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Feng Zhu 0011
Person information
- affiliation: Ant Group
- affiliation (former): Macquarie University, Sydney, NSW, Australia
Other persons with the same name
- Feng Zhu — disambiguation page
- Feng Zhu 0001 — Arizona State University, Department of Computer Science and Engineering, Tempe, AZ, USA (and 2 more)
- Feng Zhu 0002 — Radboud University Nijmegen, the Netherlands
- Feng Zhu 0003 — Central South University, School of Metallurgy and Environmental Employment, Changsha, China (and 1 more)
- Feng Zhu 0004 — Zhejiang University, College of Pharmaceutical Sciences, Hangzhou, China (and 2 more)
- Feng Zhu 0005 — University of Technology Sydney, Australia (and 1 more)
- Feng Zhu 0006 — SenseTime Group Ltd. (and 1 more)
- Feng Zhu 0007 — Foshan University, Department of Chemical Engineering, China
- Feng Zhu 0008 — Nanyang Technological University, School of Civil and Environmental Engineering, Singapore (and 1 more)
- Feng Zhu 0009 — National University of Defense Technology, College of Systems Engineering, Changsha, China
- Feng Zhu 0010 — University of Alabama in Huntsville, Department of Computer Science, AL, USA (and 1 more)
- Feng Zhu 0012 — Wuhan University, School of Geodesy and Geomatics, Hubei Luojia Laboratory, Wuhan, China
- Feng Zhu 0013 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Feng Zhu 0014 — Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing, Shenyang, China (and 2 more)
- Feng Zhu 0015 — Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, China (and 1 more)
- Feng Zhu 0016 — City University of Hong Kong, Department of Systems Engineering, Hong Kong (and 1 more)
- Feng Zhu 0017 — King's College London, UK
- Feng Zhu 0018 — Sun Yat-Sen University, School of Physics and Astronomy, Zhuhai, China (and 1 more)
- Feng Zhu 0019 — Chinese Academy of Sciences, National Time Service Center, Xi'an, China (and 2 more)
- Feng Zhu 0020 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Feng Zhu 0021 — Microsoft, Redmond, WA, USA (and 1 more)
- Feng Zhu 0022 — Nanjing University of Posts and Telecommunications, School of Communications and Information Engineering, Nanjing, China
- Feng Zhu 0023 — Harvard University, Harvard Business School, Boston, MA, USA (and 2 more)
- Feng Zhu 0024 — Alibaba Group, Hangzhou, China
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2020 – today
- 2024
- [j3]Qitao Shi, Ya-Lin Zhang, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang:
A distribution-free method for probabilistic prediction. Expert Syst. Appl. 237(Part B): 121396 (2024) - [c18]Feng Zhu, Xinxing Yang, Longfei Li, Jun Zhou:
An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations. ACM Multimedia 2024: 9680-9689 - [i8]Zhixuan Chu, Yan Wang, Feng Zhu, Lu Yu, Longfei Li, Jinjie Gu:
Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies. CoRR abs/2402.03628 (2024) - [i7]Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun:
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation. CoRR abs/2404.11180 (2024) - 2023
- [j2]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. 35(2): 1171-1184 (2023) - [c17]Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu:
AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. DASFAA (4) 2023: 477-489 - [c16]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c15]Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian:
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. ICWS 2023: 405-414 - [c14]Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun:
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. RecSys 2023: 515-527 - [c13]Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang:
ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. WSDM 2023: 1148-1151 - [i6]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i5]Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun:
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. CoRR abs/2307.13910 (2023) - [i4]Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian:
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. CoRR abs/2308.08071 (2023) - 2022
- [c12]Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou:
A Task-Aware Attention-Based Method for Improved Meta-Learning. APWeb/WAIM (2) 2022: 474-482 - [c11]Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang:
A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM 2022: 2393-2402 - [c10]Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu:
Semi-Supervised Learning with Data Augmentation for Tabular Data. CIKM 2022: 3928-3932 - [c9]Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang:
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. NeurIPS 2022 - 2021
- [c8]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI 2021: 4721-4728 - [i3]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR abs/2103.01696 (2021) - [i2]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2108.07976 (2021) - 2020
- [c7]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng:
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI 2020: 3001-3008 - [i1]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2009.06215 (2020)
2010 – 2019
- 2019
- [c6]Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng:
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM 2019: 1533-1542 - 2018
- [c5]Maryam Khani, Yan Wang, Mehmet A. Orgun, Feng Zhu:
Context-Aware Trustworthy Service Evaluation in Social Internet of Things. ICSOC 2018: 129-145 - [c4]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. IJCAI 2018: 3711-3717 - 2016
- [j1]Guanfeng Liu, Feng Zhu, Kai Zheng, An Liu, Zhixu Li, Lei Zhao, Xiaofang Zhou:
TOSI: A trust-oriented social influence evaluation method in contextual social networks. Neurocomputing 210: 130-140 (2016) - [c3]Feng Zhu, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, An Liu, Zhixu Li, Kai Zheng:
A Robust Approach to Finding Trustworthy Influencer in Trust-Oriented E-Commerce Environments. ICSOC 2016: 387-401 - 2015
- [c2]Feng Zhu, Guanfeng Liu, Yan Wang, An Liu, Zhixu Li, Pengpeng Zhao, Lei Li:
A Context-Aware Trust-Oriented Influencers Finding in Online Social Networks. ICWS 2015: 456-463 - 2014
- [c1]Feng Zhu, Guanfeng Liu, An Liu, Lei Zhao, Xiaofang Zhou:
An Evolution-Based Robust Social Influence Evaluation Method in Online Social Networks. WISE (2) 2014: 141-157
Coauthor Index
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