Shengyao Lu

According to our database, Shengyao Lu authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction.

Shengyao Lu, Jiuding Yang, Baochun Li, Di Niu

CoRR, March, 2025

Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications.

Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang

IEEE Access, 2025

TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution.

Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time.

Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GOAt: Explaining Graph Neural Networks via Graph Output Attribution.

Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Building Optimal Neural Architectures Using Interpretable Knowledge.

Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization.

Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2022

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning.

Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu

Proceedings of the Tenth International Conference on Learning Representations, 2022