2025年
CROSSER: Learning Generalizable Humanoid Locomotion through Inverse Dynamics-Guided Cross-Simulator Adaptation, Z Wang, X Shi, Z Ding, Y Wang, Z Sun, C Ma, Z Lu, IEEE Robotics and Automation Letters
AdaptGrad: Adaptive Sampling to Reduce Noise, L Zhou, C Ma, Z Wang, L Wu, X Shi, Annual Conference on Neural Information Processing Systems (NeurIPS, CCF A类会议)
Baseline Generation Method for HIDS Data Based on Manifold Learning, J Jia, Y Wang, L Zhou, Z Song, L Yi, International Conference on Algorithms and Architectures for Parallel Processing
Exploration of applications with ChatGPT for green supply chain management, L Zhou, X Shi, Z Wang, C Ma, L Gao, Annals of Operations Research
Measuring student attention based on EEG brain signals using deep reinforcement learning, AU Rehman, X Shi, F Ullah, Z Wang, C Ma, Expert Systems with Applications
2024年
动态决策驱动的工控网络数据要素威胁检测方法, 王泽鹏, 马超, 张壮壮, 吴黎兵, 石小川, 计算机研究与发展 (CCF 中文T1期刊)
AdaDiffAD: Adaptively Segmenting Diffusion Models for Time Series Anomaly Detection in Dynamic JointCloud Environment, C Ma, L Yi, L Zhou, Z Wang, X Shi, W Zhu， International Conference on Parallel and Distributed Systems (ICPADS 2024)
Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment, L Chen, X Shi, L Zhou, Y Wang, C Ma, W Zhu, International Conference on Knowledge Science, Engineering and Management (KSEM 2024)
ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment, F Tian, X Shi, L Zhou, L Chen, C Ma, W Zhu, International Joint Conference on Neural Networks (IJCNN 2024)
Rumorllm: A rumor large language model-based fake-news-detection data-augmentation approach, J Lai, X Yang, W Luo, L Zhou, L Li, Y Wang, X Shi, Applied Sciences
2023年
Explainable artificial intelligence for digital finance and consumption upgrading,L Zhou, X Shi, Y Bao, L Gao, C Ma, Finance Research Letters (SSCI Q1，SCI高被引论文，SCI热点论文)
Robust Frame-Level Detection for Deepfake Videos With Lightweight Bayesian Inference Weighting, L Zhou, C Ma, Z Wang, Y Zhang, X Shi, L Wu, IEEE Internet of Things Journal
Efficient Early Warning System in Identifying Enset Bacterial Wilt Disease using Transfer Learning, BA Fulle, C Ma, X Shi, W Zhu, Z Yemataw, E Assefa, International Joint Conference on Neural Networks (IJCNN 2023)
Enter into society: Digitalized livelihoods and prosumer labor for people with disabilities in China, Y Bao, X Hu, R Zhang, X Shi, Frontiers in Psychology
Ccpo: Conservatively constrained policy optimization using state augmentation, Z Wang, X Shi, C Ma, L Wu, J Wu, ECAI 2023
2022年
Meta-learning based spatial-temporal graph attention network for traffic signal control, M Wang, L Wu, M Li, D Wu, X Shi, C Ma, Knowledge-based systems
一种执行轨迹驱动的移动应用功能分类方法, 马超, 李俊彤, 曹建农, 蔡华谦, 吴黎兵, 石小川, 计算机学报 (CCF 中文T1期刊)
Imputing missing indoor air quality data with inverse mapping generative adversarial network, Z Wu, C Ma, X Shi, L Wu, Y Dong, M Stojmenovic, Building and Environment
Joint alignment of multi-task feature and label spaces for emotion cause pair extraction, S Chen, X Shi, J Li, S Wu, H Fei, F Li, D Ji, Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022)
Points2shapelets: A salience-guided shapelets selection approach to time series classification, G Feng, C Ma, L Zhou, L Wu, J Zhang, X Shi, International joint conference on neural networks (IJCNN 2022)
2021年
BRNN-GAN: generative adversarial networks with bi-directional recurrent neural networks for multivariate time series imputation, Z Wu, C Ma, X Shi, L Wu, D Zhang, Y Tang, M Stojmenovic, IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS 2021)
DEN-DQL: Quick convergent deep Q-learning with double exploration networks for news recommendation, Z Song, D Zhang, X Shi, W Li, C Ma, L Wu, International Joint Conference on Neural Networks (IJCNN 2021)
Tsa-gan: A robust generative adversarial networks for time series augmentation, Z Li, C Ma, X Shi, D Zhang, W Li, L Wu, International Joint Conference on Neural Networks (IJCNN 2021)
Salience-cam: Visual explanations from convolutional neural networks via salience score, L Zhou, C Ma, X Shi, D Zhang, W Li, L Wu, International Joint Conference on Neural Networks (IJCNN 2021)