Pengtao Xie
Associate Professor
Develops machine learning and NLP methods for healthcare and automated machine learning.
Pengtao Xie's lab at UCSD works on medical imaging & healthcare AI. 45 papers since 2023, 32 at top venues, mostly ICML and NeurIPS. 6 PhD students. 14 alumni, most often to Oracle AI. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 71%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 14
Papers by yearfrom the lab homepage, 2023–2026
- 10 papers2026 · T1 7 · collecting
- 11 papers2025 · T1 9
- 13 papers2024 · T1 8
- 11 papers2023 · T1 8
T1 venuesOtherVenues: ICML, NeurIPS, TMLR, NAACL, EMNLP
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI4 papers
- nlp methods0 papers
- automated0 papers
- nlp0 papers
- healthcare0 papers
Paper list
From the lab homepage.
202610 papers
- ACL (T1)BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models
- IEEE Transactions on Artificial IntelligenceImproving Neural Architecture Search by Minimizing Worst-Case Validation Loss
- npj Artificial IntelligenceInterleaving Multi-Task Neural Architecture Search
- TMLR (T1)Learning to Prompt for Generalizable Instance Segmentation via Bi-Level Optimization
- ICML (T1)Models Under SCOPE: Scalable and Controllable Routing via Pre-hoc Reasoning
- ICML (T1)Position: Creating High-Fidelity Synthetic Training Data Should Employ Multi-level Optimization
- ICML (T1)Position: Deciphering the Functions of DNAs, RNAs, and Proteins Should Consider Multi-Modal Large Language Models
- Cell Reports MethodsProteinAligner: A Multi-modal Pretraining Framework for Protein Foundation Models
- Nature Communications (T1)scLong: A Billion-Parameter Foundation Model for Capturing Long-Range Gene Context in Single-Cell Transcriptomics
- CVPR (T1)TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery
202511 papers
- Journal of Medical Internet Research (JMIR) AIArtificial Intelligence-Driven Tacrolimus Dosing: Improving Precision in Transplant Care
- TMLR (T1)BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
- EMNLP (T1)Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
- NAACL (T1)Defense against Prompt Injection Attacks via Mixture of Encodings
- NeurIPS (T1)DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning
- Nature Communications (T1)Generative AI enables medical image segmentation in ultra low-data regimes
- TMLR (T1)Gupta, Pengtao Xie. Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
- EMNLP (T1)Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
- IEEE Transactions on Artificial IntelligenceLearning From Mistakes: A Multi-level Optimization Framework
- NeurIPS (T1)LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model
- TMLR (T1)TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining
202413 papers
- International Journal of Machine Learning and CyberneticsA Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
- NAACL (T1)AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
- ICML (T1)BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of the Segment Anything Model
- British Journal of OphthalmologyDetection of Glaucoma Progression on Longitudinal Series of En Face Macular Optical Coherence Tomography Angiography Images with a Deep Learning Model
- JAMA Network OpenDiagnosing Solid Lesions in the Pancreas with Multimodal Artificial Intelligence: A Randomized Crossover Trial
- NAACL (T1)Generalizable and Stable Finetuning of Large Language Models on Low-Resource Texts
- Scientific ReportsImproving Image Classification of Gastrointestinal Endoscopy Using Curriculum Self-Supervised Learning
- ICML (T1)Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
- NeurIPS (T1)Nguyen, Mathias Niepert. Accelerating Transformers with Spectrum-Preserving Token Merging
- ICML (T1)Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
- TACL (T1)Transfer Learning Based on Multi-level Optimization
- TMLR (T1)Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation
202311 papers
- ICLR (T1)Betty: An Automatic Differentiation Library for Multilevel Optimization
- ICML (T1)Fair and Accurate Decision Making through Group-Aware Learning
- Scientific Report, Nature PortfolioImprove the Performance of CT-Based Pneumonia Classification via Source Data Reweighting
- ICLR (T1)Improving Differentiable Neural Architecture Search by Encouraging Transferability
- Scientific ReportsInterpretable Unsupervised Learning Enables Accurate Clustering with High-Throughput Imaging Flow Cytometry
- AAAI (T1)Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
- ICML (T1)Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
- NeurIPS (T1)Making Scalable Meta Learning Practical
- NeurIPS (T1)Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Mathias Niepert, Daniel Sonntag. LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
- ICML (T1)Skillearn: Develop Machine Learning Training Strategies by Drawing Inspirations from Human Learning Skills
- TWEBType Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Where alumni went14 listed, 9% to industry
Industry 1Academia 10
Most often to
- Oracle AI
Also to
- Carnegie Mellon University
- UC San Diego
- Georgia Tech
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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- Single round
- Opens
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- GRE
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- English
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Not yet confirmed for this intake.
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