Jian Peng - RankMe

195 papers A* 43A 18B 13Misc 6Journal 97Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Protein Structure Representation with Orientation-Aware Networks. J. Comput. Biol. Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
2025	A*	`conf`	Group Ligands Docking to Protein Pockets. ICLR Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma
2025	J	`jnl`	Group Ligands Docking to Protein Pockets. CoRR Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma
2025	B	`conf`	Orientation-Aware Networks for Protein Structure Representation Learning. RECOMB Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
2024	J	`jnl`	Analyzing Large-Scale Single-Cell RNA-Seq Data Using Coreset. IEEE ACM Trans. Comput. Biol. Bioinform. Khalid Usman, Fangping Wan, Dan Zhao, Jian Peng, Jianyang Zeng
2024	A*	`conf`	Categorical Flow Matching on Statistical Manifolds. NeurIPS Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu
2024	J	`jnl`	Categorical Flow Matching on Statistical Manifolds. CoRR Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu
2024	J	`jnl`	DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. CoRR Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
2024	A*	`conf`	Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework. NeurIPS Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma
2024	A*	`conf`	FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. ICML Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng
2024	J	`jnl`	FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. CoRR Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng
2024	B	`conf`	FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters. PPoPP Shenggan Cheng, Xuanlei Zhao, Guangyang Lu, Jiarui Fang, Tian Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, Yang You
2024	A*	`conf`	Full-Atom Peptide Design based on Multi-modal Flow Matching. ICML Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma
2024	J	`jnl`	Full-Atom Peptide Design based on Multi-modal Flow Matching. CoRR Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma
2024	J	`jnl`	Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. CoRR Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma
2024	A*	`conf`	InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation. ICLR Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu
2024	A*	`conf`	Projecting Molecules into Synthesizable Chemical Spaces. ICML Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma
2024	J	`jnl`	Projecting Molecules into Synthesizable Chemical Spaces. CoRR Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma
2023	A*	`conf`	3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. ICLR Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
2023	J	`jnl`	3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. CoRR Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
2023	J	`jnl`	Calibrated geometric deep learning improves kinase-drug binding predictions. Nat. Mac. Intell. Yunan Luo, Yang Liu, Jian Peng
2023	A*	`conf`	DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. ICML Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
2023	A*	`conf`	Equivariant Neural Operator Learning with Graphon Convolution. NeurIPS Chaoran Cheng, Jian Peng
2023	J	`jnl`	Equivariant Neural Operator Learning with Graphon Convolution. CoRR Chaoran Cheng, Jian Peng
2023	A*	`conf`	LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion. NeurIPS Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma
2023	A*	`conf`	Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction. ICLR Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma
2022	J	`jnl`	A 3D Molecule Generative Model for Structure-Based Drug Design. CoRR Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
2022	A*	`conf`	Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures. NeurIPS Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma
2022	A	`conf`	Characterizing Attacks on Deep Reinforcement Learning. AAMAS Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song
2022	J	`jnl`	Directed Weight Neural Networks for Protein Structure Representation Learning. CoRR Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
2022	A*	`conf`	Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. NeurIPS Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
2022	J	`jnl`	Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. CoRR Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
2022	A*	`conf`	Energy-Inspired Molecular Conformation Optimization. ICLR Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng
2022	A*	`conf`	Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CVPR Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
2022	J	`jnl`	Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CoRR Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
2022	J	`jnl`	FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours. CoRR Shenggan Cheng, Ruidong Wu, Zhongming Yu, Bin-Rui Li, Xiwen Zhang, Jian Peng, Yang You
2022	A*	`conf`	Hindsight Foresight Relabeling for Meta-Reinforcement Learning. ICLR Michael Wan, Jian Peng, Tanmay Gangwani
