Lan-Zhe Guo
27 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
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Conferences
ICML (9)
IJCAI (7)
NIPS (4)
AAAI (3)
ICLR (2)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
semi-supervised learning
(6)
large language model
(5)
domain adaptation
(4)
test-time adaptation
(3)
distribution shift
(3)
symbolic reasoning
(2)
covariate shift
(2)
tabular datum
(2)
classification benchmarks
(1)
transfer learning
(1)
representation learning
(1)
domain generalization
(1)
sentiment analysis
(1)
curriculum learning
(1)
image generation
(1)
knowledge reuse
(1)
constraint solving
(1)
mathematical reasoning
(1)
attention mechanism
(1)
reward modeling
(1)
Papers
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models
AAAI 2026
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling
ACL 2026
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
IJCAI 2025
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
IJCAI 2025
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
IJCAI 2025
Fully Test-time Adaptation for Tabular Data
AAAI 2025
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning
EMNLP 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
ICLR 2025
CGI: Identifying Conditional Generative Models with Example Images
IJCAI 2025
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts
IJCAI 2025
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
ICML 2025
Fully Test-Time Adaptation for Feature Decrement in Tabular Data
IJCAI 2025
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
ICML 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation
ICML 2025
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
ICLR 2024
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
ICML 2024
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
ICML 2023
Identifying Useful Learnwares for Heterogeneous Label Spaces
ICML 2023
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
ICML 2023
USB: A Unified Semi-supervised Learning Benchmark for Classification
NIPS 2022
Robust Semi-Supervised Learning when Not All Classes have Labels
NIPS 2022
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
ICML 2022
LOG: Active Model Adaptation for Label-Efficient OOD Generalization
NIPS 2022
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
NIPS 2021
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience
AAAI 2020
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data
ICML 2020