Wenjie Feng

42 papers A* 7A 2Journal 26Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
FAVDisco: Modeling and Discovering File Access Vulnerabilities.
ACM Trans. Softw. Eng. Methodol.
Beibei Zhao, Wenjie Feng, Qingli Guo, Yingli Sun, Fangming Gu, Bolun Zhang, Xiaorui Gong, Hong Li
2025 — conf
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
ACL (1)
Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng
2025 A* conf
Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract).
ICDE
Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenhua Liu
2025 A* conf
Rethinking Machine Unlearning in Image Generation Models.
CCS
Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng
2025 J jnl
Rethinking Machine Unlearning in Image Generation Models.
CoRR
Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng
2024 J jnl
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory.
CoRR
Naibo Wang, Yuchen Deng, Wenjie Feng, Jianwei Yin, See-Kiong Ng
2024 J jnl
Graph Descriptive Order Improves Reasoning with Large Language Model.
CoRR
Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng
2024 A* conf
ID
NeurIPS
Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi
2024 J jnl
ID
CoRR
Shen Li, Jianqing Xu, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Wenjie Feng, Shouhong Ding, Bryan Hooi
2024 J jnl
Interrelated Dense Pattern Detection in Multilayer Networks.
IEEE Trans. Knowl. Data Eng.
Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu
2024 A* conf
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity.
ACM Multimedia
Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng
2024 J jnl
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity.
CoRR
Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng
2024 J jnl
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks.
CoRR
Brian Formento, Wenjie Feng, Chuan Sheng Foo, Luu Anh Tuan, See-Kiong Ng
2024 — conf
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks.
NAACL-HLT
Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng
2024 J jnl
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms.
IEEE Trans. Knowl. Data Eng.
Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng
2023 J jnl
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market.
CoRR
Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng
2023 J jnl
Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning.
Trans. Mach. Learn. Res.
Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng
2023 — conf
EasySpider: A No-Code Visual System for Crawling the Web.
WWW (Companion Volume)
Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng
2023 J jnl
Fast Searching The Densest Subgraph And Decomposition With Local Optimality.
CoRR
Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng
2023 J jnl
Hierarchical Dense Pattern Detection in Tensors.
ACM Trans. Knowl. Discov. Data
Wenjie Feng, Shenghua Liu, Xueqi Cheng
2023 A* conf
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering.
ICML
Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
2023 J jnl
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering.
CoRR
Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
2022 J jnl
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation.
CoRR
Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi
2022 J jnl
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation.
Trans. Mach. Learn. Res.
Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi
2022 A conf
MonLAD: Money Laundering Agents Detection in Transaction Streams.
WSDM
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022 J jnl
MonLAD: Money Laundering Agents Detection in Transaction Streams.
CoRR
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2021 A conf
AdaRNN: Adaptive Learning and Forecasting of Time Series.
CIKM
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021 J jnl
AdaRNN: Adaptive Learning and Forecasting of Time Series.
CoRR
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021 J jnl
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.
Future Gener. Comput. Syst.
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2021 J jnl
Learning Invariant Representations across Domains and Tasks.
CoRR
Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu
2020 J jnl
Learning to Match Distributions for Domain Adaptation.
CoRR
Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu
2020 — conf
SpecGreedy: Unified Dense Subgraph Detection.
ECML/PKDD (1)
Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
2020 J jnl
Transfer Learning with Dynamic Distribution Adaptation.
ACM Trans. Intell. Syst. Technol.
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang
2019 — conf
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection.
PAKDD (1)
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2019 — conf
CatchCore: Catching Hierarchical Dense Subtensor.
ECML/PKDD (1)
Wenjie Feng, Shenghua Liu, Xueqi Cheng
2019 — conf
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation.
PAKDD (2)
Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng
2019 J jnl
Transfer Learning with Dynamic Distribution Adaptation.
CoRR
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang
2018 J jnl
Balanced Distribution Adaptation for Transfer Learning.
CoRR
Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen
2018 A* conf
Visual Domain Adaptation with Manifold Embedded Distribution Alignment.
ACM Multimedia
Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu
2018 J jnl
Visual Domain Adaptation with Manifold Embedded Distribution Alignment.
CoRR
Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu
2017 A* conf
Balanced Distribution Adaptation for Transfer Learning.
ICDM
Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen
2017 J jnl
EagleMine: Vision-Guided Mining in Large Graphs.
CoRR
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng