Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data. - Ya Wang; Weichuang Fang; Jinwen Ma; Xiangchen Li; Albert Zhong (ICIC (1), 2019)

Balanced reliability systems under Markov processes. - Lirong Cui; Jianhui Chen; Xiangchen Li (IISE Trans., 2019)

A novel approach for radar network's detection power analysis based on GPU. - Yafeng Huang; Zhengrong Zhu; Xiangchen Li (CBD, 2020)

Label Similarity Based Graph Network for Badminton Activity Recognition. - Ya Wang; Guowen Pan; Jinwen Ma; Xiangchen Li; Albert Zhong (ICIC (1), 2021)

PAMS-DP: Building a Unified Open PAMS Human Movement Data Platform. - Mengfei Tang; Tianyu Huang; Jupeng Luo; Xiangchen Li (BIBM, 2022)

On Uncertainty of Dynamic Systems via State Aggregation Coarse-Graining and State Decomposition Fine-Graining Ways. - Lirong Cui; Xiangchen Li; Narayanaswamy Balakrishnan 001 (CoRR, 2022)

ByteGraph: A High-Performance Distributed Graph Database in ByteDance. - Changji Li; Hongzhi Chen; Shuai Zhang; Yingqian Hu; Chao Chen; Zhenjie Zhang; Meng Li; Xiangchen Li; Dongqing Han; Xiaohui Chen; Xudong Wang; Huiming Zhu; et al. (Proc. VLDB Endow., 2022)

TransFlow: a Snakemake workflow for transmission analysis ofMycobacterium tuberculosiswhole-genome sequencing data. - Junhang Pan; Xiangchen Li; Mingwu Zhang; Yewei Lu; Yelei Zhu; Kunyang Wu; Yiwen Wu; Weixin Wang; Bin Chen; Zhengwei Liu; Xiaomeng Wang; Junshun Gao (Bioinform., 2023)

Deep Reinforcement Learning-Based Anti-Jamming Algorithm Using Dual Action Network. - Xiangchen Li; Jienan Chen; Xiang Ling 002; Tingyong Wu (IEEE Trans. Wirel. Commun., 2023)

HME-KG: A method of constructing the human motion encoding knowledge graph based on a hierarchical motion model. - Qi Liu; Tianyu Huang; Xiangchen Li (Int. J. Model. Simul. Sci. Comput., 2024)

Deformable dose prediction network based on hybrid 2D and 3D convolution for nasopharyngeal carcinoma radiotherapy. - Yanhua Liu; Wang Luo; Xiangchen Li; Min Liu (Medical Biol. Eng. Comput., 2025)

Parallel CPU-GPU Execution for LLM Inference on Constrained GPUs. - Jiakun Fan; Yanglin Zhang; Xiangchen Li; Dimitrios S. Nikolopoulos (CoRR, 2025)

SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving. - Xiangchen Li; Dimitrios Spatharakis; Saeid Ghafouri; Jiakun Fan; Hans Vandierendonck; Deepu John; Bo Ji 001; Dimitrios S. Nikolopoulos (CoRR, 2025)

QPART: Adaptive Model Quantization and Dynamic Workload Balancing for Accuracy-aware Edge Inference. - Xiangchen Li; Saeid Ghafouri; Bo Ji 001; Hans Vandierendonck; Deepu John; Dimitrios S. Nikolopoulos (CoRR, 2025)

Polymorph: Energy-Efficient Multi-Label Classification for Video Streams on Embedded Devices. - Saeid Ghafouri; Mohsen Fayyaz; Xiangchen Li; Deepu John; Bo Ji 001; Dimitrios S. Nikolopoulos; Hans Vandierendonck (CoRR, 2025)