Aimin Zhou
24 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(51)
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(101)
β‘
Prolific Year
(10)
π
Century Club
(22)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
AAAI (8)
ACL (5)
ICML (3)
ICLR (2)
ACML (1)
COLING (1)
CVPR (1)
EMNLP (1)
IJCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(4)
bayesian optimization
(3)
multimodal learning
(3)
multi-objective optimization
(2)
evolutionary algorithm
(2)
pareto set learning
(2)
vision-language model
(2)
benchmark evaluation
(2)
cognitive diagnosis
(2)
supervised fine-tuning
(2)
expensive optimization
(2)
surrogate model
(2)
mathematical reasoning
(1)
curriculum learning
(1)
causal reasoning
(1)
causal discovery
(1)
graph theory
(1)
domain adaptation
(1)
stochastic gradient descent
(1)
multi-instance learning
(1)
Papers
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
ACL 2026
CLIP2Pose: Frozen CLIP as Semantic Guide for Domain Adaptive Pose Estimation
AAAI 2026
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
IJCAI 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI 2025
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
ICLR 2025
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
ICLR 2025
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
ICML 2025
ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models
ICML 2025
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
ACL 2025
The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights
ACL 2025
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
ACL 2025
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
COLING 2025
Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models
ACML 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
AAAI 2024
Wasserstein Differential Privacy
AAAI 2024
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
AAAI 2024
Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM
ACL 2024
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
NIPS 2024
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
EMNLP 2024
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
CVPR 2023
High-Dimensional Dueling Optimization with Preference Embedding
AAAI 2023
The Teaching Dimension of Regularized Kernel Learners
ICML 2022
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
AAAI 2019