Difan Zou

34 papers at tracked venues · 31 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×12 ICLR ×7 ICML ×7 AAAI ×2 ACL ×2 COLT ×2 CVPR ×1 EMNLP ×1

Frequent coauthors

Yujin Han

×6

Xunpeng Huang

×4

Hanze Dong

×4

Yian Ma

×4

Tong Zhang

×4

Xingwu Chen

×4

Yuan Cao

×4

Andi Han

×3

Dong Xu

×2

Chaochao Lu

×2

Jingfeng Wu

×2

Wei Huang

×2

Papers

Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
COLT 2026 ·
Xunpeng Huang
,
Yingyu Lin
,
Nikki Lijing Kuang
,
Hanze Dong
, Difan Zou,
Yian Ma
,
Tong Zhang
Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction
ACL 2026 ·
Xingwu Chen
,
Zhanqiu Zhang
,
Steven Y. Guo
, Difan Zou
Learning Diffusion Policy from Primitive Skills for Robot Manipulation
AAAI 2026 ·
Zhihao Gu
,
Ming Yang
, Difan Zou,
Dong Xu
SIDE: Surrogate Conditional Data Extraction from Diffusion Models
AAAI 2026 ·
Yunhao Chen
,
Shujie Wang
, Difan Zou,
Xingjun Ma
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability
ICLR 2025 ·
Yujin Han
,
Lei Xu
,
Sirui Chen
, Difan Zou,
Chaochao Lu
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
ICML 2025 ·
Yujin Han
,
Andi Han
,
Wei Huang
,
Chaochao Lu
, Difan Zou
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
NeurIPS 2025 ·
Hangwei Zhang
,
Chun Kang
,
Yan Wang
, Difan Zou
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
NeurIPS 2025 ·
Hanru Bai
,
Weiyang Ding
, Difan Zou
How Does Critical Batch Size Scale in Pre-training?
ICLR 2025 ·
Hanlin Zhang
,
Depen Morwani
,
Nikhil Vyas
,
Jingfeng Wu
, Difan Zou,
Udaya Ghai
,
Dean P. Foster
,
Sham M. Kakade
How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?
NeurIPS 2025 ·
Wei Huang
,
Andi Han
,
Yujin Song
,
Yilan Chen
,
Denny Wu
, Difan Zou,
Taiji Suzuki
HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation
ICLR 2025 ·
Hanxiang Ren
,
Li Sun
,
Xulong Wang
,
Pei Zhou
,
Zewen Wu
,
Siyan Dong
, Difan Zou,
Youyi Zheng
,
Yanchao Yang
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
NeurIPS 2025 ·
Dechen Zhang
,
Zhenmei Shi
,
Yi Zhang
,
Yingyu Liang
, Difan Zou
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
ICML 2025 ·
Hao Chen
,
Yujin Han
,
Fangyi Chen
,
Xiang Li
,
Yidong Wang
,
Jindong Wang
,
Ze Wang
,
Zicheng Liu
, Difan Zou,
Bhiksha Raj
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
EMNLP 2025 ·
Xu Wang
,
Zihao Li
,
Benyou Wang
,
Yan Hu
, Difan Zou
On the Feature Learning in Diffusion Models
ICLR 2025 ·
Andi Han
,
Wei Huang
,
Yuan Cao
, Difan Zou
On the Robustness of Transformers against Context Hijacking for Linear Classification
NeurIPS 2025 ·
Tianle Li
,
Chenyang Zhang
,
Xingwu Chen
,
Yuan Cao
, Difan Zou
Parallelized Autoregressive Visual Generation
CVPR 2025 ·
Yuqing Wang
,
Shuhuai Ren
,
Zhijie Lin
,
Yujin Han
,
Haoyuan Guo
,
Zhenheng Yang
, Difan Zou,
Jiashi Feng
,
Xihui Liu
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
ACL 2025 ·
Chengxing Xie
,
Bowen Li
,
Chang Gao
,
He Du
,
Wai Lam
, Difan Zou,
Kai Chen
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
NeurIPS 2025 ·
Yao Teng
,
Fuyun Wang
,
Xian Liu
,
Zhekai Chen
,
Han Shi
,
Yu Wang
,
Zhenguo Li
,
Weiyang Liu
, Difan Zou,
Xihui Liu
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
ICML 2025 ·
Xu Wang
,
Yan Hu
,
Wenyu Du
,
Reynold Cheng
,
Benyou Wang
, Difan Zou
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
NeurIPS 2025 ·
Xuan Tang
,
Han Zhang
,
Yuan Cao
, Difan Zou
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
NeurIPS 2024 ·
Yunzhe Hu
, Difan Zou,
Dong Xu
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
ICLR 2024 ·
Miao Lu
,
Beining Wu
,
Xiaodong Yang
, Difan Zou
Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
ICML 2024 ·
Xuran Meng
, Difan Zou,
Yuan Cao
Faster Sampling via Stochastic Gradient Proximal Sampler
ICML 2024 ·
Xunpeng Huang
, Difan Zou,
Hanze Dong
,
Yian Ma
,
Tong Zhang
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
COLT 2024 ·
Xunpeng Huang
, Difan Zou,
Hanze Dong
,
Yi-An Ma
,
Tong Zhang
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
ICLR 2024 ·
Jingfeng Wu
, Difan Zou,
Zixiang Chen
,
Vladimir Braverman
,
Quanquan Gu
,
Peter L. Bartlett
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
NeurIPS 2024 ·
Xingwu Chen
,
Lei Zhao
, Difan Zou
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
ICML 2024 ·
Yujin Han
, Difan Zou
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
ICLR 2024 ·
Junwei Su
, Difan Zou,
Chuan Wu
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
NeurIPS 2024 ·
Xunpeng Huang
, Difan Zou,
Hanze Dong
,
Yi Zhang
,
Yian Ma
,
Tong Zhang
Slight Corruption in Pre-training Data Makes Better Diffusion Models
NeurIPS 2024 ·
Hao Chen
,
Yujin Han
,
Diganta Misra
,
Xiang Li
,
Kai Hu
, Difan Zou,
Masashi Sugiyama
,
Jindong Wang
,
Bhiksha Raj
The Implicit Bias of Adam on Separable Data
NeurIPS 2024 ·
Chenyang Zhang
, Difan Zou,
Yuan Cao
What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks
ICML 2024 ·
Xingwu Chen
, Difan Zou