Zhi Zhou
24 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π§ Keyword Pioneer π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
π§
Keyword Pioneer
π€
Dynamic Duo
(19)
π
Triple Crown
π
Keyword Champion
(2)
π
Grand Slam
π₯
Mega-Team
(22)
π₯
Unstoppable
(5)
π
Century Club
(23)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(96)
Conferences
ICML (7)
IJCAI (5)
AAAI (4)
NIPS (3)
EMNLP (2)
ICLR (2)
ACL (1)
Top co-authors
Keywords
large language model
(5)
domain adaptation
(4)
test-time adaptation
(4)
semi-supervised learning
(4)
distribution shift
(3)
symbolic reasoning
(2)
mathematical reasoning
(2)
tabular datum
(2)
covariate shift
(2)
unified benchmark
(1)
classification benchmarks
(1)
knowledge reuse
(1)
constraint solving
(1)
attention mechanism
(1)
named entity recognition
(1)
transfer learning
(1)
knowledge representation
(1)
question answering
(1)
domain generalization
(1)
knowledge distillation
(1)
Papers
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models
AAAI 2026
CGI: Identifying Conditional Generative Models with Example Images
IJCAI 2025
Fully Test-time Adaptation for Tabular Data
AAAI 2025
Basic Reading Distillation
ACL 2025
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
ICML 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation
ICML 2025
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
IJCAI 2025
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning
EMNLP 2025
AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking
EMNLP 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
Fully Test-Time Adaptation for Feature Decrement in Tabular Data
IJCAI 2025
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning
IJCAI 2024
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
AAAI 2024
HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors
AAAI 2024
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
ICLR 2024
Neuro-Symbolic Data Generation for Math Reasoning
NIPS 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
ICML 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
NIPS 2022
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
NIPS 2021