Yancheng Yuan - RankMe

58 papers A* 11B 1Journal 43Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval. CoRR Maojun Sun, Yue Wu, Yifei Xie, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang
2026	J	`jnl`	DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems. CoRR Maojun Sun, Yifei Xie, Yue Wu, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang
2026	A*	`conf`	Delayed Feedback Modeling with Influence Functions. AAAI Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich
2026	J	`jnl`	Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling. CoRR Dian Jin, Yancheng Yuan, Xiaoming Tao
2026	J	`jnl`	HPR-LP: An implementation of an HPR method for solving linear programming. Math. Program. Comput. Kaihuang Chen, Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao
2026	J	`jnl`	Large Language Model Can Interpret Latent Space of Sequential Recommender. ACM Trans. Inf. Syst. Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
2026	A*	`conf`	Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks. AAAI Dian Jin, Yancheng Yuan, Xiaoming Tao
2026	J	`jnl`	Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning. CoRR Keqin Peng, Yuanxin Ouyang, Xuebo Liu, Zhiliang Tian, Ruijian Han, Yancheng Yuan, Liang Ding
2025	A*	`conf`	A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems. ICLR Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan
2025	J	`jnl`	Accelerating Preconditioned ADMM via Degenerate Proximal Point Mappings. SIAM J. Optim. Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao
2025	J	`jnl`	Accelerating RLHF Training with Reward Variance Increase. CoRR Zonglin Yang, Zhexuan Gu, Houduo Qi, Yancheng Yuan
2025	J	`jnl`	Adaptive sieving: a dimension reduction technique for sparse optimization problems. Math. Program. Comput. Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh
2025	J	`jnl`	Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions. CoRR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Junfeng Fang, Cunchun Li, Xiang Wang, Xiangnan He
2025	A*	`conf`	Addressing Missing Data Issue for Diffusion-based Recommendation. SIGIR Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	J	`jnl`	Addressing Missing Data Issue for Diffusion-based Recommendation. CoRR Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	—	`conf`	Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. ACL (2) Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025	J	`jnl`	Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. CoRR Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025	J	`jnl`	HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems. IEEE Trans. Pattern Anal. Mach. Intell. Guojun Zhang, Zhexuan Gu, Yancheng Yuan, Defeng Sun
2025	J	`jnl`	MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering. CoRR Chenlu Ding, Jiancan Wu, Leheng Sheng, Fan Zhang, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	J	`jnl`	Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks. CoRR Dian Jin, Yancheng Yuan, Xiaoming Tao
2025	J	`jnl`	Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. J. Mach. Learn. Res. Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
2025	J	`jnl`	Understanding Deep Learning via Decision Boundary. IEEE Trans. Neural Networks Learn. Syst. Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao
2025	A*	`conf`	Unified Parameter-Efficient Unlearning for LLMs. ICLR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2025	—	`conf`	XAI for In-Hospital Mortality Prediction via Multimodal ICU Data. BIBM Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Fengxiang He, Bo Du
2025	J	`jnl`	dHPR: A Distributed Halpern Peaceman-Rachford Method for Non-smooth Distributed Optimization Problems. CoRR Zhangcheng Feng, Defeng Sun, Yancheng Yuan, Guojun Zhang
2024	J	`jnl`	A Survey on Large Language Model-based Agents for Statistics and Data Science. CoRR Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang
2024	J	`jnl`	A highly efficient algorithm for solving exclusive lasso problems. Optim. Methods Softw. Meixia Lin, Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
2024	J	`jnl`	Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. CoRR Chenlu Ding, Jiancan Wu, Wei Lin, Shiyang Shen, Xiang Wang, Yancheng Yuan
2024	J	`jnl`	An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints. SIAM J. Optim. Qian Li, Defeng Sun, Yancheng Yuan
2024	A*	`conf`	Collective Certified Robustness against Graph Injection Attacks. ICML Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou
2024	J	`jnl`	Collective Certified Robustness against Graph Injection Attacks. CoRR Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou
2024	J	`jnl`	LAMBDA: A Large Model Based Data Agent. CoRR Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang
2024	A*	`conf`	LLaRA: Large Language-Recommendation Assistant. SIGIR Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He
2024	J	`jnl`	One Shot, One Talk: Whole-body Talking Avatar from a Single Image. CoRR Jun Xiang, Yudong Guo, Leipeng Hu, Boyang Guo, Yancheng Yuan, Juyong Zhang
2024	—	`conf`	Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2024	J	`jnl`	Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2024	J	`jnl`	RosePO: Aligning LLM-based Recommenders with Human Values. CoRR Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang
2024	J	`jnl`	Unified Parameter-Efficient Unlearning for LLMs. CoRR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2023	A*	`conf`	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NeurIPS Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
2023	J	`jnl`	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. CoRR Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
2023	A*	`conf`	Invariant Collaborative Filtering to Popularity Distribution Shift. WWW An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua
2023	J	`jnl`	Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua
2023	J	`jnl`	LLaRA: Aligning Large Language Models with Sequential Recommenders. CoRR Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang
2023	J	`jnl`	Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
2023	J	`jnl`	Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. CoRR Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
2023	J	`jnl`	XAI for In-hospital Mortality Prediction via Multimodal ICU Data. CoRR Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He
2022	J	`jnl`	A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering. SIAM J. Optim. Yancheng Yuan, Tsung-Hui Chang, Defeng Sun, Kim-Chuan Toh
2022	J	`jnl`	On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore. INFORMS J. Appl. Anal. Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng
2022	J	`jnl`	Understanding deep learning via decision boundary. CoRR Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao
2021	J	`jnl`	Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. J. Mach. Learn. Res. Defeng Sun, Kim-Chuan Toh, Yancheng Yuan
2021	A*	`conf`	Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
2021	J	`jnl`	Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
2020	J	`jnl`	SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0). Optim. Methods Softw. Defeng Sun, Kim-Chuan Toh, Yancheng Yuan, Xin-Yuan Zhao
2019	J	`jnl`	On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. CoRR Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh
2018	A*	`conf`	An Efficient Semismooth Newton Based Algorithm for Convex Clustering. ICML Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
2018	J	`jnl`	An Efficient Semismooth Newton Based Algorithm for Convex Clustering. CoRR Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
2018	J	`jnl`	Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. CoRR Defeng Sun, Kim-Chuan Toh, Yancheng Yuan
2014	B	`conf`	Robust interactive image segmentation via iterative refinement. ICIP Yao Peng, Juyong Zhang, Yancheng Yuan, Shuyuan Zhu, Lu Fang