Kai Xu

Orcid: 0000-0003-3617-569X

Affiliations:
  • National University of Defense Technology, College of Systems Engineering, Changsha, Hunan, China (PhD 2020)


According to our database1, Kai Xu authored at least 41 papers between 2014 and 2026.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2026
Goal-oriented multi-robot collaborative source search with dynamic exploration-exploitation balance in large-scale constrained areas.
Inf. Fusion, 2026

2025
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.
CoRR, February, 2025

2024
Conversational Crowdsensing in the Age of Industry 5.0: A Parallel Intelligence and Large Models Powered Novel Sensing Approach.
IEEE Trans. Comput. Soc. Syst., December, 2024

Shrinking VOD Traffic via Rényi-Entropic Optimal Transport.
Proc. ACM Meas. Anal. Comput. Syst., 2024

NetGSR: Towards Efficient and Reliable Network Monitoring with Generative Super Resolution.
PACMNET, 2024

PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis.
CoRR, 2024

Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach.
CoRR, 2024

The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness.
CoRR, 2024

PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

A Prototype Design of LLM-Based Autonomous Web Crowdsensing.
Proceedings of the Web Engineering - 24th International Conference, 2024

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Multimodal Sentiment Analysis via Learning from Large Language Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation.
CoRR, 2023

Dynamic Multi-modal Prompting for Efficient Visual Grounding.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022
AppShot: A Conditional Deep Generative Model for Synthesizing Service-Level Mobile Traffic Snapshots at City Scale.
IEEE Trans. Netw. Serv. Manag., December, 2022

CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022

GenDT: mobile network drive testing made efficient with generative modeling.
Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022

2021
Interpretable Goal Recognition for Path Planning with ART Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

SpectraGAN: spectrum based generation of city scale spatiotemporal mobile network traffic data.
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

2020
Single Real Goal, Magnitude-Based Deceptive Path-Planning.
Entropy, 2020

Improving the Scalability of the Magnitude-Based Deceptive Path-Planning Using Subgoal Graphs.
Entropy, 2020

A Semi-Markov Decision Model With Inverse Reinforcement Learning for Recognizing the Destination of a Maneuvering Agent in Real Time Strategy Games.
IEEE Access, 2020

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Decomposition Approach for Stochastic Shortest-Path Network Interdiction with Goal Threshold.
Symmetry, 2019

Goal Identification Control Using an Information Entropy-Based Goal Uncertainty Metric.
Entropy, 2019

Online probabilistic goal recognition and its application in dynamic shortest-path local network interdiction.
Eng. Appl. Artif. Intell., 2019

Diagnosing Reinforcement Learning for Traffic Signal Control.
CoRR, 2019

Targeted Knowledge Transfer for Learning Traffic Signal Plans.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Phase Competition for Traffic Signal Control.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CoLight: Learning Network-level Cooperation for Traffic Signal Control.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
基于改进分层任务网的指控行为模型 (Command and Control Behavior Model Based on Improved Hierarchical Task Network).
计算机科学, 2017

Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Towards an Integrated Learning Framework for Behavior Modeling of Adaptive CGFs.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

Behavior Model in Large Scale Analytical Simulation System.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

Diversity voting and its application in real-time strategy games multi-objective optimization decision-making behavior modeling.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

2015
Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection.
Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015

2014
A Path Planning Algorithm Based on Parallel Particle Swarm Optimization.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014


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