| 2026 | ACL | EvoNarrator: Modeling Scientific Evolution for Feasible Hypothesis Generation. | Xiaoying Le, Pengfei Qian, Yuanzhao Zhai, Xu Zhang, Qian Liu, Dawei Feng, Bo Ding |
| 2026 | CHI | 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 |
| 2026 | ICPR | Diagnosing LLM Benchmark: A Psychometric Analysis of Difficulty and Discrimination. | Jiacheng Qin, Xu Zhang, Dawei Feng, Bo Ding, Yuanzhao Zhai |
| 2025 | AAAI | 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 |
| 2025 | DAC | SuperCopyback: Revisiting Copyback on Modern High-Performance NAND Flash-based SSDs. | Dong Huang, Bo Ding, Wei Tong, Dan Feng |
| 2025 | DATE | MPFS: A Scalable User-Space Persistent Memory File System for Multiple Processes. | Bo Ding, Wei Tong, Yu Hua, Yuchong Hu, Dong Huang, Qiankun Liu, Zhangyu Chen, Xueliang Wei, Dan Feng |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICPADS | GRACE: Graph-Adapted Case-Augmented Execution for Tool Use in Large Language Models. | Tong Lin, Yuanzhao Zhai, Dawei Feng, Bo Ding |
| 2025 | ICRA | 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 |
| 2025 | SIGIR | 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 |
| 2025 | SIGIR | 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 |
| 2024 | AAAI | Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. | Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang |
| 2024 | DATE | A Read Latency Variation Aware Independent Read Scheme for QLC SSDs. | Dong Huang, Dan Feng, Qiankun Liu, Bo Ding, Wei Zhao, Xueliang Wei, Wei Tong |
| 2024 | DICTA | Multi-Branch Instance Segmentation of Cervical Cells. | Yiran Shi, Xiaona Yang, Xuefeng Zhou, Jun Zhou, Bo Ding |
| 2024 | ICASSP | Temporal Inconsistency-Based Active Learning. | Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang |
| 2024 | ICASSP | Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting. | Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng |
| 2024 | ICML | Iterative Regularized Policy Optimization with Imperfect Demonstrations. | Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang |
| 2024 | ICONIP | M | Hailong Liu, Lianghao Li, Haibo Mi, Bo Ding |
| 2024 | IJCAI | 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 |
| 2023 | ECAI | Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks. | Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li |
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | Progressive Diversifying Policy for Multi-Agent Reinforcement Learning. | Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding |
| 2023 | ICASSP | 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 |
| 2023 | ICONIP | Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning. | Yanqiang Zhang, Dawei Feng, Bo Ding |
| 2022 | ICCD | RMMIO: Enabling Reliable Memory-Mapped I/O for Persistent Memory Systems. | Bo Ding, Wei Tong, Yu Hua, Zhangyu Chen, Xueliang Wei, Dan Feng |
| 2022 | IJCAI | Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks. | Xinning Chen, Xuan Liu, Shigeng Zhang, Bo Ding, Kenli Li |
| 2022 | ICTAI | Exploring Policy Diversity in Parallel Actor-Critic Learning. | Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu |
| 2021 | HPCC | Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision. | Yong Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li |
| 2021 | ICASSP | Improving Ultrasound Tongue Contour Extraction Using U-Net and Shape Consistency-Based Regularizer. | Ming Feng, Yin Wang, Kele Xu, Huaimin Wang, Bo Ding |
| 2021 | IJCNN | Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. | Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao |
| 2021 | ICTAI | EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series. | Dehong Ma, Bo Ding, Dawei Feng, Hui Liu |
| 2020 | HPCC | Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning. | Dongzi Wang, Mingyang Geng, Bo Ding, Dawei Feng |
| 2020 | ICPADS | 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 |
| 2020 | KSEM | Improving Policy Generalization for Teacher-Student Reinforcement Learning. | Xudong Gong, Hongda Jia, Xing Zhou, Dawei Feng, Bo Ding, Jie Xu |
| 2020 | USENIX | Lock-free Concurrent Level Hashing for Persistent Memory. | Zhangyu Chen, Yu Hua, Bo Ding, Pengfei Zuo |
| 2019 | ANT | IoT-based predictive maintenance for fleet management. | Patrick Killeen, Bo Ding, Iluju Kiringa, Tet Hin Yeap |
| 2019 | UIC | 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 |
| 2019 | UIC | Towards Deep Learning on Resource-Constrained Robots: A Crowdsourcing Approach with Model Partition. | Zhibo Huai, Bo Ding, Huaimin Wang, Mingyang Geng, Lei Zhang |
| 2019 | UIC | Fast Adaptation via Meta Learning in Multi-agent Cooperative Tasks. | Hongda Jia, Bo Ding, Huaimin Wang, Xudong Gong, Xing Zhou |
| 2019 | UIC | Improving Fast Adaptation for Newcomers in Multi-Robot Reinforcement Learning System. | Yiying Li, Wei Zhou, Huaimin Wang, Bo Ding, Kele Xu |
| 2018 | ICONIP | Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments. | Mingyang Geng, Xing Zhou, Bo Ding, Huaimin Wang, Lei Zhang |
| 2018 | IJCNN | Deep Learning-based Cooperative Trail Following for Multi-Robot System. | Mingyang Geng, Yiying Li, Bo Ding, Huaimin Wang |
| 2018 | IJCNN | Unsupervised Learning of Depth and Pose Estimation based on Continuous Frame Window. | SuNing Shang, Huaimin Wang, Pengfei Zhang, Bo Ding |
| 2018 | ICRA | 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 |
| 2018 | ICWS | Cloud-Based Framework for Scalable and Real-Time Multi-Robot SLAM. | Pengfei Zhang, Huaimin Wang, Bo Ding, SuNing Shang |
| 2018 | WCNC | A cascade forest approach to application classification of mobile traces. | Yang Liu, Shuzhuang Zhang, Bo Ding, Xiaoqing Li, Yipeng Wang |
| 2018 | UIC | Real-Time Data Processing Architecture for Multi-Robots Based on Differential Federated Learning. | Wei Zhou, Yiying Li, Shuhui Chen, Bo Ding |
| 2017 | ICONIP | Cloud-Based Knowledge Sharing in Cooperative Robot Tracking of Multiple Targets with Deep Neural Network. | Hui Bao, Huaimin Wang, Bo Ding, SuNing Shang |
| 2017 | ICONIP | Enabling Imagination: Generative Adversarial Network-Based Object Finding in Robotic Tasks. | Huimin Che, Ben Hu, Bo Ding, Huaimin Wang |
| 2016 | UIC | Toward QoS-Aware Cloud Robotic Applications: A Hybrid Architecture and Its Implementation. | Yiying Li, Huaimin Wang, Bo Ding, Peichang Shi, Xuan Liu |
| 2014 | SMC | An EMG-based force prediction and control approach for robot-assisted lower limb rehabilitation. | Wei Meng, Bo Ding, Zude Zhou, Quan Liu, Qingsong Ai |
| 2012 | ISORC | Research of Context Situation Awareness Technology. | Dianxi Shi, Zhendong Wu, Bo Ding, Huining Yan |
| 2010 | PERCOM | Taming software adaptability with architecture-centric framework. | Bo Ding, Huaimin Wang, Dian-xi Shi, Jiannong Cao |
| 2009 | SERA | Towards Unanticipated Adaptation: An Architecture-Based Approach. | Bo Ding, Huaimin Wang, Dian-xi Shi, Xiang Rao |