Multi-Modal Distance Metric Learning. - Pengtao Xie; Eric P. Xing (IJCAI, 2013)

Integrating Document Clustering and Topic Modeling. - Pengtao Xie; Eric P. Xing (UAI, 2013)

Crypto-Nets: Neural Networks over Encrypted Data. - Pengtao Xie; Misha Bilenko; Tom Finley; Ran Gilad-Bachrach; Kristin E. Lauter; Michael Naehrig (CoRR, 2014)

Large Scale Distributed Multiclass Logistic Regression. - Pengtao Xie; Jin Kyu Kim; Eric P. Xing (CoRR, 2014)

CryptGraph: Privacy Preserving Graph Analytics on Encrypted Graph. - Pengtao Xie; Eric P. Xing (CoRR, 2014)

Large Scale Distributed Distance Metric Learning. - Pengtao Xie; Eric P. Xing (CoRR, 2014)

Cauchy Principal Component Analysis. - Pengtao Xie; Eric P. Xing (CoRR, 2014)

Mining User Interests from Personal Photos. - Pengtao Xie; Yulong Pei; Yuan Xie; Eric P. Xing (AAAI, 2015)

Integrating Image Clustering and Codebook Learning. - Pengtao Xie; Eric P. Xing (AAAI, 2015)

Diversifying Restricted Boltzmann Machine for Document Modeling. - Pengtao Xie; Yuntian Deng; Eric P. Xing (KDD, 2015)

Incorporating Word Correlation Knowledge into Topic Modeling. - Pengtao Xie; Diyi Yang; Eric P. Xing (HLT-NAACL, 2015)

Learning Compact and Effective Distance Metrics with Diversity Regularization. - Pengtao Xie (ECML/PKDD (1), 2015)

On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization. - Pengtao Xie; Yuntian Deng; Eric P. Xing (CoRR, 2015)

Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization. - Pengtao Xie; Yuntian Deng; Eric P. Xing (CoRR, 2015)

Distributed Machine Learning via Sufficient Factor Broadcasting. - Pengtao Xie; Jin Kyu Kim; Yi Zhou 017; Qirong Ho; Abhimanu Kumar; Yaoliang Yu; Eric P. Xing (CoRR, 2015)

Strategies and Principles of Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Pengtao Xie; Wei Dai 003 (CoRR, 2015)

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. - Hao Zhang 025; Zhiting Hu; Jinliang Wei; Pengtao Xie; Gunhee Kim; Qirong Ho; Eric P. Xing (CoRR, 2015)

Petuum: A New Platform for Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Wei Dai 003; Jin Kyu Kim; Jinliang Wei; Seunghak Lee; Xun Zheng; Pengtao Xie; Abhimanu Kumar; Yaoliang Yu (IEEE Trans. Big Data, 2015)

Diversity-Promoting Bayesian Learning of Latent Variable Models. - Pengtao Xie; Jun Zhu 001; Eric P. Xing (ICML, 2016)

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. - Pengtao Xie; Jin Kyu Kim; Yi Zhou 017; Qirong Ho; Abhimanu Kumar; Yaoliang Yu; Eric P. Xing (UAI, 2016)

A Constituent-Centric Neural Architecture for Reading Comprehension. - Pengtao Xie; Eric P. Xing (ACL (1), 2017)

Deep Determinantal Point Process for Large-Scale Multi-label Classification. - Pengtao Xie; Ruslan Salakhutdinov; Luntian Mou; Eric P. Xing (ICCV, 2017)

Learning Latent Space Models with Angular Constraints. - Pengtao Xie; Yuntian Deng; Yi Zhou 017; Abhimanu Kumar; Yaoliang Yu; James Zou 001; Eric P. Xing (ICML, 2017)

Uncorrelation and Evenness: a New Diversity-Promoting Regularizer. - Pengtao Xie; Aarti Singh; Eric P. Xing (ICML, 2017)

