Lihao Yin

According to our database, Lihao Yin authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts.

Zixuan Huang, Da Chen, Kecheng Huang, Lihao Yin, Xing Li, Hui-Ling Zhen, Mingxuan Yuan, Zili Shao

CoRR, May, 2026

What Matters For Safety Alignment?

Xing Li, Hui-Ling Zhen, Lihao Yin, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan

CoRR, January, 2026

GGBoost: Graph-split gradient boosting trees.

Isaac Diaz-Ray, Shuren He, Lihao Yin, Ligang Lu, Huiyan Sang

Neurocomputing, 2026

DiLA: Enhancing LLM Tool Learning with Differential Logic Layer.

Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization.

Bowei He, Lihao Yin, Hui-Ling Zhen, Shuqi Liu, Han Wu, Xiaokun Zhang, Mingxuan Yuan, Chen Ma

CoRR, October, 2025

An attention-aware GNN-based input defender against multi-turn jailbreak on LLMs.

Zixuan Huang, Kecheng Huang, Lihao Yin, Bowei He, Hui-Ling Zhen, Mingxuan Yuan, Zili Shao

CoRR, July, 2025

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery.

Bowei He, Lihao Yin, Hui-Ling Zhen, Xiaokun Zhang, Mingxuan Yuan, Chen Ma

CoRR, February, 2025

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks.

Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLMShare: Optimizing LLM Inference Serving with Hardware Architecture Exploration.

Hongduo Liu, Chen Bai, Peng Xu, Lihao Yin, Xianzhi Yu, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning.

Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu

CoRR, 2024

NeuroSelect: Learning to Select Clauses in SAT Solvers.

Hongduo Liu, Peng Xu, Yuan Pu, Lihao Yin, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2021

Row-clustering of a Point Process-valued Matrix.

Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021