Wenjie Feng

According to our database, Wenjie Feng authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interrelated Dense Pattern Detection in Multilayer Networks.

Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu

IEEE Trans. Knowl. Data Eng., November, 2024

Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms.

Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng

IEEE Trans. Knowl. Data Eng., March, 2024

Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory.

Naibo Wang, Yuchen Deng, Wenjie Feng, Jianwei Yin, See-Kiong Ng

CoRR, 2024

Graph Descriptive Order Improves Reasoning with Large Language Model.

Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng

CoRR, 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Hierarchical Dense Pattern Detection in Tensors.

Wenjie Feng, Shenghua Liu, Xueqi Cheng

ACM Trans. Knowl. Discov. Data, July, 2023

Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning.

Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng

Trans. Mach. Learn. Res., 2023

Fast Searching The Densest Subgraph And Decomposition With Local Optimality.

Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng

CoRR, 2023

Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market.

Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng

CoRR, 2023

EasySpider: A No-Code Visual System for Crawling the Web.

Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering.

Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Trans. Mach. Learn. Res., 2022

MonLAD: Money Laundering Agents Detection in Transaction Streams.

Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.

Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng

Future Gener. Comput. Syst., 2021

Learning Invariant Representations across Domains and Tasks.

Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu

CoRR, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.

Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Transfer Learning with Dynamic Distribution Adaptation.

Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang

ACM Trans. Intell. Syst. Technol., 2020

Learning to Match Distributions for Domain Adaptation.

Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu

CoRR, 2020

SpecGreedy: Unified Dense Subgraph Detection.

Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

CatchCore: Catching Hierarchical Dense Subtensor.

Wenjie Feng, Shenghua Liu, Xueqi Cheng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation.

Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection.

Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

Visual Domain Adaptation with Manifold Embedded Distribution Alignment.

Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017

EagleMine: Vision-Guided Mining in Large Graphs.

Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng

CoRR, 2017

Balanced Distribution Adaptation for Transfer Learning.

Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017