Chenyu Wang
22 papers · 2017–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (14) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(12)
🐣
Hot Topic Early Bird
🏆
Grand Slam
👑
Triple Crown
💎
Century Club
(21)
🚀
Conference Pioneer
🗃️
Keyword Collector
(64)
⚡
Prolific Year
(6)
Conferences
ACL (3)
ICLR (3)
ICML (3)
AAAI (2)
CVPR (2)
AACL (1)
COLING (1)
CORL (1)
ECCV (1)
ICCV (1)
MICCAI (1)
NAACL (1)
NIPS (1)
WACV (1)
Top co-authors
Research topics
Keywords
information retrieval
(2)
concept expansion
(2)
massive open online course
(2)
representation learning
(2)
knowledge graph
(2)
multimodal large language model
(2)
vision language model
(2)
temporal dynamics
(1)
domain adaptation
(1)
benchmark evaluation
(1)
question answering
(1)
information extraction
(1)
bias detection
(1)
visual reasoning
(1)
self-supervised learning
(1)
transfer learning
(1)
model interpretability
(1)
knowledge base
(1)
hierarchical reinforcement learning
(1)
visual question answering
(1)
Papers
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
AAAI 2026
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
CVPR 2025
MLLM-Tool: A Multimodal Large Language Model for Tool Agent Learning
WACV 2025
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation
NAACL 2025
CellFlux: Simulating Cellular Morphology Changes via Flow Matching
ICML 2025
LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers
ACL 2025
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
ICLR 2025
An Information Criterion for Controlled Disentanglement of Multimodal Data
ICLR 2025
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
NIPS 2024
Control with Patterns: A D-learning Method
CORL 2024
Removing Biases from Molecular Representations via Information Maximization
ICLR 2024
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
ICML 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
ICML 2024
Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis
MICCAI 2024
Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective
ECCV 2022
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
AAAI 2022
Open Domain Generalization with Domain-Augmented Meta-Learning
CVPR 2021
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs
ACL 2020
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs
AACL 2020
Financial News Annotation by Weakly-Supervised Hierarchical Multi-label Learning
COLING 2020
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
ACL 2019
Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning
ICCV 2017