Machine Learning and other CS Papers

(papers in major machine learning or CS related conferences)

  • Learning Guidance Rewards with Trajectory-space Smoothing
    Tanmay Gangwani, Yuan Zhou, Jian Peng
    NeurIPS, 2020
  • Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
    Tanmay Gangwani, Jian Peng, Yuan Zhou
    CoRL, 2020
  • Off-Policy Interval Estimation with Lipschitz Value Iteration
    Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
    NeurIPS, 2020
  • Causality in machine learning: When causal inference meets deep neural networks
    Yunan Luo, Jian Peng and Jianzhu Ma
    Nature Machine Intelligence, 2020
  • A Chance-Constrained Generative Framework for Sequence Optimization
    Xianggen Liu, Sen Song, Qiang Liu, Jian Peng
    ICML, 2020
  • Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch
    Michael Wan, Tanmay Gangwani, Jian Peng
    UAI, 2020
  • Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
    Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
    ECCV, 2020
  • HAL: Computer System for Scalable Deep Learning
    Volodymyr Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Ben Rabe, Ke Xu, Roy Campbell, Jian Peng and William Gropp
    PEARC, 2020
  • Stein Variational Inference for Discrete Distributions
    Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
    AISTATS, 2020
  • A PTAS for the Bayesian Thresholding Bandit Problem
    Yue Qin, Jian Peng, Yuan Zhou
    AISTATS, 2020
  • State-only Imitation with Transition Dynamics Mismatch
    Tanmay Gangwani, Jian Peng
    ICLR, 2020
  • √n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank
    Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
    COLT, 2020
  • Exploration via Hindsight Goal Generation
    Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
    NeurIPS, 2019
  • Thresholding Bandit with Optimal Aggregate Regret
    Chao Tao, Saúl Blanco, Jian Peng, Yuan Zhou
    NeurIPS, 2019
  • HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
    Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng and Hao Peng
    CIKM, (long paper), 2019
  • Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning
    Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng
    arXiv:1905.13420, 2019
  • Stochastic Variance Reduction for Deep Q-learning
    Wei-Ye Zhao, Xi-Ya Guan, Yang Liu, Xiaoming Zhao, Jian Peng
    AAMAS, 2019
  • Learning Belief Representations for Imitation Learning in POMDPs
    Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
    UAI, 2019
  • REINAM: Reinforcement Learning for Input-Grammar Inference
    Zhengkai Wu, Evan N. Johnson, Wei Yang, Osbert Bastani, Dawn Song, Jian Peng, Tao Xie
    ESEC/FSE, 2019
  • Quantile Stein Bayesian Optimization
    Chengyue Gong, Jian Peng, Qiang Liu
    ICML, 2019
  • A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization
    Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng
    ICML, 2019
  • Large-Margin Classification in Hyperbolic Space
    Hyunghoon Cho, Benjamin DeMeo, Jian Peng, Bonnie Berger
    AISTATS, 2019
  • Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
    Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
    ICLR, 2019
  • Learning Self-Imitating Diverse Policies
    Tanmay Gangwani, Qiang Liu, Jian Peng
    ICLR, 2019
  • Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion
    Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
    ICLR, 2019
  • Knowledge Flow: Improve Upon Your Teachers
    Iou-Jen Liu, Jian Peng, Alexander Schwing
    ICLR, 2019
  • emrQA: A Large Corpus for Question Answering on Electronic Medical Records
    Anusri Pampari, Preethi Raghavan, Jennifer Liang and Jian Peng
    EMNLP (oral presentation), 2018
  • Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
    Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han
    EMNLP (oral presentation), 2018
  • SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
    Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu and Dongmei Zhang
    EMNLP, 2018
  • Learning to Explore via Meta Policy Gradient
    Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng
    ICML, 2018
  • Policy Optimization by Genetic Distillation
    Tanmay Gangwani, Jian Peng
    ICLR, 2018
  • Action-dependent Control Variates for Policy Optimization via Stein Identity
    Hao Liu*, Yihao Feng*, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
    ICLR, 2018
  • Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping
    Keyi Yu, Yang Liu, Alexander G Schwing, Jian Peng
    ICLR Workshop, 2018
  • Energy-efficient Amortized Inference with Cascaded Deep Classifiers
    Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
    IJCAI, 2018
  • Efficient Localized Inference for Large Graphical Models
    Jinglin Chen, Jian Peng, Qiang Liu
    IJCAI, 2018
  • Empower Sequence Labeling with Task-Aware Neural Language Model
    Liyuan Liu, Jingbo Shang, Frank Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han
    AAAI, 2018
  • Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery
    Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, and Jiawei Han
    ECML-PKDD, 2018
  • Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening
    Frank S. He, Yang Liu, Alexander Schwing, Jian Peng
    ICLR, 2017, [openreview]
  • On the interpretability of conditional probability estimates in the agnostic setting
    Yihan Gao, Aditya Parameswaran, Jian Peng
    Electronic Journal of Statistics, 2017
    AISTATS, 2017 (oral presentation)
  • Stochastic Variance Reduction for Policy Gradient Estimation
    Tianbing Xu, Qiang Liu, Jian Peng
    arXiv:1710.06034, 2017
  • DPPred: An Effective Prediction Framework with Concise Discriminative Patterns
    Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han
    TKDE, 2017
  • Stein Variational Policy Gradient
    Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng
    UAI, 2017
  • Exploiting Temporal Divergence of Topic Distributions for Event Detection
    Rongda Zhu, Aston Zhang, Jian Peng, ChengXiang Zhai
    IEEE BIGDATA, 2016
  • Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
    Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng
  • DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework
    Jingbo Shang, Wenzhu Tong, Jian Peng and Jiawei Han
    SDM, 2016
  • MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance
    Jingbo Shang, Jian Peng and Jiawei Han
    SDM, 2016
  • Estimating the Partition Function by Discriminance Sampling
    Qiang Liu*, Jian Peng*, Alex Ihler and John Fisher
    UAI, 2015 (plenary presentation)
    also in ICML Deep Learning Workshop, 2015
  • Exact Hybrid Covariance Thresholding for Joint Graphical Lasso
    Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu
    ECML/PKDD, 2015
  • Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling.
    Jianzhu Ma*, Jian Peng*, Sheng Wang and Jinbo Xu
    AISTATS, 2013 (oral presentation)
  • Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
    Jian Peng, Tamir Hazan, Nathan Srebro and Jinbo Xu
    AISTATS, 2012
  • Variational inference for crowdsourcing
    Qiang Liu, Jian Peng, Alex Ihler
    NIPS, 2012
  • Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs
    Tamir Hazan, Jian Peng, Amnon Shashua
    UAI, 2012
  • Convex Max-Product Algorithms for Continuous MRFs with Applications to Protein Folding
    Jian Peng, Tamir Hazan, David McAllester and Raquel Urtasun
    ICML, 2011
  • Conditional Neural Fields
    Jian Peng, Liefeng Bo and Jinbo Xu
    NIPS, 2009

Bioinformatics and other Scientific Papers

(*-equal contribution, #-corresponding author/lead contact)
(for collaborative papers, authors from my group are underlined.)
  • Learning predictive models of drug response that translate across biological contexts
    Jianzhu Ma, Samson Fong, Yunan Luo, Christopher Bakkenist, John-Paul Shen, Soufiane Mourragui, Lodewyk Wessels, Marc Hafner, Roded Sharan, Jian Peng, Trey Ideker#
