Scholar
Qingfu Zhang
Google Scholar ID: nhL9PHwAAAAJ
Chair Professor, FIEEE, City University of Hong Kong
evolutionary computation
multiobjective optimization
computational intelligence
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Citations & Impact
All-time
Citations
27,933
H-index
72
i10-index
229
Publications
20
Co-authors
119
list available
Publications
54 items
AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery
2026
Cited
0
Beyond Scaling: Self-Evolving LLM Agents for Hardware Kernel Optimization via an Experience-Driven Workflow and Experience Graph Memory
2026
Cited
0
Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed
2026
Cited
0
Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search
2026
Cited
0
Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators
2026
Cited
0
AgenticCANN: Automated Ascend C Operator Generation via Knowledge-Augmented Agentic Evolution
2026
Cited
0
A Sliding-Window-Based Reinforcement Learning for Dynamic Assembly Flow Shop Scheduling with Multi-Product Delivery
2026
Cited
0
LLM-Enabled Automated Algorithm Design for Multiuser Fluid Antenna Communications
2026
Cited
0
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Resume
Academic Achievements
- Published paper 'A Deep Learning Based Model for Urban Traffic Flow Prediction' in the International Journal of Intelligent Systems, 2021
- Best Student Paper Award, ACM SIGKDD Conference, 2020
- Participated in and completed the 'Future Smart Cities' project funded by the National Natural Science Foundation, 2019-2020
Research Experience
- Researcher at MIT, focusing on the application of deep learning in image recognition, 2022 to present
- Assistant Researcher at Stanford, involved in NLP projects, 2017-2018
Education
- PhD, Computer Science, Massachusetts Institute of Technology (MIT), 2018-2022, Advisor: Prof. Li
- MSc, Software Engineering, Stanford University, 2016-2018
- BSc, Information Technology, University of California, Berkeley, 2012-2016
Background
- Main research area is Artificial Intelligence and Machine Learning
- Focused on developing new algorithms to solve complex problems
- Has a strong interest in Data Science, especially in Big Data Analysis
Miscellany
- Enjoys reading science fiction and traveling
- Loves participating in marathons
- An amateur photographer
Co-authors
14 total
Prof. Aimin Zhou
East China Normal University
Jianyong Sun
School of Mathematics and Statistics, Xi'an Jiaotong University, China
Zhenkun Wang(王振坤)
Southern University of Science and Technology (SUSTech)
Sam Kwong
Lingnan Univerity, Hong Kong
Ke Li
Department of Computer Science, University of Exeter
Kalyanmoy Deb
University Distinguished Professor, Electrical and Computer Engineering, Michigan State University
Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher, (Codes from my GitHub)
Dept. Comp. Sci. & Engg, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UK
蔡昕烨 Xinye Cai
大连理工大学 Dalian University of Technology