学术论文
2025年：
Junkai Liang, Daqi Hu, Pengfei Wu, Yunbo Yang, Qingni Shen, and Zhonghai Wu: SoK: Understanding zk-SNARKs: The Gap Between Research and Practice[C]. USENIX Security 2025
Junkai Liang, Zhi Zhang, Xin Zhang, Qingni Shen, Yansong Gao, Xingliang Yuan, Haiyang Xue, Pengfei Wu, Zhonghai Wu: A Formal Framework of Leaking Secrets from Signature Schemes via Rowhammer[C]. USENIX Security 2025
Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu: FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis[C]. AAAI 2025
Hao Liu, Chong Wang, Zhonghai Wu: A probabilistic automata-based network attack-defense game model for data security by using security service chain[J]. WWW. 28(1):11(2025)
Xiaolei Zhang, Zhaoyu Chen, Guangpu Chen, Xinyu Feng, Qingni Shen, Zhonghai Wu: RPPFL: Robust and Privacy-Preserving Federated Learning via Trusted Execution Environments[C]. ICASSP 2025
Yingpeng Du, Hongzhi Liu, Hengshu Zhu, Yang Song, Zhi Zheng, Zhonghai Wu: Quasi-Metric Learning for Bilateral Person-Job Fit[J]. IEEE TPAMI (2025)
Cong Li, Qingni Shen, Zhonghai Wu: Redactable Blockchain From Decentralized Chameleon Hash Functions, Revisited[J]. IEEE TC (2025)
陈博言，沈晴霓，张晓磊，张鑫，李聪，吴中海: 智能网联汽车的车载网络攻防技术研究进展[J]. 软件学报 36(1):341-370 (2025)
2024年：
Xin Zhang, Zhi Zhang, Qingni Shen, Wenhao Wang, Yansong Gao, Zhuoxi Yang, Zhonghai Wu: ThermalScope: A Practical Interrupt Side Channel Attack Based on Thermal Event Interrupts[C]. DAC 2024: 28:1-28:6
Luyuan Xie, Manqing Lin, Tianyu Luan, Cong Li, Yuejian Fang, Qingni Shen, Zhonghai Wu: MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis[C]. ACM ICML 2024
Xinyu Feng, Qingni Shen, Cong Li, Jishen Dong, Yuejian Fang, Zhonghai Wu: HYPRE: Hybrid Proxy Re-encryption for Secure Multimedia Data Sharing on Mobile Devices[C]. IEEE ICME 2024: 1-6
Luyuan Xie, Manqing Lin, ChenMing Xu, Tianyu Luan, Zhipeng Zeng, Wenjun Qian, Cong Li, Yuejian Fang, Qingni Shen, Zhonghai Wu: MH-pFLGB: Model Heterogeneous Personalized Federated Learning via Global Bypass for Medical Image Analysis[C]. MICCAI (10) 2024: 534-545
Luyuan Xie, Manqing Lin, Siyuan Liu, ChenMing Xu, Tianyu Luan, Cong Li, Yuejian Fang, Qingni Shen, Zhonghai Wu: pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation[C]. MICCAI 2024: 599-610
Tianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu, Zhonghai Wu: Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation[C]. SDM 2024
Luyuan Xie, Cong Li, Xin Zhang, Shengfang Zhai, Yuejian Fang, Qingni Shen, Zhonghai Wu: TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing[C]. IEEE ICASSP 2024: 1591-1595
Wenjun Qian, Qingni Shen, Haoran Xu, Xi Huang, Zhonghai Wu: DROPFL: Client Dropout Attacks Against Federated Learning Under Communication Constraints[C]. ICASSP 2024: 4870-4874
Xinyu Feng, Qingni Shen, Cong Li, Yuejian Fang, Zhonghai Wu: Privacy Preserving Federated Learning from Multi-Input Functional Proxy Re-Encryption. ICASSP 2024: 6955-6959
Cong Li, Xinyu Feng, Qingni Shen, Zhonghai Wu: On the Security of Secure Keyword Search and Data Sharing Mechanism for Cloud Computing[J]. IEEE TDSC. 21(4): 4306-4308 (2024)
Hongzhi Liu, Yao Zhu, Zhonghai Wu: Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation[J]. IEEE TKDE. 36(6): 2490-2503 (2024)
Xiaolei Zhang, Zhaoyu Chen, XinZhang, Qingni Shen, Zhonghai Wu: An Irrecoverable and Verifiable Deletion Scheme for Outsourced Data[J]. The Computer Journal. 67(10): 2877-2889 (2024)
Wenjun Qian, Qingni Shen, Xiaoyi Chen, Cong Li, Yuejian Fang, Zhonghai Wu: FDP-FL: Differentially Private Federated Learning with Flexible Privacy Budget Allocation[J]. The Computer Journal. https://doi.org/10.1093/comjnl/bxae081 (2024)
Ruiyao Huang, Qingni Shen, Yuchen Wang, Yiqi Wu, Zhonghai Wu, Xiapu Luo, Anbang Ruan: ReenRepair: Automatic and semantic equivalent repair of reentrancy in smart contracts[J]. J. Syst. Softw. 216: 112107 (2024)
Hongrui Guo, Tianqi Sun, Hongzhi Liu, Zhonghai Wu: Adaptive Ensemble Learning with Category-Aware Attention and Local Contrastive Loss. IEEE Transactions on Circuits and Systems for Video Technology[J], https://doi.org/10.1109/TCSVT.2024.3479313) （2024）
李聪，梁俊凯，丁煜甲，沈晴霓，吴中海: 基于SM9的分层标识广播内积函数加密[J] 中国科学: 信息科学 54(6):1400-1418 (2024)
张齐勋，吴一凡，杨勇，贾统，李影，吴中海: 微服务系统服务依赖发现技术综述[J]. 软件学报，35(1):118-135 (2024)
2023年：
Xinyu Feng, Qingni Shen, Cong Li, Xuewei Wang, Niantao Xie, Luyuan Xie, Yuejian Fang, Zhonghai Wu: A Privacy Preserving Computer-aided Medical Diagnosis Framework with Outsourced Model[C]. IEEE BIBM 2023: 1080-1087
Luyuan Xie, Cong Li, Zirui Wang, Xin Zhang, Boyan Chen, Qingni Shen, Zhonghai Wu: SHISRCNet: Super-resolution And Classification Network for Low-resolution Breast Cancer Histopathology Image[C]. MICCAI 2023: 23-32.
Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu: Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation[C]. IEEE ICDM 2023: 974-979
Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu: Sequential Hypergraph Convolution Network for Next Item Recommendation[C]. DASFAA 2023:389-405
Shengfang Zhai, Qingni Shen, Xiaoyi Chen, Weilong Wang, Cong Li, Yuejian Fang, Zhonghai Wu，NCL: Textual Backdoor Defense Using Noise-augmented Contrastive Learning[C]. IEEE ICASSP 2023
Yutang Xia,Yang Luo,Wu Luo, Qingni Shen,Yahui Yang, Zhonghai Wu: A Role Engineering Approach based on Spectral Clustering Analysis for RESTful Permissions in Cloud[C]. IEEE ICASSP 2023
Chuntao Dong, Qingni Shen, Xuhua Ding, Daoqing Yu, Wu Luo, Pengfei Wu, Zhonghai Wu：T-Counter: Trustworthy and Efficient CPU Resource Measurement using SGX in the Cloud[J]. IEEE TDSC. 20(1):867-885 (2023)
Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu: Sequential ensemble learning for next item recommendation[J]. Knowledge-Based Systems. 277,110809:1-11 (2023)