| 2025 | INFOCOM | MegaScatter: Large-Scale and Ubiquitous Backscatter Network via Multi-Domain Fusion. | Shanyue Wang, Yuxin Ding, Yubo Yan, Feiyu Han, Dawei Yan, Panlong Yang |
| 2024 | COLING | A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation. | Yunxin Li, Baotian Hu, Wenhan Luo, Lin Ma, Yuxin Ding, Min Zhang |
| 2024 | HCI | The Heuristic Design Innovation Approach for Data-Integrated Large Language Model. | Longfei Zhou, Lingyan Zhang, Xinda Chen, Yuxin Ding, Yun Wang |
| 2024 | IWQoS | WiB-MAC: Collision-Avoidance Multiple Access for Wi-Fi Backscatter Networks. | Yujie Chen, Yuxin Ding, Shanyue Wang, Yubo Yan |
| 2024 | IWQoS | SlickScatter: Retrieve WiFi Backscatter Signal from Unknown Interference. | Shanyue Wang, Feiyu Han, Yubo Yan, Yuxin Ding, Panlong Yang, Xiang-Yang Li |
| 2024 | Mobisys | MultiRider: Enabling Multi-Tag Concurrent OFDM Backscatter by Taming In-band Interference. | Shanyue Wang, Yubo Yan, Feiyu Han, Ye Tian, Yuxin Ding, Panlong Yang, Xiang-Yang Li |
| 2024 | PAKDD | Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks. | Junjie Zhang, Yuxin Ding |
| 2023 | ACL | A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues. | Yunxin Li, Baotian Hu, Xinyu Chen, Yuxin Ding, Lin Ma, Min Zhang |
| 2023 | ACL | A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text. | Yunxin Li, Baotian Hu, Yuxin Ding, Lin Ma, Min Zhang |
| 2023 | ASRU | The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. | Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews |
| 2023 | HCI | From Pattern to Imagery Correlation: An Evaluation Method for the Redesign of Liangzhu Patterns Based on GRA-TOPSIS. | Yuxin Ding, Yun Wang, Longfei Zhou, Lingyan Zhang, Yunjia Chen |
| 2022 | ICMLC | A Dynamic Immune Strategy for Blocking the Spreading of Worms in Vanets. | Yuxin Ding, Huang Ningxin, Wenting Xu |
| 2022 | ICONIP | Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition. | Wen Qian, Yuxin Ding, Weiyi Li |
| 2022 | ICONIP | Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information. | Guangbin Wang, Yuxin Ding, Yiqi Su, Zihan Zhou, Yubin Ma, Wen Qian |
| 2022 | IJCNN | RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks. | Guangbin Wang, Yuxin Ding, Zhibin Xie, Yubin Ma, Zihan Zhou, Wen Qian |
| 2022 | KDD | Medical Dialogue Response Generation with Pivotal Information Recalling. | Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang, Yuxin Ding, Min Zhang |
| 2021 | ICMLC | Data Augmentation in Training Deep Learning Models for Malware Family Classification. | Yuxin Ding, Guangbin Wang, Yubin Ma, Haoxuan Ding |
| 2021 | NSS | A Malware Family Classification Method Based on the Point Cloud Model DGCNN. | Yuxin Ding, Zihan Zhou, Wen Qian |
| 2020 | ICONIP | Fine-Grained Scene-Graph-to-Image Model Based on SAGAN. | Yuxin Ding, Fuxing Xue, Weiyi Li, Cai Nie |
| 2019 | DASC | A Denoising Framework for Image Caption. | Yulong Zhang, Yuxin Ding, Rui Wu, Fuxing Xue |
| 2019 | ICMLC | A Deep Feature Fusion Method for Android Malware Detection. | Yuxin Ding, Jieke Hu, Wenting Xu, Xiao Zhang |
| 2016 | ICONIP | Android Malware Detection Method Based on Function Call Graphs. | Yuxin Ding, Siyi Zhu, Xiaoling Xia |
| 2016 | IJCNN | Application of Deep Belief Networks for opcode based malware detection. | Yuxin Ding, Sheng Chen, Jun Xu |
| 2015 | ICMLC | Topic optimization method based on Laplace score. | Yang Xiao, Yuxin Ding |
| 2015 | ICONIP | Topic Optimization Method Based on Pointwise Mutual Information. | Yuxin Ding, Shengli Yan |
| 2015 | IJCNN | Ranking algorithm based on relational topic model. | Yuxin Ding, Shengli Yan, Yang Xiao, Tingting Tao |
| 2014 | ICMLC | Abnormal user detection based on instant messages. | Wei Dai, Yuxin Ding, Chenglong Xue, Yibin Zhang, Guohua Wu |
| 2013 | ICMLC | Malware detection based on objective-oriented association mining. | Xiao Xiao, Yuxin Ding, Yibin Zhang, Ke Tang, Dai Wei |
| 2012 | ICIP | Object retrival based on visual word pairs. | Yuxin Ding, Bin Zhao, Qingzhen You, Guangren Chai |
| 2011 | ICMLC | Malicious web page detection based on on-line learning algorithm. | Wen Zhang, Yuxin Ding, Yan Tang, Bin Zhao |
| 2011 | ICONIP | High Order Hopfield Network with Self-feedback to Solve Crossbar Switch Problem. | Yuxin Ding, Li Dong, Bin Zhao, Zhanjun Lu |
| 2011 | ICONIP | User Identification for Instant Messages. | Yuxin Ding, Xuejun Meng, Guangren Chai, Yan Tang |
| 2011 | ICONIP | Learning to Rank Documents Using Similarity Information between Objects. | Di Zhou, Yuxin Ding, Qingzhen You, Min Xiao |
| 2011 | IJCNN | Learning to rank relational objects based on the listwise approach. | Yuxin Ding, Di Zhou, Min Xiao, Li Dong |
| 2010 | ICMLC | Topic based automatic news recommendation using topic model and affinity propagation. | Yonghui Wu, Yuxin Ding, Xiaolong Wang, Jun Xu |
| 2010 | ICONIP | A High Order Neural Network to Solve Crossbar Switch Problem. | Yuxin Ding, Li Dong, Ling Wang, Guohua Wu |
| 2010 | IJCNN | A high order neural network to solve N-queens problem. | Yuxin Ding, Ye Li, Min Xiao, Qing Wang, Dong Li |
| 2009 | HIS | The Performance Optimization of CLIPS. | Yuxin Ding, Qing Wang, Jiahua Huang |
| 2008 | SMC | Genre identification of Chinese finance text using machine learning method. | Jun Xu, Yuxin Ding, Xiaolong Wang, Yonghui Wu |
| 2002 | PAKDD | User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. | Dit-Yan Yeung, Yuxin Ding |