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2020 – today
- 2024
[j9]Pengtao Xie, Xingchen Zhao, Xuehai He:
Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. Trans. Assoc. Comput. Linguistics 12: 449-466 (2024)- [c54]Jay Gala, Pengtao Xie:
Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification. ICML 2024 - [c53]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. ICML 2024 - [c52]Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie:
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation. ICML 2024 - [c51]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: 4936-4953 - [c50]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: 5048-5060 - [i82]Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie:
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM. CoRR abs/2402.16338 (2024) - [i81]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 abs/2402.18059 (2024) - [i80]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 abs/2402.18128 (2024) - [i79]Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie:
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. CoRR abs/2403.09113 (2024) - [i78]Sai Ashish Somayajula, Youwei Liang, Abhishek Singh, Li Zhang, Pengtao Xie:
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. CoRR abs/2403.12918 (2024) - [i77]Rushi Qiang, Ruiyi Zhang, Pengtao Xie:
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models. CoRR abs/2403.13037 (2024) - [i76]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 abs/2405.16148 (2024) - [i75]Li Zhang, Basu Jindal, Ahmed Alaa, Robert Weinreb, David Wilson, Eran Segal, James Zou, Pengtao Xie:
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes. CoRR abs/2408.17421 (2024) - [i74]Duy M. H. Nguyen, Nghiem T. 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:
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. CoRR abs/2410.02615 (2024) - [i73]Yuchen Li, Li Zhang, Youwei Liang, Pengtao Xie:
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model. CoRR abs/2410.09714 (2024) - [i72]Peijia Qin, Ruiyi Zhang, Pengtao Xie:
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation. CoRR abs/2410.09758 (2024) - [i71]Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie:
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining. CoRR abs/2410.10006 (2024) - [i70]Bokai Hu, Sai Ashish Somayajula, Xin Pan, Zihan Huang, Pengtao Xie:
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning. CoRR abs/2410.11020 (2024) - 2023
- [j8]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: 529-542 (2023) - [j7]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): 20:1-20:26 (2023) - [c49]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: 14426-14435 - [c48]Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing:
Betty: An Automatic Differentiation Library for Multilevel Optimization. ICLR 2023 - [c47]Parth Sheth, Pengtao Xie:
Improving Differentiable Neural Architecture Search by Encouraging Transferability. ICLR 2023 - [c46]Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie:
Fair and Accurate Decision Making through Group-Aware Learning. ICML 2023: 13254-13269 - [c45]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: 20746-20762 - [c44]Pengtao Xie:
Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques. ICML 2023: 38137-38186 - [c43]Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing:
Making Scalable Meta Learning Practical. NeurIPS 2023 - [c42]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 - [i69]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. CoRR abs/2301.05104 (2023) - [i68]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 abs/2302.09419 (2023) - [i67]Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie:
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. CoRR abs/2304.00486 (2023) - [i66]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. CoRR abs/2306.11925 (2023) - [i65]Youwei Liang, Ruiyi Zhang, Li Zhang, Pengtao Xie:
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs. CoRR abs/2309.03907 (2023) - [i64]Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing:
Making Scalable Meta Learning Practical. CoRR abs/2310.05674 (2023) - [i63]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 abs/2311.11096 (2023) - 2022
- [j6]Wenwu Zhu, Xin Wang, Pengtao Xie:
Self-directed machine learning. AI Open 3: 58-70 (2022) - [j5]Sai Ashish Somayajula, Linfeng Song, Pengtao Xie:
A Multi-Level Optimization Framework for End-to-End Text Augmentation. Trans. Assoc. Comput. Linguistics 10: 343-358 (2022) - [j4]Hongchao Fang, Pengtao Xie:
