Jun Zhu
- Papers
- 61
Cite
Notes
Only stored in your browser.
Authored papers
61KernelBench-X: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
arXiv 2026
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
arXiv 2026
LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model
arXiv 2026
Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders
arXiv 2026
Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection
arXiv 2026
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
arXiv 2025
SageAttention2++: A More Efficient Implementation of SageAttention2
arXiv 2025
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
arXiv 2025
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
arXiv 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
direct-discriminative-optimization-your
Scaling Diffusion Transformers Efficiently via $μ$P
arXiv 2025
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
arXiv 2025
UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers
arXiv 2025
Part-X-MLLM: Part-aware 3D Multimodal Large Language Model
arXiv 2025
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
arXiv 2025
NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks
arXiv 2025
STAIR: Improving Safety Alignment with Introspective Reasoning
arXiv 2025
Visual Generation Without Guidance
arXiv 2025
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
arXiv 2025
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
ICCV 2025
Robust Representation Consistency Model via Contrastive Denoising
arXiv 2025
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization
ICCV 2025
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
arXiv 2024
MicroDreamer: Efficient 3D Generation in $\sim$20 Seconds by Score-based Iterative Reconstruction
arXiv 2024
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
arXiv 2024
Diffusion Bridge Implicit Models
arXiv 2024
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes
arXiv 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
arXiv 2024
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
arXiv 2024
Noise Contrastive Alignment of Language Models with Explicit Rewards
arXiv 2024
Towards Efficient Exact Optimization of Language Model Alignment
arXiv 2024
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
arXiv 2024
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control
arXiv 2024
CodeS: Towards Building Open-source Language Models for Text-to-SQL
arXiv 2024
Efficient Backpropagation with Variance-Controlled Adaptive Sampling
arXiv 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
arXiv 2024
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
arXiv 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
diffusion-models-and-semi-supervised-learners
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
arXiv 2023
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
arXiv 2023
Detection Transformer with Stable Matching
ICCV 2023 1
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
arXiv 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
dpm-solver-v3-improved-diffusion-ode-solver
A Comprehensive Survey of Continual Learning: Theory, Method and Application
arXiv 2023
GNOT: A General Neural Operator Transformer for Operator Learning
arXiv 2023
Score Regularized Policy Optimization through Diffusion Behavior
arXiv 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
arXiv 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
arXiv 2023
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
arXiv 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
arXiv 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
arXiv 2023
ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond
arXiv 2023
Training Transformers with 4-bit Integers
training-transformers-with-4-bit-integers
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
overcoming-recency-bias-of-normalization
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
arXiv 2023
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
dino-detr-with-improved-denoising-anchor
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
arXiv 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
arXiv 2022
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
dab-detr-dynamic-anchor-boxes-are-better
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
arXiv 2021
Adversarial Attacks and Defences Competition
arXiv 2018
Affiliations
Frequent co-authors
10from 61 papers