About Me

🎓 Academic Pursuits

Hanzhi Zhang is currently pursuing her PhD directed by Dr. Yunhe Feng in the Department of Computer Science and Engineering (CSE) at the University of North Texas (UNT), Denton, TX. She is a member of the Responsible AI Lab and the LLaVi Lab at UNT. Her academic journey is driven by a profound interest in exploring the ethical dimensions and cognitive behaviors of Artificial Intelligence (AI). Her research primarily focuses on 🤖 Responsible AI, delving into the intricacies of 🧠 AI Hallucination, ⚡ Efficient AI, and investigating both Large and Small Language Models. Her work aims to forge a path towards more accountable, transparent, and efficient AI systems.

📚 Professional Background

Hanzhi completed her 📊 MS in Data Science with 🏆 Distinction from the University of Birmingham (2021-2022) and her 💻 BS in Computer Science and Technology (Honours) from Xiamen University (2017-2021). She previously worked as a 💾 Storage Backend Intern at OPPO, Inc. (2020-2021), focusing on file systems development.

🌟 Human Elements

Hanzhi Zhang’s personality, as an 🎭 ENTP-A, is defined by her insatiable curiosity and robust intellectual flexibility. She revels in intellectual challenges and is the quintessential devil’s advocate, skillfully deconstructing arguments and occasionally challenging her own beliefs by exploring alternative viewpoints.

Hanzhi pursues an intriguing blend of interests. She delves into the mystical realms of 🔮 tarot and astrology, using them as unique tools to influence decisions in programming and research. She also enjoys unraveling the latest gossip and embarks on quests to locate lost items.

Her cultural appetites are satiated by frequent visits to 🎭 musicals, dramas, 🏛️ museums, galleries, and exhibitions, which enrich her understanding of diverse perspectives.

📸 Photography is another passion of hers, which she humorously describes as a sport. This hobby sees her traversing 🏔️ mountains, laden with heavy gear, tirelessly capturing moments through day and night—an endurance exercise that combines her love for nature and artistry.

📰 News

🎉 May 2025: DAM paper accepted to ACL Findings 2025
🏆 April 2025: Won IEEE MOST Student Travel Grant Award
📝 March 2025: Poly-FEVER benchmark published on arXiv
🚗 March 2025: D2SO paper accepted to IEEE MOST 2025
✅ February 2025: Passed PhD Qualifying Exam
🏥 February 2025: HALO paper accepted to IEEE/ACM CHASE 2025
🎤 November 2024: Presented at NSF eCAT 2024 Annual Fall Meeting
🔬 June 2024: Selected for Argonne Training Program on Extreme-Scale Computing (ATPESC-24)

Next goal: convince my advisor that consulting tarot cards for hyperparameter tuning counts as “novel optimization techniques.” Stay tuned.