An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding. Trans. Assoc. Comput. Linguistics 10: 1324-1340 (2022) - [c41]Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie:
Learning from Mistakes - a Framework for Neural Architecture Search. AAAI 2022: 10184-10192 - [c40]Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie:
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. ACL (Findings) 2022: 3436-3448 - [c39]Pengtao Xie, Xuefeng Du:
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. CVPR 2022: 11912-11922 - [c38]Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie:
EViT: Expediting Vision Transformers via Token Reorganizations. ICLR 2022 - [c37]Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu:
Graph Neural Architecture Search Under Distribution Shifts. ICML 2022: 18083-18095 - [c36]Ramtin Hosseini, Pengtao Xie:
Image Understanding by Captioning with Differentiable Architecture Search. ACM Multimedia 2022: 4665-4673 - [c35]Ramtin Hosseini, Pengtao Xie:
Saliency-Aware Neural Architecture Search. NeurIPS 2022 - [i62]Wenwu Zhu, Xin Wang, Pengtao Xie:
Self-directed Machine Learning. CoRR abs/2201.01289 (2022) - [i61]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 abs/2202.07800 (2022) - [i60]Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing:
Betty: An Automatic Differentiation Library for Multilevel Optimization. CoRR abs/2207.02849 (2022) - [i59]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 abs/2211.08168 (2022) - [i58]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 abs/2212.01893 (2022) - [i57]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 abs/2212.14615 (2022) - 2021
- [j3]Meng Zhou, Zechen Li, Pengtao Xie:
Self-supervised Regularization for Text Classification. Trans. Assoc. Comput. Linguistics 9: 641-656 (2021) - [j2]Jiayuan Huang, Yangkai Du, Shuting Tao, Kun Xu, Pengtao Xie:
Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion. Trans. Assoc. Comput. Linguistics 9: 1268-1284 (2021) - [c34]Jiaqi Zeng, Pengtao Xie:
Contrastive Self-supervised Learning for Graph Classification. AAAI 2021: 10824-10832 - [c33]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: 11396-11404 - [c32]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: 708-718 - [c31]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: 886-896 - [c30]Ramtin Hosseini, Xingyi Yang, Pengtao Xie:
DSRNA: Differentiable Search of Robust Neural Architectures. CVPR 2021: 6196-6205 - [i56]Meng Zhou, Zechen Li, Pengtao Xie:
Self-supervised Regularization for Text Classification. CoRR abs/2103.05231 (2021) - [i55]Parth Sheth, Yueyu Jiang, Pengtao Xie:
Learning by Teaching, with Application to Neural Architecture Search. CoRR abs/2103.07009 (2021) - [i54]Hao Ban, Pengtao Xie:
Interleaving Learning, with Application to Neural Architecture Search. CoRR abs/2103.07018 (2021) - [i53]Shentong Mo, Pengtao Xie:
Learning by Examples Based on Multi-level Optimization. CoRR abs/2109.10824 (2021) - [i52]Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie:
Learning from Mistakes - A Framework for Neural Architecture Search. CoRR abs/2111.06353 (2021) - [i51]Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie:
Improving Differentiable Architecture Search with a Generative Model. CoRR abs/2112.00171 (2021) - [i50]Jay Gala, Pengtao Xie:
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search. CoRR abs/2112.00275 (2021) - 2020
- [c29]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI 2020: 1579-1586 - [c28]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: 9241-9250 - [c27]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-Shot Text Classification for ICD Coding. IJCAI 2020: 4018-4024 - [i49]Xuehai He, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie:
PathVQA: 30000+ Questions for Medical Visual Question Answering. CoRR abs/2003.10286 (2020) - [i48]Jinyu Zhao, Yichen Zhang, Xuehai He, Pengtao Xie:
COVID-CT-Dataset: A CT Scan Dataset about COVID-19. CoRR abs/2003.13865 (2020) - [i47]Yuxiao Liang, Pengtao Xie:
Identifying Radiological Findings Related to COVID-19 from Medical Literature. CoRR abs/2004.01862 (2020) - [i46]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 abs/2004.03329 (2020) - [i45]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 abs/2005.05442 (2020) - [i44]Hongchao Fang, Pengtao Xie:
CERT: Contrastive Self-supervised Learning for Language Understanding. CoRR abs/2005.12766 (2020) - [i43]Xingyi Yang, Nandiraju Gireesh, Eric P. Xing, Pengtao Xie:
XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports. CoRR abs/2006.10552 (2020) - [i42]Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie:
