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2020 – today
- 2026
[j10]Ziqiao Shang
, Bin Liu, Fengmao Lv, Fei Teng, Tianrui Li, Lan-Zhe Guo:
Learning contrastive feature representations for facial action unit detection. Pattern Recognit. 173: 112746 (2026)- [c35]Xiao-Wen Yang, Xuan-Yi Zhu, Dingchu Zhang, Wen-Da Wei, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li:
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models. AAAI 2026: 27657-27665 - [c34]Shi-Yu Tian, Zhi Zhou, Wei Dong, Kun-Yang Yu, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li:
TabularMath: Understanding Math Reasoning over Tables with Large Language Models. ACL (Findings) 2026: 15469-15498 - [c33]Jiaxuan Wang, Yulan Hu, Wenjin Yang, Zheng Pan, Xin Li, Lan-Zhe Guo:
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling. ACL (1) 2026: 23174-23200 - [c32]Zi-Kang Wang, Lei Gong, Shu-Ting Shi, Lan-Zhe Guo, Muyu Zhang:
Multi-field Balance-aware Calibration of Predictions in Online Advertising. WWW 2026: 8793-8796 - [i57]Ziqiao Shang, Lingyue Ge, Yang Chen, Shi-Yu Tian, Zhenyu Huang, Wenbo Fu, Yu-Feng Li, Lan-Zhe Guo:
MapTab: Can MLLMs Master Constrained Route Planning? CoRR abs/2602.18600 (2026) - [i56]Hui-Ze Tan, Xiao-Wen Yang, Hao Chen, Jie-Jing Shao, Yi Wen, Yuteng Shen, Weihong Luo, Xiku Du, Lan-Zhe Guo, Yu-Feng Li:
Hindsight Credit Assignment for Long-Horizon LLM Agents. CoRR abs/2603.08754 (2026) - [i55]Ming Yang, Zhi Zhou, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li:
NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing. CoRR abs/2603.16307 (2026) - [i54]Weiming Wu, Zi-Jian Cheng, Jie Meng, Peng Zhen, Shan Huang, Qun Li, Guobin Wu, Lan-Zhe Guo:
A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication. CoRR abs/2603.17328 (2026) - [i53]Kun-Yang Yu, Zhi Zhou, Shi-Yu Tian, Xiao-Wen Yang, Zi-Yi Jia, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li:
Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning. CoRR abs/2603.24004 (2026) - [i52]Bin Wen, Ruoxuan Zhang, Yang Chen, Hongxia Xie, Lan-Zhe Guo:
Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents. CoRR abs/2604.02734 (2026) - [i51]Jiaxuan Wang, Yulan Hu, Wenjin Yang, Zheng Pan, Xin Li, Lan-Zhe Guo:
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling. CoRR abs/2604.08178 (2026) - [i50]Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Yang Chen, Ziqiao Shang, Lan-Zhe Guo, Yufeng Li:
LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models. CoRR abs/2604.09712 (2026) - [i49]Jie-Jing Shao, Haiyan Yin, Yueming Lyu, Xingrui Yu, Lan-Zhe Guo, Ivor W. Tsang, James Kwok, Yufeng Li:
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks. CoRR abs/2605.01293 (2026) - [i48]Hao Liu, Xiao-Wen Yang, Atharva Sehgal, Yixin Wang, Lan-Zhe Guo, Yu-Feng Li, Yisong Yue:
Programmatic Context Augmentation for LLM-based Symbolic Regression. CoRR abs/2605.03101 (2026) - [i47]Bo-Wen Zhang, Jin Ye, Peng-Yu Hua, Jia-Wei Cao, Jie-Jing Shao, Yu-Feng Li, Lan-Zhe Guo:
Revisiting the Travel Planning Capabilities of Large Language Models. CoRR abs/2605.03308 (2026) - [i46]Zi-Yi Jia, Zi-Jian Cheng, Xin-Yue Zhang, Kun-Yang Yu, Zhi Zhou, Yufeng Li, Lan-Zhe Guo:
VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning. CoRR abs/2605.08146 (2026) - [i45]Jiaxuan Wang, Xuan Ouyang, Zhiyu Chen, Yulan Hu, Zheng Pan, Xin Li, Lan-Zhe Guo:
TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment. CoRR abs/2605.10194 (2026) - [i44]Xiao-Wen Yang, Ziyu Han, Xi-Hua Zhang, Wen-Da Wei, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li:
Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models. CoRR abs/2605.26733 (2026) - [i43]Zhi Zhou, Ming Yang, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li:
On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective. CoRR abs/2605.28057 (2026) - [i42]Ling-Yue Ge, Lan-Zhe Guo:
Roles with Rails: Contract-Preserving Role Evolution in Multi-Agent Structured Reasoning. CoRR abs/2605.28433 (2026) - [i41]Yu-Yang Chen, Lan-Zhe Guo:
TriViewBench: Controlled Complexity Scaling for Multi-View Structural Reasoning in MLLMs. CoRR abs/2606.26029 (2026) - [i40]Song-Lin Lv, Weiming Wu, Rui Zhu, Zi-Jian Cheng, Lan-Zhe Guo:
Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use. CoRR abs/2607.01084 (2026) - 2025
- [j9]Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yufeng Li:
Robust semi-supervised learning in open environments. Frontiers Comput. Sci. 19(8): 198345 (2025) - [c31]Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li:
Fully Test-time Adaptation for Tabular Data. AAAI 2025: 23027-23035 - [c30]Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li:
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning. EMNLP 2025: 12710-12731 - [c29]Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo:
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments. ICML 2025 - [c28]Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li:
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. ICML 2025 - [c27]Hao-Zhe Tan, Zhi Zhou, Yufeng Li, Lan-Zhe Guo:
Vision-Language Model Selection and Reuse for Downstream Adaptation. ICML 2025 - [c26]Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo:
Fully Test-Time Adaptation for Feature Decrement in Tabular Data. IJCAI 2025: 4940-4948 - [c25]Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo:
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. IJCAI 2025: 5887-5895 - [c24]Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo:
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models. IJCAI 2025: 6129-6137 - [c23]Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo:
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts. IJCAI 2025: 6533-6541 - [c22]Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo:
CGI: Identifying Conditional Generative Models with Example Images. IJCAI 2025: 7227-7235 - [c21]Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo:
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning. IJCAI 2025: 8348-8356 - [c20]Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li:
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. IJCAI 2025: 10770-10778 - [c19]Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yufeng Li, Xiaoxing Ma:
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning. NeurIPS 2025 - [i39]Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo:
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. CoRR abs/2501.07769 (2025) - [i38]Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo:
CGI: Identifying Conditional Generative Models with Example Images. CoRR abs/2501.13991 (2025) - [i37]Hao-Zhe Tan, Zhi Zhou, Lan-Zhe Guo, Yufeng Li:
Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks. CoRR abs/2501.18271 (2025) - [i36]Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Lan-Zhe Guo, Yufeng Li:
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment. CoRR abs/2501.18935 (2025) - [i35]Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Yufeng Li, Lan-Zhe Guo:
Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment. CoRR abs/2501.19060 (2025) - [i34]Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Xiaoxing Ma, Yufeng Li:
Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning. CoRR abs/2502.00511 (2025) - [i33]Xiao-Wen Yang, Xuan-Yi Zhu, Wen-Da Wei, Dingchu Zhang, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li:
Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models. CoRR abs/2502.04404 (2025) - [i32]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:
LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM. CoRR abs/2502.06572 (2025) - [i31]Lin-Han Jia, Si-Yu Han, Lan-Zhe Guo, Zhi Zhou, Zhao-Long Li, Yufeng Li, Zhi-Hua Zhou:
A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. CoRR abs/2502.12919 (2025) - [i30]Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo:
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning. CoRR abs/2503.11441 (2025) - [i29]Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li:
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. CoRR abs/2503.12917 (2025) - [i28]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Si-Ye Han, Zi-Wen Li, Yufeng Li:
Micro Text Classification Based on Balanced Positive-Unlabeled Learning. CoRR abs/2503.13562 (2025) - [i27]Song-Lin Lv, Rui Zhu, Yu-Feng Li, Lan-Zhe Guo:
