Li Shang

Orcid: 0000-0003-3944-7531

Affiliations:
  • University of Colorado Boulder, Boulder, CO, USA


According to our database1, Li Shang authored at least 46 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ChatArch: A Knowledge-driven Graph-of-thought LLM Framework for Processor Architecture Optimization.
ACM Trans. Design Autom. Electr. Syst., March, 2026

RECOSIM: A Universal, Accurate, and Scalable Simulation Framework for Online Community Recommendations.
ACM Trans. Inf. Syst., January, 2026

LLM Agent-based Shilling Attack on Recommender Systems.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025
ActiveEye: Enabling Continuous and Responsive Video Understanding for Smart Eyewear Systems.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2025

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models.
CoRR, May, 2025

LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems.
CoRR, May, 2025

ReZK: A Highly Reconfigurable Accelerator for Zero-Knowledge Proof.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2025

Enhancing LLM-Based Recommendations Through Personalized Reasoning.
CoRR, February, 2025

Enhancing Cross-Domain Recommendations with Memory-Optimized LLM-Based User Agents.
CoRR, February, 2025

Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling.
CoRR, February, 2025

Frequency-aware Graph Signal Processing for Collaborative Filtering.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Improving LLM-powered Recommendations with Personalized Information.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Unbiased Collaborative Filtering with Fair Sampling.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

TL-CSE: Microarchitecture-Compiler Co-design Space Exploration via Transfer Learning.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
A Fully Pipelined Reconfigurable Montgomery Modular Multiplier Supporting Variable Bit-Widths.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

Simulating News Recommendation Ecosystems for Insights and Implications.
IEEE Trans. Comput. Soc. Syst., October, 2024

Can Large Language Models Be Good Companions?: An LLM-Based Eyewear System with Conversational Common Ground.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

PriorMSM: An Efficient Acceleration Architecture for Multi-Scalar Multiplication.
ACM Trans. Design Autom. Electr. Syst., 2024

Hierarchical Graph Signal Processing for Collaborative Filtering.
Proceedings of the ACM on Web Conference 2024, 2024

Neural Kalman Filtering for Robust Temporal Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

The Power of Graph Signal Processing for Chip Placement Acceleration.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Efficient ILT via Multigrid-Schwartz Method.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Artisan: Automated Operational Amplifier Design via Domain-specific Large Language Model.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Guest Editor's Introduction: Machine Learning for VLSI Physical Design.
ACM Trans. Design Autom. Electr. Syst., July, 2023

GraphPlanner: Floorplanning with Graph Neural Network.
ACM Trans. Design Autom. Electr. Syst., March, 2023

A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction.
CoRR, 2023

Recommendation Unlearning via Matrix Correction.
CoRR, 2023

Simulating News Recommendation Ecosystem for Fun and Profit.
CoRR, 2023

Personalized Graph Signal Processing for Collaborative Filtering.
Proceedings of the ACM Web Conference 2023, 2023

Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Editorial for special issue on human-centered cooperative computing.
CCF Trans. Pervasive Comput. Interact., 2022

2018
Collaborative Filtering with Stability.
CoRR, 2018

AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
An algorithm for efficient privacy-preserving item-based collaborative filtering.
Future Gener. Comput. Syst., 2016

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Low-Rank Matrix Approximation with Stability.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2012
Interest-based real-time content recommendation in online social communities.
Knowl. Based Syst., 2012

2011
ETree: Effective and Efficient Event Modeling for Real-Time Online Social Media Networks.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011


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