DR. LIEW WEI SHIUNG

Senior Lecturer

Department of Artificial Intelligence
Faculty of Computer Science and Information Technology

ACADEMIC QUALIFICATION

PhD, (Computer Science & Mathematics)
Universiti Malaya (um)
M.Eng, (Biomedical Science)
Universiti Malaya (um)
B.Eng, (Automation & Robotics Eng. Design Cad)
Universiti Multimedia Malaysia (mmu)

Head Coordinator
01 Mar 2025 - 28 Feb 2027 (Department of Artificial Intelligence, Faculty of Computer Science and Information Technology)
Coordinator
01 Jul 2024 - 30 Jun 2025 (Department)
Coordinator
04 Aug 2023 - 30 Jun 2024 (Department)

WoS

Sado, Fatai; Loo, Chu Kiong; Liew, Wei Shiung; Kerzel, Matthias; Wermter, Stefan (2023). Explainable Goal-driven Agents and Robots - A Comprehensive Review, ACM COMPUTING SURVEYS. 55(10). doi:10.1145/3564240
Lee, Gin Chong; Loo, Chu Kiong; Liew, Wei Shiung (2022). SELF-ORGANIZING RESERVOIR NETWORK FOR ACTION RECOGNITION, MALAYSIAN JOURNAL OF COMPUTER SCIENCE. 35(3), 243-263. doi:10.22452/mjcs.vol35no3.4
Liew, Wei Shiung; Loo, Chu Kiong (2022). EXPLAINING PHYSIOLOGICAL AFFECT RECOGNITION WITH OPTIMIZED ENSEMBLES OF CLUSTERED EXPLAINABLE MODELS, MALAYSIAN JOURNAL OF COMPUTER SCIENCE. 35(4), 359-375. doi:10.22452/mjcs.vol35no4.4
Liew, W. S., Loo, C. K., & Wermter, S. (2021). Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles. IEEE Access, 9, 61513-61531. doi: 10.1109/access.2021.3072120

Fei, L., Loo, C. K., Shiung, L. W., & Xiaofeng, L. (2023, December). FedLoop: A P2P Personalized Federated Learning Method on Heterogeneous Data. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1603-1606). IEEE.

2023 - 2026, Bantuan Khas Penyelidikan (BKP Special)
Smart Assistant For Ai-assisted Ar-based Visual Inspection And Diagnosis Of Hardware Components ( Principal Investigator(PI))
2024 - 2026, Government Agency
Penambahbaikan Sistem Pengurusan Bahan Pembinaan Melalui Robot Autonomi Dalam Gudang Pintar ( Co-Researcher)

(2025) Sri Kdu Ai Hackathon ( Hacklah2025 ), National, (Co-curriculum Advisor)

(2025) Academic Project 1
(2025) Industrial Training, DONG MINGKANG, DUAN YU HAO, CHEN TIANYI, NIU BINGKUN, JIAJIE LI, JINJIN LIU

(2025) A Deep Neural Network Based on Brain Inspiration, FEI LI
(2025) A PROGRAMMING-ORIENTED DATA SCIENCE FRAMEWORK FOR CLIMATE RISK PREDICTION USING MACHINE LEARNING, ZHENDA HAO
(2025) A META-LEARNING WITH FEW-SHOT APPROACH TO CROSS-DOMAIN ENTITY RESOLUTION, LOW WEIXIN
(2025) AUTOMATIC RECOGNITION OF MULTI DIGITAL AND ANALOG GAUGE INSTRUMENTS USING AR, HOE JIA HONG
(2025) QUANTUM HYBRID LANGUAGE PROCESSING, SAYEDMOHAMMADMAHDI SADRNEZHAAD
(2025) HOW MODEL DISTILLATION AND EFFICIENT FEATURE SELECTION CAN HELP ACHIEVE GREEN DEEP LEARNING, ZHANG HAIJING
(2025) 6-DOF ROBOTIC GRASP DETECTION IN STACKED OBJECT SCENES USING POINT CLOUDS, HUANG, CONGYU
(2025) ENHANCING ARRHYTHMIA DETECTION ACCURACY AND EFFICIENCY USING SINGLE-LEAD ECG SIGNAL ANALYSIS WITH EDGE COMPUTING, YAP YUAN XI
(2025) TEXT SUMMARY, SENTIMENT ANALYSIS, CHEN SAI
(2025) Image Augmentation for Explainable Biomedical Image Diagnosis, LI LUO
(2025) SMART ASSISTANT FOR AI-ASSISTED AR-BASED VISUAL INSPECTION AND DIAGNOSIS OF HARDWARE COMPONENTS, REEM MOUMEN MOHAMMED IDRES
(2025) Evaluating the Feasibility and Impact of an GPT-Driven Assistant (HR) in Large Corporation, WONG CHAN FUI
(2025) INTEGRATION OF CONTINUAL LEARNING AND SEMANTIC SEGMENTATION IN A ROBOTIC VISION, CHEN YI
(2024) EFFICIENT OBJECT LEARNING AND CLASSIFICATION MODELS FOR MOBILE PLATFORMS, ADITYA LOH WEI HUR