Binbin Gu

binbing [at] uci [dot] edu - GitHub

About

I am a final-year Ph.D. candidate in Computer Science and Engineering at the University of California, Irvine. My research focuses on developing innovative methods that enable computer systems to learn from diverse types of data while ensuring efficiency, privacy, and security. My interest lies in the application of zero-knowledge proofs, which I explore in various contexts such as blockchain, Web3, databases, IoT, and distributed systems. In addition to my work on zero-knowledge proofs, I design advanced machine learning algorithms aimed at learning from complex data structures. This includes applications in knowledge graphs, natural language understanding, and multi-modal learning. My goal is to push the boundaries of what is possible in these fields, contributing to the development of more secure and intelligent systems.

Office Lab: DBH-2081

Advisor: Faisal Nawab

Research Interests

Machine Learning · Artifical Intelligience · Natural Language Processing · Zero Knowledge Proofs · Distributed Systems · IoT · Blockchain

Publications

Binbin Gu, Abhishek Singh, Yinan Zhou, Juncheng Fang and Faisal Nawab: RollStore: Hybrid Onchain-Offchain Data Indexing for Blockchain Applications. IEEE Trans. Knowl. Data Eng.
Qi Lin, Binbin Gu, and Faisal Nawab: ML on Chain: The Case and Taxonomy of Machine Learning on Blockchain. ICBC. 2023. [PDF]
Binbin Gu and Faisal Nawab: zk-Oracle: Trusted Off-Chain Compute and Storage for Decentralized Applications. ICBC. 2023. [PDF]
Saeed Kargar, Binbin Gu, Sangeetha Abdu Jyoth, Faisal Nawab: E2-NVM: A Memory-Aware Write Scheme to Improve Energy Efficiency and Write Endurance of NVMs using Variational Autoencoders. EDBT 2023. [PDF]
Binbin Gu, Saeed Kargar, Faisal Nawab: Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution. EDBT 2022. [PDF]
Shisong Chen, Binbin Gu, Jianfeng Qu, Zhixu Li, An Liu, Lei Zhao, Zhigang Chen: Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly. Proceedings of the 25th Conference on Computational Natural Language Learning. 518-527 [PDF]
Jing Dong, Binbin Gu, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen, Zhixu Li: HyperJOIE: Two-View Hyperbolic Knowledge Graph Embedding with Entities and Concepts Jointly. International Conference on Web Information Systems Engineering, 305-320 [PDF]
Jiaan Wang, Zhixu Li, Binbin Gu, Tingyi Zhang, Qingsheng Liu, Zhigang Chen: Multi-modal Chorus Recognition for Improving Song Search. International Conference on Artificial Neural Networks. International Conference on Artificial Neural Networks. Springer, Cham, 2021. [PDF]
Dawei Chen, Zhixu Li, Binbin Gu, An Liu, Lei Zhao, Zhigang Chen, Guoping Hu: Multimodal Named Entity Recognition with Image Attributes and Image Knowledge. DASFAA 2021: 186-201. [PDF]
Jia Chen, Binbin Gu, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao: SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment. DASFAA (1) 2020: 452-467 [PDF]
Lei Niu, Binbin Gu, Zhixu Li, Wei Chen, Ying He, Zhaoyin Zhang, Zhigang Chen: Fine-grained Entity Typing for Relation-Sparsity Entities. DASFAA (2) 2020: 141-157 [PDF]
Binbin Gu, Zhixu Li, An Liu, Jiajie Xu, Lei Zhao, Xiaofang Zhou: Improving the Quality of Web-based Data Imputation with Crowd Intervention. IEEE Trans. Knowl. Data Eng. doi: 10.1109/TKDE.2019.2954087 [PDF]
Jiapeng Li, Wei Chen, Binbin Gu, Junhua Fang, Zhixu Li, Lei Zhao: Measuring Semantic Relatedness with Knowledge Association Network. DASFAA (1) 2019: 676-691 [PDF]
Zhixu Li, Ying He, Binbin Gu, An Liu, Hongsong Li, Haixun Wang, Xiaofang Zhou: Diagnosing and Minimizing Semantic Drift in Iterative Bootstrapping Extraction. IEEE Trans. Knowl. Data Eng. 30(5): 852-865 (2018) [PDF]
Binbin Gu, Zhixu Li, Qiang Yang, Qing Xie, An Liu, Guanfeng Liu, Kai Zheng, Xiangliang Zhang: Web-ADARE: A web-aided data repairing system. Neurocomputing 253: 201-214 (2017) [PDF]
Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou: The Interaction Between Schema Matching and Record Matching in Data Integration. IEEE Trans. Knowl. Data Eng. 29(1): 186-199 (2017) [PDF]
Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou: The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract). ICDE 2017: 33-34 [PDF]
Jian Zhou, Zhixu Li, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang, Guoliang Li: CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method. DASFAA (1) 2016: 51-66 [PDF]
Qiang Yang, Zhixu Li, Binbin Gu, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao: CTextEM: Using Consolidated Textual Data for Entity Matching. DASFAA (1) 2016: 117-132 [PDF]

Teaching

Beyond SQL Data Management (COMPSCI 122D), Machine Learning/Data Mining (COMPSCI 178), Project in AI (COMPSCI 175), Introduction to AI (COMPSCI 271P) at UCI.

Database Systems (CSE 180) at UCSC.

Service

ICDE 2023 Webmaster [Certificate]