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Journal Articles
- 2024
[j5]Qian Li, Defeng Sun
, Yancheng Yuan:
An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints. SIAM J. Optim. 34(2): 2038-2066 (2024)- 2022
- [j4]Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng:
On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore. INFORMS J. Appl. Anal. 52(6): 524-538 (2022) - [j3]Yancheng Yuan, Tsung-Hui Chang, Defeng Sun, Kim-Chuan Toh:
A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering. SIAM J. Optim. 32(3): 2294-2318 (2022) - 2021
- [j2]Defeng Sun, Kim-Chuan Toh, Yancheng Yuan:
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. J. Mach. Learn. Res. 22: 9:1-9:32 (2021) - 2020
- [j1]Defeng Sun, Kim-Chuan Toh, Yancheng Yuan, Xin-Yuan Zhao:
SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0). Optim. Methods Softw. 35(1): 87-115 (2020)
Conference and Workshop Papers
- 2024
- [c8]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) 2024: 9090-9101 - [c7]Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou:
Collective Certified Robustness against Graph Injection Attacks. ICML 2024 - [c6]Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He:
LLaRA: Large Language-Recommendation Assistant. SIGIR 2024: 1785-1795 - 2023
- [c5]Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He:
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NeurIPS 2023 - [c4]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. WWW 2023: 1240-1251 - 2021
- [c3]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021: 878-887 - 2018
- [c2]Yancheng Yuan, Defeng Sun, Kim-Chuan Toh:
An Efficient Semismooth Newton Based Algorithm for Convex Clustering. ICML 2018: 5704-5712 - 2014
- [c1]Yao Peng, Juyong Zhang, Yancheng Yuan, Shuyuan Zhu, Lu Fang:
Robust interactive image segmentation via iterative refinement. ICIP 2014: 4383-4387
Informal and Other Publications
- 2024
- [i15]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR abs/2401.12087 (2024) - [i14]Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou:
Collective Certified Robustness against Graph Injection Attacks. CoRR abs/2403.01423 (2024) - [i13]Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan, Jian Huang:
LAMBDA: A Large Model Based Data Agent. CoRR abs/2407.17535 (2024) - [i12]Chen-Lu Ding, Jiancan Wu, Wei Lin, Shiyang Shen, Xiang Wang, Yancheng Yuan:
Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. CoRR abs/2407.20119 (2024) - 2023
- [i11]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2302.05328 (2023) - [i10]Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun:
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. CoRR abs/2303.16841 (2023) - [i9]Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He:
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. CoRR abs/2310.20453 (2023) - [i8]Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He:
Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR abs/2310.20487 (2023) - [i7]Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang:
LLaRA: Aligning Large Language Models with Sequential Recommenders. CoRR abs/2312.02445 (2023) - [i6]Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He:
XAI for In-hospital Mortality Prediction via Multimodal ICU Data. CoRR abs/2312.17624 (2023) - 2022
- [i5]Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao:
Understanding deep learning via decision boundary. CoRR abs/2206.01515 (2022) - 2021
- [i4]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR abs/2102.07057 (2021) - 2019
- [i3]Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh:
On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. CoRR abs/1902.00151 (2019) - 2018
- [i2]Yancheng Yuan, Defeng Sun, Kim-Chuan Toh:
An Efficient Semismooth Newton Based Algorithm for Convex Clustering. CoRR abs/1802.07091 (2018) - [i1]Defeng Sun, Kim-Chuan Toh, Yancheng Yuan:
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. CoRR abs/1810.02677 (2018)
Coauthor Index
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