RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. - Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (KDD, 2020)

Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. - Lan-Zhe Guo; Zhi Zhou 007; Jie-Jing Shao; Qi Zhang; Feng Kuang; Gao-Le Li; Zhang-Xun Liu; Guobin Wu 001; Nan Ma; Qun (Tracy) Li; Yufeng Li 008 (KDD, 2021)

STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. - Zhi Zhou 007; Lan-Zhe Guo; Zhanzhan Cheng; Yufeng Li 008; Shiliang Pu (NeurIPS, 2021)

USB: A Unified Semi-supervised Learning Benchmark for Classification. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (NeurIPS, 2022)

LAMDA-SSL: Semi-Supervised Learning in Python. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (CoRR, 2022)

USB: A Unified Semi-supervised Learning Benchmark. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (CoRR, 2022)

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. - Zhi Zhou 007; Lan-Zhe Guo; Lin-Han Jia; Dingchu Zhang; Yufeng Li 008 (ICML, 2023)

Identifying Useful Learnwares for Heterogeneous Label Spaces. - Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008; Zhi-Hua Zhou (ICML, 2023)

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Jie-Jing Shao; Yuke Xiang; Yufeng Li 008 (ICML, 2023)

Parameter-Efficient Long-Tailed Recognition. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Xin-Yan Han; Jie-Jing Shao; Yufeng Li 008 (CoRR, 2023)

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning. - Dingchu Zhang; Zhi Zhou 007; Yufeng Li 008 (AAAI, 2024)

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. - Heng-Kai Zhang; Yi-Ge Zhang; Zhi Zhou 007; Yufeng Li 008 (AAAI, 2024)

Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (ICLR, 2024)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. - Zhi Zhou 007; Ming Yang; Jiang-Xin Shi; Lan-Zhe Guo; Yufeng Li 008 (ICML, 2024)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Jie-Jing Shao; Xin-Yan Han; Yufeng Li 008 (ICML, 2024)

LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning. - Heng-Kai Zhang; Yi-Ge Zhang; Zhi Zhou 007; Yufeng Li 008 (IJCAI, 2024)

LAMDA-SSL: a comprehensive semi-supervised learning toolkit. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (Sci. China Inf. Sci., 2024)

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. - Zhi Zhou 007; Jiang-Xin Shi; Peng-Xiao Song; Xiaowen Yang; Yi-Xuan Jin; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2024)

Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. - Shi-Yu Tian; Zhi Zhou 007; Lin-Han Jia; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2024)

You Only Submit One Image to Find the Most Suitable Generative Model. - Zhi Zhou 007; Lan-Zhe Guo; Peng-Xiao Song; Yufeng Li 008 (CoRR, 2024)

Rts: learning robustly from time series data with noisy label. - Zhi Zhou 007; Yi-Xuan Jin; Yufeng Li 008 (Frontiers Comput. Sci., 2024)

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. - Xiao-Wen Yang; Jie-Jing Shao; Lan-Zhe Guo; Bo-Wen Zhang; Zhi Zhou 007; Lin-Han Jia; Wang-Zhou Dai; Yufeng Li 008 (IJCAI, 2025)

CGI: Identifying Conditional Generative Models with Example Images. - Zhi Zhou 007; Hao-Zhe Tan; Peng-Xiao Song; Lan-Zhe Guo (CoRR, 2025)

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models. - Xiao-Wen Yang; Xuan-Yi Zhu; Wen-Da Wei; Dingchu Zhang; Jie-Jing Shao; Zhi Zhou 007; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2025)

A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. - Lin-Han Jia; Si-Yu Han; Lan-Zhe Guo; Zhi Zhou 007; Zhao-Long Li; Yufeng Li 008; Zhi-Hua Zhou (CoRR, 2025)

Micro Text Classification Based on Balanced Positive-Unlabeled Learning. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Si-Ye Han; Zi-Wen Li; Yufeng Li 008 (CoRR, 2025)

When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective. - Lin-Han Jia; Si-Yu Han; Wen-Chao Hu; Jie-Jing Shao; Wen-Da Wei; Zhi Zhou 007; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2025)