Chunjiang Zhu, Ph.D.


Dr. Chunjiang Zhu is currently an assistant professor in the Department of Computer Science at the University of North Carolina at Greensboro. He was a postdoctor fellow at the Laboratory of Machine Learning & Health Informatics led by Prof. Jinbo Bi, Department of Computer Science and Engineering in the University of Connecticut. Before that, he was a postdoctor at the City University of Hong Kong and Hong Kong Baptist University for a few months, and also worked in the Hong Kong based Wisers AI Lab as a researcher and then a senior researcher. Dr. Zhu received his PhD in Computer Science from City University of Hong Kong in 2015. His Erdös number is 4. [CV]

Contact: Department of Computer Science
University of North Carolina at Greensboro
152 Petty Building
Greensboro, NC 27412
Office: 152 Petty Building
E-mail: chunjiang "dot" zhu "at" uncg "dot" edu

Research Interests: Data Analytics, AI for Drug Discovery, Algorithms and Data Structures.

Both undergraduate and graduate students are welcome to send me an email if interested in working with me.

Recent News: A paper entitled "MVLevelDB: Using Log-Structured Tree to Support Temporal Queries in IoT" is accepted and to appear in the IEEE Internet of Things (IoT) Journal.

A paper entitled "A Fast Algorithm for Source-Wise Round-Trip Spanners" is accepted and to appear in Theoretical Computer Science.

A paper entitled "Spectral Vertex Sparsifiers and Pair-Wise Spanners over Distributed Graphs" is accepted and to appear in ICML'21.

A paper entitled "Communication Efficient Distributed Hypergraph Clustering" is accepted and to appear in SIGIR'21.

Dr. Zhu received a UNCG Faculty First Award for his proposal, "Pairwise Graph Sparsification Algorithms for Big Data Network Analytics". Thank you very much for the generous support from UNCG!

A paper entitled "OctSurf: Efficient Hierarchical Voxel-based Molecular Surface Representation for Protein-Ligand Affinity Prediction" is accepted and to appear in Journal of Molecular Graphics and Modelling.

Serve as a Senior PC Member in IJCAI'21.

Our paper accepted by AAAI'21.

A paper entitled "Asynchronous Parallel Stochastic Quasi-Newton Methods" is accepted and to appear in Parallel Computing.

A paper entitled "Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search" is accepted and to appear in the premier Chemoinformatics journal, Journal of Chemical Information and Modeling.

Dr. Zhu will join the Department of Computer Science at the University of North Carolina at Greensboro (UNCG) as an Assistant Professor in January 2021.

Serve as a Program Committee member for NeurIPS'20, BIBM'20, and a Reviewer for ICALP'20.

A paper entitled "An Effective Hard Thresholding Method based on Stochastic Variance Reduction for Nonconvex Sparse Learning" was accepted by AAAI'20.

A paper entitled "Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing" was accepted by BIBM'19.

Will serve as AAAI'20 Program Committee member.

Dr. Zhu received a travel award for ICML'19. Thank you for the sponsors and see you soon at Long Beach!

Our paper entitled "Improved Dynamic Graph Learning through Fault-Tolerant Sparsification" was accepted by ICML'19.

  • Publications: In publications marked with '*', authors are ordered alphabetically according to the convention in the theory community.

    • Xiaofei Zhao, Kam-Yiu Lam, Chun Jiang Zhu, Chi-Yin Chow and Tei-Wei Kuo. MVLevelDB: Using Log-Structured Tree to Support Temporal Queries in IoT. The IEEE Internet of Things (IoT) Journal, 2021.

    • Chun Jiang Zhu, Song Han and Kam-Yiu Lam. A Fast Algorithm for Source-Wise Round-Trip Spanners. Theoretical Computer Science (TCS), 876, 34-44, 2021. [arXiv]

    • Chun Jiang Zhu, Qinqing Liu and Jinbo Bi. Spectral Vertex Sparsifiers and Pair-Wise Spanners over Distributed Graphs. ICML'21.

    • Chun Jiang Zhu, Qinqing Liu and Jinbo Bi. Communication Efficient Distributed Hypergraph Clustering. SIGIR'21.

    • Qinqing Liu, Peng-Shuai Wang, Chun Jiang Zhu, Blake Gaines, Tan Zhu, Jinbo Bi and Minghu Song. OctSurf: Efficient Hierarchical Voxel-based Molecular Surface Representation for Protein-Ligand Affinity Prediction. Journal of Molecular Graphics and Modelling, 105, 107865, 2021. [pdf]

    • Tan Zhu, Guannan Liang, Chun Jiang Zhu, Haining Li and Jinbo Bi. An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI'21. [arXiv]

    • Qianqian Tong, Guannan Liang, Xingyu Cai, Chun Jiang Zhu and Jinbo Bi. Asynchronous Parallel Stochastic Quasi-Newton Methods. Parallel Computing, 101, 102721, 2021. [arXiv]

    • Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloe Becquey and Jinbo Bi. Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search. Journal of Chemical Information and Modeling (JCIM), 60, 12, 6167–6184, 2020. [pdf]

