Reducing Classification Times for Email Spam Using Incremental Multiple Instance Classifiers. - Teng-Sheng Moh; Nicholas Lee (ICISTM, 2011)

Signal noise perturbation on automotive mixed-mode semiconductor device generated by graded substrate defect. - Yann Weber; Linda Buffo; Béatrice Vanhuffel; Nicholas Lee; Neal Stirlen; Jeff Chen; Xiang-Dong Wang (Microelectron. Reliab., 2014)

Study of long short-term memory in flow-based network intrusion detection system. - Nicholas Lee; Shih Yin Ooi; Ying-Han Pang; Seong Oun Hwang; Syh-Yuan Tan (J. Intell. Fuzzy Syst., 2018)

Real-Time Motion Tracking System and Data Analytics for Live Insects Using Three-Wheeled Servosphere System. - Nicholas Lee; Dal Hyung Kim (CCWC, 2022)

Integer-Only Zero-Shot Quantization for Efficient Speech Recognition. - Sehoon Kim 001; Amir Gholami; Zhewei Yao; Nicholas Lee; Patrick Wang; Aniruddha Nrusimha; Bohan Zhai; Tianren Gao; Michael W. Mahoney; Kurt Keutzer (ICASSP, 2022)

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. - Sehoon Kim 001; Amir Gholami; Albert E. Shaw; Nicholas Lee; Karttikeya Mangalam; Jitendra Malik; Michael W. Mahoney; Kurt Keutzer (NeurIPS, 2022)

Benchmarking full version of GureKDDCup, UNSW-NB15, and CIDDS-001 NIDS datasets using rolling-origin resampling. - Yee Jian Chew; Nicholas Lee; Shih Yin Ooi; Kok-Seng Wong; Ying-Han Pang (Inf. Secur. J. A Glob. Perspect., 2022)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters. - Ying Sheng 007; Shiyi Cao; Dacheng Li; Coleman Hooper; Nicholas Lee; Shuo Yang; Christopher Chou; Banghua Zhu; Lianmin Zheng; Kurt Keutzer; Joseph E. Gonzalez; Ion Stoica (CoRR, 2023)

ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms. - Daniel Levitas; Soichi Hayashi; Sophia Vinci-Booher; Anibal Sólon Heinsfeld; Dheeraj Bhatia; Nicholas Lee; Anthony Galassi; Guiomar Niso; Franco Pestilli (CoRR, 2023)

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. - Nicholas Lee; Thanakul Wattanawong; Sehoon Kim 001; Karttikeya Mangalam; Sheng Shen 001; Gopala Anumanchipalli; Michael W. Mahoney; Kurt Keutzer; Amir Gholami (ACL (Findings), 2024)

An LLM Compiler for Parallel Function Calling. - Sehoon Kim 001; Suhong Moon; Ryan Tabrizi; Nicholas Lee; Michael W. Mahoney; Kurt Keutzer; Amir Gholami (ICML, 2024)

SLoRA: Scalable Serving of Thousands of LoRA Adapters. - Ying Sheng 007; Shiyi Cao; Dacheng Li; Coleman Hooper; Nicholas Lee; Shuo Yang; Christopher Chou; Banghua Zhu; Lianmin Zheng; Kurt Keutzer; Joseph Gonzalez 001; Ion Stoica (MLSys, 2024)

TinyAgent: Function Calling at the Edge. - Lutfi Eren Erdogan; Nicholas Lee; Siddharth Jha; Sehoon Kim 001; Ryan Tabrizi; Suhong Moon; Coleman Hooper; Gopala Anumanchipalli; Kurt Keutzer; Amir Gholami (CoRR, 2024)

Sylber: Syllabic Embedding Representation of Speech from Raw Audio. - Cheol Jun Cho; Nicholas Lee; Akshat Gupta; Dhruv Agarwal 005; Ethan Chen; Alan W. Black; Gopala Anumanchipalli (ICLR, 2025)

ETS: Efficient Tree Search for Inference-Time Scaling. - Coleman Hooper; Sehoon Kim 001; Suhong Moon; Kerem Dilmen; Monishwaran Maheswaran; Nicholas Lee; Michael W. Mahoney; Yakun Sophia Shao; Kurt Keutzer; Amir Gholami (CoRR, 2025)

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks. - Lutfi Eren Erdogan; Nicholas Lee; Sehoon Kim 001; Suhong Moon; Hiroki Furuta; Gopala Anumanchipalli; Kurt Keutzer; Amir Gholami (CoRR, 2025)

Scaling Spoken Language Models with Syllabic Speech Tokenization. - Nicholas Lee; Cheol Jun Cho; Alan W. Black; Gopala Krishna Anumanchipalli (CoRR, 2025)