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Difan Zou

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

43

Venues

11

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

43 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAISIDE: Surrogate Conditional Data Extraction from Diffusion Models.Yunhao Chen, Shujie Wang, Difan Zou, Xingjun Ma
2026AAAILearning Diffusion Policy from Primitive Skills for Robot Manipulation.Zhihao Gu, Ming Yang, Difan Zou, Dong Xu
2026ACLBreaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction.Xingwu Chen, Zhanqiu Zhang, Steven Y. Guo, Difan Zou
2026COLTAlmost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion.Xunpeng Huang, Yingyu Lin, Nikki Lijing Kuang, Hanze Dong, Difan Zou, Yian Ma, Tong Zhang
2025ACLSWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution.Chengxing Xie, Bowen Li, Chang Gao, He Du, Wai Lam, Difan Zou, Kai Chen
2025CVPRParallelized Autoregressive Visual Generation.Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu
2025EMNLPModel Unlearning via Sparse Autoencoder Subspace Guided Projections.Xu Wang, Zihao Li, Benyou Wang, Yan Hu, Difan Zou
2025ICLROn the Feature Learning in Diffusion Models.Andi Han, Wei Huang, Yuan Cao, Difan Zou
2025ICLRBeyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability.Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu
2025ICLRHyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation.Hanxiang Ren, Li Sun, Xulong Wang, Pei Zhou, Zewen Wu, Siyan Dong, Difan Zou, Youyi Zheng, Yanchao Yang
2025ICLRHow Does Critical Batch Size Scale in Pre-training?Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean P. Foster, Sham M. Kakade
2025ICMLMasked Autoencoders Are Effective Tokenizers for Diffusion Models.Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025ICMLCan Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou
2025ICMLTowards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis.Xu Wang, Yan Hu, Wenyu Du, Reynold Cheng, Benyou Wang, Difan Zou
2024COLTFaster Sampling without Isoperimetry via Diffusion-based Monte Carlo.Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang
2024GLOBECOMOptimized Transmit Beamformers for Dual-Function RadCom System.Junhui Qian, Zhuoran Sun, Jie Wang, Le Zheng, Difan Zou, Xianxiang Yu, Jing Yang
2024ICLRBenign Oscillation of Stochastic Gradient Descent with Large Learning Rate.Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou
2024ICLRPRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks.Junwei Su, Difan Zou, Chuan Wu
2024ICLRHow Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter L. Bartlett
2024ICMLWhat Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks.Xingwu Chen, Difan Zou
2024ICMLImproving Group Robustness on Spurious Correlation Requires Preciser Group Inference.Yujin Han, Difan Zou
2024ICMLFaster Sampling via Stochastic Gradient Proximal Sampler.Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
2024ICMLBenign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data.Xuran Meng, Difan Zou, Yuan Cao
2023COLTThe Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks.Yuan Cao, Difan Zou, Yuanzhi Li, Quanquan Gu
2023ICLRUnderstanding the Generalization of Adam in Learning Neural Networks with Proper Regularization.Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
2023ICMLTowards Robust Graph Incremental Learning on Evolving Graphs.Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu
2023ICMLFinite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron.Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
2023ICMLThe Benefits of Mixup for Feature Learning.Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
2022AISTATSSelf-training Converts Weak Learners to Strong Learners in Mixture Models.Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu
2022ICMLLast Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression.Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
2021COLTBenign Overfitting of Constant-Stepsize SGD for Linear Regression.Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
2021ICLRHow Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
2021ICLRDirection Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate.Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu
2021ICMLProvable Robustness of Adversarial Training for Learning Halfspaces with Noise.Difan Zou, Spencer Frei, Quanquan Gu
2021ICMLOn the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients.Difan Zou, Quanquan Gu
2021UAIFaster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling.Difan Zou, Pan Xu, Quanquan Gu
2020ICLRImproving Adversarial Robustness Requires Revisiting Misclassified Examples.Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu
2020ICLROn the Global Convergence of Training Deep Linear ResNets.Difan Zou, Philip M. Long, Quanquan Gu
2019AISTATSSampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics.Difan Zou, Pan Xu, Quanquan Gu
2018ICMLStochastic Variance-Reduced Hamilton Monte Carlo Methods.Difan Zou, Pan Xu, Quanquan Gu
2018UAISubsampled Stochastic Variance-Reduced Gradient Langevin Dynamics.Difan Zou, Pan Xu, Quanquan Gu
2017GLOBECOMCharacterization of a Practical Photon Counting Receiver in Optical Scattering Communication.Difan Zou, Chen Gong, Kun Wang, Zhengyuan Xu
2014ACSSCImproving the NLOS optical scattering channel via beam reshaping.Difan Zou, Shang-Bin Li, Zhengyuan Xu