Media Analysis and Computing Lab (MAC).

Xiamen University, China.

Email: lynnliu.xmu[AT] or lynnliu0207[AT]             

[Goolge Scholar] [Goolge’s Website]

About Me

I am currently a second year Ph.D student in computer science at Xiamen University, under by Prof. Rongrong Ji.

My research interests are in computer vision and machine learning, especially in hashing-accelerated machine learning, Riemannian-based machine learning, and adversarial deep learning.



  1. Xiao Liu, Shengchuan Zhang, Hong Liu, Xin Liu, Rongrong Ji. Less is More: Unified Model for Unsupervised Multi-Domain Image-to-Image Translation. In Arixv, 2018


  1. Hong Liu, Rongrong Ji, Jingdong Wang, and Chunhua Shen. Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search. IEEE Trans. on Pattern Analysis and Machine Intelligence. 2018.
  2. Rongrong Ji; Hong Liu; Liujuan Cao; Di Liu; Yongjian Wu, and Feiyue Huang. Towards Optimal Manifold Hashing via Discrete Locally Linear Embedding, IEEE Trans. on Image Processing, Volume 26, Issue 11, 2017. [MATLAB CODES]
  3. Hong Liu, Aiwen Jiang, Mingwen Wang and Jianyi Wan.Local Similarity Preserved Hashing Learning via Markov Graph for Efficient Similarity Search. Neurocomputing, 159, 2015.


  1. Hong Liu, Jie Li, Rongrong Ji, and Yongjian Wu. Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. AAAI, 2019.
  2. Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, and Yunsheng Wu. Towards Optimal Discrete Online Hashing with Balanced Similarity. AAAI, 2019.
  3. Hong Liu, Mingbao Lin, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, and Rongrong Ji. Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval. ACM MM, 2018.
  4. Mingbao Lin, Rongrong Ji, Hong Liu, and Yongjian Wu. Supervised Online Hashing via Hadamard Codebook Learning. ACM MM, 2018. (Oral)
  5. Jianqiang Qian, Xianmin Lin, Hong Liu, Youming Deng, and Rongrong Ji. Towards Compact Visual Descriptor via Deep Fisher Network with Binary Embedding. ICME, 2018. (Oral)
  6. Hong Liu; Rongrong Ji; Yongjian Wu; Feiyue Huang; Baochang Zhang. Cross-Modality Binary Code Learning via Fusion Similarity Hashing. CVPR, 2017. [MATLAB CODES]
  7. Hong Liu; Rongrong Ji; Yongjian Wu; Feiyue Huang. Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. AAAI, 2017. (Oral) [MATLAB CODES]
  8. Hong Liu; Rongrong Ji; Yongjian Wu; Gang Hua. Supervised Matrix Factorization for Cross-Modality Hashing. IJCAI, 2016. [MATALB CODES] [STATEMENT]
  9. Hong Liu; Rongrong Ji; Yongjian Wu; Wei Liu. Towards Optimal Binary Code Learning via Ordinal Embedding. AAAI, 2016. [MATLAB CODES]

Working Experiences


Reviewer: IEEE TIP, IEEE TKDE, PR, PRL, Neurocomputing, TVCJ, PLOS ONE.




Institution: School of Information Science and Engineering, Xiamen University, China

Address: Room 701, Administration Building #B, Haiyun Park, Xiamen University, 361005

E-mail: lynnliu.xmu[AT] or lynnliu0207[AT] or lynnliu[AT]


Zhun Zhong Xiamen University & University of Technology Sydney

Zhiming Luo Xiamen University

Mingbao Lin Xiamen University

Qingyuan Jiang Nanjing University

Shengchuan Zhang Xiamen University

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