Liyuan Gao

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Transcription Factors

Multi Task Learning

Learning Problems

Top Venues

Publications

Liyuan Gao, Matthew Zhang, Victor S. Sheng
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract). AAAI (2024)
Liyuan Gao, Huixin Zhan, Victor S. Sheng
Mitigate Gender Bias Using Negative Multi-task Learning. Neural Process. Lett. 55 (8) (2023)
Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). AAAI (2023)
Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA (2023)
Shilei Dong, Honglei Zhao, Liyuan Gao, Zhifan Zhao, Peiyao Zhang
Feasibility Analysis of State-of-the-Art Time Series Models for Wind Power Forecasting with Irregular Missing Data. RICAI (2023)
Ran Song, Xinyu Zhang, Lili Jiang, Zhijun Zhang, Zhigang Qiao, Xianglong Hao, Juan Su, Chenxu Lu, Guangbing Yang, Xuejun Xiong, Liyuan Gao, Chi Wu
An Integrated Interferometric Fiber Optic Sensor Using a 638 nm Semiconductor Laser for Air-Water Surface Velocity Measurements. Sensors 23 (4) (2023)
Liyuan Gao, Kyler Shu, Jun Zhang, Victor. S. Sheng
Explainable Transcription Factor Prediction with Protein Language Models. BIBM (2023)