Journal

[J] FAVDisco: Modeling and Discovering File Access Vulnerabilities.
Beibei Zhao, Wenjie Feng, Qingli Guo, Yingli Sun, Fangming Gu, Bolun Zhang, Xiaorui Gong, Hong Li.
Transactions on Software Engineering and Methodology (TOSEM).
[ paper | code and datasets | bib ]

[J] Interrelated Dense Pattern Detection in Multilayer Networks.
Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, and Shenghua Liu.
IEEE Transactions on Knowledge and Data Engineering (TKDE).
[ paper | code and datasets | bib]

[J] Unified Dense Subgraph Detection: Fast Spectral Theory-based Algorithms.
Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng.
IEEE Transactions on Knowledge and Data Engineering (TKDE).
[ paper | code and datasets | bib]

[J] Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning.
Naibo Wang, Wenjie Feng#, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng.
Transactions on Machine Learning Research (TMLR).
[ paper | code and datasets | bib]

[J] Hierarchical Dense Pattern Detection in Tensors.
Wenjie Feng, Shenghua Liu, Xueqi Cheng.
Transactions on Knowledge Discovery (TKDD).
[paper | code and datasets | bib]

[J] Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation.
Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi.
Transactions on Machine Learning Research (TMLR).
[paper | code and datasets | bib]

[J] EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, and Xueqi Cheng.
Future Generation Computer Systems (FGCS).
[paper | code and datasets | bib]

[J] Transfer Learning with Dynamic Distribution Adaptation.
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang.
ACM Transactions on Intelligent Systems and Technology (TIST).
[paper | code and datasets | bib]

Conference

[C] REmpowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning.
Lin Li, Jiawei Huang, Qihao Quan, Dan Li, Boxin Li, Xiao Zhang, Erli Meng, Wenjie Feng, Jian Lou, See-Kiong Ng..
ACM International Conference on Multimedia. ACM MM 2026.
[ paper | code | bib ]

[CW] Towards Effective LLM Reasoning for Time Series Classification.
Jiahui Zhou, Dan Li, Wenjie Feng, Lin Li, Jian Lou, See-Kiong Ng.
The 2nd ICML Workshop on Foundation Models for Structured Data, FMSD @ ICML 2026.
[ paper | code| bib]

[C] Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment.
Shunyu Wu, Dan Li, Wenjie Feng, Haozheng Ye, Jian Lou, See-Kiong Ng.
The Fourteenth International Conference on Learning Representations. ICLR 2026.
[ paper | code| bib]

[C] Rethinking Machine Unlearning in Image Generation Models.
Renyang Liu, Wenjie Feng*#, Tanwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong NG.
ACM Conference on Computer and Communications Security. CCS 2025.
[ paper | code| bib]

[C] Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng.
The 63rd Annual Meeting of the Association for Computational Linguistics. ACL 2025.
[ paper | code| bib]

[C] Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract).
Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, and Shenghua Liu.
IEEE International Conference on Data Engineering. ICDE 2025.
[ paper | code | bib]

[C] Densest Subgraph Fast-searching and Decomposition with Local Optimality.
Yugao Zhu, Shenghua Liu, Wenjie Feng#, Xueqi Cheng.
[ paper | pre-print | code and datasets | bib]

[C] ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.
Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi
Thirty-eighth Annual Conference on Neural Information Processing Systems. NeurIPS 2024.
[ paper | ArXiv | code and datasets | bib]

[C] One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity.
Naibo Wang, Yuchen Deng, Wenjie Feng#, Shichen Fan, Jianwei Yin, See-Kiong Ng.
The 32nd ACM International Conference on Multimedia. ACM Multimedia . ACM MM 2024.
[ paper | ArXiv | code and datasets | bib]

[C] SemRode: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks.
Brian Formento, Wenjie Feng#, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng.
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics. NAACL 2024.
[ paper | ArXiv | code and datasets | bib]

[C] Towards Better Graph Representation Learning with Parameterized Decomposition \& Filtering.
Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi.
Proceedings of the 40th International Conference on Machine Learning. ICML 2023.
[ paper |code and datasets | bib]

[D&P] EasySpider: A No-Code Visual System for Crawling the Web.
Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng.
Proceedings of the ACM Web Conference. The WebConf Demo & Poster 2023.
[paper | code | video | bib]

[C] MonLAD: Money Laundering Agents Detection in Transaction Streams.
Xiaobing Sun*, Wenjie Feng*, Shenghua Liu, Yuyang Xie, Bryan Hooi, Wenhan Wang, and Xueqi Cheng.
The 15th International Conference on Web Search and Data Mining. WSDM 2022.
[paper | slides | video | code and datasets | bib]

[C] AdaRNN: Adaptive Learning and Forecasting of Time Series.
Yuntao Du, Jindong Wang, Wenjie Feng#, Sinno Pan, Tao Qin, Renjun Xu, Chongjun Wang.
The 30th ACM International Conference on Information and Knowledge Management . CIKM 2021.
[paper | video | code and datasets | bib]

[C] SpecGreedy: Unified Dense Subgraph Detection.
Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, and Xueqi Cheng.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML-PKDD 2020. (Best DM Student Paper Award).
[paper | slides | appendix | video | code and datasets | bib]

[C] CachCore: Catching Hierarchical Dense Subtensor.
Wenjie Feng, Shenghua Liu, Xueqi Cheng.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Long Talk). ECML-PKDD 2019.
[paper | slides | appendix | poster | code and datasets | bib]

[C] Beyond outliers and on to micro-clusters: Vision-guided anomaly detection.
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, and Xueqi Cheng.
The 23rd Pacific-Asia Conference in Knowledge Discovery and Data Mining (Long Talk). PAKDD 2019.
[paper | slides | appendix | poster | code and datasets | bib]

[C] EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation.
Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng.
The 23rd Pacific-Asia Conference in Knowledge Discovery and Data Mining (Long Talk). PAKDD 2019.
[paper | slides | appendix | poster | code and datasets | bib]

[C] Visual Domain Adaptation with Manifold Embedded Distribution Alignment.
Jindong Wang*, Wenjie Feng*, Yiqiang, Chen, Han Yu, Philip S Yu.
The 26th ACM International Conference on Multimedia. ACM Multimedia (Long Talk). ACM MM 2018.
[paper | slides | code and datasets | bib]

[CW] EagleMine: Vision-Guided Mining in Large Graphs.
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, and Xueqi Cheng.
KDD Outlier Detection De-constructed (ODD) Workshop (Long Talk). KDD ODDv5.0 2018.
[paper | slides | appendix | poster | code and datasets | bib]

[C] Balanced Distribution Adaptation for Transfer Learning.
Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen.
IEEE International Conference on Data Mining (Short) . ICDM 2017.
[paper | slides | code and datasets | bib]

Technical reports

Learning Invariant Representations across Domains and Tasks.
Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu.
arXiv Pre-print CoRR .

Learning to Match Distributions for Domain Adaptation.
Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu.
arXiv Pre-print CoRR .

Dissertation (Chinese)

Feng Wenjie . Collective Anomaly Pattern Mining in Large-Scale Graph Data (In Chinese)

[* denotes equal contribution, # denotes corresponding author]