| 2026 | AAAI | Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting. | Yolo Yunlong Tang, Jing Bi, Chao Huang, Susan Liang, Daiki Shimada, Hang Hua, Yunzhong Xiao, Yizhi Song, Pinxin Liu, Mingqian Feng, Junjia Guo, Zhuo Liu, Luchuan Song, Ali Vosoughi, Jinxi He, Liu He, Zeliang Zhang, Jiebo Luo, Chenliang Xu |
| 2025 | AAAI | Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding. | Yunlong Tang, Daiki Shimada, Jing Bi, Mingqian Feng, Hang Hua, Chenliang Xu |
| 2025 | COLING | Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning. | Jing Bi, Yuting Wu, Weiwei Xing, Zhenjie Wei |
| 2025 | CVPR | Unveiling Visual Perception in Language Models: An Attention Head Analysis Approach. | Jing Bi, Junjia Guo, Yunlong Tang, Lianggong Bruce Wen, Zhang Liu, Bingjie Wang, Chenliang Xu |
| 2025 | CVPR | VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? | Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu |
| 2025 | ICCV | Generative AI for Cel-Animation: A Survey. | Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu |
| 2025 | IJCNN | Temporal Attention Mechanism Echo State Network for Ultra-Short-Term Wind Power Forecasting. | Xi Li, Cheng Xie, Jing Bi |
| 2025 | IJCNN | Dynamic Multi-Source Domain Transfer Learning for Robust Ultra-Short-Term Wind Power Forecasting with Echo State Networks. | Cheng Xie, Xi Li, Jing Bi |
| 2025 | SMC | Long-Term Time Series Forecasting with Variational Mode Decomposition and Former-style Models. | Yue Cao, Haitao Yuan, Zhenwei Kuang, Jing Bi, Xingzi Li, Jia Zhang |
| 2025 | SMC | Efficient Service Function Chaining in LEO Satellite Networks with Genetic Simulated Annealing-based Particle Swarm Optimization. | Dengyu Guo, Haitao Yuan, Jing Bi, Jia Zhang |
| 2025 | SMC | SVBTformer: A Decomposition-Enhanced Hybrid Transformer for Long-term Time Series Forecasting. | Zhenwei Kuang, Haitao Yuan, Jinhong Yang, Yi Wang, Jing Bi, Jia Zhang |
| 2025 | SMC | Latency-minimized Computation Offloading in 3C Manufacturing Workshops. | Yanan Liu, Jing Bi, Ziqi Wang, Junqi Zhang, Haitao Yuan, Jia Zhang |
| 2025 | SMC | Intelligent Offloading of Dependent Tasks for UAV-Relaying-Assisted Mobile Edge Computing. | Jingyao Li, Haitao Yuan, Dengyu Guo, Jing Bi, Jia Zhang |
| 2025 | SMC | MAR-Net: Multi-scale Attention Refinement Network for Enhanced Medical Image Segmentation. | Hongyao Ma, Jing Bi, Ziqi Wang, Ning Li, Haitao Yuan, Yibo Li, Jia Zhang |
| 2025 | SMC | Dual-GNN-Assisted Cooperative Hunting Optimizer for Dynamic Job Shop Scheduling. | Chen Wang, Jing Bi, Ziqi Wang, Junqi Zhang, Haitao Yuan, Jia Zhang |
| 2025 | SMC | Ocular Feature Extraction for Eye Movement Analysis and Neurological Dysfunction Diagnosis. | Ziqi Wang, Jing Bi, Xiaomeng Zhao, Junqi Zhang, Jiahui Zhai, Hongyao Ma, Jinglei Cui, Rong Cui, Zhipeng Zheng, Yuanchen Tang, Jiantao Liang, Kai Zhou |
| 2025 | SMC | Shapelet Temporal Evolution Graph Network for Water Quality Anomaly Detection. | Xiangxi Wu, Jing Bi, Gongming Wang, Ziqi Wang, Yibo Li, Junqi Zhang, Haitao Yuan, Jia Zhang, Xingyang Chang |
| 2025 | SMC | Ontology-Based Semantic Integration of Multi-Source Heterogeneous Industrial Devices. | Rina Wu, Jing Bi, Ziqi Wang, Haitao Yuan, Hailiang Zhao, Yanan Liu, Jia Zhang |
| 2025 | SMC | Privacy-Preserving Estimated Time of Arrival Prediction with Lightweight Multi-Task Federated Learning. | Jiahui Zhai, Jing Bi, Haitao Yuan, Ziqi Wang, Hongyao Ma, Chen Wang, Jia Zhang |
| 2024 | CoDIT | Multi-Classification Decision Fusion Based on Stacked Sparse Shrink AutoEncoder and GS-Tabnet for Network Intrusion Detection. | Ziqi Wang, Ziyue Guan, Xiangxi Wu, Jing Bi, Haitao Yuan, MengChu Zhou |
