🤖 About Me

• Dr. Kong is currently an Assistant Professor at Undergraduate School of Artificial Intelligence, Shenzhen Polytechnic University.

• He received his B.S. (2011), M.S. (2014), and Ph.D. (2023) in Computer Science from Shenzhen University (SZU). His supervisor is Prof. Guoliang Chen (CAS Academician), co-supervised by Prof. Mao Rui and Assoc. Prof. Luo Qiuming. After earning his Master’s degree, he served as a Heterogeneous Computing Engineer at Baidu Institute of Deep Learning (IDL) (2014-2015), Department Manager at SenseTime (2015-2017), and T4 Senior Algorithm Expert at Zhejiang Dahua Advanced Technology Research Institute (2017-2018), specializing in R&D and product implementation of high-performance AI algorithms.

• His research interests include computer vision, multimodal learning, and high-performance computing. Currently, he investigates fine-grained recognition and comprehension challenges within open-vocabulary learning systems. He has published over ten academic papers in international conferences and journals, and served as a reviewer for journals/conferences including IJCV, MM, TCSVT, and Machine Learning. Additionally, he authored a professional textbook and co-translated a technical monograph.

🔥 News

📖 Educations

• 2018.09 - 2023.06, Ph.D., Shenzhen University
  SUPERVISOR: Prof. Guoliang Chen, CO-SUPERVISOR: Prof. Rui Mao and Assoc. Prof. Qiuming Luo
• 2011.09 - 2014.06, M.S., Shenzhen University
  SUPERVISOR: Prof. Guoliang Chen, CO-SUPERVISOR: Assoc. Prof. Qiuming Luo
• 2007.09 - 2011.06, B.S., Shenzhen University
  SUPERVISOR: Assoc. Prof. Qiuming Luo

👨‍🔧 Working Experience

• 2023.09 ‑ Present Assistant Professor
  Shenzhen Polytechnic University

• 2017.03 ‑ 2018.08 T4 Senior Algorithm Expert, Director of Shenzhen Branch
  Zhejiang Dahua Advanced Technology Research Institute

• 2015.01 ‑ 2017.03 Senior R&D Engineer, Department Manager
  SenseTime

• 2014.07 ‑ 2015.01 Heterogeneous Computing Engineer
  Baidu Institute of Deep Learning (IDL)

📝 Publications

* represents corresponding author.

• Challenges and Benchmarking of Object Detection Models on Edge AI SoCs
  Chang Kong, Peng Mo, Tao Zeng, Qiuming Luo, Rui Mao
  2025 International Conference on Intelligent Computing (ICIC)

• FPGA-Accelerated Error Diffusion Halftoning for High-Throughput Wide-Format Industrial Printing
  Qiuming Luo, Yiwen Zhong, Chang Kong*
  Computer Graphics International 2025 (CGI)

• Radical Sequence Encoding with Fine-Tuned CLIP for Handwritten Chinese Character Recognition
  Qiuming Luo, Tao Zeng, Xuan Wei, Chang Kong*
  The 19th International Conference on Document Analysis and Recognition 2025 (ICDAR)

• Deep Multi-Input Multi-Stream Ordinal Model for age estimation: Based on spatial attention learning
  Chang Kong, Haitao Wang, Qiuming Luo, Rui Mao, Guoliang Chen
  Future Generation Computer Systems 2023 (FGCS)

• Learning Deep Contrastive Network for Facial Age Estimation
  Chang Kong, Qiuming Luo, Guoliang Chen
  2022 International Joint Conference on Neural Networks (IJCNN)

• RSFAD: A Large-Scale Real Scenario Face Age Dataset in the wild
  Chang Kong, Qiuming Luo, Guoliang Chen
  2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG)

• A comparison study: the impact of age and gender distribution on age estimation
  Chang Kong, Qiuming Luo, Guoliang Chen
  2021 ACM Multimedia Asia (MMAsia)

• Understanding the Data Traffic of Uncore in Westmere NUMA Architecture
  Qiuming Luo, Chang Kong, Yuanyuan Zhou, Guoqiang Liu, Chengjian Liu
  2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

• Optimization of Uncore Data Flow on NUMA Platform
  Qiuming Luo, Yuanyuan Zhou, Chang Kong, Mei Wang, Ye Cai
  2014 IFIP International Conference on Network and Parallel Computing (NPC)

• Analyzing the characteristics of memory subsystem on two different 8-way NUMA architectures
  Qiuming Luo, Yuanyuan Zhou, Chang Kong, Guoqiang Liu, Ye Cai, Xiao-Hui Lin
  2013 IFIP International Conference on Network and Parallel Computing (NPC)

• MAP-numa: Access Patterns Used to Characterize the NUMA Memory Access Optimization Techniques and Algorithms
  Qiuming Luo, Chenjian Liu, Chang Kong, Ye Cai
  2012 IFIP International Conference on Network and Parallel Computing (NPC)

🌍Visitor Map