An Evolution-Based Robust Social Influence Evaluation Method in Online Social Networks. - Feng Zhu 011; Guanfeng Liu 001; An Liu 002; Lei Zhao 001; Xiaofang Zhou 001 (WISE (2), 2014)

A Context-Aware Trust-Oriented Influencers Finding in Online Social Networks. - Feng Zhu 011; Guanfeng Liu 001; Yan Wang 002; An Liu 002; Zhixu Li; Pengpeng Zhao 001; Lei Li 002 (ICWS, 2015)

A Robust Approach to Finding Trustworthy Influencer in Trust-Oriented E-Commerce Environments. - Feng Zhu 011; Guanfeng Liu 001; Yan Wang 002; Mehmet A. Orgun; An Liu 002; Zhixu Li; Kai Zheng 001 (ICSOC, 2016)

TOSI: A trust-oriented social influence evaluation method in contextual social networks. - Guanfeng Liu 001; Feng Zhu 011; Kai Zheng 001; An Liu 002; Zhixu Li; Lei Zhao 001; Xiaofang Zhou 001 (Neurocomputing, 2016)

On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach. - Jing Zhao; Jiajie Xu 001; Rui Zhou 001; Pengpeng Zhao 001; Chengfei Liu; Feng Zhu 011 (CIKM, 2018)

Context-Aware Trustworthy Service Evaluation in Social Internet of Things. - Maryam Khani; Yan Wang 002; Mehmet A. Orgun; Feng Zhu 011 (ICSOC, 2018)

A Deep Framework for Cross-Domain and Cross-System Recommendations. - Feng Zhu 011; Yan Wang 002; Chaochao Chen 001; Guanfeng Liu 001; Mehmet A. Orgun; Jia Wu 001 (IJCAI, 2018)

DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. - Feng Zhu 011; Chaochao Chen 001; Yan Wang 002; Guanfeng Liu 001; Xiaolin Zheng (CIKM, 2019)

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. - Feng Zhu 011; Yan Wang 002; Chaochao Chen 001; Guanfeng Liu 001; Xiaolin Zheng (IJCAI, 2020)

Cross-Domain Recommendation: Challenges, Progress, and Prospects. - Feng Zhu 011; Yan Wang 002; Chaochao Chen 001; Jun Zhou 011; Longfei Li; Guanfeng Liu 001 (IJCAI, 2021)

A Task-Aware Attention-Based Method for Improved Meta-Learning. - Yue Zhang; Xinxing Yang; Feng Zhu 011; Yalin Zhang 001; Meng Li; Qitao Shi; Longfei Li; Jun Zhou 011 (APWeb/WAIM (2), 2022)

A Biased Sampling Method for Imbalanced Personalized Ranking. - Lu Yu 006; Shichao Pei; Feng Zhu 011; Longfei Li; Jun Zhou 011; Chuxu Zhang; Xiangliang Zhang 001 (CIKM, 2022)

Semi-Supervised Learning with Data Augmentation for Tabular Data. - Jun-Peng Fang; Caizhi Tang; Qing Cui; Feng Zhu 011; Longfei Li; Jun Zhou 011; Wei Zhu (CIKM, 2022)

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. - Caizhi Tang; Huiyuan Wang; Xinyu Li; Qing Cui; Ya-Lin Zhang 001; Feng Zhu 011; Longfei Li; Jun Zhou 011; Linbo Jiang (NeurIPS, 2022)

AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. - Jun Zhou 011; Qitao Shi; Yi Ding 006; Lin Wang 098; Longfei Li; Feng Zhu 011 (DASFAA (4), 2023)

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. - Feng Zhu 011; Mingjie Zhong; Xinxing Yang; Longfei Li; Lu Yu 006; Tiehua Zhang; Jun Zhou 011; Chaochao Chen 001; Fei Wu 001; Guanfeng Liu 001; Yan Wang 002 (ICDE, 2023)

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. - Xiaolin Zheng; Zhongyu Wang; Chaochao Chen 001; Feng Zhu 011; Jiashu Qian (ICWS, 2023)

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. - Jiajie Zhu 001; Yan Wang 002; Feng Zhu 011; Zhu Sun 001 (RecSys, 2023)

ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. - Jun Zhou 011; Ke Zhang; Feng Zhu 011; Qitao Shi; Wenjing Fang; Lin Wang 098; Yi Wang 141 (WSDM, 2023)

A Unified Framework for Cross-Domain and Cross-System Recommendations. - Feng Zhu 011; Yan Wang 002; Jun Zhou 011; Chaochao Chen 001; Longfei Li; Guanfeng Liu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. - Yue Zhang; Xinxing Yang; Feng Zhu 011; Longfei Li; Linbo Jiang; Jun Zhou 011 (DASFAA (7), 2024)

An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations. - Feng Zhu 011; Xinxing Yang; Longfei Li; Jun Zhou 011 (ACM Multimedia, 2024)

Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies. - Zhixuan Chu; Yan Wang 002; Feng Zhu 011; Lu Yu 006; Longfei Li; Jinjie Gu (CoRR, 2024)

A distribution-free method for probabilistic prediction. - Qitao Shi; Ya-Lin Zhang 001; Lu Yu 006; Feng Zhu 011; Longfei Li; Jun Zhou 011; Yanming Fang (Expert Syst. Appl., 2024)

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation. - Jiajie Zhu 001; Yan Wang 002; Feng Zhu 011; Pengfei Ding 001; Hongyang Liu; Zhu Sun 001 (CoRR, 2025)

Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation. - Jiajie Zhu 001; Yan Wang 002; Feng Zhu 011; Zhu Sun 001 (ACM Trans. Inf. Syst., 2025)