Bo Ding

According to our database, Bo Ding authored at least 119 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Non-Intrusive Multi-Objective Task Scheduling Method for JointCloud Environment.

Lianghao Li, Haibo Mi, Bo Ding, Huaimin Wang

IEEE Trans. Parallel Distributed Syst., July, 2026

Rethinking Obscured Sub-Optimality in Analytic Learning for Exemplar-Free Class-Incremental Learning.

Zijian Gao, Kele Xu, Xingxing Zhang, Huiping Zhuang, Tianjiao Wan, Bo Ding, Xinjun Mao, Huaimin Wang

IEEE Trans. Circuits Syst. Video Technol., April, 2026

MAny: Merge Anything for Multimodal Continual Instruction Tuning.

Zijian Gao, Wangwang Jia, Xingxing Zhang, Pengfei Qian, Tao Sun, Bo Ding, Yong Dou, Huaimin Wang, Kele Xu

CoRR, April, 2026

Beyond Scores: Diagnostic LLM Evaluation via Fine-Grained Abilities.

Xu Zhang, Xudong Gong, Jiacheng Qin, Qiang Wang, JiaQi Liao, Zhe Wang, Dawei Feng, Bo Ding

CoRR, April, 2026

Ranking Constraints via Topological Dual-Directional Search in Evolutionary Multi-Objective Optimization.

Ruiqing Sun, Dawei Feng, Sheng Qi, Xing Zhou, Lianghao Li, Bo Ding, Yijie Wang, Rui Wang, Huaimin Wang

CoRR, April, 2026

Dynamic Confidence Variance for Generalized Coreset in Active Learning.

Tianjiao Wan, Zijian Gao, Xudong Gong, Dawei Feng, Xingxing Zhang, Bo Ding, Yijie Wang, Huaimin Wang, Kele Xu

IEEE Trans. Circuits Syst. Video Technol., March, 2026

DockerFill: Automatically Completing Dockerfile Code With Syntax-Aware Multi-Task Learning.

Yiwen Wu, Yang Zhang, Tao Wang, Bo Ding, Huaimin Wang

IEEE Trans. Software Eng., January, 2026

Let the Blocks Fly (Flying Blocks): A Highly Efficient and Practical Consensus Protocol for Authoritative Blockchains.

Xiang Fu, Liaoliao Feng, Huaimin Wang, Bo Ding, Jun Fu

IEEE Trans. Dependable Secur. Comput., 2026

Pay more attention to the robustness of LLMs on adversarial prompt for instruction data mining.

Qiang Wang, Dawei Feng, Xu Zhang, Ao Shen, Yang Xu, Bo Ding, Huaimin Wang

Neural Networks, 2026

Uncertainty-penalized reinforcement learning from human feedback with diversified reward LoRA ensembles.

Yuanzhao Zhai, Yu Lei, Han Zhang, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Inf. Process. Manag., 2026

Model compression-driven instruction data mining framework with integrated adversarial attack strategies.

Qiang Wang, Ao Shen, Yifan Zeng, Dawei Feng, Xu Zhang, Bo Ding, Huaimin Wang

Expert Syst. Appl., 2026

Divergence or Convergence? A Deep Insight into the Crowd Collaboration and its Productivity in Open Source Software based on Entropy.

Yang Shen, Tao Wang, Xunhui Zhang, Yang Zhang, Cheng Yang, Bo Ding, Huaimin Wang

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Memory replay with unlabeled data for semi-supervised class-incremental learning via temporal consistency.

Qiang Wang, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Frontiers Comput. Sci., December, 2025

Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization.

Ruiqing Sun, Dawei Feng, Xing Zhou, Lianghao Li, Sheng Qi, Bo Ding, Yijie Wang, Rui Wang, Huaimin Wang

CoRR, December, 2025

Leaders and Collaborators: Addressing Sparse Reward Challenges in Multi-Agent Reinforcement Learning.

Shaoqi Sun, Hui Liu, Kele Xu, Bo Ding

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Pay More Attention to the Robustness of Prompt for Instruction Data Mining.

Qiang Wang, Dawei Feng, Xu Zhang, Ao Shen, Yang Xu, Bo Ding, Huaimin Wang

CoRR, March, 2025

Dual Temporal Masked Modeling for KPI Anomaly Detection via Similarity Aggregation.

