Publications

  1. Qian Ma, S M Rayeed, Charles V. Stewart, Qiong Wu, Yao Ma. Identifying and Resolving Pitfalls of Knowledge-Based VQA Benchmarks: Auditing, Repairing, and Augmenting. ECCV 2026, to appear.
  2. Qian Ma, Qiong Wu, Zhengyi Zhou, Yao Ma. Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification. ACL 2026 Findings, to appear.
  3. Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma. Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? LoG 2024.
  4. Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma. Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. ACM SIGKDD Explorations, 2025.
  5. Qian Ma, Haitao Mao, Zhehua Zhang, Qiong Wu, Zhengyi Zhou, Yao Ma. Cross-Domain GraphWalker: Harnessing LLMs for Graph Structure Learning. Under review.
  6. Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang. Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. CIKM 2023.
  7. Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, et al. PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CIKM 2023.

For the latest updates, see my Google Scholar profile.