Jian Peng

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 144

Top Venues

Publications

Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma
Projecting Molecules into Synthesizable Chemical Spaces. CoRR (2024)
Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. CoRR (2024)
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. CoRR (2024)
Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu
Categorical Flow Matching on Statistical Manifolds. CoRR (2024)
Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation. ICLR (2024)
Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma
Full-Atom Peptide Design based on Multi-modal Flow Matching. CoRR (2024)
Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion. NeurIPS (2023)
Chaoran Cheng, Jian Peng
Equivariant Neural Operator Learning with Graphon Convolution. CoRR (2023)
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. ICML (2023)
Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. ICLR (2023)
Chaoran Cheng, Jian Peng
Equivariant Neural Operator Learning with Graphon Convolution. NeurIPS (2023)
Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction. ICLR (2023)
Yunan Luo, Yang Liu, Jian Peng
Calibrated geometric deep learning improves kinase-drug binding predictions. Nat. Mac. Intell. 5 (12) (2023)
Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. CoRR (2023)
Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song
Characterizing Attacks on Deep Reinforcement Learning. AAMAS (2022)
Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
Off-Policy Reinforcement Learning with Delayed Rewards. ICML (2022)
Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CVPR (2022)
Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng
Energy-Inspired Molecular Conformation Optimization. ICLR (2022)
Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. ICML (2022)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. NeurIPS (2022)
Tanmay Gangwani, Yuan Zhou, Jian Peng
Imitation Learning from Observations under Transition Model Disparity. ICLR (2022)
Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng
Proximal Exploration for Model-guided Protein Sequence Design. ICML (2022)
Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CoRR (2022)
Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
Learning Long-Term Reward Redistribution via Randomized Return Decomposition. ICLR (2022)
Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
Directed Weight Neural Networks for Protein Structure Representation Learning. CoRR (2022)
Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang
Is Self-Supervised Learning More Robust Than Supervised Learning? CoRR (2022)
Michael Wan, Jian Peng, Tanmay Gangwani
Hindsight Foresight Relabeling for Meta-Reinforcement Learning. ICLR (2022)
Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
A 3D Molecule Generative Model for Structure-Based Drug Design. CoRR (2022)
Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures. NeurIPS (2022)
Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. CoRR (2022)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. CoRR (2022)
Tanmay Gangwani, Yuan Zhou, Jian Peng
Imitation Learning from Observations under Transition Model Disparity. CoRR (2022)
Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. UAI (2021)
Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
A 3D Generative Model for Structure-Based Drug Design. NeurIPS (2021)
Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. CoRR (2021)
Alexander P. Wu, Jian Peng, Bonnie Berger, Hyunghoon Cho
Bayesian information sharing enhances detection of regulatory associations in rare cell types. Bioinform. 37 (Supplement) (2021)
Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
DAP: Detection-Aware Pre-training with Weak Supervision. CoRR (2021)
Yuanyi Zhong, Yuan Zhou, Jian Peng
Coordinate-wise Control Variates for Deep Policy Gradients. CoRR (2021)
Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLoS Comput. Biol. 17 (8) (2021)
Michael Wan, Jian Peng, Tanmay Gangwani
Hindsight Foresight Relabeling for Meta-Reinforcement Learning. CoRR (2021)
Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. ICCV (2021)
Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
Off-Policy Reinforcement Learning with Delayed Rewards. CoRR (2021)
Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
Learning Long-Term Reward Redistribution via Randomized Return Decomposition. CoRR (2021)
Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
Anchor Box Optimization for Object Detection. WACV (2020)
Yunan Luo, Jian Peng, Jianzhu Ma
When causal inference meets deep learning. Nat. Mach. Intell. 2 (8) (2020)
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
Stein Variational Inference for Discrete Distributions. CoRR (2020)
Tanmay Gangwani, Yuan Zhou, Jian Peng
Learning Guidance Rewards with Trajectory-space Smoothing. NeurIPS (2020)
Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. ECCV (26) (2020)
Yue Qin, Jian Peng, Yuan Zhou
A PTAS for the Bayesian Thresholding Bandit Problem. AISTATS (2020)
Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. CoRR (2020)
Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
Off-Policy Interval Estimation with Lipschitz Value Iteration. NeurIPS (2020)