    Nature Cancer, (accepted)
  • A marine microbiome antifungal targets urgent-threat drug-resistant fungi
    Fan Zhang, Miao Zhao, Doug R. Braun, Spencer S. Ericksen, Jeff S. Piotrowski, Justin Nelson, Jian Peng, Gene E. Ananiev, Shaurya Chanana, Kenneth Barns, Jen Fossen, Hiram Sanchez, Marc G. Chevrette, Ilia A. Guzei, Changgui Zhao, Le Guo, Weiping Tang, Cameron R. Currie, Scott R. Rajski, Anjon Audhya, David R. Andes#, and Tim S. Bugni#
    Science, (accepted)
  • Evolutionary context-integrated deep sequence modeling for protein engineering
    Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao and Jian Peng#
    RECOMB, 2020
  • Batch Equalization with a Generative Adversarial Network
    Wesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, Arunachalam Narayanaswamy, Michelle Dimon, George Ashdown, Jake Baum, Jian Peng, D. Michael Ando
    ECCB, 2020
    Bioinformatics, 2020
  • Characterization of SARS-CoV-2 viral diversity within and across hosts
    Palash Sashittal*, Yunan Luo*, Jian Peng#, Mohammed El-Kebir#
    BioRxiv, 2020
  • Crowdsourced mapping of unexplored target space of kinase inhibitors
    Anna Cichonska, et al
    BioRxiv, 2020
  • Integrating Deep Neural Networks and Symbolic Inference for Organic Reactivity Prediction
    Wesley Wei Qian*, Nathan T. Russell*, Claire L. W. Simons, Yunan Luo, Martin D. Burke, Jian Peng#
    ChemRxiv, 2020
  • Robust Single-Cell Hi-C Clustering by Convolution and Random Walk based Imputation
    Jingtian Zhou*, Jianzhu Ma*, Yusi Chen, Chuankai Cheng, Bokan Bao, Jian Peng, Terrence J. Sejnowski, Jesse R. Dixon, Joseph R Ecker
    PNAS, 2019
  • Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning
    Yunan Luo*, Jianzhu Ma*, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker and Jian Peng#
    RECOMB, 2019
  • Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction
    Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, Jian Peng#
    PLOS Computational Biology, 2019
  • Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
    Yaping Cai, Kaiyu Guan, David Lobell, Andries B Potgieter, Shaowen Wang, Jian Peng, Tianfang Xu, Senthold Asseng, Yongguang Zhang, Liangzhi You, Bin Peng
    Agricultural and Forest Meteorology, 2019
  • Identification of Pathways Associated with Chemosensitivity through Network Embedding
    Sheng Wang, Edward Huang, Junmei Cairns, Jian Peng, Liewei Wang, Saurabh Sinha
    PLOS Computational Biology, 2019
  • A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction
    Michael Menden et al
    Nature Communications, 2019
  • Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the US
    Yan Li, Kaiyu Guan, Albert Yu, Bin Peng, Lei Zhao, Bo Li, Jian Peng
    Field Crops Research, 2019
  • Typing tumors using pathways selected by somatic evolution
    Sheng Wang*, Jianzhu Ma*, Wei Zhang, John Paul Shen, Justin Huang, Jian Peng#, Trey Ideker#
    Nature Communications, 2018
  • Learning Structural Motif Representations For Efficient Protein Structure Search
    Yang Liu, Qing Ye, Liwei Wang, Jian Peng#
    ECCB, 2018
    Bioinformatics, 2018
  • Generalizable and Scalable Visualization of Single Cell Data Using Neural Networks
    Hyunghoon Cho, Bonnie Berger#, Jian Peng#
    RECOMB, 2018
    Cell Systems, 2018
  • STAIR: A generic and fully-automated method to fuse multiple sources of optical satellite data to generate a high-resolution, daily and cloud-/gap-free surface reflectance product
    Yunan Luo, Kaiyu Guan#, Jian Peng#
    Remote Sensing of Environment, 2018
  • Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
    Robert Kueffner*, Neta Zach*, Maya Bronfeld, Raquel Norel, Nazem Atassi, Venkat Balagurusamy, Barbara di Camillo, Adriano Chio, Merit Cudkowicz, Donna Dillenberger, Javier Garcia-Garcia, Orla Hardiman, Bruce Hoff, Joshua Knight, Melanie L Leitner, Guang Li, Lara Mangravite, Thea Norman, Liuxia Wang, The ALS Stratification Consortium, Jinfeng Xiao, Wen-Chieh Fang, Jian Peng, Gustavo Stolovitzky