Improving the Generalization Performance of Multi-class SVM via Angular Regularization. - Jianxin Li 002; Haoyi Zhou; Pengtao Xie; Yingchun Zhang (IJCAI, 2017)

Near-Orthogonality Regularization in Kernel Methods. - Pengtao Xie; Barnabás Póczos; Eric P. Xing (UAI, 2017)

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. - Hao Zhang 025; Zeyu Zheng; Shizhen Xu; Wei Dai 003; Qirong Ho; Xiaodan Liang; Zhiting Hu; Jinliang Wei; Pengtao Xie; Eric P. Xing (USENIX ATC, 2017)

Predicting Discharge Medications at Admission Time Based on Deep Learning. - Yuan Yang; Pengtao Xie; Xin Gao 001; Carol Cheng; Christy Y. Li; Hongbao Zhang; Eric P. Xing (CoRR, 2017)

Towards Automated ICD Coding Using Deep Learning. - Haoran Shi 001; Pengtao Xie; Zhiting Hu; Ming Zhang 004; Eric P. Xing (CoRR, 2017)

Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning. - Shiyue Zhang 001; Pengtao Xie; Dong Wang 013; Eric P. Xing (CoRR, 2017)

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition. - Devendra Singh Sachan; Pengtao Xie; Eric P. Xing (CoRR, 2017)

Stacked Kernel Network. - Shuai Zhang 026; Jianxin Li 002; Pengtao Xie; Yingchun Zhang; Minglai Shao 001; Haoyi Zhou; Mengyi Yan (CoRR, 2017)

Learning Less-Overlapping Representations. - Pengtao Xie; Hongbao Zhang; Eric P. Xing (CoRR, 2017)

Convolutional Neural Networks for Medical Diagnosis from Admission Notes. - Christy Y. Li; Dimitris Konomis; Graham Neubig; Pengtao Xie; Carol Cheng; Eric P. Xing (CoRR, 2017)

A Neural Architecture for Automated ICD Coding. - Pengtao Xie; Haoran Shi 001; Ming Zhang 004; Eric P. Xing (ACL (1), 2018)

On the Automatic Generation of Medical Imaging Reports. - Baoyu Jing; Pengtao Xie; Eric P. Xing (ACL (1), 2018)

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. - Pengtao Xie; Jin Kyu Kim; Qirong Ho; Yaoliang Yu; Eric P. Xing (SoCC, 2018)

Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. - Pengtao Xie; Wei Wu 023; Yichen Zhu; Eric P. Xing (ICML, 2018)

Nonoverlap-Promoting Variable Selection. - Pengtao Xie; Hongbao Zhang; Yichen Zhu; Eric P. Xing (ICML, 2018)

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. - Devendra Singh Sachan; Pengtao Xie; Mrinmaya Sachan; Eric P. Xing (MLHC, 2018)

Missing Value Imputation Based on Deep Generative Models. - Hongbao Zhang; Pengtao Xie; Eric P. Xing (CoRR, 2018)

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures. - Hongyang Zhang 001; Susu Xu; Jiantao Jiao; Pengtao Xie; Ruslan Salakhutdinov; Eric P. Xing (CoRR, 2018)

Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. - Xiangan Liu; Keyang Xu; Pengtao Xie; Eric P. Xing (CoRR, 2018)

Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. - Zeya Wang; Nanqing Dong; Sean D. Rosario; Min Xu 009; Pengtao Xie; Eric P. Xing (ISBI, 2019)

Multimodal Machine Learning for Automated ICD Coding. - Keyang Xu; Mike Lam; Jingzhi Pang; Xin Gao 001; Charlotte Band; Piyush Mathur; Frank Papay; Ashish K. Khanna; Jacek B. Cywinski; Kamal Maheshwari; Pengtao Xie; Eric P. Xing (MLHC, 2019)

Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering. - Biwei Huang; Kun Zhang 001; Pengtao Xie; Mingming Gong; Eric P. Xing; Clark Glymour (NeurIPS, 2019)

Explaining a black-box using Deep Variational Information Bottleneck Approach. - Seo-Jin Bang; Pengtao Xie; Wei Wu 023; Eric P. Xing (CoRR, 2019)

Generalized Zero-shot ICD Coding. - Congzheng Song; Shanghang Zhang; Najmeh Sadoughi; Pengtao Xie; Eric P. Xing (CoRR, 2019)

Diversity-Promoting and Large-Scale Machine Learning for Healthcare. - Pengtao Xie (2019)

Adversarial Domain Adaptation Being Aware of Class Relationships. - Zeya Wang; Baoyu Jing; Yang Ni; Nanqing Dong; Pengtao Xie; Eric P. Xing (ECAI, 2020)

MedDialog: Large-scale Medical Dialogue Datasets. - Guangtao Zeng; Wenmian Yang; Zeqian Ju; Yue Yang; Sicheng Wang 001; Ruisi Zhang; Meng Zhou; Jiaqi Zeng; Xiangyu Dong 002; Ruoyu Zhang; Hongchao Fang; Penghui Zhu; et al. (EMNLP (1), 2020)

Generalized Zero-Shot Text Classification for ICD Coding. - Congzheng Song; Shanghang Zhang; Najmeh Sadoughi; Pengtao Xie; Eric P. Xing (IJCAI, 2020)

PathVQA: 30000+ Questions for Medical Visual Question Answering. - Xuehai He; Yichen Zhang; Luntian Mou; Eric P. Xing; Pengtao Xie (CoRR, 2020)

COVID-CT-Dataset: A CT Scan Dataset about COVID-19. - Jinyu Zhao; Yichen Zhang; Xuehai He; Pengtao Xie (CoRR, 2020)

Identifying Radiological Findings Related to COVID-19 from Medical Literature. - Yuxiao Liang; Pengtao Xie (CoRR, 2020)

MedDialog: A Large-scale Medical Dialogue Dataset. - Shu Chen; Zeqian Ju; Xiangyu Dong 002; Hongchao Fang; Sicheng Wang 001; Yue Yang; Jiaqi Zeng; Ruisi Zhang; Ruoyu Zhang; Meng Zhou; Penghui Zhu; Pengtao Xie (CoRR, 2020)

On the Generation of Medical Dialogues for COVID-19. - Wenmian Yang; Guangtao Zeng; Bowen Tan; Zeqian Ju; Subrato Chakravorty; Xuehai He; Shu Chen; Xingyi Yang; Qingyang Wu; Zhou Yu; Eric P. Xing; Pengtao Xie (CoRR, 2020)

CERT: Contrastive Self-supervised Learning for Language Understanding. - Hongchao Fang; Sicheng Wang 001; Meng Zhou; Jiayuan Ding; Pengtao Xie (CoRR, 2020)

XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports. - Xingyi Yang; Nandiraju Gireesh; Eric P. Xing; Pengtao Xie (CoRR, 2020)

Differentially-private Federated Neural Architecture Search. - Ishika Singh; Haoyi Zhou; Kunlin Yang; Meng Ding; Bill Lin 001; Pengtao Xie (CoRR, 2020)

Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. - Xingyi Yang; Xuehai He; Yuxiao Liang; Yue Yang; Shanghang Zhang; Pengtao Xie (CoRR, 2020)

TreeGAN: Incorporating Class Hierarchy into Image Generation. - Ruisi Zhang; Luntian Mou; Pengtao Xie (CoRR, 2020)

Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications. - Yue Yang; Pengtao Xie (CoRR, 2020)

Pathological Visual Question Answering. - Xuehai He; Zhuo Cai 001; Wenlan Wei; Yichen Zhang; Luntian Mou; Eric P. Xing; Pengtao Xie (CoRR, 2020)

Learning by Passing Tests, with Application to Neural Architecture Search. - Xuefeng Du; Pengtao Xie (CoRR, 2020)

