← Authors

Jian Peng

67 papers · 2009–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (14) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸƒ Academic Marathon (16) πŸ† Grand Slam 🌱 Topic Pioneer 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ“ˆ Trend Setter ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (56) πŸ’Ž Century Club (66) πŸ”₯ Unstoppable (9)

Conferences

ICLR (18) NIPS (14) ICML (11) AISTATS (6) AAAI (3) EMNLP (3) UAI (3) CVPR (2) IJCAI (2) COLT (1) CORL (1) ECCV (1) ICCV (1) WACV (1)

Top co-authors

Jianzhu Ma (20) Qiang Liu (18) Shitong Luo (11) Yuan Zhou (11) Jiaqi Guan (10) Tanmay Gangwani (9) Jiahan Li (8) Zhizhou Ren (7) Zuofan Wu (5) Ruihan Guo (5)

Keywords

reinforcement learning (4) molecular generation (4) variational inference (4) graphical model (4) drug design (3) stein variational gradient descent (3) object detection (3) graph neural network (3) online learning (3) approximate inference (2) probabilistic graphical model (2) diffusion model (2) sparse reward (2) off-policy learning (2) representation learning (2) multi-armed bandit (2) belief propagation (2) optimal transport (2) transfer learning (2) probabilistic modeling (2)

Papers

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