| 2026 | WWW | TGNN: Enhancing Pixel Tracking Detection via LLM-driven Annotation and GAT-powered Structural Representation. | Shenping Xiong, Xutong Wang, Ze Jin, Xinyu Liu, Haoqiang Wang, Zhen Chen, Ru Tan, Qixu Liu |
| 2026 | SP | C-Verifier: Understanding and Formally Verifying Cross-Service Flaws in AWS Cognito. | Zhen Chen, Ze Jin, Le Gong, Kexin Chen, Xiangyi Zeng, Qixu Liu |
| 2025 | KDD | Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion. | Yu Sun, Yin Li, Ruixiao Sun, Chunhui Liu, Fangming Zhou, Ze Jin, Linjie Wang, Xiang Shen, Zhuolin Hao, Hongyu Xiong |
| 2025 | MICCAI | GoCa: Trustworthy Multi-modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs. | Pengyu Dai, Yafei Ou, Yuqiao Yang, Ze Jin, Kenji Suzuki |
| 2025 | NDSS | Hidden and Lost Control: on Security Design Risks in IoT User-Facing Matter Controller. | Haoqiang Wang, Yiwei Fang, Yichen Liu, Ze Jin, Emma Delph, Xiaojiang Du, Qixu Liu, Luyi Xing |
| 2025 | RAID | RBAClock: Contain RBAC Permissions through Secure Scheduling. | Qingwang Chen, Ru Tan, Xinyu Liu, Yuqi Shu, Zhou Tong, Haoqiang Wang, Ze Jin, Qixu Liu |
| 2025 | WWW | Not All Benignware Are Alike: Enhancing Clean-Label Attacks on Malware Classifiers. | Xutong Wang, Yun Feng, Bingsheng Bi, Yaqin Cao, Ze Jin, Xinyu Liu, Yuling Liu, Yunpeng Li |
| 2025 | TrustCom | Chaos of Functionalities: Understanding Security Risks in Heterogeneity of IoT Matter Controllers. | Yiwei Fang, Haoqiang Wang, Ze Jin, Qixu Liu |
| 2023 | ACSAC | ANDetect: A Third-party Ad Network Libraries Detection Framework for Android Applications. | Xinyu Liu, Ze Jin, Jiaxi Liu, Wei Liu, Xiaoxi Wang, Qixu Liu |
| 2023 | DSN | Tabby: Automated Gadget Chain Detection for Java Deserialization Vulnerabilities. | Xingchen Chen, Baizhu Wang, Ze Jin, Yun Feng, Xianglong Li, Xincheng Feng, Qixu Liu |
| 2023 | MICCAI | Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models. | Ze Jin, Maolin Pang, Yuqiao Yang, Fahad Parvez Mahdi, Tianyi Qu, Ren Sasage, Kenji Suzuki |
| 2022 | CCS | P-Verifier: Understanding and Mitigating Security Risks in Cloud-based IoT Access Policies. | Ze Jin, Luyi Xing, Yiwei Fang, Yan Jia, Bin Yuan, Qixu Liu |
| 2022 | MICCAI | Federated Tumor Segmentation with Patch-Wise Deep Learning Model. | Yuqiao Yang, Ze Jin, Kenji Suzuki |
| 2022 | SMC | FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis. | Zhipeng Deng, Yuqiao Yang, Kenji Suzuki, Ze Jin |
| 2020 | ICDE | Approximate Quantiles for Datacenter Telemetry Monitoring. | Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon |
| 2019 | ICMLA | Independent Component Analysis Based on Mutual Dependence Measures. | Ze Jin, David S. Matteson, Tianrong Zhang |
| 2019 | NSDI | NetBouncer: Active Device and Link Failure Localization in Data Center Networks. | Cheng Tan, Ze Jin, Chuanxiong Guo, Tianrong Zhang, Haitao Wu, Karl Deng, Dongming Bi, Dong Xiang |
| 2018 | UAI | Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence. | Ze Jin, Xiaohan Yan, David S. Matteson |