Skillearn: Machine Learning Inspired by Humans' Learning Skills. - Pengtao Xie; Xuefeng Du; Hao Ban (CoRR, 2020)

Validate and Enable Machine Learning in Industrial AI. - Hongbo Zou; Guangjing Chen; Pengtao Xie; Sean Chen; Yongtian He; Hochih Huang; Zheng Nie; Hongbao Zhang; Tristan Bala; Kazi Tulip; Yuqi Wang; Shenlin Qin; et al. (CoRR, 2020)

Small-Group Learning, with Application to Neural Architecture Search. - Xuefeng Du; Pengtao Xie (CoRR, 2020)

Learning by Self-Explanation, with Application to Neural Architecture Search. - Ramtin Hosseini; Pengtao Xie (CoRR, 2020)

Learning by Ignoring. - Xingchen Zhao; Pengtao Xie (CoRR, 2020)

Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. - Seo-Jin Bang; Pengtao Xie; Heewook Lee; Wei Wu 023; Eric P. Xing (AAAI, 2021)

Contrastive Self-supervised Learning for Graph Classification. - Jiaqi Zeng; Pengtao Xie (AAAI, 2021)

Towards Visual Question Answering on Pathology Images. - Xuehai He; Zhuo Cai 001; Wenlan Wei; Yichen Zhang; Luntian Mou; Eric P. Xing; Pengtao Xie (ACL/IJCNLP (2), 2021)

On the Generation of Medical Dialogs for COVID-19. - Meng Zhou; Zechen Li 001; Bowen Tan; Guangtao Zeng; Wenmian Yang; Xuehai He; Zeqian Ju; Subrato Chakravorty; Shu Chen; Xingyi Yang; Yichen Zhang; Qingyang Wu; et al. (ACL/IJCNLP (2), 2021)

DSRNA: Differentiable Search of Robust Neural Architectures. - Ramtin Hosseini; Xingyi Yang; Pengtao Xie (CVPR, 2021)

Learning by Teaching, with Application to Neural Architecture Search. - Parth Sheth; Yueyu Jiang; Pengtao Xie (CoRR, 2021)

Interleaving Learning, with Application to Neural Architecture Search. - Hao Ban; Pengtao Xie (CoRR, 2021)

Learning by Examples Based on Multi-level Optimization. - Shentong Mo; Pengtao Xie (CoRR, 2021)

Improving Differentiable Architecture Search with a Generative Model. - Ruisi Zhang; Youwei Liang; Sai Ashish Somayajula; Pengtao Xie (CoRR, 2021)

Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search. - Jay Gala; Pengtao Xie (CoRR, 2021)

Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion. - Jiayuan Huang; Yangkai Du; Shuting Tao; Kun Xu; Pengtao Xie (Trans. Assoc. Comput. Linguistics, 2021)

Self-supervised Regularization for Text Classification. - Meng Zhou; Zechen Li 001; Pengtao Xie (Trans. Assoc. Comput. Linguistics, 2021)

Learning from Mistakes - a Framework for Neural Architecture Search. - Bhanu Garg; Li Zhang; Pradyumna Sridhara; Ramtin Hosseini; Eric P. Xing; Pengtao Xie (AAAI, 2022)

MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. - Yuren Mao; Zekai Wang; Weiwei Liu 003; Xuemin Lin 001; Pengtao Xie (ACL (Findings), 2022)

Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. - Pengtao Xie; Xuefeng Du (CVPR, 2022)

EViT: Expediting Vision Transformers via Token Reorganizations. - Youwei Liang; Chongjian Ge; Zhan Tong; Yibing Song; Jue Wang 001; Pengtao Xie (ICLR, 2022)

Graph Neural Architecture Search Under Distribution Shifts. - Yijian Qin; Xin Wang 019; Ziwei Zhang 001; Pengtao Xie; Wenwu Zhu 001 (ICML, 2022)