| 2024 | NAACL | OSCaR: Object State Captioning and State Change Representation. | Nguyen Nguyen, Jing Bi, Ali Vosoughi, Yapeng Tian, Pooyan Fazli, Chenliang Xu |
| 2024 | SMC | Graph Attention Transformer with Dilated Causal Convolution and Laplacian Eigenvectors for Long-term Water Quality Prediction. | Jing Bi, Danqing Chen, Haitao Yuan |
| 2024 | SMC | Resource Allocation and Trajectory Optimization in Unmanned Aerial Vehicle-assisted Mobile Edge Computing. | Jing Bi, Xiangshuai Cheng, Haitao Yuan, Siyu Niu, Jiahui Zhai |
| 2024 | SMC | Data-Enhanced Prediction with Decomposition and Amplitude-Aware Permutation Entropy in Distributed Computing Systems. | Haitao Yuan, Qinglong Hu, Jing Bi, Wei Zhang, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Multi-Indicator Water Quality Prediction Using Multimodal Bottleneck Fusion and ITransformer with Attention. | Jing Bi, Yibo Li, Xuan Zhang, Haitao Yuan, Ziqi Wang, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Mobility and Privacy-aware Computation Offloading with Energy Harvesting in MEC-enabled Networks. | Jing Bi, Siyu Niu, Haitao Yuan, Jiahui Zhai, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Energy-Optimized Computation Offloading with Improved Differential Evolution in UAV-Enabled Edge and Cloud Computing. | Haitao Yuan, Meijia Wang, Jing Bi, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Ontology Mapping-Based Semantic Reasoning with OPC UA for Heterogeneous Industrial Devices. | Jing Bi, Rina Wu, Haitao Yuan, Ziqi Wang, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Surrogate-Assisted Multi-Class Collaborative Teaching and Learning Optimizer for High-Dimensional Industrial Optimization Problems. | Jing Bi, Ziqi Wang, Haitao Yuan, Jinhong Yang, Jia Zhang |
| 2024 | SMC | Water Quality Anomaly Detection with Dual Sliding Windows and Convolutional LSTM. | Jing Bi, Ming Yuan, Haitao Yuan, Ziqi Wang, Junfei Qiao |
| 2024 | SMC | An Evolutionary Framework with Improved Variance-Stabilized Multi-Objective Proximal Policy Optimization and NSGA-II. | Jing Bi, Caiheng Yue, Haitao Yuan, Jiahui Zhai, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Energy-Optimized Task Offloading with Genetic Simulated-Annealing-Based PSO for Heterogeneous Edge and Cloud Computing. | Haitao Yuan, Ziyue Zheng, Jing Bi, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Energy and Time-Optimized Task Scheduling with Simulated-Annealing-Based Firefly Algorithm in Hybrid Cloud Edge Computing. | Jing Bi, Xinmin Zhou, Haitao Yuan, Jia Zhang, Mengchu Zhou |
| 2024 | SMC | Multi-User Computation Offloading in Mobile Edge Computing with Hybrid Whale Optimization. | Jing Bi, Ning Li, Haitao Yuan, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Low-Latency and Energy-Efficient Task Scheduling for End-Edge-Cloud Collaborative Computing. | Jingyao Li, Haitao Yuan, Yaofei Ma, Jing Bi, Jinhong Yang, Jia Zhang |
| 2024 | SMC | Long-Term Water Quality Prediction with Patch Savitsky-Golay Filtering and Transformer. | Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Jiahui Zhai, MengChu Zhou |
| 2024 | SMC | Energy-Optimized Offloading of Delay-Sensitive Tasks in Hybrid Edge-Cloud Computing. | Haitao Yuan, Shen Wang, Yaofei Ma, Jing Bi, Jinhong Yang, Jia Zhang, MengChu Zhou |
| 2024 | SMC | Energy-Efficient and Latency-Optimized Computation Offloading with Improved MOEA for Industrial Internet of Things. | Jiahui Zhai, Jing Bi, Haitao Yuan, Jinhong Yang, Jia Zhang, MengChu Zhou |
