Master
Department of Electronic and Information Engineering
Tongji University
Academic Email: dangronghao@tongji.edu.cn
Personal Email: drh1710013267@163.com

About Me

I am a master at the Department of Electronic and Information Engineering, The University of Tongji. My supervisor is Professor Chengju Liu. My research interests cover computer vision, machine learning, and artificial intelligence, with special emphasis on multimodal AI, vision and language, open-world recognition, and generative models. I have published several papers in top conferences such as ACMMM, ICML, IJCAI.

Employment and Education

  • M.S., Department of Electronic and Information Engineering / Robotics and Artifical Intelligence Lab (RAIL Lab), Tongji University. (August 2021 to June 2024)
    Topic: Visual Object Navigation (VON), Large Multimodal Model (LMM)
    Advised by Prof. Chengju Liu and Prof. Qijun Chen.

  • Bachelor, Department of Electronic and Information Engineering, Tongji University. (August 2017 to July 2021)

Selected Publications

  • Search for or Navigate to? Dual Adaptive Thinking for Object Navigation
    Ronghao Dang, Liuyi Wang, Zongtao He, Shuai Su, Chengju Liu, Qijun Chen
    International Conference on Computer Vision (ICCV), 2023
    [code]
  • Multiple thinking achieving meta-ability decoupling for object navigation
    Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen
    International Conference on Machine Learning (ICML), 2023
  • A Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation
    Liuyi Wang, Zongtao He, Jiagui Tang, Ronghao Dang, Naijia Wang, Chengju Liu, Qijun Chen
    International Joint Conference on Artificial Intelligence (IJCAI), 2023
    [code]
  • RES-StS: Referring Expression Speaker via Self-training with Scorer for Goal-Oriented Vision-Language Navigation
    Liuyi Wang, Zongtao He, Ronghao Dang, Huiyi Chen, Chengju Liu, Qijun Chen
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
  • DL-PCN: Differential learning and parallel convolutional network for action recognition
    Qinyang Zeng, Ronghao Dang, Qin Fang, Chengju Liu, Qijun Chen
    AI Communications, 2023
  • Unbiased Directed Object Attention Graph for Object Navigation
    Ronghao Dang, Zhuofan Shi, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen
    ACM International Conference on Multimedia (ACMMM), 2022
    [code]
  • Channel attention and multi-scale graph neural networks for skeleton-based action recognition
    Ronghao Dang, Chengju Liu, Ming Liu, Qijun Chen
    AI Communications, 2022
    [code]

Academic Services

Reviewer of the following conferences and journals:

  • ACMMM, ICML, IJCAI
  • TCSVT, AI COMMUNICATIONS

Research Internships

Research intern at SenseTime. (2023 summer)
Worked on instruction tuning based on Large Multimodal Model (LMM) with Yibing Song and Lijun Gong.

Research intern at Institute of Automation, Chinese Academy of Sciences. (2020 summer)
Worked on differentiable NAS neural architecture search methods with Dongbin Zhao.