2022	A*	`conf`	Imitation Learning from Observations under Transition Model Disparity. ICLR Tanmay Gangwani, Yuan Zhou, Jian Peng
2022	J	`jnl`	Imitation Learning from Observations under Transition Model Disparity. CoRR Tanmay Gangwani, Yuan Zhou, Jian Peng
2022	J	`jnl`	Is Self-Supervised Learning More Robust Than Supervised Learning? CoRR Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Jian Peng, Yu-Xiong Wang
2022	A*	`conf`	Learning Long-Term Reward Redistribution via Randomized Return Decomposition. ICLR Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
2022	A*	`conf`	Off-Policy Reinforcement Learning with Delayed Rewards. ICML Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
2022	A*	`conf`	Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. ICML Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
2022	J	`jnl`	Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. CoRR Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
2022	A*	`conf`	Proximal Exploration for Model-guided Protein Sequence Design. ICML Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng
2022	J	`jnl`	RECOMB 2021 Special Issue. J. Comput. Biol. Jian Peng
2022	J	`jnl`	RECOMB 2021 Special Issue. J. Comput. Biol. Jian Peng
2021	A*	`conf`	A 3D Generative Model for Structure-Based Drug Design. NeurIPS Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
2021	J	`jnl`	Bayesian information sharing enhances detection of regulatory associations in rare cell types. Bioinform. Alexander P. Wu, Jian Peng, Bonnie Berger, Hyunghoon Cho
2021	J	`jnl`	Coordinate-wise Control Variates for Deep Policy Gradients. CoRR Yuanyi Zhong, Yuan Zhou, Jian Peng
2021	A*	`conf`	DAP: Detection-Aware Pre-Training With Weak Supervision. CVPR Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
2021	J	`jnl`	DAP: Detection-Aware Pre-training with Weak Supervision. CoRR Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
2021	J	`jnl`	Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLoS Comput. Biol. Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng
2021	J	`jnl`	Hindsight Foresight Relabeling for Meta-Reinforcement Learning. CoRR Michael Wan, Jian Peng, Tanmay Gangwani
2021	J	`jnl`	Learning Long-Term Reward Redistribution via Randomized Return Decomposition. CoRR Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
2021	A*	`conf`	Learning Neural Generative Dynamics for Molecular Conformation Generation. ICLR Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
2021	J	`jnl`	Learning Neural Generative Dynamics for Molecular Conformation Generation. CoRR Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
2021	J	`jnl`	Off-Policy Reinforcement Learning with Delayed Rewards. CoRR Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
2021	A	`conf`	PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. UAI Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue
2021	A*	`conf`	Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. ICCV Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
2021	J	`jnl`	Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. CoRR Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
2020	A*	`conf`	A Chance-Constrained Generative Framework for Sequence Optimization. ICML Xianggen Liu, Qiang Liu, Sen Song, Jian Peng
2020	A	`conf`	A PTAS for the Bayesian Thresholding Bandit Problem. AISTATS Yue Qin, Jian Peng, Yuan Zhou
2020	J	`jnl`	Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion. CoRR Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
2020	A	`conf`	Anchor Box Optimization for Object Detection. WACV Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
2020	J	`jnl`	Batch equalization with a generative adversarial network. Bioinform. Wesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, Arunachalam Narayanaswamy, Michelle Dimon, George W. Ashdown, Jake Baum, Jian Peng, D. Michael Ando
2020	—	`conf`	Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. ECCV (26) Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
2020	J	`jnl`	Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. CoRR Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
2020	Misc	`conf`	Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning. ICASSP Yuanyi Zhong, Alexander G. Schwing, Jian Peng
2020	J	`jnl`	Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning. CoRR Yuanyi Zhong, Alexander G. Schwing, Jian Peng
2020	J	`jnl`	Efficient Competitive Self-Play Policy Optimization. CoRR Yuanyi Zhong, Yuan Zhou, Jian Peng
2020	B	`conf`	Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering. RECOMB Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng
2020	—	`conf`	HAL: Computer System for Scalable Deep Learning. PEARC Volodymyr V. Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Benjamin Rabe, Ke Xu, Roy H. Campbell, Jian Peng, William Gropp
2020	Misc	`conf`	Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRL Tanmay Gangwani, Jian Peng, Yuan Zhou
2020	J	`jnl`	Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRR Tanmay Gangwani, Jian Peng, Yuan Zhou
2020	A*	`conf`	Learning Guidance Rewards with Trajectory-space Smoothing. NeurIPS Tanmay Gangwani, Yuan Zhou, Jian Peng
