Robust interactive image segmentation via iterative refinement. - Yao Peng; Juyong Zhang; Yancheng Yuan; Shuyuan Zhu; Lu Fang (ICIP, 2014)

An Efficient Semismooth Newton Based Algorithm for Convex Clustering. - Yancheng Yuan; Defeng Sun; Kim-Chuan Toh (ICML, 2018)

On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. - Yancheng Yuan; Meixia Lin; Defeng Sun; Kim-Chuan Toh (CoRR, 2019)

SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0). - Defeng Sun; Kim-Chuan Toh; Yancheng Yuan; Xin-Yuan Zhao (Optim. Methods Softw., 2020)

Learning Intents behind Interactions with Knowledge Graph for Recommendation. - Xiang Wang 010; Tinglin Huang; Dingxian Wang; Yancheng Yuan; Zhenguang Liu; Xiangnan He 001; Tat-Seng Chua (WWW, 2021)

Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. - Defeng Sun; Kim-Chuan Toh; Yancheng Yuan (J. Mach. Learn. Res., 2021)

On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore. - Guang Cheng 004; Sarah Yini Gao; Yancheng Yuan; Chenxiao Zhang; Zhichao Zheng 001 (INFORMS J. Appl. Anal., 2022)

A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering. - Yancheng Yuan; Tsung-Hui Chang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2022)

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. - Zhengyi Yang 007; Jiancan Wu; Zhicai Wang; Xiang Wang 010; Yancheng Yuan; Xiangnan He 001 (NeurIPS, 2023)

Invariant Collaborative Filtering to Popularity Distribution Shift. - An Zhang 003; Jingnan Zheng; Xiang Wang 010; Yancheng Yuan; Tat-Seng Chua (WWW, 2023)

Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. - Ziwen Wang; Yancheng Yuan; Jiaming Ma; Tieyong Zeng; Defeng Sun (CoRR, 2023)

Large Language Model Can Interpret Latent Space of Sequential Recommender. - Zhengyi Yang 007; Jiancan Wu; Yanchen Luo; Jizhi Zhang; Yancheng Yuan; An Zhang 003; Xiang Wang 010; Xiangnan He 001 (CoRR, 2023)

LLaRA: Aligning Large Language Models with Sequential Recommenders. - Jiayi Liao; Sihang Li 002; Zhengyi Yang 007; Jiancan Wu; Yancheng Yuan; Xiang Wang 010 (CoRR, 2023)

XAI for In-hospital Mortality Prediction via Multimodal ICU Data. - Xingqiao Li; Jindong Gu; Zhiyong Wang; Yancheng Yuan; Bo Du 001; Fengxiang He (CoRR, 2023)

Revisiting Demonstration Selection Strategies in In-Context Learning. - Keqin Peng; Liang Ding 006; Yancheng Yuan; Xuebo Liu 002; Min Zhang 005; Yuanxin Ouyang; Dacheng Tao (ACL (1), 2024)

Collective Certified Robustness against Graph Injection Attacks. - Yuni Lai; Bailin Pan; Kaihuang Chen; Yancheng Yuan; Kai Zhou 001 (ICML, 2024)

LLaRA: Large Language-Recommendation Assistant. - Jiayi Liao; Sihang Li 002; Zhengyi Yang 007; Jiancan Wu; Yancheng Yuan; Xiang Wang 010; Xiangnan He 001 (SIGIR, 2024)

LAMBDA: A Large Model Based Data Agent. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. - Chen-Lu Ding; Jiancan Wu; Wei Lin; Shiyang Shen; Xiang Wang 010; Yancheng Yuan (CoRR, 2024)

RosePO: Aligning LLM-based Recommenders with Human Values. - Jiayi Liao; Xiangnan He 001; Ruobing Xie; Jiancan Wu; Yancheng Yuan; Xingwu Sun; Zhanhui Kang; Xiang Wang 010 (CoRR, 2024)

One Shot, One Talk: Whole-body Talking Avatar from a Single Image. - Jun Xiang; Yudong Guo; Leipeng Hu; Boyang Guo; Yancheng Yuan; Juyong Zhang (CoRR, 2024)

A Survey on Large Language Model-based Agents for Statistics and Data Science. - Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang (CoRR, 2024)

A highly efficient algorithm for solving exclusive lasso problems. - Meixia Lin; Yancheng Yuan; Defeng Sun; Kim-Chuan Toh (Optim. Methods Softw., 2024)

An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints. - Qian Li; Defeng Sun; Yancheng Yuan (SIAM J. Optim., 2024)

Unified Parameter-Efficient Unlearning for LLMs. - Chenlu Ding; Jiancan Wu; Yancheng Yuan; Jinda Lu; Kai Zhang 038; Alex Su; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems. - Shulan Zhu; Chenglong Bao; Defeng Sun; Yancheng Yuan (ICLR, 2025)

Addressing Missing Data Issue for Diffusion-based Recommendation. - Wenyu Mao; Zhengyi Yang 007; Jiancan Wu; Haozhe Liu; Yancheng Yuan; Xiang Wang 010; Xiangnan He 001 (SIGIR, 2025)

Accelerating Preconditioned ADMM via Degenerate Proximal Point Mappings. - Defeng Sun; Yancheng Yuan; Guojun Zhang; Xinyuan Zhao (SIAM J. Optim., 2025)

Understanding Deep Learning via Decision Boundary. - Shiye Lei; Fengxiang He; Yancheng Yuan; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions. - Chenlu Ding; Jiancan Wu; Yancheng Yuan; Junfeng Fang; Cunchun Li; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. - Keqin Peng; Liang Ding 006; Yuanxin Ouyang; Meng Fang; Yancheng Yuan; Dacheng Tao (CoRR, 2025)

Accelerating RLHF Training with Reward Variance Increase. - Zonglin Yang; Zhexuan Gu; Houduo Qi; Yancheng Yuan (CoRR, 2025)

HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems. - Guojun Zhang; Zhexuan Gu; Yancheng Yuan; Defeng Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2025)