Jing Li
Jing Li
Associate Professor, Computer Science
4419 Guttenberg Information Technologies Center (GITC)
About Me
Jing Li is an assistant professor in the Department of Computer Science at New Jersey Institute of Technology. Her research interests include real-time systems, parallel computing, cyber-physical systems, and reinforcement learning for system design and optimization. She has high impact publications in top journals and conferences with 3 outstanding paper awards. She received her Ph.D. degree from Washington University in St. Louis in 2017.
Education
Ph.D.; Washington University in St Louis; Computer Science; 2017
M.S.; Washington University in St Louis; Computer Science; 2014
M.S.; Washington University in St Louis; Computer Science; 2014
Website
2024 Fall Courses
CS 488 - INDEPENDENT STUDY IN CS
DS 790A - DOCT DISSERTATION & RES
CS 701B - MASTER'S THESIS
DS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
CS 725 - INDEPENDENT STUDY I
CS 792 - PRE-DOCTORAL RESEARCH
DS 726 - INDEPENDENT STUDY II
CS 700B - MASTER'S PROJECT
DS 792B - PRE-DOCTORAL RESEARCH
CS 726 - INDEPENDENT STUDY II
DS 790A - DOCT DISSERTATION & RES
CS 701B - MASTER'S THESIS
DS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
CS 725 - INDEPENDENT STUDY I
CS 792 - PRE-DOCTORAL RESEARCH
DS 726 - INDEPENDENT STUDY II
CS 700B - MASTER'S PROJECT
DS 792B - PRE-DOCTORAL RESEARCH
CS 726 - INDEPENDENT STUDY II
Past Courses
CS 241: FOUNDATIONS OF COMP SCIENCE I
CS 332: PRINCIPLES OF OPER SYS
CS 506: FOUND COMPUTER SCIENCE
CS 630: OPERATING SYSTEM DESIGN
CS 630: OPERATING SYSTEMS DESIGN
CS 786: SEL TOP IN COM INF SCI II
DS 669: REINFORCEMENT LEARNING
CS 332: PRINCIPLES OF OPER SYS
CS 506: FOUND COMPUTER SCIENCE
CS 630: OPERATING SYSTEM DESIGN
CS 630: OPERATING SYSTEMS DESIGN
CS 786: SEL TOP IN COM INF SCI II
DS 669: REINFORCEMENT LEARNING
Research Interests
Real-Time and Cyber-Physical Systems;
Parallel Computing;
Reinforcement Learning for System Design and Optimization;
Scheduling and Operations Research.
Parallel Computing;
Reinforcement Learning for System Design and Optimization;
Scheduling and Operations Research.
Conference Proceeding
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
41st International Conference on Machine Learning (ICML), July (3rd Quarter/Summer) 2024
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
41st International Conference on Machine Learning (ICML), July (3rd Quarter/Summer) 2024
A Cache/Algorithm Co-design for Parallel Real-Time Systems with Data Dependency on Multi/Many-core System-on-Chips
ACM/IEEE Design Automation Conference (DAC'24), June 2024
Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design
ACM/IEEE Design Automation Conference (DAC'24), June 2024
Energy Efficient Real-Time Scheduling on Heterogeneous Architectures with Self-Suspension Model
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED’23), August 2023
41st International Conference on Machine Learning (ICML), July (3rd Quarter/Summer) 2024
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
41st International Conference on Machine Learning (ICML), July (3rd Quarter/Summer) 2024
A Cache/Algorithm Co-design for Parallel Real-Time Systems with Data Dependency on Multi/Many-core System-on-Chips
ACM/IEEE Design Automation Conference (DAC'24), June 2024
Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design
ACM/IEEE Design Automation Conference (DAC'24), June 2024
Energy Efficient Real-Time Scheduling on Heterogeneous Architectures with Self-Suspension Model
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED’23), August 2023
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Journal Article
Du, Wenlu, & Dash, Ankan, & Li, Jing, & Wei, Hua, & Wang, Guiling (2023). Safety in Traffic Management Systems: A Comprehensive Survey. MDPI Designs,
Zou, An, & Li, Jing, & Gill, Chris, & Zhang, Xuan (2023). Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization. IEEE Transactions on Parallel and Distributed Systems (TPDS),
Fan, Shaoze, & Zhang, Shun, & Cao, Ningyuan, & Guo, Xiaoxiao, & Li, Jing, & Zhang, Xin (2022). Power Converter Circuit Design Automation using Parallel Monte Carlo Tree Search. ACM Transactions on Design Automation of Electronic Systems (TODAES),
Wang, Zhe, & Xu, Chen, & Agrawal, Kunal, & Li, Jing (2022). Adaptive Scheduling of Multiprogrammed Dynamic-Multithreading Applications. Journal of Parallel and Distributed Computing (JPDC),
Bian, Jiang, & Arafat, Abdullah Al, & Xiong, Haoyi, & Li, Jing, & Li, Li, & Chen, Hongyang, & Wang, Jun, & Dou, Dejing, & Guo, Zhishan (2022). Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet of Things Journal (IOTJ),
Zou, An, & Li, Jing, & Gill, Chris, & Zhang, Xuan (2023). Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization. IEEE Transactions on Parallel and Distributed Systems (TPDS),
Fan, Shaoze, & Zhang, Shun, & Cao, Ningyuan, & Guo, Xiaoxiao, & Li, Jing, & Zhang, Xin (2022). Power Converter Circuit Design Automation using Parallel Monte Carlo Tree Search. ACM Transactions on Design Automation of Electronic Systems (TODAES),
Wang, Zhe, & Xu, Chen, & Agrawal, Kunal, & Li, Jing (2022). Adaptive Scheduling of Multiprogrammed Dynamic-Multithreading Applications. Journal of Parallel and Distributed Computing (JPDC),
Bian, Jiang, & Arafat, Abdullah Al, & Xiong, Haoyi, & Li, Jing, & Li, Li, & Chen, Hongyang, & Wang, Jun, & Dou, Dejing, & Guo, Zhishan (2022). Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet of Things Journal (IOTJ),
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Chapter
Li, Jing, & Agrawal, Kunal, & Lu, Chenyang (2021). Parallel Real-Time Scheduling, Springer. Springer