Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). - Liyuan Gao; Huixin Zhan; Austin Chen; Victor S. Sheng (AAAI, 2023)

Explainable Transcription Factor Prediction with Protein Language Models. - Liyuan Gao; Kyler Shu; Jun Zhang; Victor S. Sheng (BIBM, 2023)

Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. - Huixin Zhan; Liyuan Gao; Kun Zhang 012; Zhong Chen 003; Victor S. Sheng (DSAA, 2023)

Feasibility Analysis of State-of-the-Art Time Series Models for Wind Power Forecasting with Irregular Missing Data. - Shilei Dong; Honglei Zhao; Liyuan Gao; Zhifan Zhao; Peiyao Zhang (RICAI, 2023)

An Integrated Interferometric Fiber Optic Sensor Using a 638 nm Semiconductor Laser for Air-Water Surface Velocity Measurements. - Ran Song 005; Xinyu Zhang; Lili Jiang; Zhijun Zhang; Zhigang Qiao; Xianglong Hao; Juan Su; Chenxu Lu; Guangbing Yang; Xuejun Xiong; Liyuan Gao; Chi Wu (Sensors, 2023)

Mitigate Gender Bias Using Negative Multi-task Learning. - Liyuan Gao; Huixin Zhan; Victor S. Sheng (Neural Process. Lett., 2023)

Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract). - Liyuan Gao; Matthew Zhang; Victor S. Sheng (AAAI, 2024)

Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. - Liyuan Gao; Huixin Zhan; Victor S. Sheng (ICANN (4), 2024)

Privacy-Preserving Unsupervised Spherical Text Embeddings. - Huixin Zhan; Liyuan Gao; Victor S. Sheng (IJCNN, 2024)

Multi-axis fusion with optimal transport learning for multimodal aspect-based sentiment analysis. - Li Jia; Tinghuai Ma; Huan Rong; Liyuan Gao; Yu-Feng Zhang; Victor S. Sheng (Expert Syst. Appl., 2025)

Fingerprint-Based Deduplication for Renewable Energy Data On-Site Analyzing. - Zeng Zeng; Liyuan Gao; Hongyue Ma; Wenjing Li (IEEE Open J. Commun. Soc., 2025)