On Steering Multi-Annotations per Sample for Multi-Task Learning. - Yuanze Li; Yiwen Guo; Qizhang Li; Hongzhi Zhang; Wangmeng Zuo (CoRR, 2022)

LoCoCa: Location-Context-Capacity Aware Cost Economizing in Edge-Cloud Systems. - Yuanze Li; Chao Qiu; Xiaofei Wang 001; Cheng Zhang 007; Wenyu Wang; Shizhan Lan; Jing Jiang 026 (GLOBECOM, 2023)

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection. - Yuanze Li; Haolin Wang; Shihao Yuan; Ming Liu 018; Debin Zhao; Yiwen Guo; Chen Xu; Guangming Shi; Wangmeng Zuo (CoRR, 2023)

A watermark-based framework to actively protect deep neural networks. - Yuling Luo; Yuanze Li; Shunsheng Zhang; Junxiu Liu; Sheng Qin (IJCNN, 2024)

Class Balance Matters to Active Class-Incremental Learning. - Zitong Huang; Ze Chen; Yuanze Li; Bowen Dong; Erjin Zhou; Yong Liu 026; Rick Siow Mong Goh; Chun-Mei Feng 001; Wangmeng Zuo (ACM Multimedia, 2024)

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective. - Yuanze Li; Chun-Mei Feng 001; Qilong Wang 001; Guanglei Yang; Wangmeng Zuo (CoRR, 2024)

Copyright protection framework for federated learning models against collusion attacks. - Yuling Luo; Yuanze Li; Sheng Qin; Qiang Fu 019; Junxiu Liu (Inf. Sci., 2024)

Task Allocation With Geography-Context-Capacity Awareness in Distributed Burstable Billing Edge-Cloud Systems. - Shihao Shen; Chenfei Gu; Yuanze Li; Chao Qiu; Xiaofei Wang 001; Rui Tan 001; Cheng Zhang 019; Wenyu Wang (IEEE Trans. Serv. Comput., 2025)

Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process. - Yuanze Li; Shihao Yuan; Haolin Wang; Qizhang Li; Ming Liu 018; Chen Xu; Guangming Shi; Wangmeng Zuo (CoRR, 2025)

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective. - Yuanze Li; Chun-Mei Feng 001; Qilong Wang 001; Guanglei Yang; Wangmeng Zuo (IEEE Trans. Neural Networks Learn. Syst., 2025)