Image Understanding by Captioning with Differentiable Architecture Search. - Ramtin Hosseini; Pengtao Xie (ACM Multimedia, 2022)

Saliency-Aware Neural Architecture Search. - Ramtin Hosseini; Pengtao Xie (NeurIPS, 2022)

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. - Youwei Liang; Chongjian Ge; Zhan Tong; Yibing Song; Jue Wang 001; Pengtao Xie (CoRR, 2022)

DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. - Hasan Md Tusfiqur Alam; Duy M. H. Nguyen; Mai Thanh Nhat Truong; Triet A. Nguyen; Binh T. Nguyen 001; Michael Barz; Hans-Jürgen Profitlich; Ngoc T. T. Than; Ngan Le; Pengtao Xie; Daniel Sonntag (CoRR, 2022)

An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding. - Hongchao Fang; Pengtao Xie (Trans. Assoc. Comput. Linguistics, 2022)

A Multi-Level Optimization Framework for End-to-End Text Augmentation. - Sai Ashish Somayajula; Linfeng Song; Pengtao Xie (Trans. Assoc. Comput. Linguistics, 2022)

Self-directed machine learning. - Wenwu Zhu 001; Xin Wang 019; Pengtao Xie (AI Open, 2022)

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. - Duy M. H. Nguyen; Hoang Nguyen; Truong Thanh Nhat Mai; Tri Cao; Binh T. Nguyen 001; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag (AAAI, 2023)

Betty: An Automatic Differentiation Library for Multilevel Optimization. - Sang Keun Choe; Willie Neiswanger; Pengtao Xie; Eric P. Xing (ICLR, 2023)

Improving Differentiable Neural Architecture Search by Encouraging Transferability. - Parth Sheth; Pengtao Xie (ICLR, 2023)

Fair and Accurate Decision Making through Group-Aware Learning. - Ramtin Hosseini; Li Zhang; Bhanu Garg; Pengtao Xie (ICML, 2023)

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. - Youwei Liang; Kevin Stone; Ali Shameli; Chris Cummins; Mostafa Elhoushi; Jiadong Guo; Benoit Steiner; Xiaomeng Yang; Pengtao Xie; Hugh James Leather; Yuandong Tian (ICML, 2023)

Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques. - Pengtao Xie (ICML, 2023)

Making Scalable Meta Learning Practical. - Sang Keun Choe; Sanket Vaibhav Mehta; Hwijeen Ahn; Willie Neiswanger; Pengtao Xie; Emma Strubell; Eric P. Xing (NeurIPS, 2023)

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. - Duy M. H. Nguyen; Hoang Nguyen; Nghiem Tuong Diep; Tan Ngoc Pham; Tri Cao; Binh T. Nguyen 001; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert (NeurIPS, 2023)

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. - Ce Zhou; Qian Li 033; Chen Li 046; Jun Yu; Yixin Liu 002; Guangjing Wang 001; Kai Zhang 039; Cheng Ji 001; Qiben Yan; Lifang He 001; Hao Peng 001; Jianxin Li 002; et al. (CoRR, 2023)

Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. - Ramtin Hosseini; Li Zhang; Bhanu Garg; Pengtao Xie (CoRR, 2023)

DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs. - Youwei Liang; Ruiyi Zhang; Li Zhang; Pengtao Xie (CoRR, 2023)

On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. - Duy Minh Ho Nguyen; Tan Ngoc Pham; Nghiem Tuong Diep; Nghi Quoc Phan; Quang Pham; Vinh Tong; Binh T. Nguyen 001; Ngan Hoang Le; Nhat Ho; Pengtao Xie; Daniel Sonntag; Mathias Niepert (CoRR, 2023)

Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion. - Luntian Mou; Chao Zhou; Pengtao Xie; Pengfei Zhao; Ramesh C. Jain; Wen Gao 001; Baocai Yin (IEEE Trans. Multim., 2023)

