Kai Xu

48 papers A* 6A 5B 3C 1Misc 1Journal 23Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Goal-oriented multi-robot collaborative source search with dynamic exploration-exploitation balance in large-scale constrained areas.
Inf. Fusion
Mengyu Yan, Zhengqiu Zhu, Yong Zhao, Bin Chen, Yatai Ji, Kai Xu, Shuohao Li
2025 J jnl
Behavior Merging Graph Convolution Network for Multi-Behavior Recommendation.
IEEE Trans. Knowl. Data Eng.
Hao Chen, Zhiqing Li, Yuanchen Bei, Kai Xu, Yijie Zhang, Feiran Huang, Yu Yang, Huan Gong, Fakhri Karray
2025 A* conf
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.
EMNLP
Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang
2025 J jnl
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.
CoRR
Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang
2024 B conf
A Prototype Design of LLM-Based Autonomous Web Crowdsensing.
ICWE
Zhengqiu Zhu, Yatai Ji, Sihang Qiu, Yong Zhao, Kai Xu, Rusheng Ju, Bin Chen
2024 J jnl
Conversational Crowdsensing in the Age of Industry 5.0: A Parallel Intelligence and Large Models Powered Novel Sensing Approach.
IEEE Trans. Comput. Soc. Syst.
Zhengqiu Zhu, Yong Zhao, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, Fei-Yue Wang
2024 J jnl
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach.
CoRR
Zhengqiu Zhu, Yong Zhao, Bin Chen, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, Fei-Yue Wang
2024 Misc conf
DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation.
ICASSP
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
2024 A conf
Enhancing Multimodal Sentiment Analysis via Learning from Large Language Model.
ICME
Ning Pang, Wansen Wu, Yue Hu, Kai Xu, Quanjun Yin, Long Qin
2024 A* conf
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding.
ICML
Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, N. Siddharth, Shuo Chen, Mahesh K. Marina
2024 J jnl
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding.
CoRR
Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, N. Siddharth, Shuo Chen, Mahesh K. Marina
2024 J jnl
NetGSR: Towards Efficient and Reliable Network Monitoring with Generative Super Resolution.
PACMNET
Chuanhao Sun, Kai Xu, Gianni Antichi, Mahesh K. Marina
2024 — conf
PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation.
MMM (1)
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
2024 J jnl
PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis.
CoRR
Chuanhao Sun, Thanos Triantafyllou, Anthos Makris, Maja Drmac, Kai Xu, Luo Mai, Mahesh K. Marina
2024 — conf
Shrinking VOD Traffic via Rényi-Entropic Optimal Transport.
SIGMETRICS/Performance (Abstracts)
Chi-Jen Roger Lo, Mahesh K. Marina, Nishanth Sastry, Kai Xu, Saeed Fadaei, Yong Li
2024 J jnl
Shrinking VOD Traffic via Rényi-Entropic Optimal Transport.
Proc. ACM Meas. Anal. Comput. Syst.
Chi-Jen Roger Lo, Mahesh K. Marina, Nishanth Sastry, Kai Xu, Saeed Fadaei, Yong Li
2024 J jnl
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness.
CoRR
Mengyao Du, Miao Zhang, Yuwen Pu, Kai Xu, Shouling Ji, Quanjun Yin
2023 B conf
Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain.
ICPP
Mengyao Du, Miao Zhang, Lin Liu, Kai Xu, Quanjun Yin
2023 J jnl
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation.
CoRR
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
2023 — conf
Dynamic Multi-modal Prompting for Efficient Visual Grounding.
PRCV (7)
Wansen Wu, Ting Liu, Youkai Wang, Kai Xu, Quanjun Yin, Yue Hu
2023 J jnl
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation.
CoRR
Ting Liu, Wansen Wu, Yue Hu, Youkai Wang, Kai Xu, Quanjun Yin
2022 J jnl
AppShot: A Conditional Deep Generative Model for Synthesizing Service-Level Mobile Traffic Snapshots at City Scale.
IEEE Trans. Netw. Serv. Manag.
