Pengtao Xie - RankMe

171 papers A* 36A 4Journal 112Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Am-sam: a spatially-aware prompt learning and mask calibration framework for few-shot semantic segmentation. Int. J. Mach. Learn. Cybern. Yuchen Li, Li Zhang, Youwei Liang, Pengtao Xie
2026	J	`jnl`	BLO-Inst: Bi-Level Optimization Based Alignment of YOLO and SAM for Robust Instance Segmentation. CoRR Li Zhang, Pengtao Xie
2026	J	`jnl`	DAJ: Data-Reweighted LLM Judge for Test-Time Scaling in Code Generation. CoRR Peijia Qin, Ruiyi Zhang, Qi Cao, Pengtao Xie
2026	J	`jnl`	FunPRM: Function-as-Step Process Reward Model with Meta Reward Correction for Code Generation. CoRR Ruiyi Zhang, Peijia Qin, Qi Cao, Eric Xue, Pengtao Xie
2026	J	`jnl`	Models Under SCOPE: Scalable and Controllable Routing via Pre-hoc Reasoning. CoRR Qi Cao, Shuhao Zhang, Ruizhe Zhou, Ruiyi Zhang, Peijia Qin, Pengtao Xie
2026	J	`jnl`	StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert
2026	J	`jnl`	TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery. CoRR Li Zhang, Shruti Agarwal, John P. Collomosse, Pengtao Xie, Vishal Asnani
2025	J	`jnl`	A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT. Int. J. Mach. Learn. Cybern. 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
2025	J	`jnl`	BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation. Trans. Mach. Learn. Res. Peijia Qin, Ruiyi Zhang, Pengtao Xie
2025	A*	`conf`	Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs. EMNLP Xin Gao, Ruiyi Zhang, Daniel Du, Saurabh Mahindre, Sai Ashish Somayajula, Pengtao Xie
2025	J	`jnl`	Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs. CoRR Xin Gao, Ruiyi Zhang, Daniel Du, Saurabh Mahindre, Sai Ashish Somayajula, Pengtao Xie
2025	—	`conf`	Defense against Prompt Injection Attacks via Mixture of Encodings. NAACL (Short Papers) Ruiyi Zhang, David Sullivan, Kyle Jackson, Pengtao Xie, Mei Chen
2025	J	`jnl`	Defense against Prompt Injection Attacks via Mixture of Encodings. CoRR Ruiyi Zhang, David Sullivan, Kyle Jackson, Pengtao Xie, Mei Chen
2025	J	`jnl`	Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization. Trans. Mach. Learn. Res. Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie
2025	J	`jnl`	DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training. CoRR Qi Cao, Pengtao Xie
2025	J	`jnl`	DreamPRM-Code: Function-as-Step Process Reward Model with Label Correction for LLM Coding. CoRR Ruiyi Zhang, Peijia Qin, Qi Cao, Pengtao Xie
2025	J	`jnl`	DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning. CoRR Qi Cao, Ruiyi Wang, Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie
2025	J	`jnl`	FlashVLM: Text-Guided Visual Token Selection for Large Multimodal Models. CoRR Kaitong Cai, Jusheng Zhang, Jing Yang, Yijia Fan, Pengtao Xie, Jian Wang, Keze Wang
2025	—	`conf`	Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning. EMNLP (Findings) Sai Ashish Somayajula, Bokai Hu, Qi Cao, Xin Pan, Pengtao Xie
2025	J	`jnl`	Learning From Mistakes: A Multilevel Optimization Framework. IEEE Trans. Artif. Intell. Li Zhang, Bhanu Garg, Pradyumna Sridhara, Ramtin Hosseini, Pengtao Xie
2025	J	`jnl`	S-Chain: Structured Visual Chain-of-Thought For Medicine. CoRR Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem Tuong Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen
2025	J	`jnl`	Steganographic Backdoor Attacks in NLP: Ultra-Low Poisoning and Defense Evasion. CoRR Eric Xue, Ruiyi Zhang, Zijun Zhang, Pengtao Xie
2025	J	`jnl`	TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining. Trans. Mach. Learn. Res. Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie
2024	J	`jnl`	AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model. CoRR Yuchen Li, Li Zhang, Youwei Liang, Pengtao Xie
2024	A*	`conf`	Accelerating Transformers with Spectrum-Preserving Token Merging. NeurIPS Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert
2024	J	`jnl`	Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR 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
2024	—	`conf`	AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. NAACL-HLT Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie
2024	J	`jnl`	AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. CoRR Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie
2024	A*	`conf`	BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation. ICML Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie