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
Stein Variational Inference for Discrete Distributions. AISTATS (2020)
Xianggen Liu, Yunan Luo, Sen Song, Jian Peng
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity. CoRR (2020)
Tanmay Gangwani, Jian Peng, Yuan Zhou
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRL (2020)
Tanmay Gangwani, Jian Peng
State-only Imitation with Transition Dynamics Mismatch. CoRR (2020)
Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR (2020)
Yuanyi Zhong, Yuan Zhou, Jian Peng
Efficient Competitive Self-Play Policy Optimization. CoRR (2020)
Yuanyi Zhong, Alexander G. Schwing, Jian Peng
Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning. ICASSP (2020)
Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng
Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering. RECOMB (2020)
Yuanyi Zhong, Alexander G. Schwing, Jian Peng
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning. CoRR (2020)
Volodymyr V. Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Benjamin Rabe, Ke Xu, Roy H. Campbell, Jian Peng, William Gropp
HAL: Computer System for Scalable Deep Learning. PEARC (2020)
Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. COLT (2020)
Michael Wan, Tanmay Gangwani, Jian Peng
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. CoRR (2020)
Tanmay Gangwani, Yuan Zhou, Jian Peng
Learning Guidance Rewards with Trajectory-space Smoothing. CoRR (2020)
Tanmay Gangwani, Jian Peng
State-only Imitation with Transition Dynamics Mismatch. ICLR (2020)
Yunan Luo, Kaiyu Guan, Jian Peng, Sibo Wang, Yizhi Huang
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. 12 (19) (2020)
Michael Wan, Tanmay Gangwani, Jian Peng
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. UAI (2020)
Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
Off-Policy Interval Estimation with Lipschitz Value Iteration. CoRR (2020)
Xianggen Liu, Qiang Liu, Sen Song, Jian Peng
A Chance-Constrained Generative Framework for Sequence Optimization. ICML (2020)
Tanmay Gangwani, Jian Peng, Yuan Zhou
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRR (2020)
Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. CoRR (2019)
Wei-Ye Zhao, Jian Peng
Stochastic Variance Reduction for Deep Q-learning. AAMAS (2019)
Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization. CoRR (2019)
Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
Learning Belief Representations for Imitation Learning in POMDPs. CoRR (2019)
Chao Tao, Saúl A. Blanco, Jian Peng, Yuan Zhou
Thresholding Bandit with Optimal Aggregate Regret. CoRR (2019)
Wei-Ye Zhao, Xiya Guan, Yang Liu, Xiaoming Zhao, Jian Peng
Stochastic Variance Reduction for Deep Q-learning. CoRR (2019)
Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, Jian Peng
Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction. PLoS Comput. Biol. 15 (9) (2019)
Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR (2019)
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
Exploration via Hindsight Goal Generation. NeurIPS (2019)
Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
Learning Belief Representations for Imitation Learning in POMDPs. UAI (2019)
Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization. ICML (2019)
Iou-Jen Liu, Jian Peng, Alexander G. Schwing
Knowledge Flow: Improve Upon Your Teachers. ICLR (Poster) (2019)
Sheng Wang, Edward W. Huang, Junmei Cairns, Jian Peng, Liewei Wang, Saurabh Sinha
Identification of pathways associated with chemosensitivity through network embedding. PLoS Comput. Biol. 15 (3) (2019)
Yunan Luo, Yun William Yu, Jianyang Zeng, Bonnie Berger, Jian Peng
Metagenomic binning through low-density hashing. Bioinform. 35 (2) (2019)
Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng
Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. RECOMB (2019)
Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. CoRR (2019)
Hyunghoon Cho, Benjamin Demeo, Jian Peng, Bonnie Berger
Large-Margin Classification in Hyperbolic Space. AISTATS (2019)
Tanmay Gangwani, Qiang Liu, Jian Peng
Learning Self-Imitating Diverse Policies. ICLR (Poster) (2019)
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
Exploration via Hindsight Goal Generation. CoRR (2019)
Iou-Jen Liu, Jian Peng, Alexander G. Schwing
Knowledge Flow: Improve Upon Your Teachers. CoRR (2019)
Chao Tao, Saúl A. Blanco, Jian Peng, Yuan Zhou
Thresholding Bandit with Optimal Aggregate Regret. NeurIPS (2019)
ChengYue Gong, Jian Peng, Qiang Liu
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization. ICML (2019)
Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion. ICLR (Poster) (2019)
Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network. CoRR (2019)
Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. ICLR (Poster) (2019)
Hyunghoon Cho, Bonnie Berger, Jian Peng
Generalizable Visualization of Mega-Scale Single-Cell Data. RECOMB (2018)
Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR (2018)
Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng
Learning to Explore via Meta-Policy Gradient. ICML (2018)
Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE Trans. Knowl. Data Eng. 30 (7) (2018)
Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. EMNLP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jian Peng