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Wenjie Feng 0001
Person information
- affiliation: National University of Singapore, Singapore
- affiliation (Ph.D.): Institute of Computing Techonogy, Chinese Academic of Sciences, China
Other persons with the same name
- Wenjie Feng 0002 — South China University of Technology, Guangzhou, China
- Wenjie Feng 0003 — Shijiazhuang Tiedao University, Shijiazhuang, China
- Wenjie Feng 0004 — Shandong Academy of Agricultural Sciences, Jinan, Shandong, China
- Wenjie Feng 0005 — China University of Petroleum, Beijing, China
- Wenjie Feng 0006 — Jining Academy of Agricultural Science, China
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2020 – today
- 2024
- [j7]Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36(3): 1356-1370 (2024) - [j6]Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu:
Interrelated Dense Pattern Detection in Multilayer Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6462-6476 (2024) - [c12]Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng:
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. ACM Multimedia 2024: 5201-5210 - [c11]Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng:
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks. NAACL-HLT 2024: 8005-8028 - [i16]Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng:
Graph Descriptive Order Improves Reasoning with Large Language Model. CoRR abs/2402.07140 (2024) - [i15]Brian Formento, Wenjie Feng, Chuan Sheng Foo, Luu Anh Tuan, See-Kiong Ng:
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks. CoRR abs/2403.18423 (2024) - [i14]Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng:
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. CoRR abs/2404.12130 (2024) - [i13]Naibo Wang, Yuchen Deng, Wenjie Feng, Jianwei Yin, See-Kiong Ng:
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory. CoRR abs/2405.17457 (2024) - 2023
- [j5]Wenjie Feng, Shenghua Liu, Xueqi Cheng:
Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data 17(6): 81:1-81:29 (2023) - [j4]Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng:
Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c10]Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi:
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. ICML 2023: 39234-39251 - [c9]Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng:
EasySpider: A No-Code Visual System for Crawling the Web. WWW (Companion Volume) 2023: 192-195 - [i12]Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng:
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market. CoRR abs/2302.11751 (2023) - [i11]Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi:
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. CoRR abs/2305.06102 (2023) - [i10]Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng:
Fast Searching The Densest Subgraph And Decomposition With Local Optimality. CoRR abs/2307.15969 (2023) - 2022
- [j3]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. Trans. Mach. Learn. Res. 2022 (2022) - [c8]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM 2022: 976-986 - [i9]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR abs/2201.10051 (2022) - [i8]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. CoRR abs/2211.16466 (2022) - 2021
- [j2]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [c7]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM 2021: 402-411 - [i7]Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu:
Learning Invariant Representations across Domains and Tasks. CoRR abs/2103.05114 (2021) - [i6]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR abs/2108.04443 (2021) - 2020
- [j1]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. ACM Trans. Intell. Syst. Technol. 11(1): 6:1-6:25 (2020) - [c6]Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) 2020: 181-197 - [i5]Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu:
Learning to Match Distributions for Domain Adaptation. CoRR abs/2007.10791 (2020)
2010 – 2019
- 2019
- [c5]Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng:
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. PAKDD (2) 2019: 501-513 - [c4]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c3]Wenjie Feng, Shenghua Liu, Xueqi Cheng:
CatchCore: Catching Hierarchical Dense Subtensor. ECML/PKDD (1) 2019: 156-172 - [i4]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. CoRR abs/1909.08531 (2019) - 2018
- [c2]Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu:
Visual Domain Adaptation with Manifold Embedded Distribution Alignment. ACM Multimedia 2018: 402-410 - [i3]Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen:
Balanced Distribution Adaptation for Transfer Learning. CoRR abs/1807.00516 (2018) - [i2]Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu:
Visual Domain Adaptation with Manifold Embedded Distribution Alignment. CoRR abs/1807.07258 (2018) - 2017
- [c1]Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen:
Balanced Distribution Adaptation for Transfer Learning. ICDM 2017: 1129-1134 - [i1]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-Guided Mining in Large Graphs. CoRR abs/1710.08756 (2017)
Coauthor Index
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last updated on 2024-11-07 20:28 CET by the dblp team
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