2024	J	`jnl`	BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM. CoRR Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie
2024	J	`jnl`	BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation. CoRR Peijia Qin, Ruiyi Zhang, Pengtao Xie
2024	J	`jnl`	BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models. CoRR Rushi Qiang, Ruiyi Zhang, Pengtao Xie
2024	J	`jnl`	Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization. CoRR Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie
2024	—	`conf`	Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. NAACL-HLT Sai Ashish Somayajula, Youwei Liang, Li Zhang, Abhishek Singh, Pengtao Xie
2024	J	`jnl`	Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. CoRR Sai Ashish Somayajula, Youwei Liang, Abhishek Singh, Li Zhang, Pengtao Xie
2024	J	`jnl`	Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes. CoRR Li Zhang, Basu Jindal, Ahmed Alaa, Robert Weinreb, David Wilson, Eran Segal, James Zou, Pengtao Xie
2024	J	`jnl`	Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning. CoRR Bokai Hu, Sai Ashish Somayajula, Xin Pan, Zihan Huang, Pengtao Xie
2024	A*	`conf`	Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification. ICML Jay Gala, Pengtao Xie
2024	J	`jnl`	LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. CoRR Duy M. H. Nguyen, Nghiem Tuong Diep, Trung Q. Nguyen, Hoang-Bao Le, Tai Nguyen, Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, James Zhou, Daniel Sonntag, Mathias Niepert
2024	J	`jnl`	Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. Trans. Assoc. Comput. Linguistics Pengtao Xie, Xingchen Zhao, Xuehai He
2024	J	`jnl`	TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining. CoRR Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie
2024	A*	`conf`	Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. ICML Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie
2024	J	`jnl`	Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. CoRR Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie
2024	J	`jnl`	Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation. Trans. Mach. Learn. Res. Yiheng He, Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie
2023	J	`jnl`	A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR 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
2023	A*	`conf`	Betty: An Automatic Differentiation Library for Multilevel Optimization. ICLR Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing
2023	J	`jnl`	DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs. CoRR Youwei Liang, Ruiyi Zhang, Li Zhang, Pengtao Xie
2023	A*	`conf`	Fair and Accurate Decision Making through Group-Aware Learning. ICML Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie
2023	A*	`conf`	Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques. ICML Pengtao Xie
2023	A*	`conf`	Improving Differentiable Neural Architecture Search by Encouraging Transferability. ICLR Parth Sheth, Pengtao Xie
2023	J	`jnl`	Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion. IEEE Trans. Multim. Luntian Mou, Chao Zhou, Pengtao Xie, Pengfei Zhao, Ramesh C. Jain, Wen Gao, Baocai Yin
2023	A*	`conf`	Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI 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
2023	A*	`conf`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS 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
2023	J	`jnl`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR 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
2023	A*	`conf`	Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. ICML Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian
2023	J	`jnl`	Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. CoRR Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian
2023	J	`jnl`	Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. CoRR Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie
2023	A*	`conf`	Making Scalable Meta Learning Practical. NeurIPS Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing
2023	J	`jnl`	Making Scalable Meta Learning Practical. CoRR Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing
2023	J	`jnl`	On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. CoRR 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
2023	J	`jnl`	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2022	J	`jnl`	A Multi-Level Optimization Framework for End-to-End Text Augmentation. Trans. Assoc. Comput. Linguistics Sai Ashish Somayajula, Linfeng Song, Pengtao Xie
2022	J	`jnl`	An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding. Trans. Assoc. Comput. Linguistics Hongchao Fang, Pengtao Xie
2022	J	`jnl`	Betty: An Automatic Differentiation Library for Multilevel Optimization. CoRR Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing
2022	J	`jnl`	DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR 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
2022	A*	`conf`	EViT: Expediting Vision Transformers via Token Reorganizations. ICLR Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie
2022	A*	`conf`	Graph Neural Architecture Search Under Distribution Shifts. ICML Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu
2022	A*	`conf`	Image Understanding by Captioning with Differentiable Architecture Search. ACM Multimedia Ramtin Hosseini, Pengtao Xie
2022	J	`jnl`	Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR 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
2022	A*	`conf`	Learning from Mistakes - a Framework for Neural Architecture Search. AAAI Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie
2022	—	`conf`	MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. ACL (Findings) Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie
2022	J	`jnl`	Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. CoRR Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie
2022	A*	`conf`	Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. CVPR Pengtao Xie, Xuefeng Du
2022	A*	`conf`	Saliency-Aware Neural Architecture Search. NeurIPS Ramtin Hosseini, Pengtao Xie
2022	J	`jnl`	Self-directed Machine Learning. CoRR Wenwu Zhu, Xin Wang, Pengtao Xie
2022	J	`jnl`	Self-directed machine learning. AI Open Wenwu Zhu, Xin Wang, Pengtao Xie
2022	J	`jnl`	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2021	A*	`conf`	Contrastive Self-supervised Learning for Graph Classification. AAAI Jiaqi Zeng, Pengtao Xie
2021	A*	`conf`	DSRNA: Differentiable Search of Robust Neural Architectures. CVPR Ramtin Hosseini, Xingyi Yang, Pengtao Xie
2021	A*	`conf`	Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. AAAI Seo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu, Eric P. Xing
2021	J	`jnl`	Improving Differentiable Architecture Search with a Generative Model. CoRR Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie
2021	J	`jnl`	Interleaving Learning, with Application to Neural Architecture Search. CoRR Hao Ban, Pengtao Xie
2021	J	`jnl`	Learning by Examples Based on Multi-level Optimization. CoRR Shentong Mo, Pengtao Xie
2021	J	`jnl`	Learning by Teaching, with Application to Neural Architecture Search. CoRR Parth Sheth, Yueyu Jiang, Pengtao Xie
2021	J	`jnl`	Learning from Mistakes - A Framework for Neural Architecture Search. CoRR Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie
2021	J	`jnl`	Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search. CoRR Jay Gala, Pengtao Xie
2021	—	`conf`	On the Generation of Medical Dialogs for COVID-19. ACL/IJCNLP (2) 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
2021	J	`jnl`	Self-supervised Regularization for Text Classification. CoRR Meng Zhou, Zechen Li, Pengtao Xie
2021	J	`jnl`	Self-supervised Regularization for Text Classification. Trans. Assoc. Comput. Linguistics Meng Zhou, Zechen Li, Pengtao Xie
2021	J	`jnl`	Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion. Trans. Assoc. Comput. Linguistics Jiayuan Huang, Yangkai Du, Shuting Tao, Kun Xu, Pengtao Xie
2021	—	`conf`	Towards Visual Question Answering on Pathology Images. ACL/IJCNLP (2) Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
2020	A	`conf`	Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
2020	J	`jnl`	CERT: Contrastive Self-supervised Learning for Language Understanding. CoRR Hongchao Fang, Sicheng Wang, Meng Zhou, Jiayuan Ding, Pengtao Xie
2020	J	`jnl`	COVID-CT-Dataset: A CT Scan Dataset about COVID-19. CoRR Jinyu Zhao, Yichen Zhang, Xuehai He, Pengtao Xie
2020	J	`jnl`	Contrastive Self-supervised Learning for Graph Classification. CoRR Jiaqi Zeng, Pengtao Xie
2020	J	`jnl`	DSRNA: Differentiable Search of Robust Neural Architectures. CoRR Ramtin Hosseini, Xingyi Yang, Pengtao Xie
