Biography
I am Huidong Ma, a Ph.D. candidate in Computer Science and Technology at Nankai University, advised by Prof. Xiaoguang Liu and Prof. Gang Wang. Currently, I am a visiting student at the College of Computing and Data Science, Nanyang Technological University, working with Prof. Wentong Cai (Sept. 2025 – Aug. 2026). My research interests include Data Compression, Deep Learning, and High-Performance Computing, with 10+ publications (9 first-author) at venues including CVPR, ACL, WWW, SIGKDD and FCS. I am also working on research related to Large Language Model. Please feel free to reach out if you are interested in my research.
News
🎉 Two papers are accepted by ACL 2026 (1 Oral and 1 Findings).
🎉 Two papers are accepted by CVPR 2026 and DAC 2026 respectively.
🎉 One paper is accepted by SIGKDD 2025.
🎉 One paper is accepted by WWW 2025.
🎉 Two papers are accepted by ICASSP 2025.
Publications
Efficient Learned Data Compression via Dual-Stream Feature Decoupling
AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent
sMoE: Elastic MoE-Based Inference with Serverless Computing via Fine-grained Expert Scaling
Learned Image Compression via Sparse Attention and Adaptive Frequency
PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
MSDZip: Universal Lossless Compression for Multi-source Data via Stepwise-parallel and Learning-based Prediction
Multi-source Data Lossless Compression via Parallel Expansion Mapping and xLSTM
Adaptive Lossless Compression for Genomics Data by Multiple (s, k)-mer Encoding and XLSTM
A Survey and Benchmark Evaluation for Neural-Network-Based Lossless Universal Compressors Toward Multi-Source Data
Genomics Data Lossless Compression with (s,k)-mer Encoding and Deep Neural Networks
PQSDC: a parallel lossless compressor for quality scores data via sequences partition and Run-Length prediction mapping
LRCB: A Comprehensive Benchmark Evaluation of Reference-free Lossless Compression Tools for Genomics Sequencing Long Reads Data
SR2C: A Structurally Redundant Short Reads Collapser for Optimizing DNA Data Compression
PMFFRC: a large-scale genomic short reads compression optimizer via memory modeling and redundant clustering
ricME: Long-Read Based Mobile Element Variant Detection Using Sequence Realignment and Identity Calculation
cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network
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Professional Activities
Reviewer for Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2026
- Information Sciences, 2026
- IEEE Transactions on Network Science and Engineering, 2025
- GiGaScience, 2025
- Journal of Algorithms & Computational Technology, 2023
Reviewer for Conferences
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2026
- The Web Conference (WWW), 2025
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025