Unlabeled Data or Pre-trained Model: Rethinking Semi-Supervised Learning and Pretrain-Finetuning. CoRR abs/2505.13317 (2025) - [i26]Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo:
Realistic Evaluation of TabPFN v2 in Open Environments. CoRR abs/2505.16226 (2025) - [i25]Weiming Wu, Zi-kang Wang, Jin Ye, Zhi Zhou, Yufeng Li, Lan-Zhe Guo:
NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation. CoRR abs/2505.17121 (2025) - [i24]Shi-Yu Tian, Zhi Zhou, Wei Dong, Ming Yang, Kun-Yang Yu, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li:
Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights. CoRR abs/2505.19563 (2025) - [i23]Lin-Han Jia, Si-Yu Han, Wen-Chao Hu, Jie-Jing Shao, Wen-Da Wei, Zhi Zhou, Lan-Zhe Guo, Yufeng Li:
When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective. CoRR abs/2508.07299 (2025) - [i22]Jia Zhang, Yao Liu, Chen-Xi Zhang, Yi Liu, Yi-Xuan Jin, Lan-Zhe Guo, Yu-Feng Li:
Beyond Single: A Data Selection Principle for LLM Alignment via Fine-Grained Preference Signals. CoRR abs/2508.07638 (2025) - [i21]Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li:
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. CoRR abs/2508.13678 (2025) - [i20]Xiao-Wen Yang, Zihao Zhang, Jianuo Cao, Zhi Zhou, Zenan Li, Lan-Zhe Guo, Yuan Yao, Taolue Chen, Yufeng Li, Xiaoxing Ma:
FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory. CoRR abs/2510.02335 (2025) - [i19]Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yufeng Li, Xiaoxing Ma:
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning. CoRR abs/2510.15444 (2025) - [i18]Rui Zhu, Song-Lin Lv, Zi-Kang Wang, Lan-Zhe Guo:
Bi-CoG: Bi-Consistency-Guided Self-Training for Vision-Language Models. CoRR abs/2510.20477 (2025) - [i17]Hong-Jie You, Jie-Jing Shao, Xiao-Wen Yang, Lin-Han Jia, Lan-Zhe Guo, Yu-Feng Li:
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training. CoRR abs/2512.02652 (2025) - 2024
- [j8]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li:
LAMDA-SSL: a comprehensive semi-supervised learning toolkit. Sci. China Inf. Sci. 67(1) (2024) - [j7]Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo:
Open-set learning under covariate shift. Mach. Learn. 113(4): 1643-1659 (2024) - [j6]Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo:
Transfer and share: semi-supervised learning from long-tailed data. Mach. Learn. 113(4): 1725-1742 (2024) - [j5]Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Reweighting for Mitigating Label Quality Issues. IEEE Trans. Vis. Comput. Graph. 30(3): 1837-1852 (2024) - [c18]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li:
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. ICLR 2024 - [c17]Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. ICML 2024: 62161-62177 - [c16]Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li:
Offline Imitation Learning with Model-based Reverse Augmentation. KDD 2024: 2608-2617 - [i16]Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. CoRR abs/2406.00345 (2024) - [i15]Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiaowen Yang, Yi-Xuan Jin, Lan-Zhe Guo, Yufeng Li:
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. CoRR abs/2406.04614 (2024) - [i14]Shi-Yu Tian, Zhi Zhou, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li:
Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. CoRR abs/2406.05055 (2024) - [i13]Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li:
Offline Imitation Learning with Model-based Reverse Augmentation. CoRR abs/2406.12550 (2024) - [i12]Jia Zhang, Zhi Zhou, Lan-Zhe Guo, Yufeng Li:
Enabling Small Models for Zero-Shot Classification through Model Label Learning. CoRR abs/2408.11449 (2024) - [i11]Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li:
Fully Test-time Adaptation for Tabular Data. CoRR abs/2412.10871 (2024) - [i10]Zhi Zhou, Lan-Zhe Guo, Peng-Xiao Song, Yufeng Li:
You Only Submit One Image to Find the Most Suitable Generative Model. CoRR abs/2412.12232 (2024) - [i9]Jie-Jing Shao, Xiao-Wen Yang, Bo-Wen Zhang, Baizhi Chen, Wen-Da Wei, Guohao Cai, Zhenhua Dong, Lan-Zhe Guo, Yu-feng Li:
ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning. CoRR abs/2412.13682 (2024) - [i8]Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yu-Feng Li:
