Jingqi Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Cooperative Games

Intrusion Detection

Augmented Lagrangian

Top Venues

Frontiers Inf. Technol. Electron. Eng.

Publications

Yiming Lei, Jingqi Li, Zilong Li, Yuan Cao, Hongming Shan
Prompt learning in computer vision: a survey. Frontiers Inf. Technol. Electron. Eng. 25 (1) (2024)
Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games. CoRR (2024)
Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi, Claire J. Tomlin, Andrea Bajcsy
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations. CoRR (2024)
Christopher Strong, Kaylene C. Stocking, Jingqi Li, Tianjiao Zhang, Jack L. Gallant, Claire J. Tomlin
A framework for evaluating human driver models using neuroimaging. L4DC (2024)
Yunzhi Bai, Haonan Huang, Jingqi Li
Application of BP Neural Network Based on Genetic Algorithm Optimization for Prediction of Vegetable Sales Datasets. ICEITSA (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. CoRR (2023)
Ting Wang, Jianpeng Tang, Chenghao Wang, Donghui Yang, Jingqi Li, Wanzeng Kong, Xugang Xi
Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network. Biomed. Signal Process. Control. 79 (Part) (2023)
Dimitris Papadimitriou, Jingqi Li
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization. CDC (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. AAMAS (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CoRR (2023)
Morteza Namvar, Jingqi Li, Saeed Akhlaghpour
Understanding Bitcoin Fluctuations via Tweet and User Characteristics. PACIS (2023)
Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Fei-Yue Wang, Junping Zhang
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting. Frontiers Inf. Technol. Electron. Eng. 24 (2) (2023)
Dimitris Papadimitriou, Jingqi Li
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization. CoRR (2023)
Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang
Motion Matters: A Novel Motion Modeling for Cross-View Gait Feature Learning. ICASSP (2023)
Jingqi Li, Yuzhen Zhang, Hongming Shan, Junping Zhang
Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework. ICASSP (2023)
Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Junping Zhang
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting. CoRR (2022)
Morteza Namvar, Jingqi Li, James Boyce, Saeed Akhlaghpour, Marta Indulska
Exploring the Relationship between Influencers' Sentiment and Cryptocurrency Fluctuation through Microblogs. ACIS (2022)
Jingqi Li, Yifei Lu, Zhengzhi Xu, Shuren Li, Lei Qian
MILP: A Memory Improved LSTM Prediction Algorithm for Gradient Transmission Time in Distributed Deep Learning. ICC (2022)
Changjiang Cui, Yifei Lu, Shuren Li, Jingqi Li, Zeqi Ruan
DASH+: Download Multiple Video Segments with Stream Multiplexing of QUIC. CBD (2022)
Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang
GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition. CoRR (2022)
Xugang Xi, Jinsuo Ding, Junhong Wang, Yun-Bo Zhao, Ting Wang, Wanzeng Kong, Jingqi Li
Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Shuren Li, Yifei Lu, Jingqi Li
CAD-IDS: A Cooperative Adaptive Distributed Intrusion Detection System with Fog Computing. CSCWD (2022)
Jingqi Li, Donggun Lee, Somayeh Sojoudi, Claire J. Tomlin
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning. CoRR (2022)
Mingyang Yu, Jingqi Li, Yongqiang Lv, Huaqiao Xing, Huimeng Wang
Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China. ISPRS Int. J. Geo Inf. 10 (10) (2021)
Zhengzhi Xu, Yifei Lu, Jingqi Li, Xu Ma, Lei Qian
Tailor : Datacenter Load Balancing For Accelerating Distributed Deep Learning. CBD (2021)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
On the Structural Target Controllability of Undirected Networks. IEEE Trans. Autom. Control. 66 (10) (2021)
Ting Gao, Min Nie, Kaijie Han, Jin Wang, Feng Tian, Jingqi Li
Error Analysis and Performance Simulation of Quantum Satellite Positioning System under Snowfall Background. ICAIT (2021)
Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems. CDC (2021)
Shuren Li, Yifei Lu, Jingqi Li
Can We Half the Work with Double Results: Rethinking Machine Learning Algorithms for Network Intrusion Detection System. CBD (2021)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks. CoRR (2021)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Tightened Convex Relaxations for Neural Network Robustness Certification. CDC (2020)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Tightened Convex Relaxations for Neural Network Robustness Certification. CoRR (2020)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Resilient Structural Stabilizability of Undirected Networks. ACC (2019)
Quan Shi, Tieshan Li, Jingqi Li, C. L. Philip Chen, Yang Xiao, Qi-He Shan
Adaptive leader-following formation control with collision avoidance for a class of second-order nonlinear multi-agent systems. Neurocomputing 350 (2019)
Cheng Liu, Jingqi Li, Rong Zhao, Tieshan Li
NN - Sliding Mode Control Design for Trajectory Tracking and Roll Reduction of Marine Vessels. ISNN (2018)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Structural Target Controllability of Undirected Networks. CDC (2018)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Resilient Structural Stabilizability of Undirected Networks. CoRR (2018)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Structural Target Controllability of Undirected Networks. CoRR (2018)