Eric P. Xing - researchr alias

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Viewing Publication 1 - 100 from 405

2024

Prototypical Graph Contrastive LearningShuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng 0001, Liang Lin, Eric P. Xing, Xiaodan Liang. tnn, 35(2):2747-2758, February 2024. [doi]

Iterative Graph Self-DistillationHanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing. tkde, 36(3):1161-1169, March 2024. [doi]

2023

Betty: An Automatic Differentiation Library for Multilevel OptimizationSang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing. iclr 2023: [doi]

KD-DLGAN: Data Limited Image Generation via Knowledge DistillationKaiwen Cui, Yingchen Yu, Fangneng Zhan, ShengCai Liao, Shijian Lu, Eric P. Xing. cvpr 2023: 3872-3882 [doi]

Federated Partially Supervised Learning With Limited Decentralized Medical ImagesNanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing. tmi, 42(7):1944-1954, 2023. [doi]

Federated Learning as Variational Inference: A Scalable Expectation Propagation ApproachHan Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing. iclr 2023: [doi]

BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language ModelsShibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu. acl 2023: 5000-5015 [doi]

Understanding Masked Autoencoders via Hierarchical Latent Variable ModelsLingjing Kong, Martin Q. Ma, Guangyi Chen 0002, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang 0001. cvpr 2023: 7918-7928 [doi]

Identification of Nonlinear Latent Hierarchical ModelsLingjing Kong, Biwei Huang, Feng Xie 0002, Eric P. Xing, Yuejie Chi, Kun Zhang 0001. nips 2023: [doi]

MPCFORMER: Fast, Performant and Provate Transformer Inference with MPCDacheng Li, Hongyi Wang, Rulin Shao, Han Guo, Eric P. Xing, Hao Zhang. iclr 2023: [doi]

FedNAR: Federated Optimization with Normalized Annealing RegularizationJunbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang 0001. nips 2023: [doi]

StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance FieldsKunhao Liu, Fangneng Zhan, Yiwen Chen, Jiahui Zhang, Yingchen Yu, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing. cvpr 2023: 8338-8348 [doi]

Weakly Supervised 3D Open-vocabulary SegmentationKunhao Liu, Fangneng Zhan, Jiahui Zhang, Muyu Xu, Yingchen Yu, Abdulmotaleb El-Saddik, Christian Theobalt, Eric P. Xing, Shijian Lu. nips 2023: [doi]

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerBowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen. nips 2023: [doi]

Neural-Symbolic Interaction and Co-EvolvingBowen Tan, Shibo Hao, Eric P. Xing, Zhiting Hu. In Pascal Hitzler, Md. Kamruzzaman Sarker, Aaron Eberhart, editors, Compendium of Neurosymbolic Artificial Intelligence. Volume 369 of Frontiers in Artificial Intelligence and Applications, pages 125-152, IOS Press, 2023. [doi]

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsAoran Xiao, Jiaxing Huang 0001, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing. cvpr 2023: 9382-9392 [doi]

Counterfactual Generation with Identifiability GuaranteesHanqi Yan, Lingjing Kong, Lin Gui 0003, Yuejie Chi, Eric P. Xing, Yulan He 0001, Kun Zhang 0001. nips 2023: [doi]

Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveZeyuan Yin, Eric P. Xing, Zhiqiang Shen. nips 2023: [doi]

Multimodal Image Synthesis and Editing: The Generative AI EraFangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric P. Xing. pami, 45(12):15098-15119, December 2023. [doi]

Meta-DETR: Image-Level Few-Shot Detection With Inter-Class Correlation ExploitationGongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing. pami, 45(11):12832-12843, November 2023. [doi]

Improved Logical Reasoning of Language Models via Differentiable Symbolic ProgrammingHanlin Zhang, Jiani Huang, Ziyang Li, Mayur Naik, Eric P. Xing. acl 2023: 3062-3077 [doi]

Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaLianmin Zheng, Wei-Lin Chiang, Ying Sheng 0007, Siyuan Zhuang 0001, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li 0001, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica. nips 2023: [doi]

2022

Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization SpaceArnav Chavan, Zhiqiang Shen, Zhuang Liu 0003, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing. cvpr 2022: 4921-4931 [doi]

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu. emnlp 2022: 3369-3391 [doi]

Negational symmetry of quantum neural networks for binary pattern classificationNanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing. PR, 129:108750, 2022. [doi]

Towards robust partially supervised multi-structure medical image segmentation on small-scale dataNanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu 0009, Irina Voiculescu, Eric P. Xing. asc, 114:108074, 2022. [doi]

Learning from Mistakes - a Framework for Neural Architecture SearchBhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie. AAAI 2022: 10184-10192 [doi]

Efficient (Soft) Q-Learning for Text Generation with Limited Good DataHan Guo, Bowen Tan, Zhengzhong Liu 0001, Eric P. Xing, Zhiting Hu. emnlp 2022: 6969-6991 [doi]