| 2023 | ICRA | Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems. | Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou |
| 2023 | ICRA | Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems. | Jing Bi, Jiahui Zhai, Haitao Yuan, Ziqi Wang, Junfei Qiao, Jia Zhang, MengChu Zhou |
| 2023 | SMC | Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers. | Haitao Yuan, Shen Wang, Jing Bi, Jia Zhang |
| 2023 | SMC | Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems. | Haitao Yuan, Meijia Wang, Jing Bi, Jia Zhang |
| 2023 | SMC | Network Anomaly Detection with Stacked Sparse Shrink Autoencoders and Improved XGBoost. | Jing Bi, Ziyue Guan, Haitao Yuan, Jia Zhang |
| 2023 | SMC | Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition. | Jing Bi, Yibo Li, Xingyang Chang, Haitao Yuan, Junfei Qiao |
| 2023 | SMC | Joint Optimization of Cache-Assisted Offloading and Resource Allocation in Mobile Edge Computing. | Jing Bi, Zhe Sun, Haitao Yuan, Jia Zhang |
| 2023 | SMC | Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems. | Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang |
| 2023 | SMC | Latency-Minimized Computation Offloading in Vehicle Fog Computing with Improved Whale Optimization Algorithm. | Jing Bi, Xiangdong Xue, Haitao Yuan, Jia Zhang |
| 2023 | SMC | Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network. | Jing Bi, Lifeng Xu, Haitao Yuan, Jia Zhang |
| 2023 | SMC | Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. | Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao |
| 2023 | SMC | Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing. | Ruixuan Wu, Yuliang Shi, Haitao Yuan, Jing Bi, Jia Zhang |
| 2023 | SMC | Cost-Effective and Dynamic Migration for Microservices in Hybrid Cloud-Edge Systems. | Jiahui Zhai, Jing Bi, Haitao Yuan, Jia Zhang |
| 2022 | ICRA | Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks. | Jing Bi, Haitao Yuan, Kangyuan Xu, Haisen Ma, MengChu Zhou |
| 2022 | SMC | Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention. | Jing Bi, Zexian Chen, Haitao Yuan, Yongze Lin, Junfei Qiao |
| 2022 | SMC | Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM. | Jing Bi, Ziyue Guan, Haitao Yuan |
| 2022 | SMC | Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization. | Jing Bi, Wenduo Gu, Haitao Yuan, Zhou Yu |
| 2022 | SMC | Adaptive Prediction of Resources and Workloads for Cloud Computing Systems with Attention-based and Hybrid LSTM. | Jing Bi, Haisen Ma, Haitao Yuan, Kangyuan Xu, MengChu Zhou |
| 2022 | SMC | LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment. | Jing Bi, Kun Ni, Haitao Yuan, Junfei Qiao |
| 2022 | SMC | Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. | Jing Bi, Zichao Wang, Haitao Yuan, Kun Ni, Junfei Qiao |
| 2022 | SMC | A Hybrid Deep Learning Method for Network Attack Prediction. | Jing Bi, Kangyuan Xu, Haitao Yuan, MengChu Zhou |
| 2022 | SMC | Cost-optimized Task Scheduling with Improved Deep Q-Learning in Green Data Centers. | Jing Bi, Zhou Yu, Haitao Yuan |
| 2022 | SMC | Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder. | Jing Bi, Chunhui Zhang, Haitao Yuan, Ziyue Guan, Junfei Qiao |
| 2022 | SMC | Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet. | Jing Bi, Jun Zhang, Haitao Yuan, Junfei Qiao |
| 2022 | SMC | Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion. | Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Han Gao, MengChu Zhou |
| 2022 | SMC | Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing. | Haitao Yuan, Qinglong Hu, Jing Bi |
| 2022 | SMC | Cost-minimized and Multi-plant Scheduling in Distributed Industrial Systems. | Haitao Yuan, Qinglong Hu, Jing Bi |
| 2022 | SMC | Collaborative Computation Offloading for Cost Minimization in Hybrid Computing Systems. | Jiahui Zhai, Jing Bi, Haitao Yuan |
| 2022 | SMC | Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder. | Luyao Zhang, Jing Bi, Haitao Yuan, Jun Zhang, Junfei Qiao |
| 2021 | ICCV | Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning. | Jing Bi, Jiebo Luo, Chenliang Xu |
| 2021 | SMC | A Spatio-Temporal Prediction Method of Wind Energy in Green Cloud Data Centers. | Jing Bi, Han Li, Haitao Yuan, Shuaifei Duanmu |
| 2021 | SMC | Energy-Aware Task Offloading with Genetic Particle Swarm Optimization in Hybrid Edge Computing. | Jing Bi, Kaiyi Zhang, Haitao Yuan, Qinglong Hu |
| 2021 | SMC | Cost Optimization for Partial Computation Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing. | Haitao Yuan, Jing Bi, Shuaifei Duanmu |
| 2020 | AAAI | Learning from Interventions Using Hierarchical Policies for Safe Learning. | Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu |
| 2020 | SMC | Improved LSTM-based Prediction Method for Highly Variable Workload and Resources in Clouds. | Shuang Li, Jing Bi, Haitao Yuan, MengChu Zhou, Jia Zhang |
| 2020 | SMC | Fine-grained Task Scheduling in Cloud Data Centers Using Simulated-annealing-based Bees Algorithm. | Haitao Yuan, Jing Bi, MengChu Zhou, Jia Zhang, Wei Zhang |
| 2020 | SMC | Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems. | Haitao Yuan, Jing Bi, MengChu Zhou, Jia Zhang, Wei Zhang |
| 2019 | SMC | An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction. | QuanXi Dong, YongZhe Lin, Jing Bi, Haitao Yuan |
| 2019 | SMC | An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. | Gongming Wang, Junfei Qiao, Jing Bi, Mengchu Zhou |
| 2019 | SMC | Location-Sensitive Resource optimization for Profit Maximization in Distributed Data Centers. | Haitao Yuan, Jing Bi |
| 2019 | SMC | Profit-Aware Spatial Task Scheduling in Distributed Green Clouds. | Haitao Yuan, Jing Bi |
| 2018 | SMC | Geographical Scheduling of Multi-application Tasks for Cost Minimization in Distributed Green Data Centers. | Jing Bi, Haitao Yuan, Mengchu Zhou |
| 2017 | BigData | Real-Time Anomaly Detection of Short-Time-Scale GWAC Survey Light Curves. | Tianzhi Feng, Zhihui Du, Yankui Sun, Jianyan Wei, Jing Bi, Jason Liu |
| 2016 | COMPSAC | Pattern Recognition for Large-Scale and Incremental Time Series in Healthcare. | Bo Liu, Jianqiang Li, Ji-Jiang Yang, Jing Bi, Rong Li, Yong Li |
| 2014 | ICSOC | Negative-Connection-Aware Tag-Based Association Mining and Service Recommendation. | Yayu Ni, Yushun Fan, Keman Huang, Jing Bi, Wei Tan |
| 2011 | ICMLC | D optimal design for inertial navigation systems self-demarcation test based on genetic algorithm and tabu search algorithm. | Wen-Ying Zhang, Jing Bi, Cheng Gong, Gang Guo, Yu Liu, Bao-ku Su |
| 2011 | ICWS | A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition. | Jing Bi, Zhiliang Zhu, Haitao Yuan, Yushun Fan, Ming Tie |
| 2009 | HIS | Application of IP Multicast Technology in Computer Laboratory Teaching System. | Jing Bi, Kai Song, Hang Li |
| 2009 | HIS | The Level Filling Algorithm for Clockwise Edge. | Jing Bi, Kai Song, Hang Li |
| 2007 | ISNN | Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process. | Ming Tie, Jing Bi, Yushun Fan |
| 2007 | SNPD | Automatic Audio Classification and Speaker Identification for Video Content Analysis. | Shu-Chang Liu, Jing Bi, Zhiqiang Jia, Rui Chen, Jie Chen, Minmin Zhou |