Robust Semi-Supervised Learning in Open Environments. CoRR abs/2412.18256 (2024) - 2023
- [c15]Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou:
Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML 2023: 12122-12131 - [c14]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li:
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML 2023: 14886-14901 - [c13]Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yufeng Li:
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. ICML 2023: 42574-42588 - [i7]Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yufeng Li:
Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR abs/2310.03324 (2023) - [i6]Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Reweighting for Mitigating Label Quality Issues. CoRR abs/2312.05067 (2023) - 2022
- [c12]Lan-Zhe Guo, Yufeng Li:
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. ICML 2022: 8082-8094 - [c11]Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yufeng Li:
Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS 2022 - [c10]Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yufeng Li:
LOG: Active Model Adaptation for Label-Efficient OOD Generalization. NeurIPS 2022 - [c9]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:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [i5]Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo:
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data. CoRR abs/2205.13358 (2022) - [i4]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li:
LAMDA-SSL: Semi-Supervised Learning in Python. CoRR abs/2208.04610 (2022) - [i3]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:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - 2021
- [j4]Miao Xu, Lan-Zhe Guo:
Learning from group supervision: the impact of supervision deficiency on multi-label learning. Sci. China Inf. Sci. 64(3) (2021) - [j3]Yufeng Li, Lan-Zhe Guo, Zhi-Hua Zhou:
Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 334-346 (2021) - [j2]Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27(9): 3701-3716 (2021) - [c8]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:
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD 2021: 487-495 - [c7]Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yufeng Li, Shiliang Pu:
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. NeurIPS 2021: 29168-29180 - 2020
- [c6]Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie:
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. AAAI 2020: 4052-4059 - [c5]Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou:
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML 2020: 3897-3906 - [c4]Lan-Zhe Guo, Zhi Zhou, Yufeng Li:
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. KDD 2020: 1636-1644 - [i2]Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie:
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement. CoRR abs/2001.09027 (2020)
2010 – 2019
- 2019
- [c3]Lan-Zhe Guo, Tao Han, Yufeng Li:
Robust Semi-supervised Representation Learning for Graph-Structured Data. PAKDD (3) 2019: 131-143 - [i1]Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou:
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR abs/1904.09743 (2019) - 2018
- [j1]Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao:
Learning safe multi-label prediction for weakly labeled data. Mach. Learn. 107(4): 703-725 (2018) - [c2]Lan-Zhe Guo, Yufeng Li:
A General Formulation for Safely Exploiting Weakly Supervised Data. AAAI 2018: 3126-3133 - [c1]Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li:
Large Margin Graph Construction for Semi-Supervised Learning. ICDM Workshops 2018: 1030-1033
Coauthor Index
Yufeng Li
aka: Yu-Feng Li
aka: Yu-Feng Li
[c35] [c34] [i55] [i53] [i50] [i49] [i46] [i43] [j9] [c31] [c30] [c29] [c27] [c20] [c19] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i28] [i26] [i25] [i24] [i23] [i21] [i20] [i19] [j8] [j5] [c18] [c17] [i16] [i15] [i14] [i12] [i11] [i10] [c15] [c14] [c13] [i7] [i6] [c12] [c11] [c10] [c9] [i4] [i3] [j3] [j2] [c8] [c7] [c6] [c5] [c4] [i2] [c3] [i1] [j1] [c2] [c1]
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