2026 Bolin Ding: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	51	5349	5197	2450	2365	184	10207

Overview

Bolin Ding is affiliated with Alibaba Group in the United States and has a research background primarily in computer science, with a focus on artificial intelligence and related subfields. Their work spans various areas including privacy-preserving technologies, cryptography, data security, advanced database systems, graph neural networks, and natural language processing techniques.

Their publication record includes numerous papers across several respected venues reflecting an active research profile. Notable recent papers include:

Simple and Deep Graph Convolutional Networks, 2020, published in arXiv (Cornell University)
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation, 2024, published in Proceedings of the VLDB Endowment
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity, 2023, published in Proceedings of the VLDB Endowment
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning, 2022, published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Lero: A Learning-to-Rank Query Optimizer, 2023, published in Proceedings of the VLDB Endowment

Their frequent co-authors reflect a network of collaboration with other researchers in related fields and include:

Yaliang Li
Jingren Zhou
Yuexiang Xie
Daoyuan Chen
Zhewei Wei

Bolin Ding has contributed to research published mainly in the following venues:

arXiv (Cornell University)
Proceedings of the VLDB Endowment
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
IEEE Transactions on Knowledge and Data Engineering
ACM Transactions on Information Systems

Their research has covered a variety of fields, with a notable concentration in computer science and its subfields, including:

Artificial Intelligence
Computer Networks and Communications
Signal Processing
Information Systems
Management Science and Operations Research

The main topics of their work reflect a strong emphasis on both foundational and applied aspects of computer science and data management, including:

Privacy-Preserving Technologies in Data
Topic Modeling
Cryptography and Data Security
Advanced Database Systems and Queries
Data Management and Algorithms
Advanced Graph Neural Networks
Natural Language Processing Techniques

Best Publications

Contrastive Learning for Sequential Recommendation

Xu Xie;Fei Sun;Zhaoyang Liu;Shiwen Wu

542
Citations
Finding Top-k Min-Cost Connected Trees in Databases

Bolin Ding;J. Xu Yu;Shan Wang;Lu Qin

494
Citations
Swarm: mining relaxed temporal moving object clusters

Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

460
Citations
Simple and Deep Graph Convolutional Networks

Ming Chen;Zhewei Wei;Zengfeng Huang;Bolin Ding

455
Citations
Collecting telemetry data privately

Bolin Ding;Janardhan Kulkarni;Sergey Yekhanin

426
Citations
Mining periodic behaviors for moving objects

Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

369
Citations
Finding time-dependent shortest paths over large graphs

Bolin Ding;Jeffrey Xu Yu;Lu Qin

344
Citations
Online mobile Micro-Task Allocation in spatial crowdsourcing

Yongxin Tong;Jieying She;Bolin Ding;Libin Wang

339
Citations
Towards Universal Sequence Representation Learning for Recommender Systems

Unknown

295
Citations
Blowfish privacy: tuning privacy-utility trade-offs using policies

Xi He;Ashwin Machanavajjhala;Bolin Ding

225
Citations
Fast Graph Pattern Matching

Jiefeng Cheng;J.X. Yu;Bolin Ding;P.S. Yu

224
Citations
Online minimum matching in real-time spatial data: experiments and analysis

Yongxin Tong;Jieying She;Bolin Ding;Lei Chen

219
Citations
Distance-constraint reachability computation in uncertain graphs

Ruoming Jin;Lin Liu;Bolin Ding;Haixun Wang

202
Citations
Differentially private data cubes: optimizing noise sources and consistency

Bolin Ding;Marianne Winslett;Jiawei Han;Zhenhui Li

184
Citations
MoveMine: Mining moving object data for discovery of animal movement patterns

Zhenhui Li;Jiawei Han;Ming Ji;Lu-An Tang

178
Citations
Sequential Recommendation with Self-Attentive Multi-Adversarial Network

Ruiyang Ren;Zhaoyang Liu;Yaliang Li;Wayne Xin Zhao

170
Citations
Approximate Query Processing: No Silver Bullet

Surajit Chaudhuri;Bolin Ding;Srikanth Kandula

169
Citations
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis

C.X. Lin;Bolin Ding;Jiawei Han;Feida Zhu

164
Citations
Classifying Data Streams with Skewed Class Distributions and Concept Drifts

Jing Gao;B. Ding;Wei Fan;Jiawei Han

159
Citations
Twiglist: make twig pattern matching fast

Lu Qin;Jeffrey Xu Yu;Bolin Ding

157
Citations
Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems

Haiming Jin;Lu Su;Bolin Ding;Klara Nahrstedt

151
Citations
Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters

Srikanth Kandula;Anil Shanbhag;Aleksandar Vitorovic;Matthaios Olma

15
Citations

Frequent Co-Authors

Jiawei Han University of Illinois at Urbana-Champaign

Surajit Chaudhuri Microsoft (United States)

Jeffrey Xu Yu Chinese University of Hong Kong

Kaushik Chakrabarti Microsoft (United States)

Zhenhui Li Pennsylvania State University

Lu Qin University of Technology Sydney

ChengXiang Zhai University of Illinois at Urbana-Champaign

Ashwin Machanavajjhala Duke University

Vivek Narasayya Microsoft (United States)

Lei Chen Hong Kong University of Science and Technology

External Links

Personal website of Bolin Ding Google Scholar page

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