Feng Zhu

According to our database, Feng Zhu authored at least 23 papers between 2014 and 2024.

Collaborative distances:

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

2024

A distribution-free method for probabilistic prediction.

Qitao Shi, Ya-Lin Zhang, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang

Expert Syst. Appl., March, 2024

Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation.

Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun

CoRR, 2024

Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies.

Zhixuan Chu, Yan Wang, Feng Zhu, Lu Yu, Longfei Li, Jinjie Gu

CoRR, 2024

An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations.

Feng Zhu, Xinxing Yang, Longfei Li, Jun Zhou

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

2023

A Unified Framework for Cross-Domain and Cross-System Recommendations.

Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu

IEEE Trans. Knowl. Data Eng., 2023

ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling.

Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation.

Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks.

Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian

Proceedings of the IEEE International Conference on Web Services, 2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.

Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data.

Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.

Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semi-Supervised Learning with Data Augmentation for Tabular Data.

Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Biased Sampling Method for Imbalanced Personalized Ranking.

Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Task-Aware Attention-Based Method for Improved Meta-Learning.

Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Cross-Domain Recommendation: Challenges, Progress, and Prospects.

Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation.

Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

DTCDR: A Framework for Dual-Target Cross-Domain Recommendation.

Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Deep Framework for Cross-Domain and Cross-System Recommendations.

Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Context-Aware Trustworthy Service Evaluation in Social Internet of Things.

Maryam Khani, Yan Wang, Mehmet A. Orgun, Feng Zhu

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2016

TOSI: A trust-oriented social influence evaluation method in contextual social networks.

Guanfeng Liu, Feng Zhu, Kai Zheng, An Liu, Zhixu Li, Lei Zhao, Xiaofang Zhou

Neurocomputing, 2016

A Robust Approach to Finding Trustworthy Influencer in Trust-Oriented E-Commerce Environments.

Feng Zhu, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, An Liu, Zhixu Li, Kai Zheng

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

2015

A Context-Aware Trust-Oriented Influencers Finding in Online Social Networks.

Feng Zhu, Guanfeng Liu, Yan Wang, An Liu, Zhixu Li, Pengpeng Zhao, Lei Li

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2014

An Evolution-Based Robust Social Influence Evaluation Method in Online Social Networks.

Feng Zhu, Guanfeng Liu, An Liu, Lei Zhao, Xiaofang Zhou

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014