SDQ: Stochastic Differentiable Quantization with Mixed PrecisionXijie Huang, Zhiqiang Shen, Shichao Li 0002, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng. icml 2022: 9295-9309 [doi]

The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain GeneralizationZeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing. cvpr 2022: 9621-9631 [doi]

Dropout as a Regularizer of Interaction EffectsBenjamin J. Lengerich, Eric P. Xing, Rich Caruana. aistats 2022: 7550-7564 [doi]

Data-Free Neural Architecture Search via Recursive Label CalibrationZechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner. eccv 2022: 391-406 [doi]

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through EstimationZechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen. cvpr 2022: 4932-4942 [doi]

A Fast Knowledge Distillation Framework for Visual RecognitionZhiqiang Shen, Eric P. Xing. eccv 2022: 673-690 [doi]

Sliced Recursive TransformerZhiqiang Shen, Zechun Liu, Eric P. Xing. eccv 2022: 727-744 [doi]

Rare Gems: Finding Lottery Tickets at InitializationKartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric P. Xing, Kangwook Lee 0001, Dimitris S. Papailiopoulos. nips 2022: [doi]

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data AugmentationHaohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing. kdd 2022: 1846-1856 [doi]

Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed ModelHaohan Wang, Oscar L. Lopez, Wei Wu 0023, Eric P. Xing. recomb 2022: 107-125 [doi]

Kernel Mixed Model for Transcriptome Association StudyHaohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu 0023. jcb, 29(12):1353-1356, 2022. [doi]

Trade-offs of Linear Mixed Models in Genome-Wide Association StudiesHaohan Wang, Bryon Aragam, Eric P. Xing. jcb, 29(3):233-242, 2022. [doi]

DNB: A Joint Learning Framework for Deep Bayesian Nonparametric ClusteringZeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing. tnn, 33(12):7610-7620, 2022. [doi]

Toward learning human-aligned cross-domain robust models by countering misaligned featuresHaohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing. uai 2022: 2075-2084 [doi]

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language ModelsJiannan Xiang, Zhengzhong Liu 0001, Yucheng Zhou, Eric P. Xing, Zhiting Hu. emnlp 2022: 1886-1899 [doi]

Towards Principled Disentanglement for Domain GeneralizationHanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing. cvpr 2022: 8014-8024 [doi]

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningLianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica. osdi 2022: 559-578 [doi]

2021

On Data Efficiency of Meta-learningMaruan Al-Shedivat, Liam Li, Eric P. Xing, Ameet Talwalkar. aistats 2021: 1369-1377 [doi]

Explaining A Black-box By Using A Deep Variational Information Bottleneck ApproachSeo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu 0023, Eric P. Xing. AAAI 2021: 11396-11404 [doi]

Interactive Weak Supervision: Learning Useful Heuristics for Data LabelingBenedikt Boecking, Willie Neiswanger, Eric P. Xing, Artur Dubrawski. iclr 2021: [doi]

Multi-task Learning of Order-Consistent Causal GraphsXinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song. nips 2021: 11083-11095 [doi]

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningJiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin. acl 2021: 513-523 [doi]

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationMingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu. emnlp 2021: 7580-7605 [doi]

Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomographyXuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric P. Xing, Min Xu 0009. bioinformatics, 37(16):2340-2346, 2021. [doi]

Towards Visual Question Answering on Pathology ImagesXuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie. acl 2021: 708-718 [doi]

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep LearningAurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang 0025, Gregory R. Ganger, Eric P. Xing. osdi 2021: [doi]

Progressive Generation of Long Text with Pretrained Language ModelsBowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu. naacl 2021: 4313-4324 [doi]

Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data setsHaohan Wang, Fen Pei, Michael M. Vanyukov, Ivet Bahar, Wei Wu 0023, Eric P. Xing. bmcbi, 22(1):50, 2021. [doi]

Knowledge-Aware Meta-learning for Low-Resource Text ClassificationHuaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing. emnlp 2021: 1814-1821 [doi]

On the Generation of Medical Dialogs for COVID-19Meng 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. acl 2021: 886-896 [doi]

2020

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep LearningHao Zhang 0025, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing. nips 2020: [doi]

Contextual Explanation NetworksMaruan Al-Shedivat, Avinava Dubey, Eric P. Xing. jmlr, 21, 2020. [doi]

Distributed, partially collapsed MCMC for Bayesian NonparametricsKumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson. aistats 2020: 3685-3695 [doi]

Supervised Adversarial Alignment of Single-Cell RNA-seq DataSongwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph. recomb 2020: 72-87 [doi]

Learning from All Types of Experiences: A Unifying Machine Learning PerspectiveZhiting Hu, Eric P. Xing. kdd 2020: 3531-3532 [doi]

Self-challenging Improves Cross-Domain GeneralizationZeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang. eccv 2020: 124-140 [doi]

