Shengyao Lu - RankMe

14 papers A* 4B 2Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications. IEEE Access Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang
2025	J	`jnl`	PerfCoder: Large Language Models for Interpretable Code Performance Optimization. CoRR Jiuding Yang, Shengyao Lu, Hongxuan Liu, Shayan Shirahmad Gale Bagi, Zahra Fazel, Tomasz Czajkowski, Di Niu
2025	B	`conf`	TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution. COLING Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu
2025	J	`jnl`	TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction. CoRR Shengyao Lu, Jiuding Yang, Baochun Li, Di Niu
2024	A*	`conf`	Building Optimal Neural Architectures Using Interpretable Knowledge. CVPR Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu
2024	J	`jnl`	Building Optimal Neural Architectures using Interpretable Knowledge. CoRR Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu
2024	A*	`conf`	EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. ICML Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu
2024	J	`jnl`	EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. CoRR Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu
2024	A*	`conf`	GOAt: Explaining Graph Neural Networks via Graph Output Attribution. ICLR Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
2024	J	`jnl`	GOAt: Explaining Graph Neural Networks via Graph Output Attribution. CoRR Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
2024	J	`jnl`	TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution. CoRR Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu
2023	B	`conf`	VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization. FPL Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu
2022	A*	`conf`	R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
2022	J	`jnl`	R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu