"MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models"
Conference on Language Modeling (COLM), October (4th Quarter/Autumn), 2024.

"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.

"Precise Scheduling of DAG Tasks with Dynamic Power Management"
Euromicro Conference on Real-Time Systems (ECRTS’23), July (3rd Quarter/Summer), 2023.

"Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs"
IEEE International Parallel and Distributed Processing Symposium (IPDPS’23), May, 2023.

"Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores"
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP’23), March, 2023.

"SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control"
AAAI Conference on Artificial Intelligence (AAAI’23), February, 2023.

" MBTI Personality Prediction for Fictional Characters Using Movie Scripts"
Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP’22 Findings, 22% acceptance rate), December, 2022.

"Achieving Low Latency in Public Edges by Hiding Workloads Mutual Interference"
ACM Symposium on Cloud Computing (SoCC 2022), November, 2022.

"A Survey of Machine Narrative Reading Comprehension Assessments"
International Joint Conference on Artificial Intelligence (IJCAI'22 Survey Track, 18% acceptance rate), July (3rd Quarter/Summer), 2022.

"TVShowGuess: Character Comprehension in Stories as Speaker Guessing"
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'22), July (3rd Quarter/Summer), 2022.

"From Specification to Topology: Automatic Power Converter Design via Reinforcement Learning"
IEEE/ACM International Conference on Computer-Aided Design Proceedings (ICCAD’21), November, 2021.

" AMCilk: A Framework for Multiprogrammed Parallel Workloads"
IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC’20), December, 2020.

" Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay"
IEEE Real-Time Systems Symposium (RTSS'20), December, 2020.

"The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems"
IEEE/ACM International Conference on Computer-Aided Design Proceedings (ICCAD'20), November, 2020.

"Maximizing Throughput in Flow Shop Real-Time Scheduling"
The 23rd International Conference on Approximation Algorithms for Combinatorial Optimization Problems (APPROX 2020), Leibniz International Proceedings in Informatics (LIPIcs), August, 2020.

"Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading"
IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'20), April (2nd Quarter/Spring), 2020.

"Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning"
AAAI Conference on Artificial Intelligence (AAAI'20), February, 2020.

"Practically Efficient Scheduler for Minimizing Average Flow Time of Parallel Jobs"
33rd IEEE International Parallel & Distributed Processing Symposium, May, 2019.

"Reservation-Based Federated Scheduling for Parallel Real-Time Tasks"
39th IEEE Real-Time Systems Symposium, December, 2018.

"Scheduling Parallelizable Jobs Online to Maximize Throughput"
Latin American Symposium on Theoretical Informatics, April (2nd Quarter/Spring), 2018.

"Brief Announcement: Scheduling Parallelizable Jobs Online to Maximize Throughput"
Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures, July (3rd Quarter/Summer), 2017.

Lanshun Nie, Chenghao Fan, Shuang Lin, Li Zhang, Yajuan Li, Jing Li. 2021. "Holistic Resource Allocation under Federated Scheduling for Parallel Real-Time Tasks." ACM Transactions on Embedded Computing Systems (TECS) .

Kunal Agrawal, Sanjoy Baruah, Pontus Ekberg, Jing Li. 2020. "Optimal Scheduling of Measurement-Based Parallel Real-Time Tasks." Real-Time Systems (RTS) , vol. 56 , no. 3 , pp. 247-253.

Weizhe Zhang, Enci Bai, Jing Li. 2020. "Speeding up the Schedulability Analysis and Priority Assignment of Sporadic Tasks under Uniprocessor FPNS." IEEE Transactions on Industrial Informatics (TII) , vol. 16 , no. 10 , pp. 6382-6392.

James Orr, Christopher Gill, Kunal Agrawal, Jing Li, Sanjoy Baruah. 2019. "Elastic Scheduling for Parallel Real-Time Systems." Leibniz Transactions on Embedded Systems , vol. 6 , no. 1 , pp. 05:1-14.

Son Dinh, Jing Li, Kunal Agrawal, Christopher Gill, Chenyang Lu. 2018. "Blocking Analysis for Spin Locks in Real-Time Parallel Tasks." IEEE Transactions on Parallel and Distributed Systems , vol. 29 , no. 4 , pp. 789-802.

Jing Li, David Ferry, Shaurya Ahuja, Kunal Agrawal, Christopher Gill, Chenyang Lu. 2017. "Mixed-criticality federated scheduling for parallel real-time tasks." Real-Time Systems , vol. 53 , no. 5 , pp. 760-811.