Pengtao Xie

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 128

Top Venues

CoRR

ICML

AAAI

Trans. Assoc. Comput. Linguistics

Publications

Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. CoRR (2024)
Rushi Qiang, Ruiyi Zhang, Pengtao Xie
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models. CoRR (2024)
Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM. CoRR (2024)
Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization. CoRR (2024)
Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert
Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR (2024)
Pengtao Xie, Xingchen Zhao, Xuehai He
Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. Trans. Assoc. Comput. Linguistics 12 (2024)
Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. CoRR (2024)
Sai Ashish Somayajula, Youwei Liang, Abhishek Singh, Li Zhang, Pengtao Xie
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. CoRR (2024)
Sai Ashish Somayajula, Youwei Liang, Li Zhang, Abhishek Singh, Pengtao Xie
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. NAACL-HLT (2024)
Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. NAACL-HLT (2024)
Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing
Betty: An Automatic Differentiation Library for Multilevel Optimization. ICLR (2023)
Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Pengtao Xie, Hugh Leather, Yuandong Tian
Learning to compile smartly for program size reduction. CoRR (2023)
Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS (2023)
Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie
Fair and Accurate Decision Making through Group-Aware Learning. ICML (2023)
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing
Making Scalable Meta Learning Practical. CoRR (2023)
Parth Sheth, Pengtao Xie
Improving Differentiable Neural Architecture Search by Encouraging Transferability. ICLR (2023)
Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan N. Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR (2023)
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web 17 (3) (2023)
Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. CoRR (2023)
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing
Making Scalable Meta Learning Practical. NeurIPS (2023)
Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI (2023)
Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. ICML (2023)
Luntian Mou, Chao Zhou, Pengtao Xie, Pengfei Zhao, Ramesh C. Jain, Wen Gao, Baocai Yin
Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion. IEEE Trans. Multim. 25 (2023)
Pengtao Xie
Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques. ICML (2023)
Youwei Liang, Ruiyi Zhang, Li Zhang, Pengtao Xie
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs. CoRR (2023)
Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. CoRR (2023)
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR (2023)
Sai Ashish Somayajula, Linfeng Song, Pengtao Xie
A Multi-Level Optimization Framework for End-to-End Text Augmentation. Trans. Assoc. Comput. Linguistics 10 (2022)
Pengtao Xie, Xuefeng Du
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. CVPR (2022)
Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie
Learning from Mistakes - a Framework for Neural Architecture Search. AAAI (2022)
Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR (2022)
Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing
Betty: An Automatic Differentiation Library for Multilevel Optimization. CoRR (2022)
Wenwu Zhu, Xin Wang, Pengtao Xie
Self-directed machine learning. AI Open 3 (2022)
Ramtin Hosseini, Pengtao Xie
Image Understanding by Captioning with Differentiable Architecture Search. ACM Multimedia (2022)
Hongchao Fang, Pengtao Xie
An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding. Trans. Assoc. Comput. Linguistics 10 (2022)
Wenwu Zhu, Xin Wang, Pengtao Xie
Self-directed Machine Learning. CoRR (2022)
Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie
EViT: Expediting Vision Transformers via Token Reorganizations. ICLR (2022)
Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu
Graph Neural Architecture Search Under Distribution Shifts. ICML (2022)
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR (2022)
Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. ACL (Findings) (2022)
Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. CoRR (2022)
Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR (2022)
Ramtin Hosseini, Pengtao Xie
Saliency-Aware Neural Architecture Search. NeurIPS (2022)
Meng Zhou, Zechen Li, Pengtao Xie
Self-supervised Regularization for Text Classification. Trans. Assoc. Comput. Linguistics 9 (2021)
Jay Gala, Pengtao Xie
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search. CoRR (2021)
Jiayuan Huang, Yangkai Du, Shuting Tao, Kun Xu, Pengtao Xie
Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion. Trans. Assoc. Comput. Linguistics 9 (2021)
Shentong Mo, Pengtao Xie
Learning by Examples Based on Multi-level Optimization. CoRR (2021)
Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
Towards Visual Question Answering on Pathology Images. ACL/IJCNLP (2) (2021)
Meng Zhou, Zechen Li, Pengtao Xie
Self-supervised Regularization for Text Classification. CoRR (2021)
Parth Sheth, Yueyu Jiang, Pengtao Xie
Learning by Teaching, with Application to Neural Architecture Search. CoRR (2021)
Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie
Improving Differentiable Architecture Search with a Generative Model. CoRR (2021)