    • Guannan Liang, Qianqian Tong, Chun Jiang Zhu and Jinbo Bi. An Effective Hard Thresholding Method based on Stochastic Variance Reduction for Nonconvex Sparse Learning. AAAI'20. [pdf]

    • Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi and Minghu Song. Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM'19. [pdf]

    • Chun Jiang Zhu, Sabine Storandt, Kam-Yiu Lam, Song Han and Jinbo Bi. Improved Dynamic Graph Learning through Fault-Tolerant Sparsification. ICML'19. [pdf]

    • Chun Jiang Zhu, Kam-Yiu Lam, Joseph Kee Yin Ng and Jinbo Bi. On the VC-Dimension of Unique Round-Trip Shortest Path Systems. Information Processing Letters (IPL), 145:1-5, 2019. [pdf]

    • Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han and Jinbo Bi. Communication-Optimal Distributed Dynamic Graph Clustering. AAAI'19. [arXiv] [pdf]

    • * Moritz Beck, Kam-Yiu Lam, Joseph Kee Yin Ng, Sabine Storandt and Chun Jiang Zhu. Concatenated k-Path Covers. ALENEX'19. [pdf]

    • Chun Jiang Zhu and Kam-Yiu Lam. Deterministic Improved Round-trip Spanners. Information Processing Letters (IPL), 129:57-60, 2018. [pdf]

    • Chung Keung Poon (equal contribution), Chun Jiang Zhu (equal contribution) and Kam-Yiu Lam. Energy-efficient Air-indices for Shortest Path and Distance Queries on Road Networks. Information Systems, 72:182-198, 2017. [pdf]

    • Chun Jiang Zhu and Kam-Yiu Lam. Source-wise Round-trip Spanners. Information Processing Letters (IPL), 124(C):42-45, 2017. [pdf]

    • Chun Jiang Zhu, Kam-Yiu Lam and Song Han. Approximate Path Searching for Supporting Shortest Path Queries on Road Networks. Information Sciences, 325:409-428, 2015. [pdf]

    • Chun Jiang Zhu, Kam-Yiu Lam, Reynold C.K. Cheng and Chung Keung Poon. On Using Broadcast Index for Efficient Execution of Shortest Path Continuous Queries. Information Systems, 49(C):142-162, 2015. [pdf]

    • Chun Jiang Zhu, Kam-Yiu Lam, Yuan-Hao Chang and Joseph Kee Yin Ng. Linked Block-based Multiversion B-Tree Index for PCM-based Embedded Databases. Journal of Systems Architecture, 61(9):383-397, 2015. [pdf]

    • Kam-Yiu Lam, Chun Jiang Zhu, Yuan-Hao Chang, Jen-Wei Hiseh, Po-Chun Huang, Chung Keung Poon and Jiantao Wang. Garbage Collection of Multi-version Indexed Data on Flash Memory. Journal of Systems Architecture, 60(8):630-643, 2014. [pdf]

    • Kam-Yiu Lam, Jiantao Wang, Joseph Kee-Yin Ng, Song Han, Limei Zheng, Calvin Ho Chuen Kam and Chun Jiang Zhu. SmartMood: Towards Pervasive Mood Tracking and Analysis for Manic Episode Detection. IEEE Transactions on Human-Machine Systems, 45(1):126-131, 2014. [pdf]

    • Kam-Yiu Lam, Jiantao Wang, Yuan-Hao Chang, Jen-Wei Hiseh, Po-Chun Huang, Chung Keung Poon and Chun Jiang Zhu. Garbage Collection for Multi-version Index on Flash Memory. DATE'14. [pdf]

    • * Chung Keung Poon and Chun Jiang Zhu. Energy-efficient Air-indices for Distance Queries on Road Networks. SIGSPATIAL'12. [pdf]

  • Students: I am fortunate to have worked with these excellent students.



  • Teaching:

    • Instructor: CSC429/629(Fall, 21, Spring, 21): Artificial Intelligence; CSC452/652(Fall, 21): Theory of Computation, University of North Carolina Greensboro

    • Tutorial Instructor: CS6492 (Fall, 13, Fall, 12): Advanced Database Systems, City University of Hong Kong

    • Teaching Assistant: CS6223 (Spring, 14): Distributed System; CS6492 (Fall, 13, Fall, 12): Advanced Database Systems; CS2311 (Spring, 13, Spring, 12): Computer Programming; CS3334 (Fall, 11): Data Structures, City University of Hong Kong


  • Professional Services:

    • Senior Program Committee Member: IJCAI'21

    • Program Committee Member: NeurIPS'21,'20; ICML'21,'20; AAAI'21,'20; IJCAI'22; BIBM'20,'19

    • Reviewer: IEEE Transactions on Knowledge and Data Engineering; IEEE Transactions on Computers; ICALP'20; KDD'19; NIPS'18; GLOBECOM'18; ICDE'15


Hobbies: Music (Concert) and Sport (Basketball).

Last Modified: 10/27/2020