Pin-Lun Hsu

According to our database, Pin-Lun Hsu authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.

Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh Pillai, Luke Simon

CoRR, February, 2025

Locality-aware Fair Scheduling in LLM Serving.

Shiyi Cao, Yichuan Wang, Ziming Mao, Pin-Lun Hsu, Liangsheng Yin, Tian Xia, Dacheng Li, Shu Liu, Yineng Zhang, Yang Zhou, Ying Sheng, Joseph Gonzalez, Ion Stoica

CoRR, January, 2025

Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.

Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Liger Kernel: Efficient Triton Kernels for LLM Training.

Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen

CoRR, 2024

2023

NFT.mine: An xDeepFM-based Recommender System for Non-fungible Token (NFT) Buyers.

Shuwei Li, Yucheng Jin, Pin-Lun Hsu, Ya-Sin Luo

CoRR, 2023

2020

Self-Supervised Deep Learning for Fisheye Image Rectification.

Chun-Hao Chao, Pin-Lun Hsu, Hung-Yi Lee, Yu-Chiang Frank Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020