| 2026 | CCGRID | SD-MoE: Scenario-Driven MoE Forecasting for Intelligent Elastic Scaling in Cloud Clusters. | Xianzhao Guo, Weipeng Cao, Minxian Xu, Dachuan Li, Chuanfei Xu, Xi Tao, Zhong Ming |
| 2026 | KSEM | Prohibited Item Detection Model Based on Mamba Architecture for X-Ray Image Analysis. | Zhitao Wu, Jingchang Gao, Haigang Zhang, Weipeng Cao |
| 2025 | ICA3PP | AKD: an Asymmetric Knowledge Distillation Algorithm for Time Series Models in Cloud Service Performance Monitoring. | Pengwei Liu, Weipeng Cao, Jiawei Qiu, Chuanfei Xu, Xi Tao, Zhong Ming |
| 2025 | KSEM | A Review of Optimization Techniques for Large Language Model Inference. | Yujia Cao, Xi Tao, Weipeng Cao, Chuanfei Xu, Zhong Ming |
| 2024 | INDIN | Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Learning. | Weipeng Cao, Xuyang Yao, Zhiwu Xu, Yinghui Pan, Yixuan Sun, Dachuan Li, Bohua Qiu, Muheng Wei |
| 2024 | INDIN | ICSGD-Momentum: SGD Momentum Based on Inter-gradient Collision. | Weidong Zou, Weipeng Cao, Yuanqing Xia, Bineng Zhong, Dachuan Li |
| 2024 | IWQoS | QoS Perception for Cloud Databases: Necessity, Trends, and Challenges. | Weipeng Cao, Xi Tao, Yinghui Pan, Ye Liu, Zhong Ming |
| 2024 | IWQoS | Improving QoS of Workloads with CPU Pinning: A Deep Reinforcement Learning Approach. | Xi Tao, Weipeng Cao, Yinghui Pan, Ye Liu, Zhong Ming |
| 2024 | KSEM | Cop: Continuously Pairing of Heterogeneous Wearable Devices Based on Heartbeat. | Wenfeng He, Jiawei Lin, Yongpan Zou, Weipeng Cao |
| 2024 | KSEM | DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. | Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng |
| 2024 | KSEM | WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments. | Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming, Changping Ji, Jiongjiong Gu, Chuqing Cao, Liang Zheng |
| 2024 | MMM | MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification. | Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhenru Chen, Xi Tao, Zhong Ming, Chuqing Cao, Liang Zheng |
| 2022 | KSEM | BLSHF: Broad Learning System with Hybrid Features. | Weipeng Cao, Dachuan Li, Xingjian Zhang, Meikang Qiu, Ye Liu |
| 2022 | KSEM | A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking. | Weipeng Cao, Yuhao Wu, Qiang Wang, Jiyong Zhang, Xingjian Zhang, Meikang Qiu |
| 2022 | KSEM | W-Hash: A Novel Word Hash Clustering Algorithm for Large-Scale Chinese Short Text Analysis. | Yaofeng Chen, Chunyang Zhang, Long Ye, Xiaogang Peng, Meikang Qiu, Weipeng Cao |
| 2022 | KSEM | Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking. | Hongbin He, Hongyu Kuang, Lin Yang, Feng Yang, Qiang Wang, Weipeng Cao |
| 2021 | ISPA | Target-oriented Self Training for Heterogeneous Domain Adaptation. | An Da, Rui Zhang, Shuang Li, Weipeng Cao |
| 2021 | ISPA | Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. | Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei |
| 2021 | ISPA | Research on An Approach of ARP Flooding Suppression in Multi-Controller SDN Networks. | Jinhua Du, Xianming Gao, Jingchao Wang, Shaohua Liu, Weipeng Cao, Yanbo Song, Shanqing Jiang |
| 2021 | ISPA | Domain Adaptive Semantic Segmentation via Image Translation and Representation Alignment. | Jingxuan Kang, Bin Zang, Weipeng Cao |
| 2021 | ISPA | PEBIID: Privacy-preserving and Efficient Biometric Identification for IoV DApp. | Chun Liu, Lin Yang, LinRu Ma, LiuCheng Shi, Xuexian Hu, Weipeng Cao, JingJing Zhang |
| 2021 | KSEM | Interpretation of Learning-Based Automatic Source Code Vulnerability Detection Model Using LIME. | Gaigai Tang, Long Zhang, Feng Yang, Lianxiao Meng, Weipeng Cao, Meikang Qiu, Shuangyin Ren, Lin Yang, Huiqiang Wang |
| 2021 | KSEM | Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. | Weidong Zou, Yuanqing Xia, Meikang Qiu, Weipeng Cao |
| 2020 | ICA3PP | Research Progress of Zero-Shot Learning Beyond Computer Vision. | Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang |
| 2020 | ICA3PP | A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. | Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming |
| 2020 | ICA3PP | Distributed and Parallel Ensemble Classification for Big Data Based on Kullback-Leibler Random Sample Partition. | Chenghao Wei, Jiyong Zhang, Timur Valiullin, Weipeng Cao, Qiang Wang, Hao Long |
| 2020 | ICA3PP | Broad Learning System with Proportional-Integral-Differential Gradient Descent. | Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming |
| 2020 | ICMLA | Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. | Weidong Zou, Yuanqing Xia, Weipeng Cao |
| 2020 | IJCNN | Dense Broad Learning System based on Conjugate Gradient. | Weidong Zou, Yuanqing Xia, Weipeng Cao |
| 2020 | TASE | A Comparative Study of Neural Network Techniques for Automatic Software Vulnerability Detection. | Gaigai Tang, Lianxiao Meng, Huiqiang Wang, Shuangyin Ren, Qiang Wang, Lin Yang, Weipeng Cao |
| 2019 | IJCNN | An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. | Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming |