Lan-Zhe Guo
27 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(27)
Learning Types Β· Machine Learning
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Artificial Intelligence
(14)
Core AI
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Deep Learning
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Application Areas
(9)
Learning Types Β· Deep Learning
(6)
Optimization & Theory
(6)
Natural Language Processing
(3)
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Knowledge & Reasoning
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Keywords
semi-supervised learning
(8)
large language model
(6)
distribution shift
(5)
domain adaptation
(4)
tabular data
(3)
unlabeled data
(3)
test-time adaptation
(3)
out-of-distribution detection
(2)
neuro-symbolic system
(2)
unseen class
(2)
vision-language model
(2)
symbolic reasoning
(2)
covariate shift
(2)
sentiment analysis
(1)
classification benchmarks
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transfer learning
(1)
domain generalization
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representation learning
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model selection
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mathematical reasoning
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Papers
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling
ACL 2026
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models
AAAI 2026
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
IJCAI 2025
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
CGI: Identifying Conditional Generative Models with Example Images
IJCAI 2025
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts
IJCAI 2025
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
IJCAI 2025
Fully Test-Time Adaptation for Feature Decrement in Tabular Data
IJCAI 2025
Fully Test-time Adaptation for Tabular Data
AAAI 2025
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
IJCAI 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
ICLR 2025
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
ICML 2025
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning
EMNLP 2025
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
ICML 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation
ICML 2025
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
ICML 2024
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
ICLR 2024
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
ICML 2023
Identifying Useful Learnwares for Heterogeneous Label Spaces
ICML 2023
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
ICML 2023
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
ICML 2022
LOG: Active Model Adaptation for Label-Efficient OOD Generalization
NeurIPS 2022
Robust Semi-Supervised Learning when Not All Classes have Labels
NeurIPS 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
NeurIPS 2022
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
NeurIPS 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