Jun Zhu

111

Papers

889

Total Citations

Papers (111)

Triple Generative Adversarial Nets

NeurIPS 2017arXiv

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Decoupled Video Diffusion

Conditional Generative Moment-Matching Networks

NeurIPS 2016arXiv

MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization

Structured Generative Adversarial Networks

NeurIPS 2017arXiv

Stochastic Gradient Geodesic MCMC Methods

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator

Kernel Bayesian Inference with Posterior Regularization

NeurIPS 2016arXiv

InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image

Visual Generation Without Guidance

On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning

LiBRe: A Practical Bayesian Approach to Adversarial Detection

PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features

Unsupervised Part Segmentation Through Disentangling Appearance and Shape

Improving Transferability of Adversarial Patches on Face Recognition With Generative Models

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning

Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification

BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

All Are Worth Words: A ViT Backbone for Diffusion Models

PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image

Benchmarking Robustness of 3D Object Detection to Common Corruptions

Cluster Alignment With a Teacher for Unsupervised Domain Adaptation

Black-Box Detection of Backdoor Attacks With Limited Information and Data

Towards Face Encryption by Generating Adversarial Identity Masks

Detection Transformer with Stable Matching

Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

Design and Interpretation of Universal Adversarial Patches in Face Detection

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks

INT: Towards Infinite-Frames 3D Detection with an Efficient Framework

CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One

Max-Margin Deep Generative Models

Max-Margin Majority Voting for Learning from Crowds

Population Matching Discrepancy and Applications in Deep Learning

Benchmarking Adversarial Robustness on Image Classification

DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning

Robust Classification via a Single Diffusion Model

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Accelerating Transformer Pre-training with 2:4 Sparsity

Towards Efficient Exact Optimization of Language Model Alignment

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior

Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization

Improving Interpretability of Deep Neural Networks With Semantic Information

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser

Textbook Question Answering Under Instructor Guidance With Memory Networks

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning

Boosting Adversarial Attacks With Momentum

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Semi-crowdsourced Clustering with Deep Generative Models

Stochastic Expectation Maximization with Variance Reduction

Graphical Generative Adversarial Networks

Towards Robust Detection of Adversarial Examples

Improving Black-box Adversarial Attacks with a Transfer-based Prior

Generative Well-intentioned Networks

Multi-objects Generation with Amortized Structural Regularization

Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?

Boosting Adversarial Training with Hypersphere Embedding

Adversarial Distributional Training for Robust Deep Learning

Further Analysis of Outlier Detection with Deep Generative Models

Understanding and Exploring the Network with Stochastic Architectures

Calibrated Reliable Regression using Maximum Mean Discrepancy

Bi-level Score Matching for Learning Energy-based Latent Variable Models

Efficient Learning of Generative Models via Finite-Difference Score Matching

Accumulative Poisoning Attacks on Real-time Data

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization

On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms

AFEC: Active Forgetting of Negative Transfer in Continual Learning

Accelerated Linearized Laplace Approximation for Bayesian Deep Learning

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis

Fast Instrument Learning with Faster Rates

Isometric 3D Adversarial Examples in the Physical World

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs

Confidence-based Reliable Learning under Dual Noises

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Towards Accelerated Model Training via Bayesian Data Selection

Memory Efficient Optimizers with 4-bit States

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Training Transformers with 4-bit Integers

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics

Diversity-Promoting Bayesian Learning of Latent Variable Models

Learning to Generate with Memory

Identify the Nash Equilibrium in Static Games with Random Payoffs

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Adversarial Attack on Graph Structured Data

Max-Mahalanobis Linear Discriminant Analysis Networks

A Spectral Approach to Gradient Estimation for Implicit Distributions

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors

Message Passing Stein Variational Gradient Descent

Understanding and Accelerating Particle-Based Variational Inference

Understanding MCMC Dynamics as Flows on the Wasserstein Space

Improving Adversarial Robustness via Promoting Ensemble Diversity

Scalable Training of Inference Networks for Gaussian-Process Models