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. - Qian Li 033; Jianxin Li 002; Lihong Wang; Cheng Ji 001; Yiming Hei; Jiawei Sheng; Qingyun Sun; Shan Xue 001; Pengtao Xie (ACM Trans. Web, 2023)

Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification. - Jay Gala; Pengtao Xie (ICML, 2024)

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. - Mingjia Huo; Sai Ashish Somayajula; Youwei Liang; Ruisi Zhang; Farinaz Koushanfar; Pengtao Xie (ICML, 2024)

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation. - Li Zhang; Youwei Liang; Ruiyi Zhang; Amirhosein Javadi; Pengtao Xie (ICML, 2024)

Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. - Sai Ashish Somayajula; Youwei Liang; Li Zhang; Abhishek Singh; Pengtao Xie (NAACL-HLT, 2024)

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. - Ruiyi Zhang; Rushi Qiang; Sai Ashish Somayajula; Pengtao Xie (NAACL-HLT, 2024)

Accelerating Transformers with Spectrum-Preserving Token Merging. - Chau Tran; Duy M. H. Nguyen; Manh-Duy Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Y. Zou; Binh Nguyen; Mathias Niepert (NeurIPS, 2024)

BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM. - Li Zhang; Youwei Liang; Ruiyi Zhang; Amirhosein Javadi; Pengtao Xie (CoRR, 2024)

BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models. - Rushi Qiang; Ruiyi Zhang; Pengtao Xie (CoRR, 2024)

Accelerating Transformers with Spectrum-Preserving Token Merging. - Hoai-Chau Tran; Duy M. H. Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Y. Zou; Binh T. Nguyen 001; Mathias Niepert (CoRR, 2024)

Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes. - Li Zhang 039; Basu Jindal; Ahmed Alaa; Robert Weinreb; David Wilson; Eran Segal; James Zou 001; Pengtao Xie (CoRR, 2024)

LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. - Duy M. H. Nguyen; Nghiem T. Diep; Trung Q. Nguyen; Hoang-Bao Le; Tai Nguyen 008; Tien Nguyen; TrungTin Nguyen; Nhat Ho; Pengtao Xie; Roger Wattenhofer; James Zhou; Daniel Sonntag; et al. (CoRR, 2024)

AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model. - Yuchen Li; Li Zhang; Youwei Liang; Pengtao Xie (CoRR, 2024)

Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning. - Bokai Hu; Sai Ashish Somayajula; Xin Pan; Zihan Huang; Pengtao Xie (CoRR, 2024)

Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. - Pengtao Xie; Xingchen Zhao; Xuehai He (Trans. Assoc. Comput. Linguistics, 2024)

Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation. - Yiheng He; Ruiyi Zhang; Sai Ashish Somayajula; Pengtao Xie (Trans. Mach. Learn. Res., 2024)

Defense against Prompt Injection Attacks via Mixture of Encodings. - Ruiyi Zhang; David Sullivan; Kyle Jackson; Pengtao Xie; Mei Chen (NAACL (Short Papers), 2025)

Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization. - Han Guo; Ramtin Hosseini; Ruiyi Zhang; Sai Ashish Somayajula; Ranak Roy Chowdhury; Rajesh K. Gupta 001; Pengtao Xie (Trans. Mach. Learn. Res., 2025)

BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation. - Peijia Qin; Ruiyi Zhang; Pengtao Xie (Trans. Mach. Learn. Res., 2025)

TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining. - Ruiyi Zhang; Sai Ashish Somayajula; Pengtao Xie (Trans. Mach. Learn. Res., 2025)

DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning. - Qi Cao; Ruiyi Wang; Ruiyi Zhang; Sai Ashish Somayajula; Pengtao Xie (CoRR, 2025)

Learning From Mistakes: A Multilevel Optimization Framework. - Li Zhang; Bhanu Garg; Pradyumna Sridhara; Ramtin Hosseini; Pengtao Xie (IEEE Trans. Artif. Intell., 2025)