Bo Chen

Bo Chen

Shanghai Jiao Tong University

H-index: 13

Asia-China

About Bo Chen

Bo Chen, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Recommender Systems, Computational Advertising, Deep Learning.

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

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models

AutoML for Deep Recommender Systems: Fundamentals and Advances

Single-shot Feature Selection for Multi-task Recommendations

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction

Bo Chen Information

University

Position

Noah's Ark Lab Huawei;

Citations(all)

498

Citations(since 2020)

497

Cited By

49

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Shanghai Jiao Tong University

Google Scholar

View Google Scholar Profile

Bo Chen Skills & Research Interests

Recommender Systems

Computational Advertising

Deep Learning

Top articles of Bo Chen

Title

Journal

Author(s)

Publication Date

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

arXiv preprint arXiv:2403.12660

Pengyue Jia

Yejing Wang

Zhaocheng Du

Xiangyu Zhao

Yichao Wang

...

2024/3/19

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation

arXiv preprint arXiv:2403.03536

Hangyu Wang*

Jianghao Lin*

Bo Chen

Yang Yang

Ruiming Tang

...

2024/3/6

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation

Yuhao Wang

Ziru Liu

Yichao Wang

Xiangyu Zhao

Bo Chen

...

2024/3/4

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation

Knowledge and Information Systems

Ziru Liu

Kecheng Chen

Fengyi Song

Bo Chen

Xiangyu Zhao

...

2024/1

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models

arXiv preprint arXiv:2403.16378

Yunjia Xi

Weiwen Liu

Jianghao Lin

Chuhan Wu

Bo Chen

...

2024/3/25

AutoML for Deep Recommender Systems: Fundamentals and Advances

Ruiming Tang

Bo Chen

Yejing Wang

Huifeng Guo

Yong Liu

...

2023/2/27

Single-shot Feature Selection for Multi-task Recommendations

Yejing Wang

Zhaocheng Du

Xiangyu Zhao

Bo Chen

Huifeng Guo

...

2023/7/19

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction

Yujun Li*

Xing Tang*

Bo Chen*

Yimin Huang

Ruiming Tang

...

2023/9/14

FLIP: Towards Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

arXiv preprint arXiv:2310.19453

Hangyu Wang*

Jianghao Lin*

Xiangyang Li

Bo Chen

Chenxu Zhu

...

2023/10/30

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System

Chenxu Zhu

Bo Chen

Huifeng Guo

Hang Xu

Xiangyang Li

...

2023/2/27

Towards open-world recommendation with knowledge augmentation from large language models

arXiv preprint arXiv:2306.10933

Yunjia Xi

Weiwen Liu

Jianghao Lin

Jieming Zhu

Bo Chen

...

2023/6/19

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation

arXiv preprint arXiv:2309.02061

Jingtong Gao

Bo Chen

Menghui Zhu

Xiangyu Zhao

Xiaopeng Li

...

2023/9/5

DFFM: Domain Facilitated Feature Modeling for CTR Prediction

Wei Guo

Chenxu Zhu

Fan Yan

Bo Chen

Weiwen Liu

...

2023/10/21

Multi-task deep recommender systems: A survey

Yuhao Wang

Ha Tsz Lam

Yi Wong

Ziru Liu

Xiangyu Zhao

...

2023/2/7

How Can Recommender Systems Benefit from Large Language Models: A Survey

arXiv preprint arXiv:2306.05817

Jianghao Lin

Xinyi Dai

Yunjia Xi

Weiwen Liu

Bo Chen

...

2023/6/9

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

Jianghao Lin

Rong Shan

Chenxu Zhu

Kounianhua Du

Bo Chen

...

2023/8/22

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising

Weitong Ou

Bo Chen

Weiwen Liu

Xinyi Dai

Weinan Zhang

...

2023/10/21

CTRL: Connect Tabular and Language Model for CTR Prediction

arXiv preprint arXiv:2306.02841

Xiangyang Li*

Bo Chen*

Lu Hou

Ruiming Tang

2023/6/5

Deep landscape forecasting in multi-slot real-time bidding

Weitong Ou

Bo Chen

Yingxuan Yang

Xinyi Dai

Weiwen Liu

...

2023/8/6

Hamur: Hyper adapter for multi-domain recommendation

Xiaopeng Li

Fan Yan

Xiangyu Zhao

Yichao Wang

Bo Chen

...

2023/10/21

See List of Professors in Bo Chen University(Shanghai Jiao Tong University)

Co-Authors

H-index: 87
Xiangnan He

Xiangnan He

University of Science and Technology of China

H-index: 86
Yong Yu (俞勇)

Yong Yu (俞勇)

Shanghai Jiao Tong University

H-index: 64
Weinan Zhang

Weinan Zhang

Shanghai Jiao Tong University

H-index: 26
Xiangyu Zhao

Xiangyu Zhao

Michigan State University

H-index: 15
XIN XIN

XIN XIN

University of Glasgow

H-index: 12
Jiarui Qin

Jiarui Qin

Shanghai Jiao Tong University

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