    Scientific Reports, (co-winner of the ALS DREAM challenge), 2018
  • Deciphering signaling specificity with interpretable deep neural networks
    Yunan Luo*, Jianzhu Ma*, Yang Liu, Qing Ye, Trey Ideker, Jian Peng#
    RECOMB, 2018
  • Metagenomic binning through low density hashing
    Yunan Luo, Y. William Yu, Jianyang Zeng, Bonnie Berger, Jian Peng#
    Bioinformatics, 2018
  • Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks
    Yang Liu*, Perry Palmedo*, Qing Ye, Bonnie Berger, Jian Peng#
    Cell Systems, 2018
  • Large-Scale Integration of Heterogeneous Pharmacogenomic Data for Identifying Drug Mechanism of Action
    Yunan Luo, Sheng Wang, Jinfeng Xiao and Jian Peng#
    PSB, 2018
  • Annotating gene sets by mining large literature collections with protein networks
    Sheng Wang*, Jianzhu Ma*, Michael Ku Yu, Fan Zheng, Edward W Huang, Jiawei Han, Jian Peng#, Trey Ideker#
    PSB, 2018
  • GEM: A manifold learning based framework for reconstructing spatial organizations of chromosomes
    Guangxiang Zhu, Wenxuan Deng, Hailin Hu, Rui Ma, Sai Zhang, Jinglin Yang, Jian Peng, Tommy Kaplan, Jianyang Zeng
    Nucleic Acids Research, bioRxiv:161208, 2018
  • A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
    Yaping Cai, Kaiyu Guan#, Jian Peng#, Shaowen Wang, Christopher Seifert, Brian Wardlow, Zhan Li
    Remote Sensing of Environment, 2018
  • A Network Integration Approach for Drug-Target Interaction Prediction and Drug Repositioning
    Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng#, Ligong Chen# and Jianyang Zeng#
    Nature Communications, 2017
  • Network-Assisted Target Identification for Haploinsufficiency and Homozygous Profiling Screens
    Sheng Wang and Jian Peng#
    PLOS Computational Biology, 2017
  • Genome-scale molecular networks link diverse neurodegenerative disease genes and processes to alpha-synuclein
    Khurana V*, Peng J*, Chung CY*, Auluck PK, Tardiff DF, Fanning S, Bartels T, Koeva M, Benyamini H, Lou Y, Nutter-Upham A, Tuncbag N, Baru V, Freyzon Y, Costanzo M, San-Luis B, Schöndorf DC, Barrasa MI, Caraveo G, Ehsani S, Sanjana N, Zhong Q, Gasser T, Vidal M, Deleidi M, Boone C, Fraenkel E#, Berger B#, Lindquist S#.
    Cell Systems, (Cover Article), 2017
  • A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information
    Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng#, Ligong Chen# and Jianyang Zeng#
    RECOMB, 2017
  • Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data
    Justin Guinney et al
    Lancet Oncology, 2017
  • ProSNet: integrating homology with molecular networks for protein function prediction
    Sheng Wang, Meng Qu, Jian Peng#
    PSB, 2017
  • Scalable Visualization for High-dimensional Single-cell Data
    Juho Kim, Nate Russell, Jian Peng#
    PSB, 2017
  • DWCox: A Density-Weighted Cox Model for Robust Prediction of Prostate Cancer Survival
    Jinfeng Xiao, Sheng Wang, Jingbo Shang, Henry Lin, Doris Xin, Xiang Ren, Jiawei Han, and Jian Peng
    F1000Research, 2016
  • Compact Integration of Multi-Network Topology for Functional Analysis of Genes
    Hyunghoon Cho, Bonnie Berger#, Jian Peng#
    Cell Systems, [F1000Prime Recommendation], 2016
  • Reconstructing Causal Biological Networks through Active Learning
    Hyunghoon Cho, Bonnie Berger and Jian Peng#
    PLOS ONE, 2016
  • Compressive Mapping for Next-Generation Sequencing
    Deniz Yorukoglu, William Y Yu, Jian Peng and Bonnie Berger
    Nature Biotechnology, 2016
  • Low-density locality-sensitive hashing boosts metagenomic binning
    Yunan Luo, Jianyang Zeng, Bonnie Berger# and Jian Peng#
    RECOMB, 2016
  • Complexes detection in biological networks via diversified dense subgraph mining
    Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng# and Jiawei Han#
    Journal of Computational Biology, 2017
    RECOMB, 2016
