| 2026 | AAAI | Monocular Mesh Recovery and Body Measurement of Female Saanen Goats. | Bo Jin, Shichao Zhao, Jin Lyu, Bin Zhang, Tao Yu, Liang An, Yebin Liu, Meili Wang |
| 2026 | ACL | SiLP: Enhancing Non-Dominant Language Capabilities with a Selective Bidirectional Language Projection Framework. | Junpeng Liu, Jiuyi Li, Kaiyu Huang, Bo Jin, Degen Huang, Hui Xiong |
| 2026 | ACL | On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning. | Di Wu, Jiaxin Fan, Chloe Gu, Guanbo Wang, Wei Yin, Wenhao Li, Bo Jin |
| 2025 | AAAI | Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. | Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin |
| 2025 | AAAI | Relaxed Rotational Equivariance via G-Biases in Vision. | Zhiqiang Wu, Yingjie Liu, Licheng Sun, Jian Yang, Hanlin Dong, Shing-Ho J. Lin, Xuan Tang, Jinpeng Mi, Bo Jin, Xian Wei |
| 2025 | AAAI | DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. | Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li |
| 2025 | AISTATS | Multi-Agent Credit Assignment with Pretrained Language Models. | Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha |
| 2025 | CSCWD | Dynamic Quadruple Optimization Based Transfer Learning for Animal Biometric Identification. | Cheng Shang, Bo Jin, Feiyu Zhang, Chong He, Xubo Yang, Yongliang Qiao, Meili Wang |
| 2025 | ICASSP | IDE: A Multi-Agent-Driven Iterative Framework for Dynamic Evaluation of LLMs. | Xin Tong, Bo Jin, Jingya Wang, Wenpeng Xing, Tian Xia, Meng Han |
| 2025 | ICLR | R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection. | Zhiqiang Wu, Yingjie Liu, Hanlin Dong, Xuan Tang, Jian Yang, Bo Jin, Mingsong Chen, Xian Wei |
| 2025 | ICML | Reward Translation via Reward Machine in Semi-Alignable MDPs. | Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang |
| 2025 | IJCAI | SkyRover: A Modular Simulator for Cross-Domain Pathfinding. | Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang |
| 2025 | IJCAI | Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. | Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin |
| 2025 | IROS | Transformer-Based Multi-Agent Reinforcement Learning Method With Credit-Oriented Strategy Differentiation. | Kaixuan Huang, Bo Jin, Kun Zhang, Haiyin Piao, Ziqi Wei |
| 2024 | AAAI | Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder. | Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou |
| 2024 | AAAI | Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction. | Jianping Zhu, Xin Guo, Yang Chen, Yao Yang, Wenbo Li, Bo Jin, Fei Wu |
| 2024 | CogSci | Multi-view Time-frequency Contrastive Learning for Emotion Recognition. | Lei Wang, Jianping Zhu, Bo Jin, Xiaopeng Wei |
| 2024 | HPCC | Range IP oriented fast search algorithm for IPSec gateway security policies. | Bo Jin, Xingwei Cai, Yuhao Liu, Nannan Xia, Zhiyong Zha, Yongchao Shen, Kai Peng |
| 2024 | MICCAI | Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning. | Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai |
| 2023 | ICDE | Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. | Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou |
| 2023 | ICML | Hierarchical Diffusion for Offline Decision Making. | Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha |
| 2023 | PAKDD | A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification. | Jianping Zhu, Haocheng Tang, Liang Zhang, Bo Jin, Yi Xu, Xiaopeng Wei |
| 2023 | WWW | Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. | Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2022 | DASFAA | Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition. | Ting Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang |
| 2022 | ICLR | Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. | Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha |
| 2022 | IJCAI | VMAgent: A Practical Virtual Machine Scheduling Platform. | Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang |
| 2022 | ICRA | Multi-Agent Path Finding with Prioritized Communication Learning. | Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang |
| 2021 | CEC | Multi-Objective A* Algorithm for the Multimodal Multi-Objective Path Planning Optimization. | Bo Jin |
| 2021 | ICDM | A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. | Xu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu |
| 2021 | IJCNN | Semi-supervised Medical Image Segmentation with Confidence Calibration. | Qisen Xu, Qian Wu, Yiqiu Hu, Bo Jin, Bin Hu, Fengping Zhu, Yuxin Li, Xiangfeng Wang |
| 2021 | KDD | HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. | Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha |
| 2021 | VTC | TGT-HC: A Time-Aware Shaper Scheduled Hyperchannel Protocol for Wireless Time Sensitive Networks (TSNs ). | Raymond J. Jayabal, David Tung Chong Wong, Lee Kee Goh, Chin Ming Pang, Sumei Sun, Bo Jin, Yugang Ma, Leng Meng Goh, Wang-Cho Cheng |
| 2021 | SDM | EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. | Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu |
| 2020 | CIKM | Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. | Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang |
| 2020 | CVPR | Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. | Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang |
| 2020 | DASFAA | Low Rank Communication for Federated Learning. | Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin |
| 2020 | ICDM | Fast Sparse Connectivity Network Adaption via Meta-Learning. | Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei |
| 2020 | ICPR | VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. | Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha |
| 2020 | ICPR | Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. | Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha |
| 2020 | IJCNN | Visual-to-Semantic Hashing for Zero Shot Learning. | Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, Jinghui Cai |
| 2020 | ISPA | Resource Allocation Optimization with Guaranteed Security Level for Anti-traceable Access. | Bo Jin, Hao Jin, Yashen Wang, Yangyang Li, Xi Luo, Xiaoqing Gong, Xiaoyan Yin |
| 2020 | NOMS | Scalable Traffic Engineering for Higher Throughput in Heavily-loaded Software Defined Networks. | Che Zhang, Shiwei Zhang, Yi Wang, Weichao Li, Bo Jin, Ricky K. P. Mok, Qing Li, Hong Xu |
| 2019 | DASFAA | SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning. | Wenhao Li, Bo Jin, Xiangfeng Wang |
| 2019 | FUSION | SLAM Based on Double Layer Cubature Kalman Filter. | Feng Yang, Bo Jin, Mengting Yan, Yujuan Luo |
| 2019 | ICDM | A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing. | Lihao Zhang, Zeyang Ye, Keli Xiao, Bo Jin |
| 2019 | IWQoS | An empirical study of mobile network behavior and application performance in the wild. | Shiwei Zhang, Weichao Li, Daoyuan Wu, Bo Jin, Rocky K. C. Chang, Debin Gao, Yi Wang, Ricky K. P. Mok |
| 2019 | SIGCOMM | A3: An Automatic Malfunction Detection and Fixation System in FatTree Data Center Networks. | Che Zhang, Shiwei Zhang, Bo Jin, Weichao Li, Zhen Wang, Yi Wang |
| 2018 | GLOBECOM | Distributed Information-Agnostic Flow Scheduling in Data Centers Based on Wait-Time. | Kai Lei, Keke Li, Jie Xing, Bo Jin, Yi Wang |
| 2018 | ICDM | Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. | Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin |
| 2018 | ICDM | CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. | Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin |
| 2018 | KDD | A Treatment Engine by Predicting Next-Period Prescriptions. | Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong |
| 2018 | SIGIR | Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. | Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha |
| 2017 | AAAI | Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. | Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang |
| 2017 | HealthCom | Exploring risk factors and predicting UPDRS score based on Parkinson's speech signals. | Jianxin Zhang, Weifeng Xu, Qiang Zhang, Bo Jin, Xiaopeng Wei |
| 2017 | SIGCOMM | WVCC: Weighted Virtual Congestion Control for Datacenter Networks. | Jiaqing Dong, Yi Wang, Chen Tian, Bo Jin, Hao Yin, Gong Zhang |
| 2017 | SDM | An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. | Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang |
| 2016 | IJCAI | On Modeling and Predicting Individual Paper Citation Count over Time. | Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha |
| 2016 | IJCAI | Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. | Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha |
| 2016 | KDD | Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods. | Bo Jin, Chao Che, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, Qiang Zhang |
| 2016 | SNPD | Operational pattern based code generation for management information system: An industrial case study. | Fagui Mao, Xuyang Cai, Beijun Shen, Yong Xia, Bo Jin |
| 2016 | SNPD | Ensuring replication-based data integrity and availability in multicloud storage. | Xin Pei, Jiuchuan Lin, Bo Jin, Yongjian Wang |
| 2016 | SNPD | An empirical study on recovering requirement-to-code links. | Yuchen Zhang, Chengcheng Wan, Bo Jin |
| 2015 | PAKDD | Efficient Methods for Multi-label Classification. | Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau |
| 2014 | ICDM | Technology Prospecting for High Tech Companies through Patent Mining. | Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang |
| 2010 | IWDW | Interleaving Embedding Scheme for ECC-Based Multimedia Fingerprinting. | Xuping Zheng, Aixin Zhang, Shenghong Li, Bo Jin, Junhua Tang |
| 2007 | ADMA | Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction. | Bo Jin, Hongfei Teng, Yanjun Shi, Fuzheng Qu |
| 2007 | ISNN | Genetic Granular Neural Networks. | Yan-Qing Zhang, Bo Jin, Yuchun Tang |
| 2006 | GRC | Evolutionary voting kernel machines for cyclooxygenase-2 inhibitor activity comparisons. | Bo Jin, Yan-Qing Zhang |
| 2006 | ISNN | Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison. | Bo Jin, Yan-Qing Zhang |
| 2005 | CIBCB | Evolutionary Granular Kernel Trees and Applications in Drug Activity Comparisons. | Bo Jin, Yan-Qing Zhang, Binghe Wang |
| 2005 | GRC | Support vector machines with evolutionary interval neural networks for granular feature transformation in making effective biomedical data classification. | Bo Jin, Yan-Qing Zhang, Xiaohua Tony Hu |
| 2005 | ICCSA | The Binary Multi-SVM Voting System for Protein Subcellular Localization Prediction. | Bo Jin, Yuchun Tang, Yan-Qing Zhang, Chung-Dar Lu, Irene T. Weber |
| 2004 | CIBCB | Granular support vector machines for medical binary classification problems. | Yuchun Tang, Bo Jin, Yi Sun, Yan-Qing Zhang |
| 1997 | PDPTA | Simulation Study of Clock Synchronization in Distributed Systems. | Bo Jin, Lan Yang |
| 1991 | ICPP | Application of Neural Networks in Handling Large Incomplete Databases: VLSI Design and Performance Analysis. | Bo Jin, Simin H. Pakzad, Ali R. Hurson |
| 1989 | ICDCS | A new approach to hypercube network analysis. | Bo Jin, Lan Jin |