Differentially-private Federated Neural Architecture Search. CoRR abs/2006.10559 (2020) - [i41]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 abs/2007.04234 (2020) - [i40]Jiaqi Zeng, Pengtao Xie:
Contrastive Self-supervised Learning for Graph Classification. CoRR abs/2009.05923 (2020) - [i39]Ruisi Zhang, Luntian Mou, Pengtao Xie:
TreeGAN: Incorporating Class Hierarchy into Image Generation. CoRR abs/2009.07734 (2020) - [i38]Yue Yang, Pengtao Xie:
Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications. CoRR abs/2010.03468 (2020) - [i37]Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie:
Pathological Visual Question Answering. CoRR abs/2010.12435 (2020) - [i36]Xuefeng Du, Pengtao Xie:
Learning by Passing Tests, with Application to Neural Architecture Search. CoRR abs/2011.15102 (2020) - [i35]Pengtao Xie, Xuefeng Du, Hao Ban:
Skillearn: Machine Learning Inspired by Humans' Learning Skills. CoRR abs/2012.04863 (2020) - [i34]Ramtin Hosseini, Xingyi Yang, Pengtao Xie:
DSRNA: Differentiable Search of Robust Neural Architectures. CoRR abs/2012.06122 (2020) - [i33]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 abs/2012.09610 (2020) - [i32]Xuefeng Du, Pengtao Xie:
Small-Group Learning, with Application to Neural Architecture Search. CoRR abs/2012.12502 (2020) - [i31]Ramtin Hosseini, Pengtao Xie:
Learning by Self-Explanation, with Application to Neural Architecture Search. CoRR abs/2012.12899 (2020) - [i30]Xingchen Zhao, Pengtao Xie:
Learning by Ignoring. CoRR abs/2012.14288 (2020)
2010 – 2019
- 2019
- [b1]Pengtao Xie:
Diversity-Promoting and Large-Scale Machine Learning for Healthcare. Carnegie Mellon University, USA, 2019 - [c26]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: 601-604 - [c25]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: 197-215 - [c24]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: 13510-13521 - [i29]Seo-Jin Bang, Pengtao Xie, Wei Wu, Eric P. Xing:
Explaining a black-box using Deep Variational Information Bottleneck Approach. CoRR abs/1902.06918 (2019) - [i28]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR abs/1905.11931 (2019) - [i27]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-shot ICD Coding. CoRR abs/1909.13154 (2019) - 2018
- [c23]Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing:
A Neural Architecture for Automated ICD Coding. ACL (1) 2018: 1066-1076 - [c22]Baoyu Jing, Pengtao Xie, Eric P. Xing:
On the Automatic Generation of Medical Imaging Reports. ACL (1) 2018: 2577-2586 - [c21]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: 1-13 - [c20]Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing:
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. ICML 2018: 5399-5408 - [c19]Pengtao Xie, Hongbao Zhang, Yichen Zhu, Eric P. Xing:
Nonoverlap-Promoting Variable Selection. ICML 2018: 5409-5418 - [c18]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: 383-402 - [i26]Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing:
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. CoRR abs/1802.06014 (2018) - [i25]Hongbao Zhang, Pengtao Xie, Eric P. Xing:
Missing Value Imputation Based on Deep Generative Models. CoRR abs/1808.01684 (2018) - [i24]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 abs/1810.13348 (2018) - [i23]Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing:
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures. CoRR abs/1811.08010 (2018) - [i22]Xiangan Liu, Keyang Xu, Pengtao Xie, Eric P. Xing:
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. CoRR abs/1811.08040 (2018) - 2017
- [c17]Pengtao Xie, Eric P. Xing:
A Constituent-Centric Neural Architecture for Reading Comprehension. ACL (1) 2017: 1405-1414 - [c16]Pengtao Xie, Ruslan Salakhutdinov, Luntian Mou, Eric P. Xing:
Deep Determinantal Point Process for Large-Scale Multi-label Classification. ICCV 2017: 473-482 - [c15]Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing:
Learning Latent Space Models with Angular Constraints. ICML 2017: 3799-3810 - [c14]Pengtao Xie, Aarti Singh, Eric P. Xing:
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer. ICML 2017: 3811-3820 - [c13]Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang:
Improving the Generalization Performance of Multi-class SVM via Angular Regularization. IJCAI 2017: 2131-2137 - [c12]Pengtao Xie, Barnabás Póczos, Eric P. Xing:
Near-Orthogonality Regularization in Kernel Methods. UAI 2017 - [c11]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC 2017: 181-193 - [i21]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR abs/1706.03292 (2017) - [i20]Yuan Yang, Pengtao Xie, Xin Gao, Carol Cheng,