2020	J	`jnl`	Differentially-private Federated Neural Architecture Search. CoRR Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie
2020	J	`jnl`	Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications. CoRR Yue Yang, Pengtao Xie
2020	A*	`conf`	Generalized Zero-Shot Text Classification for ICD Coding. IJCAI Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing
2020	J	`jnl`	Identifying Radiological Findings Related to COVID-19 from Medical Literature. CoRR Yuxiao Liang, Pengtao Xie
2020	J	`jnl`	Learning by Ignoring. CoRR Xingchen Zhao, Pengtao Xie
2020	J	`jnl`	Learning by Passing Tests, with Application to Neural Architecture Search. CoRR Xuefeng Du, Pengtao Xie
2020	J	`jnl`	Learning by Self-Explanation, with Application to Neural Architecture Search. CoRR Ramtin Hosseini, Pengtao Xie
2020	J	`jnl`	MedDialog: A Large-scale Medical Dialogue Dataset. CoRR Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie
2020	—	`conf`	MedDialog: Large-scale Medical Dialogue Datasets. EMNLP (1) 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
2020	J	`jnl`	On the Generation of Medical Dialogues for COVID-19. CoRR 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
2020	J	`jnl`	PathVQA: 30000+ Questions for Medical Visual Question Answering. CoRR Xuehai He, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
2020	J	`jnl`	Pathological Visual Question Answering. CoRR Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
2020	J	`jnl`	Skillearn: Machine Learning Inspired by Humans' Learning Skills. CoRR Pengtao Xie, Xuefeng Du, Hao Ban
2020	J	`jnl`	Small-Group Learning, with Application to Neural Architecture Search. CoRR Xuefeng Du, Pengtao Xie
2020	J	`jnl`	Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. CoRR Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie
2020	J	`jnl`	TreeGAN: Incorporating Class Hierarchy into Image Generation. CoRR Ruisi Zhang, Luntian Mou, Pengtao Xie
2020	J	`jnl`	Validate and Enable Machine Learning in Industrial AI. CoRR 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
2020	J	`jnl`	XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports. CoRR Xingyi Yang, Nandiraju Gireesh, Eric P. Xing, Pengtao Xie
2019	J	`jnl`	Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
2019	—	`—`	Diversity-Promoting and Large-Scale Machine Learning for Healthcare. Pengtao Xie
2019	—	`conf`	Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing
2019	J	`jnl`	Explaining a black-box using Deep Variational Information Bottleneck Approach. CoRR Seo-Jin Bang, Pengtao Xie, Wei Wu, Eric P. Xing
2019	J	`jnl`	Generalized Zero-shot ICD Coding. CoRR Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing
2019	—	`conf`	Multimodal Machine Learning for Automated ICD Coding. MLHC 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
2019	A*	`conf`	Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering. NeurIPS Biwei Huang, Kun Zhang, Pengtao Xie, Mingming Gong, Eric P. Xing, Clark Glymour
2018	—	`conf`	A Neural Architecture for Automated ICD Coding. ACL (1) Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing
2018	—	`conf`	Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. MLHC Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing
2018	J	`jnl`	Missing Value Imputation Based on Deep Generative Models. CoRR Hongbao Zhang, Pengtao Xie, Eric P. Xing
2018	J	`jnl`	Multimodal Machine Learning for Automated ICD Coding. CoRR 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
2018	A*	`conf`	Nonoverlap-Promoting Variable Selection. ICML Pengtao Xie, Hongbao Zhang, Yichen Zhu, Eric P. Xing
2018	—	`conf`	On the Automatic Generation of Medical Imaging Reports. ACL (1) Baoyu Jing, Pengtao Xie, Eric P. Xing
2018	—	`conf`	Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. SoCC Pengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric P. Xing
2018	A*	`conf`	Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. ICML Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
2018	J	`jnl`	Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. CoRR Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
2018	J	`jnl`	Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures. CoRR Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing
2018	J	`jnl`	Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. CoRR Xiangan Liu, Keyang Xu, Pengtao Xie, Eric P. Xing
