A Path Planning Algorithm Based on Parallel Particle Swarm Optimization. - Weitao Dang; Kai Xu 014; Quanjun Yin; Qixin Zhang (ICIC (1), 2014)

Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection. - Kai Xu 014; Lin Sun 008; Quanjun Yin (DS-RT, 2015)

Diversity voting and its application in real-time strategy games multi-objective optimization decision-making behavior modeling. - Peng Jiao; Kai Xu 014; Lin Sun 008 (ICSAI, 2016)

Behavior Model in Large Scale Analytical Simulation System. - Lin Sun 008; Peng Jiao; Kai Xu 014 (ISCID (1), 2016)

Towards an Integrated Learning Framework for Behavior Modeling of Adaptive CGFs. - Qi Zhang 017; Quanjun Yin; Kai Xu 014 (ISCID (2), 2016)

Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction. - Kai Xu 014; Kaiming Xiao; Quanjun Yin; Yabing Zha; Cheng Zhu 002 (IJCAI, 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). - Lin Sun 008; Peng Jiao; Kai Xu 014 (计算机科学, 2017)

Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction. - Yunxiu Zeng; Kai Xu 014; Quanjun Yin; Long Qin; Yabing Zha; William Yeoh 001 (AAAI Workshops, 2018)

CoLight: Learning Network-level Cooperation for Traffic Signal Control. - Hua Wei 001; Nan Xu; Huichu Zhang; Guanjie Zheng; Xinshi Zang; Chacha Chen; Weinan Zhang 001; Yanmin Zhu 006; Kai Xu 014; Zhenhui Li (CIKM, 2019)

Learning Phase Competition for Traffic Signal Control. - Guanjie Zheng; Yuanhao Xiong; Xinshi Zang; Jie Feng 002; Hua Wei 001; Huichu Zhang; Yong Li 008; Kai Xu 014; Zhenhui Li (CIKM, 2019)

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. - Hua Wei 001; Chacha Chen; Guanjie Zheng; Kan Wu; Vikash V. Gayah; Kai Xu 014; Zhenhui Li (KDD, 2019)

Targeted Knowledge Transfer for Learning Traffic Signal Plans. - Nan Xu; Guanjie Zheng; Kai Xu 014; Yanmin Zhu 006; Zhenhui Li (PAKDD (2), 2019)

Diagnosing Reinforcement Learning for Traffic Signal Control. - Guanjie Zheng; Xinshi Zang; Nan Xu; Hua Wei 001; Zhengyao Yu; Vikash V. Gayah; Kai Xu 014; Zhenhui Li (CoRR, 2019)

Online probabilistic goal recognition and its application in dynamic shortest-path local network interdiction. - Kai Xu 014; Yunxiu Zeng; Qi Zhang 017; Quanjun Yin; Lin Sun 008; Kaiming Xiao (Eng. Appl. Artif. Intell., 2019)

Goal Identification Control Using an Information Entropy-Based Goal Uncertainty Metric. - Kai Xu 014; Quanjun Yin (Entropy, 2019)

A Decomposition Approach for Stochastic Shortest-Path Network Interdiction with Goal Threshold. - Xiangyu Wei; Kai Xu 014; Peng Jiao; Quanjun Yin; Yabing Zha (Symmetry, 2019)

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. - Chacha Chen; Hua Wei 001; Nan Xu; Guanjie Zheng; Ming Yang; Yuanhao Xiong; Kai Xu 014; Zhenhui Li (AAAI, 2020)

A Semi-Markov Decision Model With Inverse Reinforcement Learning for Recognizing the Destination of a Maneuvering Agent in Real Time Strategy Games. - Yunxiu Zeng; Kai Xu 014; Long Qin; Quanjun Yin (IEEE Access, 2020)

Improving the Scalability of the Magnitude-Based Deceptive Path-Planning Using Subgoal Graphs. - Kai Xu 014; Yue Hu; Yunxiu Zeng; Quanjun Yin; Mei Yang (Entropy, 2020)

Single Real Goal, Magnitude-Based Deceptive Path-Planning. - Kai Xu 014; Yunxiu Zeng; Long Qin; Quanjun Yin (Entropy, 2020)

SpectraGAN: spectrum based generation of city scale spatiotemporal mobile network traffic data. - Kai Xu 014; Rajkarn Singh; Marco Fiore 001; Mahesh K. Marina; Hakan Bilen; Muhammad Usama; Howard Benn; Cezary Ziemlicki (CoNEXT, 2021)