2020	J	`jnl`	Learning Guidance Rewards with Trajectory-space Smoothing. CoRR Tanmay Gangwani, Yuan Zhou, Jian Peng
2020	A	`conf`	Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. UAI Michael Wan, Tanmay Gangwani, Jian Peng
2020	J	`jnl`	Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. CoRR Michael Wan, Tanmay Gangwani, Jian Peng
2020	A*	`conf`	Off-Policy Interval Estimation with Lipschitz Value Iteration. NeurIPS Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
2020	J	`jnl`	Off-Policy Interval Estimation with Lipschitz Value Iteration. CoRR Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
2020	J	`jnl`	Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity. CoRR Xianggen Liu, Yunan Luo, Sen Song, Jian Peng
2020	A*	`conf`	Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. COLT Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
2020	J	`jnl`	STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10 m, Daily, and Cloud-/Gap-Free Surface Reflectance Product. Remote. Sens. Yunan Luo, Kaiyu Guan, Jian Peng, Sibo Wang, Yizhi Huang
2020	A*	`conf`	State-only Imitation with Transition Dynamics Mismatch. ICLR Tanmay Gangwani, Jian Peng
2020	J	`jnl`	State-only Imitation with Transition Dynamics Mismatch. CoRR Tanmay Gangwani, Jian Peng
2020	A	`conf`	Stein Variational Inference for Discrete Distributions. AISTATS Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
2020	J	`jnl`	Stein Variational Inference for Discrete Distributions. CoRR Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
2020	J	`jnl`	When causal inference meets deep learning. Nat. Mach. Intell. Yunan Luo, Jian Peng, Jianzhu Ma
2020	J	`jnl`	cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han
2019	A*	`conf`	A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization. ICML Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng
2019	J	`jnl`	A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization. CoRR Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng
2019	—	`conf`	Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion. ICLR (Poster) Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
2019	J	`jnl`	Characterizing Attacks on Deep Reinforcement Learning. CoRR Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song
2019	J	`jnl`	DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network. CoRR Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang
2019	A*	`conf`	Exploration via Hindsight Goal Generation. NeurIPS Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
2019	J	`jnl`	Exploration via Hindsight Goal Generation. CoRR Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
2019	A	`conf`	HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CIKM Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
2019	J	`jnl`	HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CoRR Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
2019	J	`jnl`	Identification of pathways associated with chemosensitivity through network embedding. PLoS Comput. Biol. Sheng Wang, Edward W. Huang, Junmei Cairns, Jian Peng, Liewei Wang, Saurabh Sinha
2019	J	`jnl`	Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction. PLoS Comput. Biol. Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, Jian Peng
2019	—	`conf`	Knowledge Flow: Improve Upon Your Teachers. ICLR (Poster) Iou-Jen Liu, Jian Peng, Alexander G. Schwing
2019	J	`jnl`	Knowledge Flow: Improve Upon Your Teachers. CoRR Iou-Jen Liu, Jian Peng, Alexander G. Schwing
2019	A	`conf`	Large-Margin Classification in Hyperbolic Space. AISTATS Hyunghoon Cho, Benjamin Demeo, Jian Peng, Bonnie Berger
2019	A	`conf`	Learning Belief Representations for Imitation Learning in POMDPs. UAI Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
2019	J	`jnl`	Learning Belief Representations for Imitation Learning in POMDPs. CoRR Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
2019	—	`conf`	Learning Self-Imitating Diverse Policies. ICLR (Poster) Tanmay Gangwani, Qiang Liu, Jian Peng
2019	J	`jnl`	Metagenomic binning through low-density hashing. Bioinform. Yunan Luo, Yun William Yu, Jianyang Zeng, Bonnie Berger, Jian Peng
2019	B	`conf`	Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. RECOMB Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng
2019	—	`conf`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. ICLR (Poster) Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
2019	A*	`conf`	Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization. ICML Chengyue Gong, Jian Peng, Qiang Liu
2019	—	`conf`	REINAM: reinforcement learning for input-grammar inference. ESEC/SIGSOFT FSE Zhengkai Wu, Evan Johnson, Wei Yang, Osbert Bastani, Dawn Song, Jian Peng, Tao Xie
2019	J	`jnl`	Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. CoRR Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng
2019	J	`jnl`	Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
2019	A	`conf`	Stochastic Variance Reduction for Deep Q-learning. AAMAS Wei-Ye Zhao, Jian Peng
2019	J	`jnl`	Stochastic Variance Reduction for Deep Q-learning. CoRR Wei-Ye Zhao, Xiya Guan, Yang Liu, Xiaoming Zhao, Jian Peng