  • Protein secondary structure prediction using deep convolutional neural fields
    Sheng Wang, Jian Peng, Jianzhu Ma and Jinbo Xu
    Scientific Reports, 2016
  • Bermuda: Bidirectional de novo assembly of transcripts with new insights for handling uneven coverage
    Qingming Tang, Sheng Wang, Jian Peng, Jianzhu Ma and Jinbo Xu
    ACM-BCB, 2015
  • Discovering what dimensionality reduction really tells us about RNA-seq data
    Sean Simmons, Jian Peng, Jadwiga Bienkowska and Bonnie Berger
    Journal of Computational Biology, 2015
  • Exploiting Ontology Graph for Predicting Sparsely Annotated Gene Function
    Sheng Wang*, Hyunghoon Cho*, ChengXiang Zhai, Bonnie Berger and Jian Peng#
    ISMB/ECCB, 2015
    Bioinformatics, 2015
  • Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks
    Hyunghoon Cho, Bonnie Berger# and Jian Peng#
    RECOMB, 2015
  • iTreePack: Protein Complex Side-Chain Packing by Dual Decomposition
    Jian Peng, Raghavendra Hosur, Bonnie Berger, Jinbo Xu
  • Widespread Specific Macromolecular Interaction Perturbations in Human Genetic Disorders
    Sahni, N.*, Yi S.*, Taipale M.*, Fuxman Bass JI*, Coulombe-Huntington J.*, Yang F., Peng J., Weile J., Karras GI, Wang Y., Kovács IA, Kamburov A., Krykbaeva I., Lam MH, Tucker G., Khurana V., Sharma A., Liu YY, Yachie N., Zhong Q., Shen Y., Palagi A., San-Miguel A., Fan C., Balcha D., Dricot A., Jordan DM, Walsh JM, Shah AA, Yang X., Stoyanova AK, Leighton A., Calderwood MA, Jacob Y., Cusick ME, Salehi-Ashtiani K., Whitesell LJ, Sunyaev S., Berger B., Barabási AL, Charloteaux B., Hill DE, Hao T., Roth FP, Xia Y., Walhout AJ, Lindquist S.#, and Vidal M.#
    Cell, 2015
  • Quality Score Compression Improves Genotyping Accuracy
    Yun William Yu, Deniz Yorukoglu, Jian Peng and Bonnie Berger
    Nature Biotechnology, 2015
  • A Quantitative Chaperone Interaction Network Reveals the Architecture of Cellular Protein Homeostasis Pathways
    Mikko Taipale, George Tucker*, Jian Peng*, Irina Krykbaeva, Zhen-Yuan Lin, Brett Larsen, Hyungwon Choi, Bonnie Berger, Anne-Claude Gingras, and Susan Lindquist
    Cell, 2014
  • Selection bias at the heterosexual HIV-1 transmission bottleneck
    Jonathan M. Carlson, Malinda Schaefer, Daniela C. Monaco, Rebecca Batorsky, Daniel T. Claiborne, Jessica Prince, Martin J. Deymier, Zachary S. Ende, Nichole R. Klatt, Charles E. DeZiel, Tien-Ho Lin, Jian Peng, Aaron M. Seese, Roger Shapiro, John Frater, Thumbi Ndung'u, Jianming Tang, Paul Goepfert, Jill Gilmour, Matt A. Price, William Kilembe, David Heckerman, Philip J.R. Goulder, Todd M. Allen, Susan Allen, Eric Hunter
    Science, 2014
  • HIV control is mediated in part by CD8+ T-cell targeting of specific epitopes
    Florencia Pereyra, David Heckerman, Jonathan Carlson, Carl Kadie, Damien Soghoian, Daniel Karel, Ariel Goldenthal, Oliver Davis, Charles DeZiel, Tien-Ho Lin, Jian Peng, Alicja Piechocka-Trocha, Mary Carrington, and Bruce Walker
    Journal of Virology, 2014
  • A community effort to assess and improve drug sensitivity prediction algorithms
    James C. Costello et al
    Nature Biotechnology, 2014
  • A community computational challenge to predict the activity of pairs of compounds
    Mukesh Bansal et al
    Nature Biotechnology, 2014
  • HapTree: A novel Bayesian framework for single individual polyplotyping using NGS data
    Emily Berger, Deniz Yorukoglu, Jian Peng and Bonnie Berger
    RECOMB, 2014
    PLOS Computational Biology, 2014
  • Computational solutions for 'omics data
    Bonnie Berger*, Jian Peng* and Mona Singh*. (alphabetically ordered)
    Nature Review Genetics, 2013
  • Crowdsourcing for structured labeling with applications to protein folding
    Jian Peng, Qiang Liu, Alex Ihler and Bonnie Berger
    Machine Learning Meets Crowdsourcing Workshop, ICML, 2013 (oral presentation)
  • Compressive genomics for protein databases
    Noah Daniels, Andrew Gallant, Jian Peng, Lenore Cowen, Michael Baym and Bonnie Berger
