An Approach to Social Relationship Ranking on Internet-Based Social Platforms by Tempo-spatial Data Mining Using Location Prediction Technique. - Chao Ma 008; Yinda Wang; Haowen Liu; Hao Gui; Weiping Zhu 004; Xiaochuan Shi; Xuhui Li (BigData Congress, 2015)

A Parallel Ant Colony Optimization for the Maximum-Weight Clique Problem. - Didier El Baz; Mhand Hifi; Lei Wu 005; Xiaochuan Shi (IPDPS Workshops, 2016)

A grid-based reliable routing protocol for wireless sensor networks with randomly distributed clusters. - Xiaoliang Meng; Xiaochuan Shi; Zi Wang; Shuang Wu; Chenglin Li (Ad Hoc Networks, 2016)

Big Data for Social Media Evaluation: A Case of Wechat Platform Rankings in China. - Qian Liu; Jingsi Ni; Jing Huang; Xiaochuan Shi (DSC, 2017)

5G Development in China: From Policy Strategy to User-Oriented Architecture. - Qian Liu; Xiaochuan Shi; Xu Wang; Jia Li (Mob. Inf. Syst., 2017)

An Approach to Time Series Classification Using Binary Distribution Tree. - Chao Ma 008; Xiaochuan Shi; Weiping Zhu 004; Wei Li 121; Xiaohui Cui; Hao Gui (MSN, 2019)

Edge4TSC: Binary Distribution Tree-Enabled Time Series Classification in Edge Environment. - Chao Ma 008; Xiaochuan Shi; Wei Li 121; Weiping Zhu 004 (Sensors, 2020)

Everyone in SDN Contributes: Fault Localization via Well-Designed Rules. - Zhijun Hu; Libing Wu; Jianxin Li 001; Chao Ma 008; Xiaochuan Shi (ICDCS, 2021)

BRNN-GAN: Generative Adversarial Networks with Bi-directional Recurrent Neural Networks for Multivariate Time Series Imputation. - Zejun Wu; Chao Ma 008; Xiaochuan Shi; Libing Wu; Dian Zhang; Yutian Tang; Milos Stojmenovic (ICPADS, 2021)

TSA-GAN: A Robust Generative Adversarial Networks for Time Series Augmentation. - Zheng Li; Chao Ma 008; Xiaochuan Shi; Dian Zhang; Wei Li 121; Libing Wu (IJCNN, 2021)

DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation. - Zhanghan Song; Dian Zhang; Xiaochuan Shi; Wei Li 121; Chao Ma 008; Libing Wu (IJCNN, 2021)

Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score. - Linjiang Zhou; Chao Ma 008; Xiaochuan Shi; Dian Zhang; Wei Li 121; Libing Wu (IJCNN, 2021)

Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction. - Shunjie Chen; Xiaochuan Shi; Jingye Li; Shengqiong Wu; Hao Fei 001; Fei Li 021; Donghong Ji (COLING, 2022)

Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification. - Guanxi Feng; Chao Ma 008; Linjiang Zhou; Libing Wu; Jingsheng Zhang; Xiaochuan Shi (IJCNN, 2022)

Multi-timescale History Modeling for Temporal Knowledge Graph Completion. - Chen Chen Peng; Xiaochuan Shi; Rongwei Yu; Chao Ma 008; Libing Wu; Dian Zhang (MSN, 2022)

A mobile edge computing-based applications execution framework for Internet of Vehicles. - Libing Wu; Rui Zhang 083; Qingan Li; Chao Ma 008; Xiaochuan Shi (Frontiers Comput. Sci., 2022)

Meta-learning based spatial-temporal graph attention network for traffic signal control. - Min Wang 017; Libing Wu; Man Li; Dan Wu 006; Xiaochuan Shi; Chao Ma 008 (Knowl. Based Syst., 2022)

G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning. - Zhuangzhuang Zhang; Libing Wu; Debiao He; Qian Wang 002; Dan Wu 006; Xiaochuan Shi; Chao Ma 008 (IEEE Trans. Netw. Serv. Manag., 2022)

CCPO: Conservatively Constrained Policy Optimization Using State Augmentation. - Zepeng Wang; Xiaochuan Shi; Chao Ma 008; Libing Wu; Jia Wu 001 (ECAI, 2023)

Efficient Early Warning System in Identifying Enset Bacterial Wilt Disease using Transfer Learning. - Bete Aberra Fulle; Chao Ma 008; Xiaochuan Shi; Weiping Zhu 004; Zerihun Yemataw; Ephrem Assefa (IJCNN, 2023)

AdaDiffAD: Adaptively Segmenting Diffusion Models for Time Series Anomaly Detection in Dynamic JointCloud Environment. - Chao Ma; Lin Yi; Linjiang Zhou; Zepeng Wang; Xiaochuan Shi; Weiping Zhu (ICPADS, 2024)

ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment. - Fuqiang Tian; Xiaochuan Shi; Linjiang Zhou; Lanlan Chen; Chao Ma 008; Weiping Zhu 004 (IJCNN, 2024)

Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment. - Lanlan Chen; Xiaochuan Shi; Linjiang Zhou; Yilei Wang; Chao Ma 008; Weiping Zhu 004 (KSEM (3), 2024)

Axiomatization of Gradient Smoothing in Neural Networks. - Linjiang Zhou; Xiaochuan Shi; Chao Ma 008; Zepeng Wang (CoRR, 2024)

E2CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model. - Zepeng Wang; Chao Ma 008; Linjiang Zhou; Libing Wu; Lei Yang 024; Xiaochuan Shi; Guojun Peng (CoRR, 2024)

Rethinking the Principle of Gradient Smooth Methods in Model Explanation. - Linjiang Zhou; Chao Ma 008; Zepeng Wang; Xiaochuan Shi (CoRR, 2024)

Detection of multi-class lung diseases based on customized neural network. - Azmat Ali; Yulin Wang; Xiaochuan Shi (Comput. Intell., 2024)

Robust Frame-Level Detection for Deepfake Videos With Lightweight Bayesian Inference Weighting. - Linjiang Zhou; Chao Ma 008; Zepeng Wang; Yixuan Zhang; Xiaochuan Shi; Libing Wu (IEEE Internet Things J., 2024)

Segmentation and identification of brain tumour in MRI images using PG-OneShot learning CNN model. - Azmat Ali; Yulin Wang; Xiaochuan Shi (Multim. Tools Appl., 2024)

Measuring student attention based on EEG brain signals using deep reinforcement learning. - Asad Ur Rehman; Xiaochuan Shi; Farhan Ullah; Zepeng Wang; Chao Ma 008 (Expert Syst. Appl., 2025)

Optimizing prompt efficacy in large language models for fake news detection via evolutionary algorithm-based feature selection. - Lei Wu 005; Xinran Yang; Xiaochuan Shi; Chao Ma 008 (Inf. Sci., 2025)

MDSAM:Memory-Driven Sparse Attention Matrix for LVLMs Hallucination Mitigation. - Shuaiye Lu; Linjiang Zhou; Xiaochuan Shi (CoRR, 2025)