Lin Wang

According to our database, Lin Wang authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation.

Yili Ren, Shiqi Wen, Li Hou, Dingwen Xiao, Weiming Zhang, Caleb Chen Cao, Lin Wang, Zilu Zheng, Qianxiao Su, Mingjun Zhao, Lei Chen

CoRR, April, 2026

Efficient Graph Condensation via Gaussian Process.

Lin Wang, Qing Li

IEEE Trans. Knowl. Data Eng., January, 2026

2025

Social Relation Meets Recommendation: Augmentation and Alignment.

Lin Wang, Weisong Wang, Xuanji Xiao, Qing Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Graph Unlearning with Efficient Partial Retraining.

Jiahao Zhang, Lin Wang, Shijie Wang, Wenqi Fan

CoRR, 2024

Fast Graph Condensation with Structure-based Neural Tangent Kernel.

Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li

Proceedings of the ACM on Web Conference 2024, 2024

2023

Joint Feature Selection and Extraction With Sparse Unsupervised Projection.

Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.

Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

A Novel Formulation of Trace Ratio Linear Discriminant Analysis.

Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Fast Unsupervised Projection for Large-Scale Data.

Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Hyperspectral Band Selection Based on Hypergraph Spectral Clustering.

Jingyu Wang, Hongmei Wang, Zhenyu Ma, Lin Wang, Qi Wang, Xuelong Li

IEEE Geosci. Remote. Sens. Lett., 2022

A Comprehensive Survey on Trustworthy Recommender Systems.

Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li

CoRR, 2022