Pengpeng Zhao (赵朋朋)

Pengpeng Zhao (赵朋朋)

Soochow University

H-index: 26

Asia-China

About Pengpeng Zhao (赵朋朋)

Pengpeng Zhao (赵朋朋), With an exceptional h-index of 26 and a recent h-index of 25 (since 2020), a distinguished researcher at Soochow University, specializes in the field of Data Mining Mobile Intelligence Recommender System.

His recent articles reflect a diverse array of research interests and contributions to the field:

Safety: A spatial and feature mixed outlier detection method for big trajectory data

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation

Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation

Edge-enhanced global disentangled graph neural network for sequential recommendation

Meta-optimized contrastive learning for sequential recommendation

Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation

Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation

Sequential recommendation with diffusion models

Pengpeng Zhao (赵朋朋) Information

University

Position

Professor of Computer Science

Citations(all)

3518

Citations(since 2020)

3046

Cited By

1178

hIndex(all)

26

hIndex(since 2020)

25

i10Index(all)

56

i10Index(since 2020)

45

Email

University Profile Page

Soochow University

Google Scholar

View Google Scholar Profile

Pengpeng Zhao (赵朋朋) Skills & Research Interests

Data Mining Mobile Intelligence Recommender System

Top articles of Pengpeng Zhao (赵朋朋)

Title

Journal

Author(s)

Publication Date

Safety: A spatial and feature mixed outlier detection method for big trajectory data

Information Processing & Management

Yang Wu

Junhua Fang

Wei Chen

Pengpeng Zhao

Lei Zhao

2024/5/1

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation

Xiuyuan Qin

Huanhuan Yuan

Pengpeng Zhao

Guanfeng Liu

Fuzhen Zhuang

...

2024/3/4

Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation

ACM Transactions on Knowledge Discovery from Data

Chao Long

Huanhuan Yuan

Junhua Fang

Xuefeng Xian

Guanfeng Liu

...

2024/2/13

Edge-enhanced global disentangled graph neural network for sequential recommendation

ACM transactions on knowledge discovery from data

Yunyi Li

Yongjing Hao

Pengpeng Zhao

Guanfeng Liu

Yanchi Liu

...

2023/4/11

Meta-optimized contrastive learning for sequential recommendation

Xiuyuan Qin

Huanhuan Yuan

Pengpeng Zhao

Junhua Fang

Fuzhen Zhuang

...

2023/7/19

Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation

arXiv preprint arXiv:2310.13925

Yongjing Hao

Pengpeng Zhao

Junhua Fang

Jianfeng Qu

Guanfeng Liu

...

2023/10/21

Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation

World Wide Web

Huiwang Zhang

Pengpeng Zhao

Xuefeng Xian

Victor S Sheng

Yongjing Hao

...

2023/12/20

Sequential recommendation with diffusion models

arXiv preprint arXiv:2304.04541

Hanwen Du

Huanhuan Yuan

Zhen Huang

Pengpeng Zhao

Xiaofang Zhou

2023/4/10

Multi-dimensional graph neural network for sequential recommendation

Pattern Recognition

Yongjing Hao

Jun Ma

Pengpeng Zhao

Guanfeng Liu

Xuefeng Xian

...

2023/7/1

Quaternion-based graph convolution network for recommendation

World Wide Web

Yaxing Fang

Pengpeng Zhao

Guanfeng Liu

Yanchi Liu

Victor S Sheng

...

2023/9

Multi-Modality is All You Need for Transferable Recommender Systems

arXiv preprint arXiv:2312.09602

Youhua Li

Hanwen Du

Yongxin Ni

Pengpeng Zhao

Qi Guo

...

2023/12/15

Contrastive enhanced slide filter mixer for sequential recommendation

Xinyu Du

Huanhuan Yuan

Pengpeng Zhao

Junhua Fang

Guanfeng Liu

...

2023/4/3

Sequential recommendation with probabilistic logical reasoning

arXiv preprint arXiv:2304.11383

Huanhuan Yuan

Pengpeng Zhao

Xuefeng Xian

Guanfeng Liu

Victor S Sheng

...

2023/4/22

Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios

IEEE Transactions on Knowledge and Data Engineering (TKDE)

Shangfei Zheng

Wei Chen

Weiqing Wang

Pengpeng Zhao

Hongzhi Yin

...

2023/8/14

Dual-Supervised Contrastive Learning for Bundle Recommendation

IEEE Transactions on Computational Social Systems

Chuanjiu Wu

Huanhuan Yuan

Pengpeng Zhao

Jianfeng Qu

Victor S Sheng

...

2023/12/4

Disconnected emerging knowledge graph oriented inductive link prediction

Yufeng Zhang

Weiqing Wang

Hongzhi Yin

Pengpeng Zhao

Wei Chen

...

2023/4/3

Empowering a* algorithm with neuralized variational heuristics for fastest route recommendation

IEEE Transactions on Knowledge and Data Engineering

Minrui Xu

Jiajie Xu

Rui Zhou

Jianxin Li

Kai Zheng

...

2023/4/21

Ensemble modeling with contrastive knowledge distillation for sequential recommendation

Hanwen Du

Huanhuan Yuan

Pengpeng Zhao

Fuzhen Zhuang

Guanfeng Liu

...

2023/7/19

Learnable Model Augmentation Contrastive Learning for Sequential Recommendation

IEEE Transactions on Knowledge and Data Engineering

Yongjing Hao

Pengpeng Zhao

Xuefeng Xian

Guanfeng Liu

Lei Zhao

...

2023/11/9

Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation

IEEE Transactions on Knowledge and Data Engineering

Hanwen Du

Huanhuan Yuan

Pengpeng Zhao

Deqing Wang

Victor S Sheng

...

2023/12/28

See List of Professors in Pengpeng Zhao (赵朋朋) University(Soochow University)

Co-Authors

H-index: 88
Hui Xiong, Fellow of AAAS and IEEE

Hui Xiong, Fellow of AAAS and IEEE

Rutgers, The State University of New Jersey

H-index: 51
Fuzhen Zhuang (庄福振)

Fuzhen Zhuang (庄福振)

Beihang University

H-index: 45
Victor S. Sheng

Victor S. Sheng

Texas Tech University

H-index: 36
Guanfeng Liu

Guanfeng Liu

Macquarie University

H-index: 25
Zhixu Li

Zhixu Li

Soochow University

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