← Authors

Jun Zhu

260 papers · 2008–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (56) πŸƒ Academic Marathon (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (11) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (73) πŸ”¬ Deep Specialist (29) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ† Grand Slam 🀝 Dynamic Duo (76) πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸš€ Conference Pioneer ⚑ Prolific Year (10) πŸ”₯ Unstoppable (18) πŸ—ƒοΈ Keyword Collector (186) πŸ’Ž Century Club (258)

Conferences

NIPS (73) ICML (55) ICLR (37) CVPR (23) IJCAI (17) AAAI (15) ECCV (10) JMLR (10) ICCV (8) ACL (4) ACML (2) AISTATS (2) UAI (2) EMNLP (1) NAACL (1)

Top co-authors

Hang Su (78) Yinpeng Dong (40) Bo Zhang (38) Chongxuan Li (35) Jianfei Chen (34) Xiao Yang (22) Tianyu Pang (20) Fan Bao (17) Zhijie Deng (14) Kaiwen Zheng (13)

Research topics

Privacy (2) Bayesian & Probabilistic (1)

Keywords

bayesian inference (25) variational inference (22) generative model (15) adversarial attack (14) diffusion model (11) topic model (9) max-margin learning (8) semi-supervised learning (8) adversarial robustness (8) neural network (8) image generation (7) gibbs sampling (7) latent variable model (6) generative adversarial network (6) score matching (6) image classification (6) adversarial learning (5) adversarial training (5) uncertainty quantification (5) representation learning (5)

Papers

H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation AAAI 2026
Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding AAAI 2026
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning ICCV 2025
Elucidating the Preconditioning in Consistency Distillation ICLR 2025
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser AAAI 2025
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training AAAI 2025
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation ICLR 2025
Diffusion Bridge Implicit Models ICLR 2025
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration ICLR 2025
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling ICLR 2025
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers ICML 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator ICML 2025
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing ICLR 2025
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent ICLR 2025
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment ICLR 2025
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning IJCAI 2025
MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization ICCV 2025
Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios IJCAI 2025
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference ICML 2025
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization ICML 2025
FrameBridge: Improving Image-to-Video Generation with Bridge Models ICML 2025
Oscillation-Reduced MXFP4 Training for Vision Transformers ICML 2025
Visual Generation Without Guidance ICML 2025
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Decoupled Video Diffusion ICCV 2025
STAIR: Improving Safety Alignment with Introspective Reasoning ICML 2025
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance ICLR 2025
Robust Representation Consistency Model via Contrastive Denoising ICLR 2025
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents ECCV 2024
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection ECCV 2024
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model ECCV 2024
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization ICML 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
Consistency Diffusion Bridge Models NIPS 2024
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model NIPS 2024
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training NIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NIPS 2024
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models NIPS 2024
Diffusion Models are Certifiably Robust Classifiers NIPS 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning NIPS 2024
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models NIPS 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NIPS 2024
Noise Contrastive Alignment of Language Models with Explicit Rewards NIPS 2024
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control NIPS 2024
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels NIPS 2024
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning ICML 2024
Towards Efficient Exact Optimization of Language Model Alignment ICML 2024
Accelerating Transformer Pre-training with 2:4 Sparsity ICML 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training ICML 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior ICML 2024
Robust Classification via a Single Diffusion Model ICML 2024
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image ICLR 2024
Efficient Backpropagation with Variance Controlled Adaptive Sampling ICLR 2024
Score Regularized Policy Optimization through Diffusion Behavior ICLR 2024
DreamReward: Aligning Human Preference in Text-to-3D Generation ECCV 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches ICLR 2024
Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024
Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024
Rethinking Model Ensemble in Transfer-based Adversarial Attacks ICLR 2024
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models CVPR 2024
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs ICML 2023
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients ICLR 2023
Detection Transformer with Stable Matching ICCV 2023
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection ICLR 2023
Equivariant Energy-Guided SDE for Inverse Molecular Design ICLR 2023
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling ICLR 2023
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models ICLR 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks ICML 2023
Stabilizing GANs’ Training with Brownian Motion Controller ICML 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data ICML 2023
GNOT: A General Neural Operator Transformer for Operator Learning ICML 2023
A constrained Bayesian approach to out-of-distribution prediction UAI 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation NIPS 2023
Towards Accelerated Model Training via Bayesian Data Selection NIPS 2023
Memory Efficient Optimizers with 4-bit States NIPS 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NIPS 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NIPS 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels NIPS 2023
Training Transformers with 4-bit Integers NIPS 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics NIPS 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality NIPS 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale ICML 2023
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding AAAI 2023
Certifiable Out-of-Distribution Generalization AAAI 2023
Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? ACML 2023
On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition CVPR 2023
All Are Worth Words: A ViT Backbone for Diffusion Models CVPR 2023
PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image CVPR 2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions CVPR 2023
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022
Tianshou: A Highly Modularized Deep Reinforcement Learning Library JMLR 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition ICML 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows ICML 2022
Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints NIPS 2022
Confidence-based Reliable Learning under Dual Noises NIPS 2022
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs NIPS 2022
CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One ECCV 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk IJCAI 2022
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors IJCAI 2022
Isometric 3D Adversarial Examples in the Physical World NIPS 2022
Fast Instrument Learning with Faster Rates NIPS 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022
AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification CVPR 2022
BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement CVPR 2022
Exploring Memorization in Adversarial Training ICLR 2022
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR ICLR 2022
Memory Replay with Data Compression for Continual Learning ICLR 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models ICLR 2022
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis NIPS 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps NIPS 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations NIPS 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NIPS 2022
Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning NAACL 2022
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks ECCV 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing ICML 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models ICML 2022
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning ACML 2022
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework ECCV 2022
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching ICML 2022
Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021
Accumulative Poisoning Attacks on Real-time Data NIPS 2021
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization NIPS 2021
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression NIPS 2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization NIPS 2021
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NIPS 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning NIPS 2021
A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021
Improving Generative Moment Matching Networks with Distribution Partition AAAI 2021
Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features CVPR 2021
Unsupervised Part Segmentation Through Disentangling Appearance and Shape CVPR 2021
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning CVPR 2021
Towards Face Encryption by Generating Adversarial Identity Masks ICCV 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering ICLR 2021
Efficient Inference of Flexible Interaction in Spiking-neuron Networks ICLR 2021
Bag of Tricks for Adversarial Training ICLR 2021
Implicit Normalizing Flows ICLR 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020
Nonparametric Score Estimators ICML 2020
Understanding and Stabilizing GANs’ Training Dynamics Using Control Theory ICML 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information ICLR 2020
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks ICLR 2020
SVQN: Sequential Variational Soft Q-Learning Networks ICLR 2020
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games UAI 2020
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness ICLR 2020
To Relieve Your Headache of Training an MRF, Take AdVIL ICLR 2020
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? NIPS 2020
Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds ECCV 2020
Design and Interpretation of Universal Adversarial Patches in Face Detection ECCV 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters ECCV 2020
Benchmarking Adversarial Robustness on Image Classification CVPR 2020
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ICLR 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models ICLR 2020
Boosting Adversarial Training with Hypersphere Embedding NIPS 2020
Adversarial Distributional Training for Robust Deep Learning NIPS 2020
Further Analysis of Outlier Detection with Deep Generative Models NIPS 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy NIPS 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models NIPS 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching NIPS 2020
Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019
Function Space Particle Optimization for Bayesian Neural Networks ICLR 2019
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation ICCV 2019
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition CVPR 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks CVPR 2019
Understanding and Accelerating Particle-Based Variational Inference ICML 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space ICML 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity ICML 2019
Sparse Adversarial Perturbations for Videos AAAI 2019
Composite Binary Decomposition Networks AAAI 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better AAAI 2019
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks AAAI 2019
Multi-objects Generation with Amortized Structural Regularization NIPS 2019
Generative Well-intentioned Networks NIPS 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning IJCAI 2019
Message Passing Stein Variational Gradient Descent ICML 2018
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser CVPR 2018
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors ICML 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018
Max-Mahalanobis Linear Discriminant Analysis Networks ICML 2018
Adversarial Attack on Graph Structured Data ICML 2018
Stochastic Training of Graph Convolutional Networks with Variance Reduction ICML 2018
Kernel Implicit Variational Inference ICLR 2018
Probabilistic Machine Learning: Models, Algorithms and a Programming Library IJCAI 2018
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples IJCAI 2018
Semi-crowdsourced Clustering with Deep Generative Models NIPS 2018
Stochastic Expectation Maximization with Variance Reduction NIPS 2018
Graphical Generative Adversarial Networks NIPS 2018
Towards Robust Detection of Adversarial Examples NIPS 2018
Boosting Adversarial Attacks With Momentum CVPR 2018
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning CVPR 2018
Textbook Question Answering Under Instructor Guidance With Memory Networks CVPR 2018
Online Bayesian Passive-Aggressive Learning JMLR 2017
Improving Interpretability of Deep Neural Networks With Semantic Information CVPR 2017
Structured Generative Adversarial Networks NIPS 2017
Triple Generative Adversarial Nets NIPS 2017
Population Matching Discrepancy and Applications in Deep Learning NIPS 2017
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization IJCAI 2017
Improving Learning-from-Crowds through Expert Validation IJCAI 2017
Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017
Forecast the Plausible Paths in Crowd Scenes IJCAI 2017
Identify the Nash Equilibrium in Static Games with Random Payoffs ICML 2017
Kernel Bayesian Inference with Posterior Regularization NIPS 2016
Discriminative Deep Random Walk for Network Classification ACL 2016
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields ACL 2016
Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016
Conditional Generative Moment-Matching Networks NIPS 2016
Crowd Scene Understanding with Coherent Recurrent Neural Networks IJCAI 2016
Learning to Generate with Memory ICML 2016
Stochastic Gradient Geodesic MCMC Methods NIPS 2016
Generative Topic Embedding: a Continuous Representation of Documents ACL 2016
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015
Max-Margin Deep Generative Models NIPS 2015
Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation IJCAI 2015
Max-Margin Majority Voting for Learning from Crowds NIPS 2015
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution EMNLP 2015
Adaptive Dropout Rates for Learning with Corrupted Features IJCAI 2015
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm NIPS 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models ICML 2014
Max-Margin Infinite Hidden Markov Models ICML 2014
Online Bayesian Passive-Aggressive Learning ICML 2014
Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014
Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014
Spectral Methods for Supervised Topic Models NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Action Recognition with Actons ICCV 2013
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation ACL 2013
Generalized Relational Topic Models with Data Augmentation IJCAI 2013
Scalable Inference for Logistic-Normal Topic Models NIPS 2013
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms ICML 2013
Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
MedLDA: Maximum Margin Supervised Topic Models JMLR 2012
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Large Margin Learning of Upstream Scene Understanding Models NIPS 2010
Adaptive Multi-Task Lasso: with Application to eQTL Detection NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Efficient Relational Learning with Hidden Variable Detection NIPS 2010
Maximum Entropy Discrimination Markov Networks JMLR 2009
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008