👔 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. Please feel free to reach out if you are interested in my research.

📄 Publications

First & Co-First Author Publications

• Learned Image Compression via Sparse Attention and Adaptive Frequency
  Huidong Ma, Xinyan Shi, Hui Sun, Xiaofei Yue, Xiaoguang Liu, Gang Wang, Wentong Cai
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
• MSDZip: Universal Lossless Compression for Multi-source Data via Stepwise-parallel and Learning-based Prediction
  Huidong Ma$^\dagger$, Hui Sun$^\dagger$, Liping Yi, Yanfeng Ding, Xiaoguang Liu, Gang Wang
  The Web Conference (WWW), 2025
• Multi-source Data Lossless Compression via Parallel Expansion Mapping and xLSTM
  Huidong Ma, Hui Sun, Liping Yi, Xiaoguang Liu, Gang Wang
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
• A Survey and Benchmark Evaluation for Neural-Network-Based Lossless Universal Compressors Toward Multi-Source Data
  Hui Sun$^\dagger$, Huidong Ma$^\dagger$, Feng Ling, Haonan Xie, Yongxia Sun, Liping Yi, Meng Yan, Cheng Zhong, Xiaoguang Liu, Gang Wang
  Frontiers of Computer Science (FCS), 2025
• LRCB: A Comprehensive Benchmark Evaluation of Reference-free Lossless Compression Tools for Genomics Sequencing Long Reads Data
  Hui Sun$^\dagger$, Huidong Ma$^\dagger$, Yingfeng Zheng, Haonan Xie, Meng Yan, Cheng Zhong, Xiaoguang Liu, Gang Wang
  Data Compression Conference (DCC), 2024
• SR2C: A Structurally Redundant Short Reads Collapser for Optimizing DNA Data Compression
  Hui Sun$^\dagger$, Huidong Ma$^\dagger$, Yingfeng Zheng, Haonan Xie, Xiaofei Wang, Xiaoguang Liu, Gang Wang
  IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023
• ricME: Long-Read Based Mobile Element Variant Detection Using Sequence Realignment and Identity Calculation
  Huidong Ma, Cheng Zhong, Hui Sun, Danyang Chen, Haixiang Lin
  International Symposium on Bioinformatics Research and Applications (ISBRA), 2023
• cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network
  Huidong Ma, Cheng Zhong, Danyang Chen, Haofa He, Feng Yang
  BMC Bioinformatics, 2023

Collaborative Publications

• 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
  ACM/IEEE Design Automation Conference (DAC), 2026
• 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
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025
• Adaptive Lossless Compression for Genomics Data by Multiple (s, k)-mer Encoding and XLSTM
  Hui Sun$^\dagger$, Yanfeng Ding$^\dagger$, Liping Yi, Huidong Ma, Haonan Xie, Gang Wang, Xiaoguang Liu
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
• Genomics Data Lossless Compression with (s,k)-mer Encoding and Deep Neural Networks
  Hui Sun$^\dagger$, Liping Yi$^\dagger$, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Xiaoguang Liu, Gang Wang
  AAAI Conference on Artificial Intelligence (AAAI), 2025
• 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
  Bioinformatics, 2024
• 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
  BMC Bioinformatics, 2023

🚩 Professional Activities

Reviewer for Journals

• 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