WGAN domain adaptation for the joint optic disc-and-cup segmentation in fundus imagesShreya Kadambi, Zeya Wang, Eric P. Xing. cars, 15(7):1205-1213, 2020. [doi]

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with DragonflyKirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider 0001, Barnabás Póczos, Eric P. Xing. jmlr, 21, 2020. [doi]

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable RecommendationsKsenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabás Póczos, Jeff Schneider, Eric P. Xing. aistats 2020: 3393-3403 [doi]

Record-to-Text Generation with Style ImitationShuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu. emnlp 2020: 1589-1598 [doi]

Regularizing Black-box Models for Improved InterpretabilityGregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar. nips 2020: [doi]

Generalized Zero-Shot Text Classification for ICD CodingCongzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing. IJCAI 2020: 4018-4024 [doi]

Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised ApproachBowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu. emnlp 2020: 6301-6309 [doi]

High-Frequency Component Helps Explain the Generalization of Convolutional Neural NetworksHaohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing. cvpr 2020: 8681-8691 [doi]

Adversarial Domain Adaptation Being Aware of Class RelationshipsZeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing. ecai 2020: 1579-1586 [doi]

Improving GAN Training with Probability Ratio Clipping and Sample ReweightingYue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu. nips 2020: [doi]

Unsupervised object-level video summarization with online motion auto-encoderYujia Zhang, Xiaodan Liang, Dingwen Zhang, Min Tan 0001, Eric P. Xing. prl, 130:376-385, 2020. [doi]

Learning Sparse Nonparametric DAGsXun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing. aistats 2020: 3414-3425 [doi]

Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target speciesYumin Zheng, Haohan Wang, Yang Zhang, Xin Gao, Eric P. Xing, Min Xu. ploscb, 16(11):1008297, November 2020. [doi]

2019

Toward Understanding the Impact of Staleness in Distributed Machine LearningWei Dai 0003, Yi Zhou, Nanqing Dong, Hao Zhang 0025, Eric P. Xing. iclr 2019: [doi]

Learning Data Manipulation for Augmentation and WeightingZhiting Hu, Bowen Tan, Russlan Salakhutdinov, Tom M. Mitchell, Eric P. Xing. nips 2019: 15738-15749 [doi]

Texar: A Modularized, Versatile, and Extensible Toolkit for Text GenerationZhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing. acl 2019: 159-164 [doi]

Specific and Shared Causal Relation Modeling and Mechanism-Based ClusteringBiwei Huang, Kun Zhang 0001, Pengtao Xie, Mingming Gong, Eric P. Xing, Clark Glymour. nips 2019: 13510-13521 [doi]

Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray ReportsBaoyu Jing, Zeya Wang, Eric P. Xing. acl 2019: 6570-6580 [doi]

STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming ModelJin Kyu Kim, Abutalib Aghayev, Garth A. Gibson, Eric P. Xing. usenix 2019: 207-222 [doi]

Learning Sample-Specific Models with Low-Rank Personalized RegressionBenjamin J. Lengerich, Bryon Aragam, Eric P. Xing. nips 2019: 3570-3580 [doi]

Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from TextbooksMrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing. coling, 45(4):627-665, 2019. [doi]

Connecting the Dots Between MLE and RL for Sequence GenerationBowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing. iclr 2019: [doi]

What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference TasksHaohan Wang, Da Sun, Eric P. Xing. AAAI 2019: 7136-7143 [doi]

Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare ApplicationsHaohan Wang, Zhenglin Wu, Eric P. Xing. psb 2019: 54-65 [doi]

Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic dataHaohan Wang, Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing. bioinformatics, 35(7):1181-1187, 2019. [doi]

Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus ImagesZeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu 0009, Pengtao Xie, Eric P. Xing. isbi 2019: 601-604 [doi]

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement LearningHaohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing. psb 2019: 112-123 [doi]

Learning Robust Representations by Projecting Superficial Statistics OutHaohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing. iclr 2019: [doi]

Learning Robust Global Representations by Penalizing Local Predictive PowerHaohan Wang, Songwei Ge, Zachary C. Lipton, Eric P. Xing. nips 2019: 10506-10518 [doi]

Deep Inductive Matrix Completion for Biomedical Interaction PredictionHaohan Wang, Yibing Wei, Mengxin Cao, Ming Xu 0008, Wei Wu, Eric P. Xing. bibm 2019: 520-527 [doi]

Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors CorrectionHaohan Wang, Changpeng Lu, Wei Wu, Eric P. Xing. bibm 2019: 298-302 [doi]

Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studiesHaohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing. bmcbi, 20-S(23):656, 2019. [doi]

Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared MemoryJinliang Wei, Garth A. Gibson, Phillip B. Gibbons, Eric P. Xing. eurosys 2019: [doi]

Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms ClassificationXindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu 0009. bibm 2019: 1-6 [doi]

Multimodal Machine Learning for Automated ICD CodingKeyang 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. mlhc 2019: 197-215 [doi]

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