Jian Peng

Rejoining Precious Artifacts: Efficiently Bone Stick Rejoining Based Massive Fragment Images by Contour, Script, and Texture AAAI 2026 Group Ligands Docking to Protein Pockets ICLR 2025 Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension ICLR 2025 Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025 PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting AAAI 2025 Categorical Flow Matching on Statistical Manifolds NeurIPS 2024 Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework NeurIPS 2024 Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection NeurIPS 2024 FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames ICML 2024 Full-Atom Peptide Design based on Multi-modal Flow Matching ICML 2024 InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation ICLR 2024 Projecting Molecules into Synthesizable Chemical Spaces ICML 2024 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction ICLR 2023 DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design ICML 2023 Equivariant Neural Operator Learning with Graphon Convolution NeurIPS 2023 LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion NeurIPS 2023 MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting ICLR 2023 Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction ICLR 2023 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures NeurIPS 2022 Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation NeurIPS 2022 Energy-Inspired Molecular Conformation Optimization ICLR 2022 Equivariant Point Cloud Analysis via Learning Orientations for Message Passing CVPR 2022 Hindsight Foresight Relabeling for Meta-Reinforcement Learning ICLR 2022 Imitation Learning from Observations under Transition Model Disparity ICLR 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition ICLR 2022 Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022 Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets ICML 2022 Proximal Exploration for Model-guided Protein Sequence Design ICML 2022 A 3D Generative Model for Structure-Based Drug Design NeurIPS 2021 DAP: Detection-Aware Pre-Training With Weak Supervision CVPR 2021 Learning Neural Generative Dynamics for Molecular Conformation Generation ICLR 2021 PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021 Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation ICCV 2021 A Chance-Constrained Generative Framework for Sequence Optimization ICML 2020 Anchor Box Optimization for Object Detection WACV 2020 A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020 Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer ECCV 2020 Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CoRL 2020 Learning Guidance Rewards with Trajectory-space Smoothing NeurIPS 2020 Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch UAI 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration NeurIPS 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 State-only Imitation with Transition Dynamics Mismatch ICLR 2020 Stein Variational Inference for Discrete Distributions AISTATS 2020 ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION ICLR 2019 A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019 Exploration via Hindsight Goal Generation NeurIPS 2019 Knowledge Flow: Improve Upon Your Teachers ICLR 2019 Large-Margin Classification in Hyperbolic Space AISTATS 2019 Learning Belief Representations for Imitation Learning in POMDPs UAI 2019 Learning Self-Imitating Diverse Policies ICLR 2019 Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy ICLR 2019 Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization ICML 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 Action-dependent Control Variates for Policy Optimization via Stein Identity ICLR 2018 Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018 Efficient Localized Inference for Large Graphical Models IJCAI 2018 emrQA: A Large Corpus for Question Answering on Electronic Medical Records EMNLP 2018 Energy-efficient Amortized Inference with Cascaded Deep Classifiers IJCAI 2018 Learning to Explore via Meta-Policy Gradient ICML 2018 Policy Optimization by Genetic Distillation ICLR 2018 SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications EMNLP 2018 On the Interpretability of Conditional Probability Estimates in the Agnostic Setting AISTATS 2017 Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling AISTATS 2013 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Conditional Neural Fields NeurIPS 2009