Further Analyzing the Sybil Attack in Mitigating Peer-to-Peer Botnets. - Tianzuo Wang; Huaimin Wang; Bo Liu 014; Bo Ding 001; Jing Zhang; Peichang Shi (KSII Trans. Internet Inf. Syst., 2012)

Toward QoS-Aware Cloud Robotic Applications: A Hybrid Architecture and Its Implementation. - Yiying Li; Huaimin Wang; Bo Ding 001; Peichang Shi; Xuan Liu 001 (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments. - Mingyang Geng; Xing Zhou 004; Bo Ding 001; Huaimin Wang; Lei Zhang 200 (ICONIP (7), 2018)

How Many Robots are Enough: A Multi-Objective Genetic Algorithm for the Single-Objective Time-Limited Complete Coverage Problem. - Xing Zhou 004; Huaimin Wang; Bo Ding 001 (ICRA, 2018)

General audio tagging with ensembling convolutional neural network and statistical features. - Kele Xu; Boqing Zhu; Qiuqiang Kong; Haibo Mi; Bo Ding 001; Dezhi Wang; Huaimin Wang (CoRR, 2018)

Learning data augmentation policies using augmented random search. - Mingyang Geng; Kele Xu; Bo Ding 001; Huaimin Wang; Lei Zhang 200 (CoRR, 2018)

Parallelized Synchronous Multi-agent Deep Reinforcement Learning with Experience Replay Memory. - Xudong Gong; Bo Ding 001; Jie Xu 007; Huaimin Wang; Xing Zhou 004; Dawei Feng (SOSE, 2019)

Synchronous n-Step Method for Independent Q-Learning in Multi-Agent Deep Reinforcement Learning. - Xudong Gong; Bo Ding 001; Jie Xu 007; Huaimin Wang; Xing Zhou 004; Hongda Jia (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Towards Deep Learning on Resource-Constrained Robots: A Crowdsourcing Approach with Model Partition. - Zhibo Huai; Bo Ding 001; Huaimin Wang; Mingyang Geng; Lei Zhang 200 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Fast Adaptation via Meta Learning in Multi-agent Cooperative Tasks. - Hongda Jia; Bo Ding 001; Huaimin Wang; Xudong Gong; Xing Zhou 004 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Improving Fast Adaptation for Newcomers in Multi-Robot Reinforcement Learning System. - Yiying Li; Wei Zhou; Huaimin Wang; Bo Ding 001; Kele Xu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Solving multi-scenario cardinality constrained optimization problems via multi-objective evolutionary algorithms. - Xing Zhou 004; Huaimin Wang; Wei Peng 005; Bo Ding 001; Rui Wang 017 (Sci. China Inf. Sci., 2019)

Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems. - Mingyang Geng; Kele Xu; Yiying Li; Shuqi Liu; Bo Ding 001; Huaimin Wang (CoRR, 2019)

Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration. - Mingyang Geng; Kele Xu; Xing Zhou 004; Bo Ding 001; Huaimin Wang; Lei Zhang 200 (Entropy, 2019)

Balanced connected task allocations for multi-robot systems: An exact flow-based integer program and an approximate tree-based genetic algorithm. - Xing Zhou 004; Huaimin Wang; Bo Ding 001; Tianjiang Hu; SuNing Shang (Expert Syst. Appl., 2019)

An Energy-Aware Offloading Framework for Edge-Augmented Mobile RFID Systems. - Xuan Liu 001; Quan Yang; Juan Luo; Bo Ding 001; Shigeng Zhang (IEEE Internet Things J., 2019)

Range-Based Localization for Sparse 3-D Sensor Networks. - Xuan Liu 001; Jiangjin Yin; Shigeng Zhang; Bo Ding 001; Song Guo 001; Kun Wang 005 (IEEE Internet Things J., 2019)

Multi-objective evolutionary computation for topology coverage assessment problem. - Xing Zhou 004; Huaimin Wang; Bo Ding 001; Wei Peng 005; Rui Wang 017 (Knowl. Based Syst., 2019)

Improving Policy Generalization for Teacher-Student Reinforcement Learning. - Xudong Gong; Hongda Jia; Xing Zhou 004; Dawei Feng; Bo Ding 001; Jie Xu 007 (KSEM (2), 2020)

Towards Real-time Cooperative Deep Inference over the Cloud and Edge End Devices. - Shigeng Zhang; Yinggang Li; Xuan Liu 001; Song Guo 001; Weiping Wang 003; Jianxin Wang 001; Bo Ding 001; Di Wu 002 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Improving Ultrasound Tongue Contour Extraction Using U-Net and Shape Consistency-Based Regularizer. - Ming Feng; Yin Wang; Kele Xu; Huaimin Wang; Bo Ding 001 (ICASSP, 2021)

Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. - Ning Yang; Qi Lu; Kele Xu; Bo Ding 001; Zijian Gao (IJCNN, 2021)

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding 001; Huaimin Wang; Yiying Li; Hongda Jia (CoRR, 2021)

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding 001; Huaimin Wang; Yiying Li; Hongda Jia (CoRR, 2021)

KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning. - Zijian Gao; Kele Xu; Bo Ding 001; Huaimin Wang (Entropy, 2021)

Accurate Respiration Monitoring for Mobile Users With Commercial RFID Devices. - Shigeng Zhang; Xuan Liu 001; Yangyang Liu; Bo Ding 001; Song Guo 001; Jianxin Wang 001 (IEEE J. Sel. Areas Commun., 2021)

Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication. - Yuanzhao Zhai; Bo Ding 001; Xuan Liu 001; Hongda Jia; Yong Zhao; Jie Luo (IEEE Robotics Autom. Lett., 2021)

Cloudroid Swarm: A QoS-Aware Framework for Multirobot Cooperation Offloading. - Yuanzhao Zhai; Bo Ding 001; Pengfei Zhang; Jie Luo (Wirel. Commun. Mob. Comput., 2021)

Offline Imitation Learning Using Reward-free Exploratory Data. - Hao Wang 117; Dawei Feng; Bo Ding 001; Wei Li (ACAI, 2022)

Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks. - Xinning Chen; Xuan Liu 001; Shigeng Zhang; Bo Ding 001; Kenli Li 001 (IJCAI, 2022)

Masked Modeling-based Audio Representation for ACM Multimedia 2022 Computational Paralinguistics ChallengE. - Kang You; Kele Xu; Boqing Zhu; Ming Feng; Dawei Feng; Bo Liu 014; Tian Gao; Bo Ding 001 (ACM Multimedia, 2022)

Nuclear Norm Maximization Based Curiosity-Driven Learning. - Chao Chen; Zijian Gao; Kele Xu; Sen Yang 003; Yiying Li; Bo Ding 001; Dawei Feng; Huaimin Wang (CoRR, 2022)

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration. - Zijian Gao; Kele Xu; Yiying Li; Yuanzhao Zhai; Dawei Feng; Bo Ding 001; XinJun Mao; Huaimin Wang (CoRR, 2022)

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. - Zijian Gao; Kele Xu; Hengxing Cai; Yuanzhao Zhai; Dawei Feng; Bo Ding 001; XinJun Mao; Huaimin Wang (CoRR, 2022)

CRMRL: Collaborative Relationship Meta Reinforcement Learning for Effectively Adapting to Type Changes in Multi-Robotic System. - Hongda Jia; Yong Zhao; Yuanzhao Zhai; Bo Ding 001; Huaimin Wang; Qingtong Wu (IEEE Robotics Autom. Lett., 2022)

Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks. - Xinning Chen; Xuan Liu 001; Yanwen Ba; Shigeng Zhang; Bo Ding 001; Kenli Li 001 (ECAI, 2023)

Complementary Learning System Based Intrinsic Reward in Reinforcement Learning. - Zijian Gao; Kele Xu; Hongda Jia; Tianjiao Wan; Bo Ding 001; Dawei Feng; Xinjun Mao; Huaimin Wang (ICASSP, 2023)

Progressive Diversifying Policy for Multi-Agent Reinforcement Learning. - Shaoqi Sun; Yuanzhao Zhai; Kele Xu; Dawei Feng; Bo Ding 001 (ICASSP, 2023)

Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization. - Yuanzhao Zhai; Kele Xu; Bo Ding 001; Dawei Feng; Zijian Gao; Huaimin Wang (ICASSP, 2023)

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. - Yuanzhao Zhai; Yiying Li; Zijian Gao; Xudong Gong; Kele Xu; Dawei Feng; Bo Ding 001; Huaimin Wang (AAAI, 2024)

Temporal Inconsistency-Based Active Learning. - Tianjiao Wan; Yutao Dou; Kele Xu; Zijian Gao; Bo Ding 001; Dawei Feng; Huaimin Wang (ICASSP, 2024)

Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting. - Xu Wang 064; Kele Xu; Ting Yu; Bo Ding 001; Dawei Feng (ICASSP, 2024)

Iterative Regularized Policy Optimization with Imperfect Demonstrations. - Xudong Gong; Dawei Feng; Kele Xu; Yuanzhao Zhai; Chengkang Yao; Weijia Wang; Bo Ding 001; Huaimin Wang (ICML, 2024)

M3ixTS: Mixing of Multi-patch and Multi-view For Time Series Forecasting. - Hailong Liu; Lianghao Li; Haibo Mi; Bo Ding 001 (ICONIP (3), 2024)

Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract). - Xinning Chen; Xuan Liu 001; Yanwen Ba; Shigeng Zhang; Bo Ding 001; Kenli Li 001 (IJCAI, 2024)