Ting Yu, Zijian Gao, Kele Xu, Xu Wang, Peichang Shi, Bo Ding, Dawei Feng

IEEE Trans. Netw. Serv. Manag., February, 2025

Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection.

Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

IEEE Open J. Comput. Soc., 2025

Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training.

Yuanzhao Zhai, Huanxi Liu, Zhuo Zhang, Tong Lin, Kele Xu, Cheng Yang, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models.

Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Max-Informative Unlabeled Sample Replay for Semi-Supervised Class-Incremental Learning in Audio Classification.

Qiang Wang, Ao Shen, Dawei Feng, Xu Zhang, Bo Ding, Huaimin Wang

Proceedings of the 2025 IEEE International Conference on Joint Cloud Computing (JCC), 2025

A Review of Multi-Objective Optimization for Cloud Environment Storage Optimization.

Lianghao Li, Haibo Mi, Kun Wang, Bo Ding, Huaimin Wang

Proceedings of the 2025 IEEE International Conference on Joint Cloud Computing (JCC), 2025

V-Pilot: A Velocity Vector Control Agent for Fixed-Wing UAVs from Imperfect Demonstrations.

Xudong Gong, Dawei Feng, Kele Xu, Xing Zhou, Si Zheng, Bo Ding, Huaimin Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

GRACE: Graph-Adapted Case-Augmented Execution for Tool Use in Large Language Models.

Tong Lin, Yuanzhao Zhai, Dawei Feng, Bo Ding

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning.

Xudong Gong, Sen Yang, Dawei Feng, Kele Xu, Bo Ding, Huaimin Wang, Yong Dou

Proceedings of the Forty-second International Conference on Machine Learning, 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, Si Zheng, Bo Ding, Huaimin Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models.

Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning.

Zijian Gao, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

IEEE Trans. Artif. Intell., November, 2024

Bidirectional Influence and Interaction for Multiagent Reinforcement Learning.

Shaoqi Sun, Kele Xu, Dawei Feng, Bo Ding

IEEE Trans. Artif. Intell., October, 2024

Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning.

Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

IEEE Trans. Artif. Intell., May, 2024

Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning.

Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems.

Hongda Jia, Zijian Gao, Cheng Yang, Bo Ding, Yuanzhao Zhai, Huaimin Wang

IEEE Robotics Autom. Lett., January, 2024

Automated Data Augmentation for Audio Classification.

Yanjie Sun, Kele Xu, Chaorun Liu, Yong Dou, Huaimin Wang, Bo Ding, Qinghua Pan

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning.

Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang

Neural Networks, 2024

Subtraction of Hyperledger Fabric: A blockchain-based lightweight storage mechanism for digital evidences.

Xiang Fu, Haoliang Ma, Bo Ding, Huaimin Wang, Peichang Shi

J. Syst. Archit., 2024

Online Self-Preferring Language Models.

Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang

CoRR, 2024

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles.

Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

CoRR, 2024

Goal-Conditioned On-Policy Reinforcement Learning.

Xudong Gong, Dawei Feng, Kele Xu, Bo Ding, Huaimin Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Tracing Training Progress: Dynamic Influence Based Selection for Active Learning.

Tianjiao Wan, Kele Xu, Long Lan, Zijian Gao, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract).

Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

M³ixTS: Mixing of Multi-patch and Multi-view For Time Series Forecasting.

Hailong Liu, Lianghao Li, Haibo Mi, Bo Ding

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Iterative Regularized Policy Optimization with Imperfect Demonstrations.

Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting.

Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng

Proceedings of the IEEE International Conference on Acoustics, 2024

Temporal Inconsistency-Based Active Learning.

Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization.

Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bi-level Multi-Agent Actor-Critic Methods with ransformers.

Tianjiao Wan, Haibo Mi, Zijian Gao, Yuanzhao Zhai, Bo Ding, Dawei Feng

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2023

Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization.

Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Diversifying Policy for Multi-Agent Reinforcement Learning.

Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding

Proceedings of the IEEE International Conference on Acoustics, 2023

Complementary Learning System Based Intrinsic Reward in Reinforcement Learning.

Zijian Gao, Kele Xu, Hongda Jia, Tianjiao Wan, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks.

Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

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, Huaimin Wang, Qingtong Wu

IEEE Robotics Autom. Lett., 2022

A Fast and Robust Solution for Common Knowledge Formation in Decentralized Swarm Robots.

Jie Luo, Xiao Shu, Yuanzhao Zhai, Xiang Fu, Bo Ding, Jie Xu

J. Intell. Robotic Syst., 2022

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning.

Zijian Gao, Kele Xu, Hengxing Cai, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, 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, XinJun Mao, Huaimin Wang

CoRR, 2022

Nuclear Norm Maximization Based Curiosity-Driven Learning.

Chao Chen, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

CoRR, 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, Tian Gao, Bo Ding

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improving scalability of multi-agent reinforcement learning with parameters sharing.

Ning Yang, Bo Ding, Peichang Shi, Dawei Feng

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2022

Uncertainty Estimation based Intrinsic Reward For Efficient Reinforcement Learning.

Chao Chen, Tianjiao Wan, Peichang Shi, Bo Ding, Zijian Gao, Dawei Feng

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2022

Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks.

Xinning Chen, Xuan Liu, Shigeng Zhang, Bo Ding, Kenli Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Exploring Policy Diversity in Parallel Actor-Critic Learning.

Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Pseudo Reward and Action Importance Classification for Sparse Reward Problem.

Qingtong Wu, Dawei Feng, Yuanzhao Zhai, Bo Ding, Jie Luo

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Offline Imitation Learning Using Reward-free Exploratory Data.

Hao Wang, Dawei Feng, Bo Ding, Wei Li

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Cloudroid Swarm: A QoS-Aware Framework for Multirobot Cooperation Offloading.

Yuanzhao Zhai, Bo Ding, Pengfei Zhang, Jie Luo

Wirel. Commun. Mob. Comput., 2021

Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication.

Yuanzhao Zhai, Bo Ding, Xuan Liu, Hongda Jia, Yong Zhao, Jie Luo

IEEE Robotics Autom. Lett., 2021

Accurate Respiration Monitoring for Mobile Users With Commercial RFID Devices.

Shigeng Zhang, Xuan Liu, Yangyang Liu, Bo Ding, Song Guo, Jianxin Wang

IEEE J. Sel. Areas Commun., 2021

KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning.

Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang

Entropy, 2021

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning.

Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

CoRR, 2021

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning.

Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

CoRR, 2021

Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms.

Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao

Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Ultrasound Tongue Contour Extraction Using U-Net and Shape Consistency-Based Regularizer.

Ming Feng, Yin Wang, Kele Xu, Huaimin Wang, Bo Ding

Proceedings of the IEEE International Conference on Acoustics, 2021

Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision.

Yong Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

A Hashgraph-Based Knowledge Sharing Approach for Mobile Robot Swarm.

Xiao Shu, Bo Ding, Jie Luo, Xiang Fu, Min Xie, Zhen Li

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

2020

Towards Real-time Cooperative Deep Inference over the Cloud and Edge End Devices.

Shigeng Zhang, Yinggang Li, Xuan Liu, Song Guo, Weiping Wang, Jianxin Wang, Bo Ding, Di Wu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Unsupervised Learning-Based Depth Estimation-Aided Visual SLAM Approach.

Mingyang Geng, SuNing Shang, Bo Ding, Huaimin Wang, Pengfei Zhang

Circuits Syst. Signal Process., 2020

Improving Policy Generalization for Teacher-Student Reinforcement Learning.

Xudong Gong, Hongda Jia, Xing Zhou, Dawei Feng, Bo Ding, Jie Xu

Proceedings of the Knowledge Science, Engineering and Management, 2020

Cooperative Offloading for Multiple Robot Applications.

Yuanzhao Zhai, Bo Ding, Pengfei Zhang, Jie Luo, Qingtong Wu, Peichang Shi, Huaimin Wang

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2020

Using Configuration Semantic Features and Machine Learning Algorithms to Predict Build Result in Cloud-Based Container Environment.

Yiwen Wu, Yang Zhang, Junsheng Chang, Bo Ding, Tao Wang, Huaimin Wang

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019

Multi-objective evolutionary computation for topology coverage assessment problem.

Xing Zhou, Huaimin Wang, Bo Ding, Wei Peng, Rui Wang

Knowl. Based Syst., 2019

Range-Based Localization for Sparse 3-D Sensor Networks.

Xuan Liu, Jiangjin Yin, Shigeng Zhang, Bo Ding, Song Guo, Kun Wang

IEEE Internet Things J., 2019

An Energy-Aware Offloading Framework for Edge-Augmented Mobile RFID Systems.

Xuan Liu, Quan Yang, Juan Luo, Bo Ding, Shigeng Zhang

IEEE Internet Things J., 2019

Balanced connected task allocations for multi-robot systems: An exact flow-based integer program and an approximate tree-based genetic algorithm.

Xing Zhou, Huaimin Wang, Bo Ding, Tianjiang Hu, SuNing Shang

Expert Syst. Appl., 2019

Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration.

Mingyang Geng, Kele Xu, Xing Zhou, Bo Ding, Huaimin Wang, Lei Zhang

Entropy, 2019

Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems.

Mingyang Geng, Kele Xu, Yiying Li, Shuqi Liu, Bo Ding, Huaimin Wang

CoRR, 2019

Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach.

Mingyang Geng, SuNing Shang, Bo Ding, Huaimin Wang, Pengfei Zhang, Lei Zhang

CoRR, 2019

Solving multi-scenario cardinality constrained optimization problems via multi-objective evolutionary algorithms.

Xing Zhou, Huaimin Wang, Wei Peng, Bo Ding, Rui Wang

Sci. China Inf. Sci., 2019

Improving Fast Adaptation for Newcomers in Multi-Robot Reinforcement Learning System.

Yiying Li, Wei Zhou, Huaimin Wang, Bo Ding, Kele Xu

Proceedings of the 2019 IEEE SmartWorld, 2019

Fast Adaptation via Meta Learning in Multi-agent Cooperative Tasks.

Hongda Jia, Bo Ding, Huaimin Wang, Xudong Gong, Xing Zhou

Proceedings of the 2019 IEEE SmartWorld, 2019

Towards Deep Learning on Resource-Constrained Robots: A Crowdsourcing Approach with Model Partition.

Zhibo Huai, Bo Ding, Huaimin Wang, Mingyang Geng, Lei Zhang

Proceedings of the 2019 IEEE SmartWorld, 2019

Synchronous n-Step Method for Independent Q-Learning in Multi-Agent Deep Reinforcement Learning.

Xudong Gong, Bo Ding, Jie Xu, Huaimin Wang, Xing Zhou, Hongda Jia

Proceedings of the 2019 IEEE SmartWorld, 2019

Parallelized Synchronous Multi-agent Deep Reinforcement Learning with Experience Replay Memory.

Xudong Gong, Bo Ding, Jie Xu, Huaimin Wang, Xing Zhou, Dawei Feng

Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Invited Paper: Distributed Computing in Cyber-Physical Intelligence: Robotic Perception as an Example.

Bo Ding, Jie Xu, Huaimin Wang, Huaxi (Yulin) Zhang, Hui Liu, Dawei Feng

Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Filtering Inconsistent Failure in Robot Collective Decision with Blockchain.

Jie Luo, Bo Ding, Jie Xu

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018

Learning data augmentation policies using augmented random search.

Mingyang Geng, Kele Xu, Bo Ding, Huaimin Wang, Lei Zhang

CoRR, 2018

General audio tagging with ensembling convolutional neural network and statistical features.

Kele Xu, Boqing Zhu, Qiuqiang Kong, Haibo Mi, Bo Ding, Dezhi Wang, Huaimin Wang

CoRR, 2018

RoboCloud: augmenting robotic visions for open environment modeling using Internet knowledge.

Yiying Li, Huaimin Wang, Bo Ding, Wei Zhou

Sci. China Inf. Sci., 2018

Unsupervised Learning of Depth and Pose Estimation based on Continuous Frame Window.

SuNing Shang, Huaimin Wang, Pengfei Zhang, Bo Ding

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cloud-Based Framework for Scalable and Real-Time Multi-Robot SLAM.

Pengfei Zhang, Huaimin Wang, Bo Ding, SuNing Shang

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

How Many Robots are Enough: A Multi-Objective Genetic Algorithm for the Single-Objective Time-Limited Complete Coverage Problem.

