Zhi Zhou - RankMe

54 papers A* 23Journal 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing. CoRR Ming Yang, Zhi Zhou, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2026	A*	`conf`	Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models. AAAI Xiao-Wen Yang, Xuan-Yi Zhu, Dingchu Zhang, Wen-Da Wei, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2026	J	`jnl`	Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning. CoRR Kun-Yang Yu, Zhi Zhou, Shi-Yu Tian, Xiao-Wen Yang, Zi-Yi Jia, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. CoRR Lin-Han Jia, Si-Yu Han, Lan-Zhe Guo, Zhi Zhou, Zhao-Long Li, Yufeng Li, Zhi-Hua Zhou
2025	J	`jnl`	A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning. CoRR Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yufeng Li, Xiaoxing Ma
2025	J	`jnl`	Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights. CoRR Shi-Yu Tian, Zhi Zhou, Wei Dong, Ming Yang, Kun-Yang Yu, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li
2025	A*	`conf`	BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. IJCAI Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo
2025	J	`jnl`	BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. CoRR Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo
2025	J	`jnl`	Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning. CoRR Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Xiaoxing Ma, Yufeng Li
2025	A*	`conf`	CGI: Identifying Conditional Generative Models with Example Images. IJCAI Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo
2025	J	`jnl`	CGI: Identifying Conditional Generative Models with Example Images. CoRR Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo
2025	J	`jnl`	Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment. CoRR Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	J	`jnl`	FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory. CoRR Xiao-Wen Yang, Zihao Zhang, Jianuo Cao, Zhi Zhou, Zenan Li, Lan-Zhe Guo, Yuan Yao, Taolue Chen, Yufeng Li, Xiaoxing Ma
2025	A*	`conf`	Fully Test-Time Adaptation for Feature Decrement in Tabular Data. IJCAI Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo
2025	A*	`conf`	Fully Test-time Adaptation for Tabular Data. AAAI Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM. CoRR Zhi Zhou, Kun-Yang Yu, Shi-Yu Tian, Xiao-Wen Yang, Jiang-Xin Shi, Peng-Xiao Song, Yi-Xuan Jin, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	Micro Text Classification Based on Balanced Positive-Unlabeled Learning. CoRR Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Si-Ye Han, Zi-Wen Li, Yufeng Li
2025	J	`jnl`	NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation. CoRR Weiming Wu, Zi-Kang Wang, Jin Ye, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	A*	`conf`	Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. IJCAI Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li
2025	J	`jnl`	Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. CoRR Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li
2025	J	`jnl`	Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks. CoRR Hao-Zhe Tan, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	Realistic Evaluation of TabPFN v2 in Open Environments. CoRR Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	J	`jnl`	Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models. CoRR Xiao-Wen Yang, Xuan-Yi Zhu, Wen-Da Wei, Dingchu Zhang, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment. CoRR Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025	A*	`conf`	TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments. ICML Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	A*	`conf`	VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning. EMNLP Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li
2025	A*	`conf`	Vision-Language Model Selection and Reuse for Downstream Adaptation. ICML Hao-Zhe Tan, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	J	`jnl`	When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective. CoRR Lin-Han Jia, Si-Yu Han, Wen-Chao Hu, Jie-Jing Shao, Wen-Da Wei, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2024	A*	`conf`	DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. ICML Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li
2024	J	`jnl`	DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. CoRR Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li
2024	J	`jnl`	Enabling Small Models for Zero-Shot Classification through Model Label Learning. CoRR Jia Zhang, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2024	J	`jnl`	Fully Test-time Adaptation for Tabular Data. CoRR Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2024	A*	`conf`	HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. AAAI Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li
2024	J	`jnl`	LAMDA-SSL: a comprehensive semi-supervised learning toolkit. Sci. China Inf. Sci. Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2024	A*	`conf`	LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning. IJCAI Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li
2024	J	`jnl`	LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. CoRR Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiaowen Yang, Yi-Xuan Jin, Lan-Zhe Guo, Yufeng Li
2024	A*	`conf`	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. ICML Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yufeng Li
2024	A*	`conf`	Neuro-Symbolic Data Generation for Math Reasoning. NeurIPS Zenan Li, Zhi Zhou, Yuan Yao, Xian Zhang, Yufeng Li, Chun Cao, Fan Yang, Xiaoxing Ma
2024	J	`jnl`	Neuro-Symbolic Data Generation for Math Reasoning. CoRR Zenan Li, Zhi Zhou, Yuan Yao, Yufeng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma
2024	A*	`conf`	Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. ICLR Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2024	A*	`conf`	Robust Test-Time Adaptation for Zero-Shot Prompt Tuning. AAAI Dingchu Zhang, Zhi Zhou, Yufeng Li
2024	J	`jnl`	Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. CoRR Shi-Yu Tian, Zhi Zhou, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li
2024	J	`jnl`	Rts: learning robustly from time series data with noisy label. Frontiers Comput. Sci. Zhi Zhou, Yi-Xuan Jin, Yufeng Li
2024	J	`jnl`	You Only Submit One Image to Find the Most Suitable Generative Model. CoRR Zhi Zhou, Lan-Zhe Guo, Peng-Xiao Song, Yufeng Li
2023	A*	`conf`	Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li
2023	A*	`conf`	Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou
2023	A*	`conf`	ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. ICML Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yufeng Li
2023	J	`jnl`	Parameter-Efficient Long-Tailed Recognition. CoRR Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yufeng Li
2022	J	`jnl`	LAMDA-SSL: Semi-Supervised Learning in Python. CoRR Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2022	A*	`conf`	USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022	J	`jnl`	USB: A Unified Semi-supervised Learning Benchmark. CoRR Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2021	A*	`conf`	Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun (Tracy) Li, Yufeng Li
2021	A*	`conf`	STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. NeurIPS Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yufeng Li, Shiliang Pu
2020	A*	`conf`	RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. KDD Lan-Zhe Guo, Zhi Zhou, Yufeng Li