Will AI Replace Professors?

Geometric Deep Graph Learning: A New Perspective on Graph Foundation Model

Big AI for Small Devices

The Hidden Truths of Principal Component Analysis

Artificial Intelligence (AI): Past, Present and Future

Data Valuation in Federated Learning

Biomedicine in the Age of Generative AI

Understanding Non-Verbal Communication: Decoding Facial Expressions and Gestures for Seamless Human-Robot Interaction

The Impact of ChatGPT on Artificial Intelligence Research and Social Development

Cardinality Estimation of Approximate Substring Queries using Deep Learning

Towards Production Federated Learning Systems

Bioinformatics Challenges in Complete Genomics and Metagenomics

Improving Object Detection from Repeated Traversals of the Same Route

Querying Geo-Textual Data Using Keywords – A Retrospective

People Analytics: Using Digital Exhaust from the Web to Leverage Network Insights in the Algorithmically Infused Workplace

The State of Representing and Solving Games

Towards Sustainable Edge and IoT: An Integral View from the Energy Perspective

Commodifying Data Exploration

Towards Interdisciplinary Education in the Metaverse

Past, Present, and Future of Feature Extraction

The Data Landscape: Trends and Directions

Fairness in Algorithmic Systems: A Reality or a Fantasy?

Personal Identity, Artificial Intelligence, and Biometric Entropy

Machine Learning for Big Spatial Data and Applications

A Vision towards Pervasive Edge Computing

AI for social impact: Results from deployments for public health and conservation

Blockchain in Action: Business Models, Application Examples, and Strategies

Blockchains Untangled: Public, Private, Smart Contracts, Applications, Issues

From the Edge of Biometrics: What's Next?

Deep Representations, Adversarial Learning and Domain Adaptation for Some Computer Vision Problems

Developmental Brain Storm Optimization Algorithms

Non-iterative Learning Methods

Data-driven Evolutionary Optimization – Integrating Evolutionary Computation, Machine Learning and Data Sciences

Enabling High-Quality and Efficient Vehicle Routing using Massive Trajectory Data

Entropic Analysis of Time Evolving Networks

How to Achieve Data Analytics and Artificial Intelligence in X

Recommender Systems: Beyond Machine Learning

Personalized Transfer Learning

Face Clustering at Scale

Multimedia over Future Internet: Challenges and Opportunities

Adversarial Signal Processing and The Hypothesis Testing Game

Special Sensing System for Computer Vision

50+ Years of Fuzzy Sets: Machine Intelligence and Data to Knowledge

Building a Biomedical Research Digital Commons

My Smartphone Knows What You Print: Exploring Smartphone-based Side-channel Attacks Against 3D Printers

Visual Domain Adaptation

Making Sense of Spatial Trajectories

New Correlation Filter Designs and Applications

Artificial Intelligence: Key to Chinese Manufacturing 2025

Who Is There? Face Recognition Applications

Beauty and the Computer

Big Data for Everyone

Biometric Recognition: Technology for Human Recognition

Is Computer Vision Pattern Recognition by a Different Name?

Optimization in Machine Learning

New Challenges in Multi-robot Task Allocation

Some Mysteries of Multiplication, and How to Generate Random Factored Integers

The HDL Lola and its Translation to Verilog

Computers and Computing in the Early Years

The Oberon System on a Field-Programmable Gate Array (FPGA)

Urban Computing : Using Big Data to Solve Urban Challenges

Keyword-Based Spatial Web Querying

Preserving Individual and Institutional Privacy in Distributed Regression Models

The Spiral of Theodorus, Numerical Analysis, and Special Functions

The Evolution of Probabilistic Models and Uncertainty Analysis in Computer Vision Research

Towards Connecting Big Data with Many People

Mapping the Next Generation Human Health on a Global Scale : Eight E-health Mega-themes and Trends

Self-Learning Control of Nonlinear Systems based on Iterative Adaptive Dynamic Programming Approach

Mobile Cloud and Crowd Computing, Communications and Sensing

Hypotheses Generation as Supervised Link Discovery with Automated Class Labeling on Large-Scale Biomedical Concept Networks

A 50-Year Personal Odyssey in Computer Science

Fusing Multiple Sources of Conflicting Information

Dimensionality Reduction for Real-Time Autonomous Systems

Machine Intelligence, F-granulation and Generalized Rough Sets: Uncertainty Analysis in Pattern Recognition and Mining

Discovery of Cyclic GMP and Nitric Oxide cell signaling and their role in drug development

Product Form Solutions for Stochastic Networks : Discovery or Invention?

How Precise Documentation Allows Information Hiding to Reduce Software Complexity and Increase Its Agility

Computers and Music

Learning to Simplify Sonography during and after the Ultrasound Examination

Liver Cancer Prediction: From Single Time-Point to Multimodality

Bridging the Interpretability Gap for Medical AI Models Using a Generative Explanation Approach

Exploration in Medical AI

Intelligent Neuromodulation with Edge Computing

Leveraging 30 Years of Clinical Data and AI Solutions to Advance Healthcare Research, Innovation, and Service in Hong Kong

AI for Population Health

Application of AI in Liver Diseases