Tracing Training Progress: Dynamic Influence Based Selection for Active Learning. - Tianjiao Wan; Kele Xu; Long Lan; Zijian Gao; Dawei Feng; Bo Ding 001; Huaimin Wang (ACM Multimedia, 2024)

Goal-Conditioned On-Policy Reinforcement Learning. - Xudong Gong; Dawei Feng; Kele Xu; Bo Ding 001; Huaimin Wang (NeurIPS, 2024)

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles. - Yuanzhao Zhai; Han Zhang 025; Yu Lei; Yue Yu 001; Kele Xu; Dawei Feng; Bo Ding 001; Huaimin Wang (CoRR, 2024)

Online Self-Preferring Language Models. - Yuanzhao Zhai; Zhuo Zhang 007; Kele Xu; Hanyang Peng; Yue Yu 001; Dawei Feng; Cheng Yang 004; Bo Ding 001; Huaimin Wang (CoRR, 2024)

Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. - Zijian Gao; Kele Xu; Huiping Zhuang; Li Liu 036; Xinjun Mao; Bo Ding 001; Dawei Feng; Huaimin Wang (Neural Networks, 2024)

Automated Data Augmentation for Audio Classification. - Yanjie Sun; Kele Xu; Chaorun Liu; Yong Dou; Huaimin Wang; Bo Ding 001; Qinghua Pan (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems. - Hongda Jia; Zijian Gao; Cheng Yang 004; Bo Ding 001; Yuanzhao Zhai; Huaimin Wang (IEEE Robotics Autom. Lett., 2024)

Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning. - Zijian Gao; Yiying Li; Kele Xu; Yuanzhao Zhai; Bo Ding 001; Dawei Feng; Xinjun Mao; Huaimin Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. - Chao Chen; Yuanzhao Zhai; Zijian Gao; Kele Xu; Sen Yang 003; Yiying Li; Bo Ding 001; Dawei Feng; Huaimin Wang (IEEE Trans. Artif. Intell., 2024)

Bidirectional Influence and Interaction for Multiagent Reinforcement Learning. - Shaoqi Sun; Kele Xu; Dawei Feng; Bo Ding 001 (IEEE Trans. Artif. Intell., 2024)

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. - Zijian Gao; Kele Xu; Yuanzhao Zhai; Bo Ding 001; Dawei Feng; Xinjun Mao; Huaimin Wang (IEEE Trans. Artif. Intell., 2024)

Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models. - Yuanzhao Zhai; Tingkai Yang; Kele Xu; Dawei Feng; Cheng Yang 004; Bo Ding 001; Huaimin Wang (AAAI, 2025)

VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems. - Xudong Gong; Dawei Feng; Kele Xu; Weijia Wang; Zhangjun Sun; Xing Zhou 004; Si Zheng; Bo Ding 001; Huaimin Wang (ICLR, 2025)

Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning. - Xudong Gong; Sen Yang 003; Dawei Feng; Kele Xu; Bo Ding 001; Huaimin Wang; Yong Dou (ICML, 2025)

V-Pilot: A Velocity Vector Control Agent for Fixed-Wing UAVs from Imperfect Demonstrations. - Xudong Gong; Dawei Feng; Kele Xu; Xing Zhou 004; Si Zheng; Bo Ding 001; Huaimin Wang (ICRA, 2025)

Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models. - Yuanzhao Zhai; Zhuo Zhang 007; Cheng Yang 004; Kele Xu; Yue Yu 001; Wei Li; Hui Wang 030; Zenglin Xu; Dawei Feng; Bo Ding 001; Huaimin Wang (SIGIR, 2025)

Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training. - Yuanzhao Zhai; Huanxi Liu; Zhuo Zhang 007; Tong Lin; Kele Xu; Cheng Yang 004; Dawei Feng; Bo Ding 001; Huaimin Wang (SIGIR, 2025)

Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection. - Xu Wang 064; Qisheng Xu; Kele Xu; Ting Yu; Bo Ding 001; Dawei Feng; Yong Dou (IEEE Open J. Comput. Soc., 2025)

Dual Temporal Masked Modeling for KPI Anomaly Detection via Similarity Aggregation. - Ting Yu; Zijian Gao; Kele Xu; Xu Wang 064; Peichang Shi; Bo Ding 001; Dawei Feng (IEEE Trans. Netw. Serv. Manag., 2025)

Leaders and Collaborators: Addressing Sparse Reward Challenges in Multi-Agent Reinforcement Learning. - Shaoqi Sun; Hui Liu 052; Kele Xu; Bo Ding 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Memory replay with unlabeled data for semi-supervised class-incremental learning via temporal consistency. - Qiang Wang; Kele Xu; Dawei Feng; Bo Ding 001; Huaimin Wang (Frontiers Comput. Sci., 2025)