| 2024 | ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. | Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li |
| 2024 | Dual-Contrastive Multi-view Clustering Under the Guidance of Global Similarity and Pseudo-label. | Ziyi Yin, Lihua Zhou, Lizhen Wang, Hongmei Chen |
| 2024 | Answering Spatial Commonsense Questions Based on Chain-of-Thought Reasoning with Adaptive Complexity. | Han Yin, Jianxing Yu, Miaopei Lin, Shiqi Wang |
| 2024 | Product Anomaly Detection on Heterogeneous Graphs with Sparse Labels. | Dan Yin, Sihang Fang, Tianshuo Wang, Maozu Guo |
| 2024 | BIVXDB: A Bottom Information Invert Index to Speed up the Query Performance of LSM-Tree. | Zekun Yao, Jiang Zhou, Zhixin Fan, Licheng Shan, Yinliang Yue, Yang Song |
| 2024 | Poplar: Partially-Ordered Parallel Logging for Lower Isolation Levels. | Lei Yang, Huan Zhou, Weining Qian, Jian Hu, Tao Liu, Jianhua Zhang |
| 2024 | A Powerful Local Search Method for Minimum Steiner Tree Problem. | Boyu Yang, Weiguo Zheng |
| 2024 | Self Supervised Contrastive Learning Combining Equivariance and Invariance. | Longze Yang, Yan Yang, Hu Jin |
| 2024 | Parallel Program Generation for Hybrid Tabular-Textual Question Answering. | Wenke Yang, Zihan Yang, Liuyi Chen, Ruiqing Yan, Zhengyi Yang, Linhan Zhang, Yifu Tang |
| 2024 | Proof of Run: A Fair and Sustainable Blockchain Consensus Protocol Based on Game Theory in DApps. | Meiqi Yang, Yu Tao, Xiaofei Wu, Chunpeng Ge, Lu Zhou |
| 2024 | A Secure Dynamic Incentive Scheme for Federated Learning. | Hanqing Yang, Lixin Liu, Jingyu Wang, Zetian Zhang, Yun Hao |
| 2024 | Dual-View Stack State Learning Network for Attribute-Based Container Location Assignment. | Rong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu |
| 2024 | Byzantine-Robust Aggregation for Federated Learning with Reinforcement Learning. | Sizheng Yan, Junping Du, Zhe Xue, Ang Li |
| 2024 | MTEC: A Multi-tier Blockchain Storage Framework Using Erasure Coding for IoT Application. | Xinwei Xu, Yongkang Yu, Jinchun He, Qinnan Zhang, Hongwei Zheng, Binghui Guo, Jin Dong, Wangjie Qiu |
| 2024 | Watch Your Words: Successfully Jailbreak LLM by Mitigating the "Prompt Malice". | Xiaowei Xu, Yixiao Xu, Xiong Chen, Peng Chen, Mohan Li, Yanbin Sun |
| 2024 | BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation. | Zekun Xu, Wenlong Wu, Zhanzuo Yin, Xinzhe Zhao, Junnan Zhuo, Bohan Li |
| 2024 | SE-GCN: A Syntactic Information Enhanced Model for Aspect-Based Sentiment Analysis. | Bin Xu, Shuai Li, Xiaoling Xue, YiKe Han |
| 2024 | Flutist: Parallelizing Transaction Processing for LSM-Tree-Based Relational Database. | Qing Xu, Meng Chen, Yunxin Yang, Chundong Wang |
| 2024 | An Enhanced MobileNet with Multi-scale Attention Aggregation for DR Classification. | Heran Xi, Hongxu Ji, Yang Hu, Jinbao Li, Jinghua Zhu |
| 2024 | Maintaining Data Freshness in Multi-channel Multi-hop Wireless Networks. | Qinglin Xie, Yingyan Li, Yuan Chai, Quan Chen, Fanlong Zhang, Yongchao Tao |
| 2024 | Generating Adversarial Texts by the Universal Tail Word Addition Attack. | Yushun Xie, Zhaoquan Gu, Runnan Tan, Cui Luo, Xiangyu Song, Haiyan Wang |
| 2024 | Improving Zero-Shot Information Retrieval with Mutual Validation of Generative and Pseudo-Relevance Feedback. | Xinran Xie, Rui Chen, Tailai Peng, Dekun Lin, Zhe Cui |
| 2024 | Parallel Secure Inference for Multiple Models Based on CKKS. | Weibin Wu, Ying Wang, Yangpan Zhang, Luyao Wang, Lu Zhou |
| 2024 | Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation. | Xia Wu, Shaoqing Wang, Yao Zhang |
| 2024 | Using High-Quality Feature for Weakly-Supervised Camouflaged Object Detection. | Weijie Wu, Yiqiu Tong, Qijun Jiang, Lina Chen, Hong Gao |