2017	—	`conf`	A Constituent-Centric Neural Architecture for Reading Comprehension. ACL (1) Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Convolutional Neural Networks for Medical Diagnosis from Admission Notes. CoRR Christy Y. Li, Dimitris Konomis, Graham Neubig, Pengtao Xie, Carol Cheng, Eric P. Xing
2017	A*	`conf`	Deep Determinantal Point Process for Large-Scale Multi-label Classification. ICCV Pengtao Xie, Ruslan Salakhutdinov, Luntian Mou, Eric P. Xing
2017	J	`jnl`	Diversity-Promoting Bayesian Learning of Latent Variable Models. CoRR Pengtao Xie, Jun Zhu, Eric P. Xing
2017	J	`jnl`	Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition. CoRR Devendra Singh Sachan, Pengtao Xie, Eric P. Xing
2017	A*	`conf`	Improving the Generalization Performance of Multi-class SVM via Angular Regularization. IJCAI Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang
2017	A*	`conf`	Learning Latent Space Models with Angular Constraints. ICML Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing
2017	J	`jnl`	Learning Less-Overlapping Representations. CoRR Pengtao Xie, Hongbao Zhang, Eric P. Xing
2017	J	`jnl`	Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning. CoRR Shiyue Zhang, Pengtao Xie, Dong Wang, Eric P. Xing
2017	A	`conf`	Near-Orthogonality Regularization in Kernel Methods. UAI Pengtao Xie, Barnabás Póczos, Eric P. Xing
2017	J	`jnl`	On the Automatic Generation of Medical Imaging Reports. CoRR Baoyu Jing, Pengtao Xie, Eric P. Xing
2017	—	`conf`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Predicting Discharge Medications at Admission Time Based on Deep Learning. CoRR Yuan Yang, Pengtao Xie, Xin Gao, Carol Cheng, Christy Y. Li, Hongbao Zhang, Eric P. Xing
2017	J	`jnl`	Stacked Kernel Network. CoRR Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan
2017	J	`jnl`	Towards Automated ICD Coding Using Deep Learning. CoRR Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing
2017	A*	`conf`	Uncorrelation and Evenness: a New Diversity-Promoting Regularizer. ICML Pengtao Xie, Aarti Singh, Eric P. Xing
2016	A*	`conf`	Diversity-Promoting Bayesian Learning of Latent Variable Models. ICML Pengtao Xie, Jun Zhu, Eric P. Xing
2016	A	`conf`	Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. UAI Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
2015	J	`jnl`	Distributed Machine Learning via Sufficient Factor Broadcasting. CoRR Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
2015	A*	`conf`	Diversifying Restricted Boltzmann Machine for Document Modeling. KDD Pengtao Xie, Yuntian Deng, Eric P. Xing
2015	—	`conf`	Incorporating Word Correlation Knowledge into Topic Modeling. HLT-NAACL Pengtao Xie, Diyi Yang, Eric P. Xing
2015	A*	`conf`	Integrating Image Clustering and Codebook Learning. AAAI Pengtao Xie, Eric P. Xing
2015	J	`jnl`	Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization. CoRR Pengtao Xie, Yuntian Deng, Eric P. Xing
2015	—	`conf`	Learning Compact and Effective Distance Metrics with Diversity Regularization. ECML/PKDD (1) Pengtao Xie
2015	A*	`conf`	Mining User Interests from Personal Photos. AAAI Pengtao Xie, Yulong Pei, Yuan Xie, Eric P. Xing
2015	J	`jnl`	On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization. CoRR Pengtao Xie, Yuntian Deng, Eric P. Xing
2015	A*	`conf`	Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015	J	`jnl`	Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015	J	`jnl`	Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing
2015	J	`jnl`	Strategies and Principles of Distributed Machine Learning on Big Data. CoRR Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai
2014	J	`jnl`	Cauchy Principal Component Analysis. CoRR Pengtao Xie, Eric P. Xing
2014	J	`jnl`	CryptGraph: Privacy Preserving Graph Analytics on Encrypted Graph. CoRR Pengtao Xie, Eric P. Xing
2014	J	`jnl`	Crypto-Nets: Neural Networks over Encrypted Data. CoRR Pengtao Xie, Misha Bilenko, Tom Finley, Ran Gilad-Bachrach, Kristin E. Lauter, Michael Naehrig
2014	J	`jnl`	Large Scale Distributed Distance Metric Learning. CoRR Pengtao Xie, Eric P. Xing
2014	J	`jnl`	Large Scale Distributed Multiclass Logistic Regression. CoRR Pengtao Xie, Jin Kyu Kim, Eric P. Xing
2013	A	`conf`	Integrating Document Clustering and Topic Modeling. UAI Pengtao Xie, Eric P. Xing
2013	J	`jnl`	Integrating Document Clustering and Topic Modeling. CoRR Pengtao Xie, Eric P. Xing
2013	A*	`conf`	Multi-Modal Distance Metric Learning. IJCAI Pengtao Xie, Eric P. Xing