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Pin-Lun Hsu
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2020 – today
- 2025
- [c2]Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta
, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang
, Sirou Zhu
, Pin-Lun Hsu:
Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems. WWW (Companion Volume) 2025: 1-4 - [i4]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:
Locality-aware Fair Scheduling in LLM Serving. CoRR abs/2501.14312 (2025) - [i3]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:
Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications. CoRR abs/2502.14305 (2025) - 2024
- [i2]Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen:
Liger Kernel: Efficient Triton Kernels for LLM Training. CoRR abs/2410.10989 (2024) - 2023
- [i1]Shuwei Li, Yucheng Jin, Pin-Lun Hsu, Ya-Sin Luo:
NFT.mine: An xDeepFM-based Recommender System for Non-fungible Token (NFT) Buyers. CoRR abs/2306.03942 (2023) - 2020
- [c1]Chun-Hao Chao, Pin-Lun Hsu, Hung-Yi Lee, Yu-Chiang Frank Wang:
Self-Supervised Deep Learning for Fisheye Image Rectification. ICASSP 2020: 2248-2252
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