Chuanhao Sun, Kai Xu, Marco Fiore, Mahesh K. Marina, Yue Wang, Cezary Ziemlicki
2022 A* conf
CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots.
PerCom
Kai Xu, Rajkarn Singh, Hakan Bilen, Marco Fiore, Mahesh K. Marina, Yue Wang
2022 A conf
GenDT: mobile network drive testing made efficient with generative modeling.
CoNEXT
Chuanhao Sun, Kai Xu, Mahesh K. Marina, Howard Benn
2021 B conf
Interpretable Goal Recognition for Path Planning with ART Networks.
IJCNN
Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
2021 A conf
SpectraGAN: spectrum based generation of city scale spatiotemporal mobile network traffic data.
CoNEXT
Kai Xu, Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Hakan Bilen, Muhammad Usama, Howard Benn, Cezary Ziemlicki
2020 J jnl
A Semi-Markov Decision Model With Inverse Reinforcement Learning for Recognizing the Destination of a Maneuvering Agent in Real Time Strategy Games.
IEEE Access
Yunxiu Zeng, Kai Xu, Long Qin, Quanjun Yin
2020 J jnl
Improving the Scalability of the Magnitude-Based Deceptive Path-Planning Using Subgoal Graphs.
Entropy
Kai Xu, Yue Hu, Yunxiu Zeng, Quanjun Yin, Mei Yang
2020 J jnl
Single Real Goal, Magnitude-Based Deceptive Path-Planning.
Entropy
Kai Xu, Yunxiu Zeng, Long Qin, Quanjun Yin
2020 A* conf
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control.
AAAI
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
2019 J jnl
A Decomposition Approach for Stochastic Shortest-Path Network Interdiction with Goal Threshold.
Symmetry
Xiangyu Wei, Kai Xu, Peng Jiao, Quanjun Yin, Yabing Zha
2019 A conf
CoLight: Learning Network-level Cooperation for Traffic Signal Control.
CIKM
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019 J jnl
CoLight: Learning Network-level Cooperation for Traffic Signal Control.
CoRR
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019 J jnl
Diagnosing Reinforcement Learning for Traffic Signal Control.
CoRR
Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash V. Gayah, Kai Xu, Zhenhui Li
2019 J jnl
Goal Identification Control Using an Information Entropy-Based Goal Uncertainty Metric.
Entropy
Kai Xu, Quanjun Yin
2019 A conf
Learning Phase Competition for Traffic Signal Control.
CIKM
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019 J jnl
Learning Phase Competition for Traffic Signal Control.
CoRR
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019 J jnl
Online probabilistic goal recognition and its application in dynamic shortest-path local network interdiction.
Eng. Appl. Artif. Intell.
Kai Xu, Yunxiu Zeng, Qi Zhang, Quanjun Yin, Lin Sun, Kaiming Xiao
2019 A* conf
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.
KDD
Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li
2019 — conf
Targeted Knowledge Transfer for Learning Traffic Signal Plans.
PAKDD (2)
Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li
2018 — conf
Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction.
AAAI Workshops
Yunxiu Zeng, Kai Xu, Quanjun Yin, Long Qin, Yabing Zha, William Yeoh
2017 A* conf
Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction.
IJCAI
Kai Xu, Kaiming Xiao, Quanjun Yin, Yabing Zha, Cheng Zhu
2017 J jnl
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
Lin Sun, Peng Jiao, Kai Xu
2016 — conf
Behavior Model in Large Scale Analytical Simulation System.
ISCID (1)
Lin Sun, Peng Jiao, Kai Xu
2016 — conf
Diversity voting and its application in real-time strategy games multi-objective optimization decision-making behavior modeling.
ICSAI
Peng Jiao, Kai Xu, Lin Sun
2016 — conf
Towards an Integrated Learning Framework for Behavior Modeling of Adaptive CGFs.
ISCID (2)
Qi Zhang, Quanjun Yin, Kai Xu
2015 C conf
Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection.
DS-RT
Kai Xu, Lin Sun, Quanjun Yin
2014 — conf
A Path Planning Algorithm Based on Parallel Particle Swarm Optimization.
ICIC (1)
Weitao Dang, Kai Xu, Quanjun Yin, Qixin Zhang