Li Shang

Li Shang

University of Colorado Boulder

H-index: 52

North America-United States

About Li Shang

Li Shang, With an exceptional h-index of 52 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Colorado Boulder, specializes in the field of Human-centered AGI, machine learning, computer systems, VLSI&EDA.

His recent articles reflect a diverse array of research interests and contributions to the field:

MACRO: Multi-agent Reinforcement Learning-based Cross-layer Optimization of Operational Amplifier

Simulating News Recommendation Ecosystems for Insights and Implications

Frequency-aware Graph Signal Processing for Collaborative Filtering

Medical records condensation: a roadmap towards healthcare data democratisation

Hierarchical Graph Learning-Based Floorplanning With Dirichlet Boundary Conditions

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models

Neural Kalman Filtering for Robust Temporal Recommendation

Automated and Agile Design of Layout Hotspot Detector via Neural Architecture Search

Li Shang Information

University

Position

___

Citations(all)

8596

Citations(since 2020)

2308

Cited By

7743

hIndex(all)

52

hIndex(since 2020)

28

i10Index(all)

109

i10Index(since 2020)

56

Email

University Profile Page

University of Colorado Boulder

Google Scholar

View Google Scholar Profile

Li Shang Skills & Research Interests

Human-centered AGI

machine learning

computer systems

VLSI&EDA

Top articles of Li Shang

Title

Journal

Author(s)

Publication Date

MACRO: Multi-agent Reinforcement Learning-based Cross-layer Optimization of Operational Amplifier

Zihao Chen

Songlei Meng

Fan Yang

Li Shang

Xuan Zeng

2024/1/22

Simulating News Recommendation Ecosystems for Insights and Implications

IEEE Transactions on Computational Social Systems

Guangping Zhang

Dongsheng Li

Hansu Gu

Tun Lu

Li Shang

...

2024/4/18

Frequency-aware Graph Signal Processing for Collaborative Filtering

arXiv preprint arXiv:2402.08426

Jiafeng Xia

Dongsheng Li

Hansu Gu

Tun Lu

Peng Zhang

...

2024/2/13

Medical records condensation: a roadmap towards healthcare data democratisation

Anshul Thakur

Yujiang Wang

Mingzhi Dong

Pingchuan Ma

Stavros Petridis

...

2024/1/8

Hierarchical Graph Learning-Based Floorplanning With Dirichlet Boundary Conditions

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Yiting Liu

Hai Zhou

Jia Wang

Fan Yang

Xuan Zeng

...

2024/3/8

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models

Advances in Neural Information Processing Systems

Yubin Shi

Yixuan Chen

Mingzhi Dong

Xiaochen Yang

Dongsheng Li

...

2024/2/13

Neural Kalman Filtering for Robust Temporal Recommendation

Jiafeng Xia

Dongsheng Li

Hansu Gu

Tun Lu

Peng Zhang

...

2024/3/4

Automated and Agile Design of Layout Hotspot Detector via Neural Architecture Search

Zihao Chen

Fan Yang

Li Shang

Xuan Zeng

2023/4/17

Triple structural information modelling for accurate, explainable and interactive recommendation

Jiahao Liu

Dongsheng Li

Hansu Gu

Tun Lu

Peng Zhang

...

2023/7/19

GNN-Cap: Chip-Scale Interconnect Capacitance Extraction Using Graph Neural Network

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Lihao Liu

Fan Yang

Li Shang

Xuan Zeng

2023/11/10

CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Xiangyao Qi

Qi Lu

Wentao Pan

Yingying Zhao

Rui Zhu

...

2023/9/27

Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Yingying Zhao

Ning Li

Wentao Pan

Yujiang Wang

Mingzhi Dong

...

2023/1/11

Is dataset condensation a silver bullet for healthcare data sharing?

arXiv preprint arXiv:2305.03711

Yujiang Wang

Anshul Thakur

Mingzhi Dong

Pingchuan Ma

Stavros Petridis

...

2023/5/5

Methods and apparatus for power expenditure and technique determination during bipedal motion

2023/6/22

A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction

arXiv preprint arXiv:2311.04625

Fangye Wang

Yingxu Wang

Hansu Gu

Dongsheng Li

Tun Lu

...

2023/11/8

TOTAL: Topology Optimization of Operational Amplifier via Reinforcement Learning

Zihao Chen

Songlei Meng

Fan Yang

Li Shang

Xuan Zeng

2023/4/5

Visual attention tracking using gaze and visual content analysis

2023/5/4

Automatic Op-Amp Generation From Specification to Layout

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Jialin Lu

Liangbo Lei

Jiangli Huang

Fan Yang

Li Shang

...

2023/7/18

Recommendation Unlearning via Matrix Correction

arXiv preprint arXiv:2307.15960

Jiahao Liu

Dongsheng Li

Hansu Gu

Tun Lu

Jiongran Wu

...

2023/7/29

Personalized graph signal processing for collaborative filtering

Jiahao Liu

Dongsheng Li

Hansu Gu

Tun Lu

Peng Zhang

...

2023/4/30

See List of Professors in Li Shang University(University of Colorado Boulder)

Co-Authors

H-index: 93
Dragan Maksimovic

Dragan Maksimovic

University of Colorado Boulder

H-index: 86
Ronggui Yang 杨荣贵

Ronggui Yang 杨荣贵

Huazhong University of Science and Technology

H-index: 84
Anand Raghunathan

Anand Raghunathan

Purdue University

H-index: 84
Niraj Jha

Niraj Jha

Princeton University

H-index: 66
David Brooks

David Brooks

Harvard University

H-index: 45
Qin Lv

Qin Lv

University of Colorado Boulder

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