Computer Science, Software Engineering, Data Analysis

Yi Wu

Tel: 217-***-**** E-mail: *****@********.***

***, *** * ****** **., Champaign IL 61820

EDUCATION

Chongqing University Chongqing, China

Bachelor of Engineering in Computer Science and Technology Sep. 2020 - Jun. 2024

Cumulative GPA: 3.59(4.0) / 87.27(100)

Related Courses: Mathematical Model (96), Natural Language Processing (96), Computer Architecture (95), Data Structure (88), Design and Analysis of Algorithm (91), Operating Systems (92), Machine Learning (92)

Awards: Outstanding Student Comprehensive Scholarship Third Prize for Fall 2022-2023 and Spring 2021-2022 Outstanding Student Comprehensive Scholarship Second Prize for Fall 2020-2021 (8%) University of Illinois Urbana-Champaign Illinois, the U.S. Candidate for Master of Information System Management Sep. 2024 - Jun. 2026 PUBLICATIONS

Li, R., Li, Z., Wu, Y., Chen, C., & Zheng, Y. (2023). Elf: Erasing-based Lossless Floating-point Compression. Proceedings of the VLDB Endowment, 16(7), 1763–1776. https://doi.org/10.14778/3587136.3587149 Li, Z., Li, R., Xu, X., Wu, Y., Chen, C., Liu, T., Shang, J., & Zheng, Y. (2025). Adaptive encoding strategies for lossless floating-point compression. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2025.3554999 PATENTS

Ruiyuan Li, Jun Jiang, Chao Chen, Dongxia Zhang, Zheng Li, Yi Wu. Erasing-Based Lossless Compression and Decompression Methods for Floating-Point Data. US 12289120 B2, Data of Patent: Apr. 29, 2025. Li, R., Wu, Y., Jiang, J., Zhang, D., Li, Z., & Chen, C. (2023). Compression and Decompression Method for Floating- Point Sequential Data with Multiple Trailing Zeros [Chinese Patent No. 202**********]. Li, R., Li, Z., Jiang, J., Zhang, D., Wu, Y., & Chen, C. (2023). Erasing-based Lossless Compression and Decompression Method for Floating-Point Data. [Chinese Patent No. 202**********] Li, R., Li, Z., Jiang, J., Wu, Y., & Chen, C. (2022). Lossless Compression and Decompression Method for High Precision Floating-Point Sequential Data. [Chinese Patent No. 202**********]. RESEARCH EXPERIENCE

Spatio-Temporal Art Laboratory, School of Computer Science, Chongqing University Jan. 2022 - Jun. 2024 Member, instructed by Prof. Ruiyuan Li (School of Computer Science, Chongqing University) Elf: Erasing-based Lossless Floating-point Compression

Collated and read literature and research reports to learn about the most advanced XOR-based lossless floating- point compression methods, Chimp and Gorilla, and summarized their advantages and disadvantages

Assisted in designing erasing-based lossless floating-point (Elf) compression algorithm

Summarized challenges facing the Elf algorithm, including quick determination of erased bits, Lossless recovery of original floating-point data, and compact encoding of erased data

Compared Elf with nine state-of-the-art competitors based on 22 datasets and concluded that Elf achieved an average relative compression ratio improvement of 12.4% and 43.9% over Chimp and Gorilla respectively Achievement Most Reproducible Paper Award for the VLDB 2023 Erasing-based Lossless Compression Method for Streaming Floating-point Time Series

Assisted in designing an upgraded version of Elf named Elf+ by optimizing the significand count encoding strategy to improve the compression ratio and reduce the running time

Proved Elf+ outperforms Elf by an average relative compression ratio improvement of 7.6% and compression time improvement of 20.5% through experiments

Adaptive Encoding Strategies for Erasing-Based Lossless Floating-Point Compression

Assisted in developing a dynamic programming algorithm with a set of pruning strategies to compute the adaptive approximation rules efficiently, based on which Elf* is proposed

Extended Elf* to Streaming Elf*, i.e., SElf*, which achieves almost the same compression ratio as Elf* while enjoying even higher efficiency in streaming scenarios

Compared Elf* and SElf* with 8 competitors using 22 datasets

Proved through experiments that SElf* achieves a 9.2% relative compression ratio improvement over the best streaming competitor while maintaining similar efficiency and that Elf ranks among the most competitive batch compressors and that Elf ranks among the most competitive batch compressors. COMPETITION EXPERIENCE

Intelligent Guidance - "Wisdom Diagnosis" Feb. 2022 - Jul. 2022 Member, instructed by Prof. Qing Zhou (Chongqing University)

Implemented dialect-supported voice input to improve the efficiency of doctor-patient communication

Created the professional medical knowledge graph to increase the professionalism of patient description and realize the accurate mapping of departments

Built a database to store information about nodes and edges of the graph, attributes, and associated data

Used BERT-based Ensemble Learning to understand and process bidirectional contextual information in text and improve the accuracy of the final model up to 98.7% by combining the prediction results of multiple models Achievement Silver Award in the 8th "Internet +" College Students Innovation and Entrepreneurship Competition granted by Chongqing University (11%)

TRAINING PROGRAM

Intelligent Warehouse System - Ant WMS Aug. 2022

Member, Awarded as the Excellent Group

Developed a system for managing people, materials, and warehouse data using Python

Designed the front-end interface using Vue.js, Element UI, and Echarts

Designed application programming interface with Django as the main framework EXTRACURRICULAR ACTIVITIES

Student Union of Chongqing University, Intellectual Education Development Department Deputy Leader of the Comprehensive Group Sep. 2021 - Jun. 2022

Organized volunteers for the debate competitions of Chongqing University

Managed the volunteer registration, arrangement, training, and on-site coordination of the debate competition Member Sep. 2020 - Jun. 2021

Organized more than a thousand students to participate in the reading activity

Posted posters and distributed leaflets before the activity, checked the sign-in data during the activity, and sorted out the sign-in data more than 100,000 times and the list of award-winning students after the activity SKILLS

Professional Skills: Python, C, C++, JAVA, SQL

Language Skills: Mandarin (Native), English (Fluent)

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