Yancheng Yuan

According to our database, Yancheng Yuan authored at least 27 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions.

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Junfeng Fang, Cunchun Li, Xiang Wang, Xiangnan He

CoRR, February, 2025

Understanding Deep Learning via Decision Boundary.

Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., January, 2025

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

A highly efficient algorithm for solving exclusive lasso problems.

Meixia Lin, Yancheng Yuan, Defeng Sun, Kim-Chuan Toh

Optim. Methods Softw., 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

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

Unified Parameter-Efficient Unlearning for LLMs.

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

CoRR, 2024

RosePO: Aligning LLM-based Recommenders with Human Values.

Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang

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, Yancheng Yuan

CoRR, 2024

LAMBDA: A Large Model Based Data Agent.

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang

CoRR, 2024

LLaRA: Large Language-Recommendation Assistant.

Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Collective Certified Robustness against Graph Injection Attacks.

Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Demonstration Selection Strategies in In-Context Learning.

Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

XAI for In-hospital Mortality Prediction via Multimodal ICU Data.

Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He

CoRR, 2023

LLaRA: Aligning Large Language Models with Sequential Recommenders.

Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang

CoRR, 2023

Large Language Model Can Interpret Latent Space of Sequential Recommender.

Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He

CoRR, 2023

Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees.

Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun

CoRR, 2023

Invariant Collaborative Filtering to Popularity Distribution Shift.

An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua

Proceedings of the ACM Web Conference 2023, 2023

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion.

Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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., September, 2022

On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore.

Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng

INFORMS J. Appl. Anal., 2022

2021

Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm.

Defeng Sun, Kim-Chuan Toh, Yancheng Yuan

J. Mach. Learn. Res., 2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation.

Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

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

2019

On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models.

Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh

CoRR, 2019

2018

An Efficient Semismooth Newton Based Algorithm for Convex Clustering.

Yancheng Yuan, Defeng Sun, Kim-Chuan Toh

Proceedings of the 35th International Conference on Machine Learning, 2018

2014

Robust interactive image segmentation via iterative refinement.

Yao Peng, Juyong Zhang, Yancheng Yuan, Shuyuan Zhu, Lu Fang

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014