Peng, Jian

74 publications

ICLR 2025 Group Ligands Docking to Protein Pockets Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma

ICLR 2025 Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

AAAI 2025 Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update Zikun Zhou, Wen Huang, Xingyi Wang, Zhishuo Zhang, Zhun Zhang, Jian Peng, Feihu Huang

AAAI 2025 PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting Canchen Yang, Tianyu Geng, Jian Peng, Chun Xu

NeurIPS 2024 Categorical Flow Matching on Statistical Manifolds Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu

NeurIPS 2024 Enhancing Protein Mutation Effect Prediction Through a Retrieval-Augmented Framework Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma

NeurIPS 2024 Enhancing Vision-Language Models for Medical Imaging: Bridging the 3D Gap with Innovative Slice Selection Yuli Wang, Jian Peng, Yuwei Dai, Craig Jones, Haris Sair, Jinglai Shen, Nicolas Loizou, Jing Wu, Wen-Chi Hsu, Maliha Imami, Zhicheng Jiao, Paul Zhang, Harrison Bai

ICML 2024 FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng

ICML 2024 Full-Atom Peptide Design Based on Multi-Modal Flow Matching Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma

ICLR 2024 InstaFlow: One Step Is Enough for High-Quality Diffusion-Based Text-to-Image Generation Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu

ICML 2024 Projecting Molecules into Synthesizable Chemical Spaces Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma

ICLR 2023 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma

ICML 2023 DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu

NeurIPS 2023 Equivariant Neural Operator Learning with Graphon Convolution Chaoran Cheng, Jian Peng

NeurIPS 2023 LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion Jiaqi Guan, Xingang Peng, PeiQi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma

ICLR 2023 MICN: Multi-Scale Local and Global Context Modeling for Long-Term Series Forecasting Huiqiang Wang, Jian Peng, Feihu Huang, Jince Wang, Junhui Chen, Yifei Xiao

ICLR 2023 Rotamer Density Estimator Is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma

NeurIPS 2022 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma

NeurIPS 2022 Efficient Meta Reinforcement Learning for Preference-Based Fast Adaptation Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma

ICLR 2022 Energy-Inspired Molecular Conformation Optimization Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng

CVPR 2022 Equivariant Point Cloud Analysis via Learning Orientations for Message Passing Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma

ICLR 2022 Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan, Jian Peng, Tanmay Gangwani

ICLR 2022 Imitation Learning from Observations Under Transition Model Disparity Tanmay Gangwani, Yuan Zhou, Jian Peng

ICMLW 2022 Is Self-Supervised Contrastive Learning More Robust than Supervised Learning? Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang

ICLR 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng

ICML 2022 Off-Policy Reinforcement Learning with Delayed Rewards Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng

ICML 2022 Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma

ICML 2022 Proximal Exploration for Model-Guided Protein Sequence Design Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng

NeurIPS 2021 A 3D Generative Model for Structure-Based Drug Design Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng

CVPR 2021 DAP: Detection-Aware Pre-Training with Weak Supervision Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang

NeurIPSW 2021 Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan, Jian Peng, Tanmay Gangwani

NeurIPSW 2021 Imitation Learning from Observations Under Transition Model Disparity Tanmay Gangwani, Yuan Zhou, Jian Peng

ICLR 2021 Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang

UAI 2021 PALM: Probabilistic Area Loss Minimization for Protein Sequence Alignment Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue

ICCV 2021 Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang

ICML 2020 A Chance-Constrained Generative Framework for Sequence Optimization Xianggen Liu, Qiang Liu, Sen Song, Jian Peng

AISTATS 2020 A PTAS for the Bayesian Thresholding Bandit Problem Jian Peng, Yue Qin, Yadi Wei, Yuan Zhou

WACV 2020 Anchor Box Optimization for Object Detection Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang

ECCV 2020 Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang

CoRL 2020 Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani, Jian Peng, Yuan Zhou

NeurIPS 2020 Learning Guidance Rewards with Trajectory-Space Smoothing Tanmay Gangwani, Yuan Zhou, Jian Peng

UAI 2020 Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch Michael Wan, Tanmay Gangwani, Jian Peng

NeurIPS 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu

COLT 2020 Root-N-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou

ICLR 2020 State-Only Imitation with Transition Dynamics Mismatch Tanmay Gangwani, Jian Peng

AISTATS 2020 Stein Variational Inference for Discrete Distributions Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, 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

ICLR 2019 Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang

NeurIPS 2019 Exploration via Hindsight Goal Generation Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng

ICLR 2019 Knowledge Flow: Improve upon Your Teachers Iou-Jen Liu, Jian Peng, Alexander Schwing

AISTATS 2019 Large-Margin Classification in Hyperbolic Space Hyunghoon Cho, Benjamin DeMeo, Jian Peng, Bonnie Berger

UAI 2019 Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng

ICLR 2019 Learning Self-Imitating Diverse Policies Tanmay Gangwani, Qiang Liu, Jian Peng

ICLR 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

ICML 2019 Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization Chengyue Gong, Jian Peng, Qiang Liu

NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret Chao Tao, Saúl Blanco, Jian Peng, Yuan Zhou

ICLR 2018 Action-Dependent Control Variates for Policy Optimization via Stein Identity Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

IJCAI 2018 Efficient Localized Inference for Large Graphical Models Jinglin Chen, Jian Peng, Qiang Liu

AAAI 2018 Empower Sequence Labeling with Task-Aware Neural Language Model Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han

IJCAI 2018 Energy-Efficient Amortized Inference with Cascaded Deep Classifiers Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng

ICML 2018 Learning to Explore via Meta-Policy Gradient Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng

ICLR 2018 Policy Optimization by Genetic Distillation Tanmay Gangwani, Jian Peng

ECML-PKDD 2018 Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han

ICLR 2017 Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng

AISTATS 2017 On the Interpretability of Conditional Probability Estimates in the Agnostic Setting Yihan Gao, Aditya G. Parameswaran, Jian Peng

UAI 2017 Stein Variational Policy Gradient Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng

UAI 2015 Estimating the Partition Function by Discriminance Sampling Qiang Liu, Jian Peng, Alexander Ihler, John W. Fisher Iii

ECML-PKDD 2015 Exact Hybrid Covariance Thresholding for Joint Graphical Lasso Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu

AISTATS 2013 Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu

AISTATS 2012 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu

UAI 2012 Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs Tamir Hazan, Jian Peng, Amnon Shashua

NeurIPS 2012 Variational Inference for Crowdsourcing Qiang Liu, Jian Peng, Alex Ihler

ICML 2011 Convex Max-Product over Compact Sets for Protein Folding Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun

NeurIPS 2009 Conditional Neural Fields Jian Peng, Liefeng Bo, Jinbo Xu