Qin Lv

Full Professor, Computer Science, University of Colorado at Boulder

Joined

July 2019

Names

Qin Lv

Emails

****@colorado.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Computer Science, University of Colorado at Boulder (colorado.edu)

2021 – Present

Advisors, Relations & Conflicts

PhD Advisee

Yawen Zhang

2016 – 2022

PhD Advisor

Kai Li

2000 – 2006

Expertise

multi-modal data fusion

Present

anomaly detection

Present

social network analysis

Present

mobile sensing

wearable sensing

Present

Publications

Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang
- ICML 2025 poster
- Readers: Everyone
Large Learning Rates without the Agonizing Pain: Dispelling the Curse of Singularities in Deep Neural Networks
Hengjie Cao, Yifeng Yang, Mengyi Chen, Ruijun Huang, Fang Dong, Jixian Zhou, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Efficiently pre-training language models with mixtures of cluster-oriented, trainability-aware experts
Fang Dong, Jixian Zhou, Hengjie Cao, Mengyi Chen, Yifeng Yang, Ruijun Huang, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
- NeurIPS 2024 poster
- Readers: Everyone
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang
- NeurIPS 2023 poster
- Readers: Everyone
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
- Published: 01 Feb 2023, Last Modified: 09 May 2023
- ICLR 2023 poster
- Readers: Everyone
Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert P. Dick, Qin Lv, Fan Yang, Li Shang
- Published: 28 Jan 2022, Last Modified: 09 May 2023
- ICLR 2022 Poster
- Readers: Everyone
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering
Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu
- 2018 (modified: 12 Nov 2022)
- WWW 2018
- Readers: Everyone
International Workshop on Cybersafety Chairs' Welcome & Organization
Richard Han, Jeremy Blackburn, Homa Hosseinmardi, Qin Lv, Bert Huang, Shivakant Mishra
- 2018 (modified: 12 Nov 2022)
- WWW (Companion Volume) 2018
- Readers: Everyone
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering
Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
- 2017 (modified: 02 Mar 2020)
- AAAI 2017
- Readers: Everyone

View all 16 publications

Co-Authors

View all 39 co-authors