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

2026.04

🎉 Two papers are accepted by ACL 2026 (1 Oral and 1 Findings).

2026.02

🎉 Two papers are accepted by CVPR 2026 and DAC 2026 respectively.

2025.05

🎉 One paper is accepted by SIGKDD 2025.

2025.01

🎉 One paper is accepted by WWW 2025.

2024.12

🎉 Two papers are accepted by ICASSP 2025.

Publications

Efficient Learned Data Compression via Dual-Stream Feature Decoupling

Huidong Ma, Xinyan Shi, Hui Sun, Xiaofei Yue, Xiaoguang Liu, Gang Wang, Wentong Cai

AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent

Hui Sun, Yanfeng Ding, Huidong Ma, Chang Xu, Keyan Jin, Lizheng Zu, Cheng Zhong, Xiaoguang Liu, Gang Wang, Wentong Cai

sMoE: Elastic MoE-Based Inference with Serverless Computing via Fine-grained Expert Scaling

Xiaofei Yue, Ziming Zhao, Jiongchi Yu, Huidong Ma, Zhaoxuan Li, Tingting Li, Jianwei Yin

Learned Image Compression via Sparse Attention and Adaptive Frequency

Huidong Ma, Xinyan Shi, Hui Sun, Xiaofei Yue, Xiaoguang Liu, Gang Wang, Wentong Cai

PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database

Hui Sun, Yanfeng Ding, Liping Yi, Huidong Ma, Gang Wang, Xiaoguang Liu, Cheng Zhong, Wentong Cai

MSDZip: Universal Lossless Compression for Multi-source Data via Stepwise-parallel and Learning-based Prediction

Huidong Ma, Hui Sun, Liping Yi, Yanfeng Ding, Xiaoguang Liu, Gang Wang

Multi-source Data Lossless Compression via Parallel Expansion Mapping and xLSTM

Huidong Ma, Hui Sun, Liping Yi, Xiaoguang Liu, Gang Wang

Adaptive Lossless Compression for Genomics Data by Multiple (s, k)-mer Encoding and XLSTM

Hui Sun, Yanfeng Ding, Liping Yi, Huidong Ma, Haonan Xie, Gang Wang, Xiaoguang Liu

A Survey and Benchmark Evaluation for Neural-Network-Based Lossless Universal Compressors Toward Multi-Source Data

Hui Sun, Huidong Ma, Feng Ling, Haonan Xie, Yongxia Sun, Liping Yi, Meng Yan, Cheng Zhong, Xiaoguang Liu, Gang Wang

Genomics Data Lossless Compression with (s,k)-mer Encoding and Deep Neural Networks

Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Xiaoguang Liu, Gang Wang

PQSDC: a parallel lossless compressor for quality scores data via sequences partition and Run-Length prediction mapping

Hui Sun, Yingfeng Zheng, Haonan Xie, Huidong Ma, Cheng Zhong, Meng Yan, Xiaoguang Liu, Gang Wang

LRCB: A Comprehensive Benchmark Evaluation of Reference-free Lossless Compression Tools for Genomics Sequencing Long Reads Data

Hui Sun, Huidong Ma, Yingfeng Zheng, Haonan Xie, Meng Yan, Cheng Zhong, Xiaoguang Liu, Gang Wang

SR2C: A Structurally Redundant Short Reads Collapser for Optimizing DNA Data Compression

Hui Sun, Huidong Ma, Yingfeng Zheng, Haonan Xie, Xiaofei Wang, Xiaoguang Liu, Gang Wang

PMFFRC: a large-scale genomic short reads compression optimizer via memory modeling and redundant clustering

Hui Sun, Yingfeng Zheng, Haonan Xie, Huidong Ma, Xiaoguang Liu, Gang Wang

ricME: Long-Read Based Mobile Element Variant Detection Using Sequence Realignment and Identity Calculation

Huidong Ma, Cheng Zhong, Hui Sun, Danyang Chen, Haixiang Lin

cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network

Huidong Ma, Cheng Zhong, Danyang Chen, Haofa He, Feng Yang

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