Yancheng Yuan

According to our database, Yancheng Yuan authored at least 45 papers between 2014 and 2026.

Collaborative distances:

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

2026

VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification.

Hongfei Wu, Ruijian Han, Yancheng Yuan

CoRR, April, 2026

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

ACM Trans. Inf. Syst., March, 2026

HPR-LP: An implementation of an HPR method for solving linear programming.

Kaihuang Chen, Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao

Math. Program. Comput., March, 2026

DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval.

Maojun Sun, Yue Wu, Yifei Xie, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang

CoRR, March, 2026

Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling.

Dian Jin, Yancheng Yuan, Xiaoming Tao

CoRR, February, 2026

Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning.

Keqin Peng, Yuanxin Ouyang, Xuebo Liu, Zhiliang Tian, Ruijian Han, Yancheng Yuan, Liang Ding

CoRR, February, 2026

DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems.

Maojun Sun, Yifei Xie, Yue Wu, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang

CoRR, January, 2026

Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks.

Dian Jin, Yancheng Yuan, Xiaoming Tao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Delayed Feedback Modeling with Influence Functions.

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

dHPR: A Distributed Halpern Peaceman-Rachford Method for Non-smooth Distributed Optimization Problems.

Zhangcheng Feng, Defeng Sun, Yancheng Yuan, Guojun Zhang

CoRR, November, 2025

MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering.

Chenlu Ding, Jiancan Wu, Leheng Sheng, Fan Zhang, Yancheng Yuan, Xiang Wang, Xiangnan He

CoRR, October, 2025

Adaptive sieving: a dimension reduction technique for sparse optimization problems.

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

Math. Program. Comput., September, 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., August, 2025

Accelerating RLHF Training with Reward Variance Increase.

Zonglin Yang, Zhexuan Gu, Houduo Qi, Yancheng Yuan

CoRR, May, 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

Accelerating Preconditioned ADMM via Degenerate Proximal Point Mappings.

Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao

SIAM J. Optim., 2025

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

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

J. Mach. Learn. Res., 2025

Addressing Missing Data Issue for Diffusion-based Recommendation.

Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems.

Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unified Parameter-Efficient Unlearning for LLMs.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Expressive Talking Human from Single-Image with Imperfect Priors.

Jun Xiang, Yudong Guo, Leipeng Hu, Boyang Guo, Yancheng Yuan, Juyong Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding.

Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 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

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.

Chenlu 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

LLaRA: Aligning Large Language Models with Sequential Recommenders.

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

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