Bin CUI

Bin CUI

Peking University

H-index: 56

Asia-China

About Bin CUI

Bin CUI, With an exceptional h-index of 56 and a recent h-index of 41 (since 2020), a distinguished researcher at Peking University, specializes in the field of Database, Big Data analytics, ML Systems.

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

Structure-Guided Adversarial Training of Diffusion Models

Improving diffusion-based image synthesis with context prediction

Distributed graph neural network training: A survey

Model-enhanced Vector Index

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models

Improving Automatic Parallel Training via Balanced Memory Workload Optimization

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms

Bin CUI Information

University

Position

Professor of Computer Science

Citations(all)

10883

Citations(since 2020)

6854

Cited By

5645

hIndex(all)

56

hIndex(since 2020)

41

i10Index(all)

169

i10Index(since 2020)

131

Email

University Profile Page

Peking University

Google Scholar

View Google Scholar Profile

Bin CUI Skills & Research Interests

Database

Big Data analytics

ML Systems

Top articles of Bin CUI

Title

Journal

Author(s)

Publication Date

Structure-Guided Adversarial Training of Diffusion Models

arXiv preprint arXiv:2402.17563

Ling Yang

Haotian Qian

Zhilong Zhang

Jingwei Liu

Bin Cui

2024/2/27

Improving diffusion-based image synthesis with context prediction

Advances in Neural Information Processing Systems

Ling Yang

Jingwei Liu

Shenda Hong

Zhilong Zhang

Zhilin Huang

...

2024/2/13

Distributed graph neural network training: A survey

Yingxia Shao

Hongzheng Li

Xizhi Gu

Hongbo Yin

Yawen Li

...

2024/4/10

Model-enhanced Vector Index

Advances in Neural Information Processing Systems

Hailin Zhang

Yujing Wang

Qi Chen

Ruiheng Chang

Ting Zhang

...

2024/2/13

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models

Proceedings of the ACM on Management of Data

Hailin Zhang

Zirui Liu

Boxuan Chen

Yikai Zhao

Tong Zhao

...

2024/3/26

Improving Automatic Parallel Training via Balanced Memory Workload Optimization

IEEE Transactions on Knowledge and Data Engineering

Yujie Wang

Youhe Jiang

Xupeng Miao

Fangcheng Fu

Shenhan Zhu

...

2024/2/27

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Proceedings of the AAAI Conference on Artificial Intelligence

Zihao Yu

Haoyang Li

Fangcheng Fu

Xupeng Miao

Bin Cui

2024/3/24

Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms

arXiv preprint arXiv:2401.11708

Ling Yang

Zhaochen Yu

Chenlin Meng

Minkai Xu

Stefano Ermon

...

2024/1/22

Cross-modal contextualized diffusion models for text-guided visual generation and editing

arXiv preprint arXiv:2402.16627

Ling Yang

Zhilong Zhang

Zhaochen Yu

Jingwei Liu

Minkai Xu

...

2024/2/26

LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries

arXiv preprint arXiv:2403.07331

Ziqi Yin

Shanshan Feng

Shang Liu

Gao Cong

Yew Soon Ong

...

2024/3/12

Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge

arXiv preprint arXiv:2405.00263

Bin Xiao

Chunan Shi

Xiaonan Nie

Fan Yang

Xiangwei Deng

...

2024/5/1

Welcome to a New Era of the Data Science and Engineering Journal (DSE)

Data Science and Engineering

Bin Cui

2024/2/25

Graphusion: Latent Diffusion for Graph Generation

IEEE Transactions on Knowledge and Data Engineering

Ling Yang

Zhilin Huang

Zhilong Zhang

Zhongyi Liu

Shenda Hong

...

2024/4/25

Retrieval-Augmented Generation for AI-Generated Content: A Survey

arXiv preprint arXiv:2402.19473

Penghao Zhao

Hailin Zhang

Qinhan Yu

Zhengren Wang

Yunteng Geng

...

2024/2/29

Realcompo: Dynamic equilibrium between realism and compositionality improves text-to-image diffusion models

arXiv preprint arXiv:2402.12908

Xinchen Zhang

Ling Yang

Yaqi Cai

Zhaochen Yu

Jiake Xie

...

2024/2/20

SketchConf: A Framework for Automatic Sketch Configuration

Ruijie Miao

Fenghao Dong

Yikai Zhao

Yiming Zhao

Yuhan Wu

...

2023/4/3

Flexmoe: Scaling large-scale sparse pre-trained model training via dynamic device placement

Proceedings of the ACM on Management of Data

Xiaonan Nie

Xupeng Miao

Zilong Wang

Zichao Yang

Jilong Xue

...

2023/5/30

Spotserve: Serving generative large language models on preemptible instances

arXiv preprint arXiv:2311.15566

Xupeng Miao

Chunan Shi

Jiangfei Duan

Xiaoli Xi

Dahua Lin

...

2023/11/27

Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization

Proceedings of the ACM on Management of Data

Yexin Wang

Zhi Yang

Junqi Liu

Wentao Zhang

Bin Cui

2023/6/20

Graph-based non-sampling for knowledge graph enhanced recommendation

IEEE Transactions on Knowledge and Data Engineering

Shuang Liang

Jie Shao

Jiasheng Zhang

Bin Cui

2023/1/31

See List of Professors in Bin CUI University(Peking University)

Co-Authors

H-index: 88
Heng Tao SHEN

Heng Tao SHEN

University of Electronic Science and Technology of China

H-index: 70
Gao Cong

Gao Cong

Nanyang Technological University

H-index: 43
Zhiting Hu

Zhiting Hu

Carnegie Mellon University

H-index: 26
Yingxia Shao

Yingxia Shao

Beijing University of Posts and Telecommunications

H-index: 24
Tong Yang

Tong Yang

Peking University

H-index: 16
Wentao Zhang (张文涛)

Wentao Zhang (张文涛)

Peking University

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