Ramtin Hosseini, Xingyi Yang, Pengtao Xie
DSRNA: Differentiable Search of Robust Neural Architectures. CVPR (2021)
Jiaqi Zeng, Pengtao Xie
Contrastive Self-supervised Learning for Graph Classification. AAAI (2021)
Seo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu, Eric P. Xing
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. AAAI (2021)
Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric P. Xing, Pengtao Xie
On the Generation of Medical Dialogs for COVID-19. ACL/IJCNLP (2) (2021)
Hao Ban, Pengtao Xie
Interleaving Learning, with Application to Neural Architecture Search. CoRR (2021)
Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie
Learning from Mistakes - A Framework for Neural Architecture Search. CoRR (2021)
Hongbo Zou, Guangjing Chen, Pengtao Xie, Sean Chen, Yongtian He, Hochih Huang, Zheng Nie, Hongbao Zhang, Tristan Bala, Kazi Tulip, Yuqi Wang, Shenlin Qin, Eric P. Xing
Validate and Enable Machine Learning in Industrial AI. CoRR (2020)
Xingchen Zhao, Pengtao Xie
Learning by Ignoring. CoRR (2020)
Jinyu Zhao, Yichen Zhang, Xuehai He, Pengtao Xie
COVID-CT-Dataset: A CT Scan Dataset about COVID-19. CoRR (2020)
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
On the Generation of Medical Dialogues for COVID-19. CoRR (2020)
Xingyi Yang, Nandiraju Gireesh, Eric P. Xing, Pengtao Xie
XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports. CoRR (2020)
Yue Yang, Pengtao Xie
Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications. CoRR (2020)
Xuefeng Du, Pengtao Xie
Learning by Passing Tests, with Application to Neural Architecture Search. CoRR (2020)
Yuxiao Liang, Pengtao Xie
Identifying Radiological Findings Related to COVID-19 from Medical Literature. CoRR (2020)
Xuehai He, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
PathVQA: 30000+ Questions for Medical Visual Question Answering. CoRR (2020)
Ramtin Hosseini, Xingyi Yang, Pengtao Xie
DSRNA: Differentiable Search of Robust Neural Architectures. CoRR (2020)
Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, Pengtao Xie
MedDialog: Large-scale Medical Dialogue Datasets. EMNLP (1) (2020)
Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
Pathological Visual Question Answering. CoRR (2020)
Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie
Differentially-private Federated Neural Architecture Search. CoRR (2020)
Pengtao Xie, Xuefeng Du, Hao Ban
Skillearn: Machine Learning Inspired by Humans' Learning Skills. CoRR (2020)
Xuefeng Du, Pengtao Xie
Small-Group Learning, with Application to Neural Architecture Search. CoRR (2020)
Jiaqi Zeng, Pengtao Xie
Contrastive Self-supervised Learning for Graph Classification. CoRR (2020)
Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. CoRR (2020)
Ruisi Zhang, Luntian Mou, Pengtao Xie
TreeGAN: Incorporating Class Hierarchy into Image Generation. CoRR (2020)
Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie
MedDialog: A Large-scale Medical Dialogue Dataset. CoRR (2020)
Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing
Generalized Zero-Shot Text Classification for ICD Coding. IJCAI (2020)
Hongchao Fang, Pengtao Xie
CERT: Contrastive Self-supervised Learning for Language Understanding. CoRR (2020)
Ramtin Hosseini, Pengtao Xie
Learning by Self-Explanation, with Application to Neural Architecture Search. CoRR (2020)
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI (2020)
Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI (2019)
Seo-Jin Bang, Pengtao Xie, Wei Wu, Eric P. Xing
Explaining a black-box using Deep Variational Information Bottleneck Approach. CoRR (2019)
Biwei Huang, Kun Zhang, Pengtao Xie, Mingming Gong, Eric P. Xing, Clark Glymour
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering. NeurIPS (2019)
Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing
Generalized Zero-shot ICD Coding. CoRR (2019)
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR (2019)
Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing
Multimodal Machine Learning for Automated ICD Coding. MLHC (2019)
Baoyu Jing, Pengtao Xie, Eric P. Xing
On the Automatic Generation of Medical Imaging Reports. ACL (1) (2018)
Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing
A Neural Architecture for Automated ICD Coding. ACL (1) (2018)
Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. CoRR (2018)
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. MLHC (2018)
Pengtao Xie, Hongbao Zhang, Yichen Zhu, Eric P. Xing
Nonoverlap-Promoting Variable Selection. ICML (2018)
Pengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric P. Xing
Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. SoCC (2018)
Xiangan Liu, Keyang Xu, Pengtao Xie, Eric P. Xing
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. CoRR (2018)
Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. ICML (2018)
Hongbao Zhang, Pengtao Xie, Eric P. Xing
Missing Value Imputation Based on Deep Generative Models. CoRR (2018)
Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing
Multimodal Machine Learning for Automated ICD Coding. CoRR (2018)
Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures. CoRR (2018)
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing
Towards Automated ICD Coding Using Deep Learning. CoRR (2017)
Pengtao Xie, Hongbao Zhang, Eric P. Xing
Learning Less-Overlapping Representations. CoRR (2017)
Pengtao Xie, Jun Zhu, Eric P. Xing
Diversity-Promoting Bayesian Learning of Latent Variable Models. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pengtao Xie