Aimin Zhou
25 papers · 2019–2026 · 10 venues · across top CS/AI venues
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(8)
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Research topics
Machine Learning
(17)
Artificial Intelligence
(11)
Core AI
(11)
Optimization & Theory
(9)
Deep Learning
(8)
Mathematics & Optimization
(7)
Application Areas
(7)
Optimization
(7)
Learning Types Β· Machine Learning
(6)
Natural Language Processing
(5)
Core Methods
(5)
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(4)
Models
(4)
Computer Vision
(3)
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(3)
Keywords
large language model
(6)
vision-language model
(3)
multimodal learning
(3)
bayesian optimization
(3)
expensive optimization
(2)
multi-objective optimization
(2)
evolutionary algorithm
(2)
surrogate model
(2)
supervised fine-tuning
(2)
cognitive diagnosis
(2)
benchmark evaluation
(2)
code generation
(2)
pareto set learning
(2)
curriculum learning
(1)
causal discovery
(1)
domain adaptation
(1)
graph theory
(1)
multi-instance learning
(1)
benchmark suite
(1)
stochastic gradient descent
(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
HamiPose: Hamiltonian Optimization for Unsupervised Domain Adaptive Pose Estimation
CVPR 2026
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
IJCAI 2025
ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models
ICML 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI 2025
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
COLING 2025
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
ACL 2025
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
ICLR 2025
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
ACL 2025
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
ICLR 2025
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
ICML 2025
The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights
ACL 2025
Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM
ACL 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2024
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
NeurIPS 2024
Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models
ACML 2024
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
AAAI 2024
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
EMNLP 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
AAAI 2024
Wasserstein Differential Privacy
AAAI 2024
High-Dimensional Dueling Optimization with Preference Embedding
AAAI 2023
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
CVPR 2023
The Teaching Dimension of Regularized Kernel Learners
ICML 2022
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
AAAI 2019