Zhi Zhou
25 papers · 2021–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (53) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
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Mega-Team Β· Squad
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Dynamic Duo
(20)
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Triple Crown
ποΈ
Keyword Collector
(124)
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(23)
Learning Types Β· Machine Learning
(16)
Artificial Intelligence
(15)
Deep Learning
(13)
Core AI Β· Artificial Intelligence
(13)
Application Areas
(11)
Learning Types Β· Deep Learning
(8)
Core Methods
(6)
Optimization & Theory
(5)
Computer Vision
(4)
Natural Language Processing
(3)
Applications
(3)
Learning Paradigms
(3)
Models
(3)
Core AI Β· Computer Vision
(2)
Keywords
large language model
(7)
semi-supervised learning
(5)
distribution shift
(5)
domain adaptation
(4)
test-time adaptation
(4)
tabular data
(3)
mathematical reasoning
(2)
symbolic reasoning
(2)
out-of-distribution detection
(2)
unlabeled data
(2)
prompt tuning
(2)
vision-language model
(2)
multimodal learning
(2)
covariate shift
(2)
constraint solving
(1)
unified benchmark
(1)
classification benchmarks
(1)
knowledge reuse
(1)
transfer learning
(1)
knowledge representation
(1)
Papers
Neural Dynamic GI: Random-Access Neural Compression for Temporal Lightmaps in Dynamic Lighting Environments
CVPR 2026
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models
AAAI 2026
AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking
EMNLP 2025
Basic Reading Distillation
ACL 2025
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
IJCAI 2025
CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search
ICLR 2025
CGI: Identifying Conditional Generative Models with Example Images
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
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
Vision-Language Model Selection and Reuse for Downstream Adaptation
ICML 2025
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
ICML 2024
HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors
AAAI 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning
IJCAI 2024
Neuro-Symbolic Data Generation for Math Reasoning
NeurIPS 2024
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
ICLR 2024
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
AAAI 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
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