2019	A*	`conf`	Thresholding Bandit with Optimal Aggregate Regret. NeurIPS Chao Tao, Saúl A. Blanco, Jian Peng, Yuan Zhou
2019	J	`jnl`	Thresholding Bandit with Optimal Aggregate Regret. CoRR Chao Tao, Saúl A. Blanco, Jian Peng, Yuan Zhou
2019	J	`jnl`	√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. CoRR Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
2018	—	`conf`	Action-dependent Control Variates for Policy Optimization via Stein Identity. ICLR (Poster) Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
2018	J	`jnl`	Anchor Box Optimization for Object Detection. CoRR Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
2018	Misc	`conf`	Annotating gene sets by mining large literature collections with protein networks. PSB Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker
2018	J	`jnl`	DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE Trans. Knowl. Data Eng. Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han
2018	B	`conf`	Deciphering Signaling Specificity with Deep Neural Networks. RECOMB Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng
2018	A*	`conf`	Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. EMNLP Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han
2018	J	`jnl`	Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han
2018	A*	`conf`	Efficient Localized Inference for Large Graphical Models. IJCAI Jinglin Chen, Jian Peng, Qiang Liu
2018	A*	`conf`	Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han
2018	A*	`conf`	Energy-efficient Amortized Inference with Cascaded Deep Classifiers. IJCAI Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
2018	—	`conf`	Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping. ICLR (Workshop) Keyi Yu, Yang Liu, Alexander G. Schwing, Jian Peng
2018	B	`conf`	Generalizable Visualization of Mega-Scale Single-Cell Data. RECOMB Hyunghoon Cho, Bonnie Berger, Jian Peng
2018	J	`jnl`	Large-Margin Classification in Hyperbolic Space. CoRR Hyunghoon Cho, Benjamin Demeo, Jian Peng, Bonnie Berger
2018	Misc	`conf`	Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action. PSB Yunan Luo, Sheng Wang, Jinfeng Xiao, Jian Peng
2018	J	`jnl`	Learning Self-Imitating Diverse Policies. CoRR Tanmay Gangwani, Qiang Liu, Jian Peng
2018	J	`jnl`	Learning structural motif representations for efficient protein structure search. Bioinform. Yang Liu, Qing Ye, Liwei Wang, Jian Peng
2018	A*	`conf`	Learning to Explore via Meta-Policy Gradient. ICML Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng
2018	J	`jnl`	Learning to Explore with Meta-Policy Gradient. CoRR Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng
2018	J	`jnl`	Low-Norm Graph Embedding. CoRR Yihan Gao, Chao Zhang, Jian Peng, Aditya G. Parameswaran
2018	J	`jnl`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. CoRR Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
2018	—	`conf`	Policy Optimization by Genetic Distillation. ICLR (Poster) Tanmay Gangwani, Jian Peng
2018	A*	`conf`	SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. EMNLP Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
2018	—	`conf`	Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. ECML/PKDD (2) Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
2018	A*	`conf`	emrQA: A Large Corpus for Question Answering on Electronic Medical Records. EMNLP Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng
2018	J	`jnl`	emrQA: A Large Corpus for Question Answering on Electronic Medical Records. CoRR Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng
2017	B	`conf`	A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. RECOMB Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng
2017	J	`jnl`	Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining. J. Comput. Biol. Xiuli Ma, Guangyu Zhou, Jingbo Shang, Jingjing Wang, Jian Peng, Jiawei Han
2017	J	`jnl`	Efficient Localized Inference for Large Graphical Models. CoRR Jinglin Chen, Jian Peng, Qiang Liu
2017	J	`jnl`	Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han
2017	J	`jnl`	Energy-efficient Amortized Inference with Cascaded Deep Classifiers. CoRR Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
2017	J	`jnl`	Genetic Policy Optimization. CoRR Tanmay Gangwani, Jian Peng
2017	—	`conf`	Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. ICLR (Poster) Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng
2017	J	`jnl`	Network-assisted target identification for haploinsufficiency and homozygous profiling screens. PLoS Comput. Biol. Sheng Wang, Jian Peng
2017	A	`conf`	On the Interpretability of Conditional Probability Estimates in the Agnostic Setting. AISTATS Yihan Gao, Aditya G. Parameswaran, Jian Peng
2017	Misc	`conf`	ProSNet: integrating homology with molecular networks for protein function prediction. PSB Sheng Wang, Meng Qu, Jian Peng
2017	J	`jnl`	Sample-efficient Policy Optimization with Stein Control Variate. CoRR Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
2017	Misc	`conf`	Scalable Visualization for High-dimensional Single-cell Data. PSB Juho Kim, Nate Russell, Jian Peng
2017	A	`conf`	Stein Variational Policy Gradient. UAI Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng
2017	J	`jnl`	Stein Variational Policy Gradient. CoRR Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng
2017	J	`jnl`	Stochastic Variance Reduction for Policy Gradient Estimation. CoRR Tianbing Xu, Qiang Liu, Jian Peng
2016	B	`conf`	Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining. RECOMB Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng, Jiawei Han
2016	J	`jnl`	Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining. CoRR Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng, Jiawei Han
2016	A	`conf`	DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. SDM Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han
2016	J	`jnl`	DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. CoRR Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han
2016	—	`conf`	Exploiting temporal divergence of topic distributions for event detection. IEEE BigData Rongda Zhu, Aston Zhang, Jian Peng, ChengXiang Zhai
2016	J	`jnl`	Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. CoRR Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng
2016	B	`conf`	Low-Density Locality-Sensitive Hashing Boosts Metagenomic Binning. RECOMB Yunan Luo, Jianyang Zeng, Bonnie Berger, Jian Peng
2016	A	`conf`	MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. SDM Jingbo Shang, Jian Peng, Jiawei Han
2016	J	`jnl`	Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng
2015	—	`conf`	Bermuda: de novo assembly of transcripts with new insights for handling uneven coverage. BCB Qingming Tang, Sheng Wang, Jian Peng, Jianzhu Ma, Jinbo Xu
2015	B	`conf`	Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks. RECOMB Hyunghoon Cho, Bonnie Berger, Jian Peng
2015	J	`jnl`	Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks. CoRR Hyunghoon Cho, Bonnie Berger, Jian Peng
2015	J	`jnl`	Discovering What Dimensionality Reduction Really Tells Us About RNA-Seq Data. J. Comput. Biol. Sean Simmons, Jian Peng, Jadwiga R. Bienkowska, Bonnie Berger
2015	A	`conf`	Estimating the Partition Function by Discriminance Sampling. UAI Qiang Liu, Jian Peng, Alexander Ihler, John W. Fisher III
2015	—	`conf`	Exact Hybrid Covariance Thresholding for Joint Graphical Lasso. ECML/PKDD (2) Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu
2015	J	`jnl`	Exact Hybrid Covariance Thresholding for Joint Graphical Lasso. CoRR Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu
2015	J	`jnl`	Exploiting ontology graph for predicting sparsely annotated gene function. Bioinform. Sheng Wang, Hyunghoon Cho, ChengXiang Zhai, Bonnie Berger, Jian Peng
2015	J	`jnl`	Protein secondary structure prediction using deep convolutional neural fields. CoRR Sheng Wang, Jian Peng, Jianzhu Ma, Jinbo Xu
2014	B	`conf`	HapTree: A Novel Bayesian Framework for Single Individual Polyplotyping Using NGS Data. RECOMB Emily Berger, Deniz Yörükoglu, Jian Peng, Bonnie Berger
2014	J	`jnl`	HapTree: A Novel Bayesian Framework for Single Individual Polyplotyping Using NGS Data. PLoS Comput. Biol. Emily Berger, Deniz Yörükoglu, Jian Peng, Bonnie Berger
2013	J	`jnl`	Compressive genomics for protein databases. Bioinform. Noah M. Daniels, Andrew Gallant, Jian Peng, Lenore J. Cowen, Michael Baym, Bonnie Berger
2013	A	`conf`	Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling. AISTATS Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu
2012	J	`jnl`	A conditional neural fields model for protein threading. Bioinform. Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu
2012	A	`conf`	Approximate Inference by Intersecting Semidefinite Bound and Local Polytope. AISTATS Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu
2012	J	`jnl`	Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs CoRR Tamir Hazan, Jian Peng, Amnon Shashua
2012	A	`conf`	Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. UAI Tamir Hazan, Jian Peng, Amnon Shashua
2012	—	`conf`	Variational Inference for Crowdsourcing. NIPS Qiang Liu, Jian Peng, Alexander Ihler
2011	J	`jnl`	Alignment of distantly related protein structures: algorithm, bound and implications to homology modeling. Bioinform. Sheng Wang, Jian Peng, Jinbo Xu
2011	A*	`conf`	Convex Max-Product over Compact Sets for Protein Folding. ICML Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun
2010	J	`jnl`	A Probabilistic and Continuous Model of Protein Conformational Space for Template-Free Modeling. J. Comput. Biol. Feng Zhao, Jian Peng, Joe DeBartolo, Karl F. Freed, Tobin R. Sosnick, Jinbo Xu
2010	J	`jnl`	Fragment-free approach to protein folding using conditional neural fields. Bioinform. Feng Zhao, Jian Peng, Jinbo Xu
2010	J	`jnl`	Low-homology protein threading. Bioinform. Jian Peng, Jinbo Xu
2010	—	`conf`	Protein 8-class secondary structure prediction using Conditional Neural Fields. BIBM Zhiyong Wang, Feng Zhao, Jian Peng, Jinbo Xu
2009	B	`conf`	A Probabilistic Graphical Model for Ab Initio Folding. RECOMB Feng Zhao, Jian Peng, Joe DeBartolo, Karl F. Freed, Tobin R. Sosnick, Jinbo Xu
2009	B	`conf`	Boosting Protein Threading Accuracy. RECOMB Jian Peng, Jinbo Xu
2009	—	`conf`	Conditional Neural Fields. NIPS Jian Peng, Liefeng Bo, Jinbo Xu