Xing Zhou, Huaimin Wang, Bo Ding

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments.

Mingyang Geng, Xing Zhou, Bo Ding, Huaimin Wang, Lei Zhang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Cloud Robotics: A Distributed Computing View.

Huaimin Wang, Bo Ding, Jie Xu

Proceedings of the Symposium on Real-Time and Hybrid Systems, 2018

2017

S³R: storage-sensitive services redeployment in the cloud.

Huining Yan, Yiming Zhang, Huaimin Wang, Bo Ding, Haibo Mi

Int. J. Big Data Intell., 2017

Using collaborative sharing on cloud for fast relocalization in keyframe-based SLAM.

Pengfei Zhang, Huaimin Wang, Bo Ding

Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017

Learning from Internet: Handling Uncertainty in Robotic Environment Modeling.

Yiying Li, Huaimin Wang, Bo Ding, Huimin Che

Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

Enabling Imagination: Generative Adversarial Network-Based Object Finding in Robotic Tasks.

Huimin Che, Ben Hu, Bo Ding, Huaimin Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Cloud-Based Knowledge Sharing in Cooperative Robot Tracking of Multiple Targets with Deep Neural Network.

Hui Bao, Huaimin Wang, Bo Ding, SuNing Shang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Cloudroid: A Cloud Framework for Transparent and QoS-Aware Robotic Computation Outsourcing.

Ben Hu, Huaimin Wang, Pengfei Zhang, Bo Ding, Huimin Che

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

一种基于非参数回归的交通速度预测方法 (Traffic Speed Forecasting Method Based on Nonparametric Regression).

Dianxi Shi, Taojie Ding, Bo Ding, Hui Liu

计算机科学, 2016

Toward QoS-Aware Cloud Robotic Applications: A Hybrid Architecture and Its Implementation.

Yiying Li, Huaimin Wang, Bo Ding, Peichang Shi, Xuan Liu

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Towards migrating resource-consuming robotic software packages to cloud.

Shangmin Wen, Bo Ding, Huaimin Wang, Ben Hu, Hui Liu, Peichang Shi

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016

2015

Auxo: an architecture-centric framework supporting the online tuning of software adaptivity.

Huaimin Wang, Bo Ding, Dian-xi Shi, Jiannong Cao, Alvin T. S. Chan

Sci. China Inf. Sci., 2015

Storage-Aware Server Consolidation for Cloud Services Utilizing Local Storage.

Huining Yan, Huaimin Wang, Bo Ding, Haibo Mi, Dianxi Shi

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2014

Unsupervised Feature Learning for Human Activity Recognition Using Smartphone Sensors.

Yongmou Li, Dian-xi Shi, Bo Ding, Dongbo Liu

Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

2012

Further Analyzing the Sybil Attack in Mitigating Peer-to-Peer Botnets.

Tianzuo Wang, Huaimin Wang, Bo Liu, Bo Ding, Jing Zhang, Peichang Shi

KSII Trans. Internet Inf. Syst., 2012

Research of Context Situation Awareness Technology.

Dianxi Shi, Zhendong Wu, Bo Ding, Huining Yan

Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012

2010

Taming software adaptability with architecture-centric framework.

Bo Ding, Huaimin Wang, Dian-xi Shi, Jiannong Cao

Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

2009

Policy Based Self-Adaptive Scheme in Pervasive Computing.

Jian-quan Ouyang, Dian-xi Shi, Bo Ding, Jin Feng, Huaimin Wang

Wirel. Sens. Netw., 2009

Towards Unanticipated Adaptation: An Architecture-Based Approach.

Bo Ding, Huaimin Wang, Dian-xi Shi, Xiang Rao

Proceedings of the Seventh ACIS International Conference on Software Engineering Research, 2009

A Framework for Error-Tolerant Scheme in Pervasive Computing.

Jian-quan Ouyang, Dian-xi Shi, Bo Ding, Xiao Li, Huaimin Wang

Proceedings of the 2009 International Conference on Education Technology and Computer, 2009

2008

Component Based Context Model.

Jian-quan Ouyang, Bo Ding, Huaimin Wang, Dian-xi Shi

Proceedings of the Ninth International Conference on Web-Age Information Management, 2008