← Authors

Pengtao Xie

47 papers · 2013–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (87) 🌍 Conference Polyglot (12) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (187) ⚑ Prolific Year (5) ❓ The Questioner πŸ’Ž Century Club (47) πŸ”₯ Unstoppable (11)

Conferences

ICML (12) ACL (6) NIPS (5) AAAI (4) NAACL (4) EMNLP (3) ICLR (3) IJCAI (3) CVPR (2) IJCNLP (2) MLHC (2) ICCV (1)

Top co-authors

Eric Xing (15) Eric P. Xing (8) Youwei Liang (5) Sai Ashish Somayajula (5) Xuehai He (4) Yichen Zhang (4) Ramtin Hosseini (4) Ruiyi Zhang (4) Li Zhang (4) Zeqian Ju (3)

Keywords

neural architecture search (7) multi-task learning (6) self-supervised learning (5) transfer learning (5) domain adaptation (4) generalization error (3) medical imaging (3) contrastive learning (3) latent space model (2) neural network optimization (2) dialog generation (2) question answering (2) reinforcement learning (2) attention mechanism (2) multi-label classification (2) graph classification (2) representation learning (2) visual question answering (2) meta learning (2) icd coding (2)

Papers

Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs EMNLP 2025
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning EMNLP 2025
Defense against Prompt Injection Attacks via Mixture of Encodings NAACL 2025
Accelerating Transformers with Spectrum-Preserving Token Merging NIPS 2024
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models ICML 2024
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation ICML 2024
Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification ICML 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning NAACL 2024
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts NAACL 2024
Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques ICML 2023
Making Scalable Meta Learning Practical NIPS 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NIPS 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering AAAI 2023
Improving Differentiable Neural Architecture Search by Encouraging Transferability ICLR 2023
Betty: An Automatic Differentiation Library for Multilevel Optimization ICLR 2023
Fair and Accurate Decision Making through Group-Aware Learning ICML 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction ICML 2023
Graph Neural Architecture Search Under Distribution Shifts ICML 2022
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search CVPR 2022
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning ACL 2022
Learning from Mistakes – a Framework for Neural Architecture Search AAAI 2022
EViT: Expediting Vision Transformers via Token Reorganizations ICLR 2022
Saliency-Aware Neural Architecture Search NIPS 2022
Towards Visual Question Answering on Pathology Images IJCNLP 2021
Towards Visual Question Answering on Pathology Images ACL 2021
On the Generation of Medical Dialogs for COVID-19 IJCNLP 2021
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021
Contrastive Self-supervised Learning for Graph Classification AAAI 2021
On the Generation of Medical Dialogs for COVID-19 ACL 2021
DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021
MedDialog: Large-scale Medical Dialogue Datasets EMNLP 2020
Generalized Zero-Shot Text Classification for ICD Coding IJCAI 2020
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering NIPS 2019
Multimodal Machine Learning for Automated ICD Coding MLHC 2019
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition MLHC 2018
On the Automatic Generation of Medical Imaging Reports ACL 2018
A Neural Architecture for Automated ICD Coding ACL 2018
Nonoverlap-Promoting Variable Selection ICML 2018
Learning Latent Space Models with Angular Constraints ICML 2017
Deep Determinantal Point Process for Large-Scale Multi-Label Classification ICCV 2017
A Constituent-Centric Neural Architecture for Reading Comprehension ACL 2017
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017
Improving the Generalization Performance of Multi-class SVM via Angular Regularization IJCAI 2017
Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016
Incorporating Word Correlation Knowledge into Topic Modeling NAACL 2015
Multi-Modal Distance Metric Learning IJCAI 2013