li
2025	A*	`conf`	When do neural networks learn world models? ICML Tianren Zhang, Guanyu Chen, Feng Chen
2025	J	`jnl`	When do neural networks learn world models? CoRR Tianren Zhang, Guanyu Chen, Feng Chen
2024	C	`conf`	Accessible data lineage: A scoping review on open-source data lineage platforms. ICIS Anuja Hariharan, Tianren Zhang, Marvin Motz, Christof Weinhardt
2024	A*	`conf`	Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. ICML Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen
2024	J	`jnl`	Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. CoRR Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen
2024	—	`conf`	Informed Machine Learning for Real-time Grinding Force Prediction. M2VIP Tianren Zhang, Yuanbin Wang, Ruizhe Dong, Wenhu Wang, Zhongxue Yang, Mingzhu Zhu
2024	J	`jnl`	M Trans. Mach. Learn. Res. Chujie Zhao, Tianren Zhang, Guanyu Chen, Yizhou Jiang, Feng Chen
2024	J	`jnl`	Preserving Silent Features for Domain Generalization. CoRR Chujie Zhao, Tianren Zhang, Feng Chen
2024	J	`jnl`	Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales. IEEE Access Tianren Zhang, Yuping Huang, Hui Liao, Xianfu Gong, Bo Peng
2024	A*	`conf`	Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers. ICLR Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen
2024	—	`conf`	XFusion: Cross-Attention Transformer for Multi-focus Image Fusion. ICONIP (7) Shouxi Zhao, Tianren Zhang, Qin Zou, Chi Chen, Zhongyuan Wang
2023	J	`jnl`	Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2023	A*	`conf`	Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen
2023	J	`jnl`	MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning. Knowl. Based Syst. Yihan Li, Jinsheng Ren, Tianren Zhang, Ying Fang, Feng Chen
2023	J	`jnl`	Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen
2023	—	`conf`	Provincial Energy Supply and Demand Risk Assessment Based on GRA-AHP-EWM Method. ICBAR Xianfu Gong, Yilin Huang, Xiaoke Yun, Tianren Zhang, Yaodong Li, Bo Peng
2022	J	`jnl`	Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. CoRR Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen
2022	J	`jnl`	Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. Appl. Intell. Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen
2022	—	`conf`	Segmentation Comparison with FCN Based approach and YOLO Based approach. ICVIP Tianren Zhang, Yancong Deng
2021	J	`jnl`	Adjacency constraint for efficient hierarchical reinforcement learning. CoRR Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2021	A	`conf`	CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
2021	J	`jnl`	CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
2021	J	`jnl`	Subjective Learning for Open-Ended Data. CoRR Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen
2020	A*	`conf`	Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2020	J	`jnl`	Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2019	A*	`conf`	Deep Meta Metric Learning. ICCV Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou