Self-Supervised Deep Learning for Fisheye Image Rectification. - Chun-Hao Chao; Pin-Lun Hsu; Hung-Yi Lee; Yu-Chiang Frank Wang (ICASSP, 2020)

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)

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)

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 (WWW (Companion Volume), 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 007; Joseph Gonzalez 001; et al. (CoRR, 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; et al. (CoRR, 2025)