个人照片

吕泽众

天津工业大学 控制科学与工程学院

Email: zezhonglv@tiangong.edu.cn

Google Scholar

本人主要从事人工智能、多模态学习与计算机视觉研究, 已在CCF A/B类会议及SCI一区/二区期刊发表论文8篇。 实验室具备GPU服务器资源,并拥有丰富的工业项目经验。 欢迎对计算机视觉、多模态学习、工业AI方向感兴趣的同学加入, 支持高水平论文发表与工程项目实践。

Email: zezhonglv@tiangong.edu.cn

教育与经历

2021 - 2025 中国人民大学 博士(导师:苏冰) - 人工智能
2018 - 2021 天津大学 硕士 - 电子信息
2014 - 2018 西北工业大学 学士 - 计算机科学与技术
实习经历 中国电信人工智能研究院(多模态大模型方向)

Publications

  1. Zezhong Lv, Bing Su, Ji-Rong Wen. Counterfactual cross-modality reasoning for weakly supervised video moment localization. ACM MultiMedia 2023. (CCF A)
  2. Zezhong Lv, Bing Su. Variational global clue inference for weakly supervised video moment retrieval. Knowledge-Based Systems 2025. (SCI一区 TOP)
  3. Zezhong Lv, Bing Su, Xia Xu, Wei Li, Wei Cui. Deep learning enables label-free nanoparticle localization from brightfield microscopy images. Colloids and Surfaces A 2025. (SCI二区)
  4. Zezhong Lv, Bing Su. Temporal-enhanced cross-modality fusion network for video sentence grounding. IEEE ICME 2023. (CCF B)
  5. Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao. Exploring temporal concurrency for video-language representation learning. ICCV 2023. (CCF A)
  6. Jun Zhang; Zezhong Lv; Jian Zhao; et al. Beyond Similarity: Mutual Information-Guided Retrieval for In-Context Learning in VQA. Pattern Recognition 2026. (SCI一区 TOP, 共同一作)
  7. Zezhong Lv, Qing Xu, Klaus Schoeffmann, Simon Parkinson. A Jensen-Shannon divergence driven metric of visual scanning efficiency. IEEE ICME 2021. (CCF B)