Curriculum Vitae

Zhang Hao / Curriculum Vitae

zhanghaousm@gmail.com

Education

PhD, Artificial Intelligence, Universiti Sains Malaysia (147 - QS Ranking 2025) Apr 2021 - Now
Focus: Sentiment Analysis, LLMs (Security, Alignment), Agent, RAG
Thesis: Aspect-Category-Opinion-Sentiment Quad Extraction With Implicit Aspects
And Opinions Using Pre-Trained Language Models And Machine Learning Methods.
Supervised by Cheah Yu-N
Examiner:
MSc (Bac5 , Paris Campus) Computer Science, SUPINFO International University Oct 2014 - Oct 2015
With distinction. Final Fulltime Internship: iHealth Labs Europe.
MSc (Bac4 , Rennes Campus) Computer Science, SUPINFO International University Oct 2013 - Oct 2014
With distinction. Final part-time Internship: Vivaneo Inc. Paris
BSc (Bac+ 1-3, Tianjin Campus) Computer Science, SUPINFO International University Sep 2009 - Jun 2013
Final project: A farm-based web game design and development.

Working Experience

Lecturer, Cangzhou Normal University Sep 2018 - Present
Led the planning, investment, and operational management of the university’s IDC Data Center,
including large-scale IT infrastructure projects such as server room setup, equipment procurement,
and network optimization, supporting digital transformation.
Spearheaded the design and implementation of smart campus initiatives and oversaw comprehensive
wireless network coverage, enhancing connectivity for students, faculty, and staff.
Provided technical training and support to improve the adoption of new technologies for staff.
Teaching foundational computer science courses (e.g., Python, Linux) and guiding practical experiments.
iOS Engineer, iHealth Labs China (Tianjin Office)Jan 2016 - Jun 2018
Led the development of a Nurse App, empowering doctors to monitor patients’ 24-hour blood pressure
and ECG data in real-time.
Led chronic disease management project X, collaboration with the U.S. Department of Defense
and Care Innovation Inc.
Pioneered chronic disease management solutions for U.S. veterans, enhancing care coordination
and patient outcomes.
iOS Engineer, iHealth Labs USA, (Silicon Valley Office, Sunnyvale, California)Aug 2016 - Dec 2016
Directed designing and developing a nurse app project for Mirus Hospital in Australia.
Led key projects within iHealth’s American team, driving healthcare solutions.
iOS Engineer Intern, iHealth Labs Europe (Paris Office)June 2015 - Oct 2015
Contributed to developing iHealth Europe’s B2B Medical Project.
Authored iHealth API and SDK interface documentation in English and French.
Assisted in the design of the iHealth European Security Cloud Architecture.
iOS Engineer Intern, Vivaneo Inc (Green Space, Paris) June 2014 - Oct 2014
Participated in software development and support for iOS applications.

Publications

● denotes my role as (Co-)senior author(s), whereas ■ denotes my role as main author(s).

Journals

Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey. Hao Zhang, Yu‑N Cheah, Osamah Mohammed Alyasiri, Jieyu An (Artificial Intelligence Review, 2024) -- JCR Q1, Journal Impact Factor 10.7
Text classification based on optimization feature selection methods: a review and future directions. Osamah Mohammed Alyasiri, Yu-N Cheah, Hao Zhang, Omar Mustafa Al-Janabi, Ammar Kamal Abasi (Multimedia Tools and Applications, 2024)
Improving Targeted Multimodal Sentiment Classification with Semantic Description of Images. Jieyu An, Nazmee Wan Zainon, Wan Mohd, Zhang Hao (Computers, Materials & Continua, 2023)
Sentiment Tree Driven Chain of Thought for Aspect Sentiment Quad Prediction. Hao Zhang (Draft, 2024)
A Multi-task and Contrastive Learning-Based Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions. Hao Zhang (Draft, 2024)
An Minimize Negative Samples Ccnfusion Framework for Aspect Sentiment Quad Prediction. Hao Zhang (Draft, 2024)

Conferences

An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions. Hao Zhang, Yu-N Cheah, Congqing He, Feifan YI (EMNLP Findings, 2024)

Academic services

The Journal of Supercomputing - 12 January 2025 (Reviewer)
Cluster Computing - 11 February 2025 (Reviewer)
Discover Artificial Intelligence - 26 February 2025 (Reviewer)