Chang Zong (宗畅)

Current Working Status

  • Zhejiang University of Science and Technology, Hangzhou, China (2024 - present)
    • Lecturer, School of Computer Science and Technology

Education

  • Zhejiang University, Hangzhou, China (2019 - 2024)
    • Ph.D. in Artificial Intelligence
    • Advisor: Prof. Yueting Zhuang
  • University of Edinburgh, Edinburgh, UK (2012 - 2013)
    • M.S. in Informatics
    • Advisor: Prof. Bonnie Webber
  • Harbin Institute of Technology, Harbin, China (2008 - 2012)
    • B.S. in Information Security
    • Advisor: Prof. Daming Shi

Research Interests

  • Knowledge Fusion and Reasoning from Heterogeneous Data Sources
  • AI in Biomedicine (Cancer, Stroke, Rare Diseases) and Finance (Stocks, Funds)
  • Complex System Modeling with Knowledge-Augmented Neural Networks

Publications

  • EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
    • Chang Zong, Jian Wan, Siliang Tang, Lei Zhang
    • Artificial Intelligence in Medicine (SCI-Q1, CCF-C), 2025
  • Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
    • Chang Zong, Yueting Zhuang, Jian Shao, Weiming Lu
    • Data Mining and Knowledge Discovery (SCI-Q2, CCF-B), 2025
  • Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
    • Chang Zong, Jian Wan, Lucia Cascone, Hang Zhou
    • Complex & Intelligent Systems (SCI-Q2), 2025
  • Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
    • Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang
    • The 2024 Conference on Empirical Methods in Natural Language Processing (CCF-B), 2024
  • Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning
    • Zeqi Tan, Yongliang Shen, Xiaoxia Cheng, Chang Zong, Wenqi Zhang, Jian Shao, Weiming Lu, Yueting Zhuang
    • The 62nd Annual Meeting of the Association for Computational Linguistics (CCF-A), 2024
  • Graph neural networks meet with distributed graph partitioners and reconciliations
    • Zongshen Mu, Siliang Tang, Chang Zong, Dianhai Yu, Yueting Zhuang
    • Neurocomputing (SCI-Q1, CCF-C), 2023
  • Citation Prediction via Influence Representation Using Temporal Graphs
    • Chang Zong, Yueting Zhuang, Jian Shao, Weiming Lu
    • China National Conference on Big Data & Social Computing, 2023

Pre-Prints

  • Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
    • Yong Du, Yuchen Yan, Fei Tang, Zhengxi Lu, Chang Zong, Weiming Lu, Shengpei Jiang, Yongliang Shen
    • Accepted by The 40th Annual AAAI Conference on Artificial Intelligence (CCF-A), 2026
  • ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses
    • Chang Zong, Yuyan Chen, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang
    • Accepted by Asian Chapter of the Association for Computational Linguistics, 2025
  • RPA: Recursive Perturbation-Based Universal Adversarial Attacks on Multimodal Generative Tasks
    • Qian Yaguan, Chen Zhihao, Bao Qiqi, Chang Zong, Yu Fei, Ji Shouling, Wang Bin, Gu Zhaoquan, Lei Zhen
    • Accepted by The IEEE Transactions on Circuits and Systems for Video Technology (SCI Q1, CCF-B), 2025
  • Ask2Loc: Learning to Locate Instructional Visual Answers by Asking Questions
    • Chang Zong, Bin Li, Shoujun Zhou, Jian Wan, Lei Zhang
    • Under Review, 2025
  • Fund Selection via Dual-Screening Classification: Evidence from China
    • Chang Zong, Tao Yan, Hang Zhou, Yi Cao, Yichu Wang
    • In Submission, 2025

Professional Services

  • Conference Reviewer: ICML 2025, ACL ARR 2025, ACMMM 2025, ICLR 2025/2026, NeurIPS 2024/2025, AAAI 2026
  • Journal Reviewer: ACM TKDD

OpenSource Project

  • OpenKS: A domain generalizable knowledge learning and computing platform, Project Leader, GitHub

Research Projects

  • ZUST Graduate Student Research and Innovation Fund, 2025, Advisor
  • Zhejiang Province Key Research and Development Plan (Leading Project), 2025, First Participant
  • Zhejiang Province Key Research and Development Plan (Geese Project), 2023, Participant
  • National Natural Science Foundation of China (Special Project), 2022, Participant
  • Zhejiang Province Key Research and Development Plan (Selective Commission Project), 2022, First Student Participant
  • National Key Research and Development Program of China (AI 2030), 2021, Participant

Teaching

  • Medical Artificial Intelligence, 2025 Autumn
  • Natural Language Processing & Large Models, 2025 Spring
  • Python Programming, 2025 Spring
  • Literature Review and Writing, 2025 Spring

Working Experience

  • Lecturer, Zhejiang University of Science and Technology, Hangzhou, China (2024 - present)
  • AI Director (VP), QuantChi Data, Hangzhou, China (2018 - 2023)
    • Acknowledge to Prof. Jian Shao
  • Big Data Engineer, Electronic Soul, Hangzhou, China (2016 - 2018)
    • Acknowledge to Mr. Xiaobiao Yu
  • Big Data Engineer, Transfer Group, Hangzhou, China (2015 - 2016)
    • Acknowledge to Mr. Leipeng Tang
  • Data Scientist, ShapeSpace Ltd. Edinburgh, UK (2013 - 2015)
    • Acknowledge to Prof. Andrew Sherlock, Dr. Christopher Ball, and Prof. Susan Carpenter (R.I.P.)