Interpretable Goal Recognition for Path Planning with ART Networks. - Yue Hu; Kai Xu 014; Budhitama Subagdja; Ah-Hwee Tan; Quanjun Yin (IJCNN, 2021)

GenDT: mobile network drive testing made efficient with generative modeling. - Chuanhao Sun; Kai Xu 014; Mahesh K. Marina; Howard Benn (CoNEXT, 2022)

CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots. - Kai Xu 014; Rajkarn Singh; Hakan Bilen; Marco Fiore 001; Mahesh K. Marina; Yue Wang 008 (PerCom, 2022)

AppShot: A Conditional Deep Generative Model for Synthesizing Service-Level Mobile Traffic Snapshots at City Scale. - Chuanhao Sun; Kai Xu 014; Marco Fiore 001; Mahesh K. Marina; Yue Wang 008; Cezary Ziemlicki (IEEE Trans. Netw. Serv. Manag., 2022)

Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain. - Mengyao Du; Miao Zhang; Lin Liu 018; Kai Xu 014; Quanjun Yin (ICPP, 2023)

Dynamic Multi-modal Prompting for Efficient Visual Grounding. - Wansen Wu; Ting Liu; Youkai Wang; Kai Xu 014; Quanjun Yin; Yue Hu (PRCV (7), 2023)

Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation. - Ting Liu; Wansen Wu; Yue Hu; Youkai Wang; Kai Xu 014; Quanjun Yin (CoRR, 2023)

DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation. - Ting Liu; Yue Hu; Wansen Wu; Youkai Wang; Kai Xu 014; Quanjun Yin (ICASSP, 2024)

Enhancing Multimodal Sentiment Analysis via Learning from Large Language Model. - Ning Pang; Wansen Wu; Yue Hu; Kai Xu 014; Quanjun Yin; Long Qin (ICME, 2024)

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding. - Chuanhao Sun; Zhihang Yuan; Kai Xu 014; Luo Mai; N. Siddharth 001; Shuo Chen; Mahesh K. Marina (ICML, 2024)

A Prototype Design of LLM-Based Autonomous Web Crowdsensing. - Zhengqiu Zhu; Yatai Ji; Sihang Qiu; Yong Zhao; Kai Xu 014; Rusheng Ju; Bin Chen 003 (ICWE, 2024)

PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation. - Ting Liu; Yue Hu; Wansen Wu; Youkai Wang; Kai Xu 014; Quanjun Yin (MMM (1), 2024)

The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness. - Mengyao Du; Miao Zhang; Yuwen Pu; Kai Xu 014; Shouling Ji; Quanjun Yin (CoRR, 2024)

Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach. - Zhengqiu Zhu; Yong Zhao; Bin Chen 003; Sihang Qiu; Kai Xu 014; Quanjun Yin; Jincai Huang 001; Zhong Liu 002; Fei-Yue Wang 001 (CoRR, 2024)

PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis. - Chuanhao Sun; Thanos Triantafyllou; Anthos Makris; Maja Drmac; Kai Xu 014; Luo Mai; Mahesh K. Marina (CoRR, 2024)

NetGSR: Towards Efficient and Reliable Network Monitoring with Generative Super Resolution. - Chuanhao Sun; Kai Xu 014; Gianni Antichi; Mahesh K. Marina (PACMNET, 2024)

Shrinking VOD Traffic via Rényi-Entropic Optimal Transport. - Chi-Jen Roger Lo; Mahesh K. Marina; Nishanth Sastry; Kai Xu 014; Saeed Fadaei; Yong Li 008 (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Conversational Crowdsensing in the Age of Industry 5.0: A Parallel Intelligence and Large Models Powered Novel Sensing Approach. - Zhengqiu Zhu; Yong Zhao; Sihang Qiu; Kai Xu 014; Quanjun Yin; Jincai Huang 001; Zhong Liu 002; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space. - Yong Zhao; Kai Xu 014; Zhengqiu Zhu; Yue Hu; Zhiheng Zheng; Yingfeng Chen; Yatai Ji; Chen Gao 001; Yong Li 008; Jincai Huang 001 (CoRR, 2025)

Goal-oriented multi-robot collaborative source search with dynamic exploration-exploitation balance in large-scale constrained areas. - Mengyu Yan; Zhengqiu Zhu; Yong Zhao; Bin Chen 003; Yatai Ji; Kai Xu 014; Shuohao Li (Inf. Fusion, 2026)