Department of Computer Science
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Recent Submissions
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
Imbalanced data problems in digital investigation
Performance diagnosis and optimization for deep neural network training and inference
Enhancing PLC logging and abnormality detection through machine learning and process mining
Development and validation of risk prediction model for cardiovascular risk among Chinese in Hong Kong: P-CARDIAC
Open-vocabulary Panoptic Segmentation with Embedding Modulation
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization
Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning
A Deep Learning Framework for Character Motion Synthesis and Editing
Online Matching with Stochastic Rewards: Advanced Analyses Using Configuration Linear Programs
Online Nash Welfare Maximization Without Predictions
Duet: SNP-assisted structural variant calling and phasing using Oxford nanopore sequencing.
The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
Assembly-free discovery of human novel sequences using long reads.
Evaluation of Mycobacterium tuberculosis enrichment in metagenomic samples using ONT adaptive sequencing and amplicon sequencing for identification and variant calling
Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP
Causality in Higher Order Process Theories
SOTER: Guarding Black-box Inference for General Neural Networks at the Edge
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images