Jingqi Li

Orcid: 0000-0002-3731-3807

According to our database1, Jingqi Li authored at least 33 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Prompt learning in computer vision: a survey.
Frontiers Inf. Technol. Electron. Eng., January, 2024

Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients.
CoRR, 2024

To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?
CoRR, 2024

Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function.
CoRR, 2024

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations.
CoRR, 2024

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games.
CoRR, 2024

A framework for evaluating human driver models using neuroimaging.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting.
Frontiers Inf. Technol. Electron. Eng., February, 2023

Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network.
Biomed. Signal Process. Control., 2023

Application of BP Neural Network Based on Genetic Algorithm Optimization for Prediction of Vegetable Sales Datasets.
Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture, 2023

Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework.
Proceedings of the IEEE International Conference on Acoustics, 2023

Motion Matters: A Novel Motion Modeling for Cross-View Gait Feature Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy.
IEEE J. Biomed. Health Informatics, 2022

GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition.
CoRR, 2022

Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting.
CoRR, 2022

Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning.
CoRR, 2022

MILP: A Memory Improved LSTM Prediction Algorithm for Gradient Transmission Time in Distributed Deep Learning.
Proceedings of the IEEE International Conference on Communications, 2022

CAD-IDS: A Cooperative Adaptive Distributed Intrusion Detection System with Fog Computing.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

DASH+: Download Multiple Video Segments with Stream Multiplexing of QUIC.
Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

2021
On the Structural Target Controllability of Undirected Networks.
IEEE Trans. Autom. Control., 2021

Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China.
ISPRS Int. J. Geo Inf., 2021

Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks.
CoRR, 2021

Error Analysis and Performance Simulation of Quantum Satellite Positioning System under Snowfall Background.
Proceedings of the 13th International Conference on Advanced Infocomm Technology, 2021

Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Tailor : Datacenter Load Balancing For Accelerating Distributed Deep Learning.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

Can We Half the Work with Double Results: Rethinking Machine Learning Algorithms for Network Intrusion Detection System.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020
Tightened Convex Relaxations for Neural Network Robustness Certification.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Adaptive leader-following formation control with collision avoidance for a class of second-order nonlinear multi-agent systems.
Neurocomputing, 2019

Resilient Structural Stabilizability of Undirected Networks.
Proceedings of the 2019 American Control Conference, 2019

2018
NN - Sliding Mode Control Design for Trajectory Tracking and Roll Reduction of Marine Vessels.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018


  Loading...