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Jingqi Li
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2020 – today
- 2024
- [j8]Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt, Negar Mehr:
To What Extent Do Open-Loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? IEEE Control. Syst. Lett. 8: 2583-2588 (2024) - [j7]Yiming Lei
, Jingqi Li, Zilong Li, Yuan Cao, Hongming Shan
Prompt learning in computer vision: a survey. Frontiers Inf. Technol. Electron. Eng. 25(1): 42-63 (2024) - [c18]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: 1565-1578 - [i16]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 abs/2401.15745 (2024) - [i15]Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi, Claire J. Tomlin, Andrea Bajcsy:
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations. CoRR abs/2402.10182 (2024) - [i14]Jingqi Li, Donggun Lee, Jaewon Lee, Kris Shengjun Dong, Somayeh Sojoudi, Claire J. Tomlin:
Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function. CoRR abs/2408.07866 (2024) - [i13]Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt, Negar Mehr:
To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? CoRR abs/2409.11257 (2024) - [i12]Gabriel Chenevert, Jingqi Li, Achyuta kannan, Sangjae Bae, Donggun Lee:
Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients. CoRR abs/2410.02898 (2024) - [i11]Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu:
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach. CoRR abs/2410.16441 (2024) - 2023
- [j6]Ting Wang, Jianpeng Tang
Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network. Biomed. Signal Process. Control. 79(Part): 104264 (2023) - [j5]Jiaqi Gao
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting. Frontiers Inf. Technol. Electron. Eng. 24(2): 187-202 (2023) - [c17]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: 1062-1070 - [c16]Dimitris Papadimitriou, Jingqi Li:
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization. CDC 2023: 1762-1769 - [c15]Jingqi Li, Chih-Yuan Chiu, Lasse Peters
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC 2023: 8093-8099 - [c14]Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang:
Motion Matters: A Novel Motion Modeling for Cross-View Gait Feature Learning. ICASSP 2023: 1-5 - [c13]Jingqi Li, Yuzhen Zhang, Hongming Shan, Junping Zhang:
Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework. ICASSP 2023: 1-5 - [c12]Yunzhi Bai
Application of BP Neural Network Based on Genetic Algorithm Optimization for Prediction of Vegetable Sales Datasets. ICEITSA 2023: 491-496 - [i10]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 abs/2301.01398 (2023) - [i9]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 abs/2304.01945 (2023) - [i8]Dimitris Papadimitriou, Jingqi Li:
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization. CoRR abs/2304.03367 (2023) - 2022
- [j4]Xugang Xi
Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy. IEEE J. Biomed. Health Informatics 26(10): 5085-5096 (2022) - [c11]Changjiang Cui, Yifei Lu, Shuren Li, Jingqi Li, Zeqi Ruan:
DASH+: Download Multiple Video Segments with Stream Multiplexing of QUIC. CBD 2022: 66-72 - [c10]Shuren Li, Yifei Lu, Jingqi Li:
CAD-IDS: A Cooperative Adaptive Distributed Intrusion Detection System with Fog Computing. CSCWD 2022: 635-640 - [c9]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: 4462-4467 - [i7]Jingqi Li, Donggun Lee, Somayeh Sojoudi, Claire J. Tomlin:
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning. CoRR abs/2203.10142 (2022) - [i6]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 abs/2205.03307 (2022) - [i5]Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang:
GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition. CoRR abs/2210.11817 (2022) - 2021
- [j3]Mingyang Yu
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): 640 (2021) - [j2]Jingqi Li
On the Structural Target Controllability of Undirected Networks. IEEE Trans. Autom. Control. 66(10): 4836-4843 (2021) - [c8]Zhengzhi Xu, Yifei Lu, Jingqi Li, Xu Ma, Lei Qian:
Tailor : Datacenter Load Balancing For Accelerating Distributed Deep Learning. CBD 2021: 45-50 - [c7]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: 242-247 - [c6]Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin:
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems. CDC 2021: 2982-2989 - [c5]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: 161-168 - [i4]Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi:
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks. CoRR abs/2101.09306 (2021) - 2020
- [c4]Brendon G. Anderson, Ziye Ma
Tightened Convex Relaxations for Neural Network Robustness Certification. CDC 2020: 2190-2197 - [i3]Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi:
Tightened Convex Relaxations for Neural Network Robustness Certification. CoRR abs/2004.00570 (2020)
2010 – 2019
- 2019
- [j1]Quan Shi
Adaptive leader-following formation control with collision avoidance for a class of second-order nonlinear multi-agent systems. Neurocomputing 350: 282-290 (2019) - [c3]Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas
Resilient Structural Stabilizability of Undirected Networks. ACC 2019: 5173-5178 - 2018
- [c2]Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas
Structural Target Controllability of Undirected Networks. CDC 2018: 6656-6661 - [c1]Cheng Liu, Jingqi Li, Rong Zhao, Tieshan Li:
NN - Sliding Mode Control Design for Trajectory Tracking and Roll Reduction of Marine Vessels. ISNN 2018: 665-676 - [i2]Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Structural Target Controllability of Undirected Networks. CoRR abs/1809.06773 (2018) - [i1]Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Resilient Structural Stabilizability of Undirected Networks. CoRR abs/1810.00126 (2018)
Coauthor Index
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last updated on 2024-12-12 21:57 CET by the dblp team
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