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	Title	Author(s)	Issue Date
	Trustless digital signatures in blockchain	Cui, Handong崔韓東	2023
	A restricted Boltzmann machine based method for efficient processing of large biomedical datasets	Lu, Jianliang鲁建亮 Advisor(s):Lam, TWLuo, R	2021
	Quantum information processing with indefinite input-output direction	Liu, Zixuan刘子旋 Advisor(s):Chiribella, G	2023
	Deep learning based medical image segmentation and visual question answering	Liu, Sishuo劉思鑠	2023
	Low-level vision processing : new approaches and sensors	Wang, Zhouxia王州霞	2023
	Computational methods to bridge genomics data with medical applications	Su, Junhao苏俊豪	2024
	Nanopore long-read variant calling	Zheng, Zhenxian鄭鎮賢	2023
	Towards context-aware trajectory planning for autonomous vehicles	Guo, Ke郭棵	2023
	Exploring pathways to medical foundation models	Zhou, Hongyu周洪宇	2023
	A blend of intersection types and union types	Rehman, Baber Advisor(s):Dos Santos Oliveira, BC	2023
	New methods for studying massive and complex biological data : from ultra-low depth sequence to high resolution structure	Li, Shumin李舒敏 Advisor(s):Luo, RLam, TWYiu, SM	2022
	Practical public key encryption with continual leakage resilience	Cai, Cailing蔡彩玲 Advisor(s):Yuen, THYiu, SM	2022
	Discovery of novel genomic sequences and DNA methylated transcriptomic analysis	Li, Qiuhui李秋慧 Advisor(s):Luo, RLam, TW	2022
	Multimodal vision-language representation learning	Ge Yuying葛玉莹 Advisor(s):Luo, PWong, KKY	2023
	Towards fully privacy-preserving payment channel hubs	Qin, Xianrui覃先鋭 Advisor(s):Yuen, THYiu, SM	2023
	Learning-based 3D depth estimation and surface reconstruction from 2D images	Long, Xiaoxiao龙霄潇 Advisor(s):Komura, TWang, WP	2023
	Exploiting characteristics of data parallelism for efficient distributed machine learning systems	Chen, Yangrui陈扬锐 Advisor(s):Wu, C	2023
	Integration and processing of large-scale biomedical data	Zhang, Wenhua张闻华 Advisor(s):Pan, JWang, WP	2023
	Memory and communication efficient protocols for machine learning applications	Wen, Ting温婷 Advisor(s):Chan, HTH	2023
	MINDPIPE : a high-performance and carbon-efficient training system for general large AI models with four dimensional parallelism	Zhao, Shixiong赵世雄 Advisor(s):Cui, H	2022