Liyuan Gao

14 papers A* 2B 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
ComplexWaveGAT: Complex-Valued Graph Attention Networks for Modeling Protein-Protein Interactions.
BIBM
Liyuan Gao, Xin Zhang, Kun Zhang, Victor S. Sheng
2025 J jnl
Enhancing Transcription Factor Prediction via Domain Knowledge Integration With Logic Tensor Networks.
IEEE Trans. Comput. Biol. Bioinform.
Liyuan Gao, Linpeng Sun, Victor S. Sheng
2025 J jnl
Fingerprint-Based Deduplication for Renewable Energy Data On-Site Analyzing.
IEEE Open J. Commun. Soc.
Zeng Zeng, Liyuan Gao, Hongyue Ma, Wenjing Li
2025 J jnl
Multi-axis fusion with optimal transport learning for multimodal aspect-based sentiment analysis.
Expert Syst. Appl.
Li Jia, Tinghuai Ma, Huan Rong, Liyuan Gao, Yu-Feng Zhang, Victor S. Sheng
2024 J jnl
Data cube-based storage optimization for resource-constrained edge computing.
High Confid. Comput.
Liyuan Gao, Wenjing Li, Hongyue Ma, Yumin Liu, Chunyang Li
2024 A* conf
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract).
AAAI
Liyuan Gao, Matthew Zhang, Victor S. Sheng
2024 — conf
Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning.
ICANN (4)
Liyuan Gao, Huixin Zhan, Victor S. Sheng
2024 B conf
Privacy-Preserving Unsupervised Spherical Text Embeddings.
IJCNN
Huixin Zhan, Liyuan Gao, Victor S. Sheng
2023 J jnl
An Integrated Interferometric Fiber Optic Sensor Using a 638 nm Semiconductor Laser for Air-Water Surface Velocity Measurements.
Sensors
Ran Song, Xinyu Zhang, Lili Jiang, Zhijun Zhang, Zhigang Qiao, Xianglong Hao, Juan Su, Chenxu Lu, Guangbing Yang, Xuejun Xiong, Liyuan Gao, Chi Wu
2023 B conf
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks.
DSAA
Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
2023 — conf
Explainable Transcription Factor Prediction with Protein Language Models.
BIBM
Liyuan Gao, Kyler Shu, Jun Zhang, Victor S. Sheng
2023 — conf
Feasibility Analysis of State-of-the-Art Time Series Models for Wind Power Forecasting with Irregular Missing Data.
RICAI
Shilei Dong, Honglei Zhao, Liyuan Gao, Zhifan Zhao, Peiyao Zhang
2023 J jnl
Mitigate Gender Bias Using Negative Multi-task Learning.
Neural Process. Lett.
Liyuan Gao, Huixin Zhan, Victor S. Sheng
2023 A* conf
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract).
AAAI
Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng