| 2026 | ACL | JPU: Bridging Jailbreak Defense and Unlearning via On-Policy Path Rectification. | Xi Wang, Songlei Jian, Shasha Li, Xiaopeng Li, Zhaoye Li, Bin Ji, Baosheng Wang, Jie Yu |
| 2025 | ACL | BadWindtunnel: Defending Backdoor in High-noise Simulated Training with Confidence Variance. | Ruyi Zhang, Songlei Jian, Yusong Tan, Heng Gao, Haifang Zhou, Kai Lu |
| 2025 | CIKM | MetaCAN: Improving Generalizability of Few-shot Anomaly Detection with Meta-learning. | Zhisheng Lv, Jianfeng Zhang, Songlei Jian, Chenlin Huang, Hongguang Zhang, Guansong Pang, Zhong Liu |
| 2025 | CSCWD | Enhancing Graph Neural Networks for Graph Classification via Structure-Guided Adaptor. | Wen Yin, Yiqi Wang, Jiaxin Zhang, Yu Shi, Ruichao Ren, Songlei Jian, Jianfeng Zhang, Yan Ding |
| 2025 | EMNLP | Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience. | Xi Wang, Songlei Jian, Shasha Li, Xiaopeng Li, Bin Ji, Ma Jun, Xiaodong Liu, Jing Wang, Jianfeng Zhang, Jie Yu, Feilong Bao, Wangbaosheng |
| 2025 | ICASSP | Frequency-enhanced Comprehensive Dependency Attention for Time Series Anomaly Detection. | Haonan Chen, Hongzuo Xu, Songlei Jian, Ruyi Zhang, Xingming Li, Zibo Yi |
| 2025 | ICASSP | Gated Cross-Attention Network for Depth Completion. | Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang |
| 2025 | IJCNN | MOVie: GPU Memory Optimization for Large-Scale DNNs Training with Virtual Memory Management. | Zijun Ma, Jiabao Tang, Songlei Jian, Jianfeng Zhang, Yusong Tan |
| 2024 | CSCWD | MACA: Memory-aware convolution accelerating for CNN inference on edge devices. | Chaoxiong Yi, Songlei Jian, Yusong Tan, Yusen Zhang |
| 2024 | ICASSP | DGLP: Incorporating Orientation Information for Enhanced Link Prediction in Directed Graphs. | Yusen Zhang, Yusong Tan, Songlei Jian, Qingbo Wu, Kenli Li |
| 2024 | ICDE | Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). | Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu |
| 2024 | SMC | HMO: Host Memory Optimization for Model Inference Acceleration on Edge Devices. | Chaoxiong Yi, Songlei Jian, Yusong Tan, Yusen Zhang |
| 2023 | ICASSP | MRML: Multimodal Rumor Detection by Deep Metric Learning. | Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen |
| 2023 | ICML | Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. | Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu |
| 2023 | ISSRE | LogRep: Log-based Anomaly Detection by Representing both Semantic and Numeric Information in Raw Messages. | Xiaoda Xie, Songlei Jian, Chenlin Huang, Fengyuan Yu, Yunjia Deng |
| 2022 | CIKM | Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. | Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu |
| 2022 | IJCNN | Evaluation Ranking is More Important for NAS. | Yusen Zhang, Bao Li, Yusong Tan, Songlei Jian |
| 2021 | CVPR | Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. | Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr |
| 2021 | IJCNN | Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. | Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian |
| 2021 | WWW | Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. | Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li |
| 2020 | AAAI | Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. | Songlei Jian, Liang Hu, Longbing Cao, Kai Lu |
| 2019 | AAAI | HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. | Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan |
| 2019 | AAAI | Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. | Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao |
| 2018 | AAAI | Metric-Based Auto-Instructor for Learning Mixed Data Representation. | Songlei Jian, Liang Hu, Longbing Cao, Kai Lu |
| 2018 | IJCAI | Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. | Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen |
| 2017 | IJCAI | Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. | Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao |
| 2016 | ADMA | Unified Weighted Label Propagation Algorithm Using Connection Factor. | Xin Wang, Songlei Jian, Kai Lu, Xiaoping Wang |