    ISMB/ECCB, 2013
    Bioinformatics, 2013
  • Frequent and Variable Cytotoxic-T-Lymphocyte Escape-associated Fitness Costs in the Human Immunodeficiency Virus Type 1 Subtype B Gag Proteins
    Christian Boutwell, Jonathan Carlson, Tien-Ho Lin, Aaron Seese, Karen Power, Jian Peng, Yanhua Tang, Zabrina Brumme, David Heckerman, Arne Schneidewind, and Todd Allen
    Journal of Virology, 2013
  • Protein structure alignment beyond spatial proximity
    Sheng Wang, Jianzhu Ma, Jian Peng and Jinbo Xu
    Scientific Reports, 2013
    (Warren DeLano Award in ISMB 3DSIG 2012)
  • A computational framework for boosting confidence in high-throughput protein-protein interaction datasets
    Raghavendra Hosur, Jian Peng, Arunachalam Vinayagam, Ulrich Stelzl, Jinbo Xu, Norbert Perrimon, Jadwiga Bienkowska and Bonnie Berger
    Genome Biology, 2012
  • Template-based protein structure modeling using the RaptorX web server
    Morten Kallberg, Haipeng Wang, Sheng Wang, Jian Peng, Zhiyong Wang, Hui Lu and Jinbo Xu
    Nature Protocols, 2012
  • A Conditional Neural Fields model for protein threading
    Jianzhu Ma*, Jian Peng*, Sheng Wang and Jinbo Xu
    ISMB, 2012
    Bioinformatics, 2012 [Web Server]
  • Modeling large regions in proteins: Applications to loops, termini and folding
    Aashish N. Adhikari, Jian Peng, Michael Wilde, Jinbo Xu, Karl F. Freed and Tobin R. Sosnick
    Protein Science, 2012
  • RaptorX: exploiting structure information for protein alignment by statistical inference
    Jian Peng and Jinbo Xu
    Proteins: Structure, Function, and Bioinformatics, 2011
    Invited paper to CASP9 special issue
  • Structural Stability and Protein-Protein Binding Affinity Explains Fitness Effects of Common HLA Escape and Compensatory Mutations
    Jian Peng, Jonathan M. Carlson and David Heckerman
    The 18th Conference on Retroviruses and Opportunistic Infections
    (CROI), 2011
    Young Investigator Award
  • A multiple-template approach to protein threading
    Jian Peng and Jinbo Xu
    Proteins: Structure, Function, and Bioinformatics, 2011 [Web Server]
  • Alignment of distantly-related protein structures: algorithm, bound and implications to homology modeling
    Sheng Wang, Jian Peng and Jinbo Xu
    Bioinformatics, 2011 [Download 3DCOMB]
  • Protein 8-class Secondary Structure Prediction Using Conditional Neural Fields
    Zhiyong Wang, Feng Zhao, Jian Peng and Jinbo Xu
    Proteomics, 2011 [Software Download]
  • Integrating expression profiles and drug similarities for prediction of drug response
    Raghavendra Hosur*, Jian Peng* and Bonnie Berger
    Critical Assessment of Genome Interpretation 2011
    (CAGI), 2011
    Top performer on the breast cancer cell line pharmacogenomics challenge
  • Low-homology protein threading
    Jian Peng and Jinbo Xu
    ISMB, 2010
    Bioinformatics, 2010 [Web Server]
  • Fragment-free Approach to Protein Folding Using Conditional Neural Fields
    Feng Zhao, Jian Peng and Jinbo Xu
    ISMB, 2010
    Bioinformatics, 2010
    [Software Download] [User Guide]
  • A probabilistic and continuous model of protein conformational space for template-free modeling
    Feng Zhao, Jian Peng, Joe DeBartolo, Karl F. Freed, Tobin R. Sosnick and Jinbo Xu
    Journal of Computational Biology, 2010
  • Protein 8-class Secondary Structure Prediction Using Conditional Neural Fields
    Zhiyong Wang, Feng Zhao, Jian Peng and Jinbo Xu
    BIBM, 2010
  • Boosting Protein Threading Accuracy
    Jian Peng and Jinbo Xu
    RECOMB, 2009
    A poster on this paper won Best Poster Award in RECOMB 2009
  • A Probabilistic Graphical Model for Ab Initio Folding
    Feng Zhao*, Jian Peng*, Joe DeBartolo, Karl F. Freed, Tobin R. Sosnick and Jinbo Xu
    RECOMB, 2009
  • Template-based and free modeling by RAPTOR++ in CASP8
    Jinbo Xu, Jian Peng and Feng Zhao
    Proteins: Structure, Function, and Bioinformatics, 2009
    Invited paper to CASP8 special issue