Speckle noise removal via nonlocal low-rank regularization. - Yulian Wu (J. Vis. Commun. Image Represent., 2016)

Improved English Immersion Teaching Methods for the Course of Power Electronics for Energy Storage System in China. - Lisong Wang; Yatong Li; Zhongmei Wang; Shiyu Shu; Yun Zhang 003; Yulian Wu (IEEE Access, 2018)

Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits. - Youming Tao 001; Yulian Wu; Peng Zhao; Di Wang 015 (AISTATS, 2022)

Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited. - Youming Tao 001; Yulian Wu; Xiuzhen Cheng 001; Di Wang 015 (IJCAI, 2022)

Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. - Yulian Wu; Xingyu Zhou 001; Sayak Ray Chowdhury; Di Wang 015 (ICML, 2023)

On Private and Robust Bandits. - Yulian Wu; Xingyu Zhou 001; Youming Tao 001; Di Wang 015 (NeurIPS, 2023)

Quantum Heavy-tailed Bandits. - Yulian Wu; Chaowen Guan; Vaneet Aggarwal; Di Wang 015 (CoRR, 2023)

Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning. - Bhargav Ganguly; Yulian Wu; Di Wang 015; Vaneet Aggarwal (CoRR, 2023)

Better-than-KL PAC-Bayes Bounds. - Ilja Kuzborskij; Kwang-Sung Jun; Yulian Wu; Kyoungseok Jang; Francesco Orabona (COLT, 2024)

A novel nonconvex penalty method for a rank constrained matrix optimization problem and its applications. - Wenjuan Zhang; Jiayi Yao; Feng Xiao; Yuping Wang; Yulian Wu (Int. J. Appl. Math. Comput. Sci., 2025)

Optimal Regret of Bernoulli Bandits under Global Differential Privacy. - Achraf Azize; Yulian Wu; Junya Honda; Francesco Orabona; Shinji Ito; Debabrota Basu (CoRR, 2025)

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO. - Xingyu Zhou; Yulian Wu; Francesco Orabona (CoRR, 2025)

SquareχPO: Differentially Private and Robust χ2-Preference Optimization in Offline Direct Alignment. - Xingyu Zhou; Yulian Wu; Wenqian Weng; Francesco Orabona (CoRR, 2025)