Wei Wang
Professor
Develops data mining and machine learning methods for biomedical and scientific data, including knowledge graphs and language models for medicine and chemistry.
Wei Wang's lab at UCLA works on graph mining & networks, data management & big data and medical image analysis. 56 papers since 2023, 38 at top venues, mostly ACL and EMNLP. 15 PhD students. 31 alumni. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 68%
- PhD students
- 15
- MS students
- 0
- alumni listed
- 31
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 18 papers2025 · T1 11
- 25 papers2024 · T1 19
- 13 papers2023 · T1 8
T1 venuesOtherVenues: ACL, EMNLP, NAACL, NeurIPS, AAAI
Research focuspaper titles that use each topic's words
- Graph mining & networks10 papers
- Data management & big data5 papers
- Medical image analysis3 papers
- develops data0 papers
- scientific data0 papers
Paper list
From the lab homepage.
202518 papers
- WSDM (T1)Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
- Nature Machine Intelligence (T1)Designing metamaterials with programmable nonlinear responses and geometric constraints in graph space
- Proceedings of ICLR-MLMP WorkshopDoMiNO: Down-scaling Molecular Dynamics with Neural Graph Ordinary Differential Equations
- ICML (T1)GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
- NAACL (T1)GSR-Bench: Benchmarking Deployment in GitHub Science Repositories with LLMs
- ACL (T1)Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection
- Proceedings of the ICLR-AI4MAT WorkshopLarge Language Models Are Innate Crystal Structure Generators
- AAAI (T1)Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
- SIGKDDMetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery
- NAACL (T1)MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
- ICLR (T1)Mixture of In-Context Prompters for Tabular PFNs
- SIGKDDNeural Network Pruning for Invariance Learning
202425 papers
- EMNLP (T1)A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
- Asian Conference on Machine Learning (ACML) Journal TrackA Survey on Self-Supervised Learning for Non-Sequential Tabular Data
- AccMLBioBioinformaticsBench: A collaboratively built large language model benchmark for Bioinformatics reasoning
- BHIBrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations, Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang, Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2024
- BioengineeringBuilding an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
- WWW (T1)Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
- EMNLP (T1)Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
- NeurIPS (T1)Enhancing Large Vision Language Models with Self-Training on Image Comprehension
- NAACL (T1)Event Detection from Social Media for Epidemic Prediction
- NeurIPS (T1)GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
- Climatic ChangeHow the experience of California wildfires shape Twitter climate change framings
- ACL (T1)Improving Event Definition Following for Zero-Shot Event Detection
202313 papers
- WWW (T1)Code Recommendation for Open-source Software Developers
- ACL (T1)Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
- ACL (T1)DICE: Data-Efficient Clinical Event Extraction with Generative Models
- SIGKDDGeneralizing Graph ODE for Learning Complex System Dynamics across Environments
- SDMGotta: Generative Few-shot Question Answering
- IJCAI (T1)Graph-based Molecular Representation Learning
- ICWSMInfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks
- ACL (T1)Introducing Semantics into Speech Encoders
- Materials HorizonsLearning Molecular Dynamics: Predicting the Dynamics of Glasses
- EMNLP (T1)Learning under Label Proportions for Text Classification
- Cell Reports MethodsMIND-S: A Novel Deep Learning Prediction Model for Elucidating Protein PTMs in Human Diseases
- NeurIPS (T1)Universality and Limitations of Prompt Tuning
Where alumni went31 listed
Apply to UCLAFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- optional
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- Members
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