I am a Researcher from the National Institute of Informatics, Japan, working with Prof. Shin’ichi Satoh. I received my doctoral degree from Xiamen University in 2020, supervised by Prof. Rongrong Ji. My research interests are in machine learning and computer vision, especially in hashing-based machine learning, Riemannian-based machine learning, and deep adversarial learning.
- Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian. Hadamard Matrix Guided Online Hashing. International Journal of Computer Vision, 2020. [CODES]
- 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. Volume: 41, Issue: 4, 2019.
- 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. [CODES]
- Hong Liu, Aiwen Jiang, Mingwen Wang, and Jianyi Wan.Local Similarity Preserved Hashing Learning via Markov Graph for Eﬃcient Similarity Search. Neurocomputing, 159, 2015.
- Xinshuai dong, Anh Tuan Luu, Rongrong Ji, and Hong Liu. Towards Robustness Against Natural Language Word Substitutions. ICLR 2021. (Spotlight) [CODES]
- Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, and Rongrong Ji. Domain General Face Forgery Detection by Learning to Weight. AAAI 2021. [CODES]
- Fengxiang Yang, Zhun Zhong Hong Liu, Zheng Wang, Zhiming Luo, Shaozi Li, Nicu Sebe, and Shin’ichi Satoh, Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning. AAAI 2021.[CODES]
- Xinshuai Dong, Hong Liu, Liujuan Cao, Rongrong Ji, Qixiang Ye, Jianzhuang Liu, and Qi Tian. API-Net: Robust Generative Classifier via a Single Discriminator. ECCV 2020.[CODES]
- Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, and David Doermann. Anti-Bandit Neural Architecture Search for Model Defense. ECCV 2020.[CODES]
- Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, and Qi Tian. Projection & Probability-Driven Black-Box Attack. CVPR, 2020.[CODES]
- Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, and Feiyue Huang. Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. ICCV, 2019. (Oral). [CODES]
- Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, and Qi Tian. Universal Perturbation Attack Against Image Retrieval. V1 and V2. ICCV, 2019. [CODES]
- Huafeng Kuang, Rongrong Ji, Hong Liu, Shengchuan Zhang, Xiaoshuai Sun, Feiyue Huang, and Baochang Zhang. Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing. ACM MM, 2019. [CODES]
- Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, and Qi Tian. Towards Visual Feature Translation. CVPR, 2019. [CODES]
- Hong Liu, Jie Li, Rongrong Ji, and Yongjian Wu. Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. AAAI, 2019. [CODES]
- Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, and Yunsheng Wu. Towards Optimal Discrete Online Hashing with Balanced Similarity. AAAI, 2019. [CODES]
- 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. [CODES]
- Mingbao Lin, Rongrong Ji, Hong Liu, and Yongjian Wu. Supervised Online Hashing via Hadamard Codebook Learning. ACM MM, 2018. (Oral). [CODES]
- 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)
- Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, and Baochang Zhang. Cross-Modality Binary Code Learning via Fusion Similarity Hashing. CVPR, 2017. [CODES]
- Hong Liu, Rongrong Ji, Yongjian Wu, and Feiyue Huang. Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. AAAI, 2017. (Oral) [CODES]
- Hong Liu, Rongrong Ji, Yongjian Wu, and Gang Hua. Supervised Matrix Factorization for Cross-Modality Hashing. IJCAI, 2016. [CODES] [STATEMENT]
- Hong Liu, Rongrong Ji, Yongjian Wu, and Wei Liu. Towards Optimal Binary Code Learning via Ordinal Embedding. AAAI, 2016. [CODES]
Journal Reviewer: IEEE TIP, IEEE TNNLS, IEEE TBD, IEEE TKDE, IEEE TC, IEEE TAI, PR, PRL, AIRE, KBS, NEUCOM, TVCJ, PLOS ONE, SIGNAL PROCESS-IMAGE.
Conference reviewer or PC member: CVPR, ICCV, ECCV, IJCAI, AAAI, WACV, ACM MM, ACCV, ICMR, ICBK.
CSIG Outstanding Doctoral Dissertation Award, China Society of Image and Graphics (CSIG), China, 2020
JSPS Fellowship, Japan, 2020
Outstanding Ph.D. Graduate Student, Xiamen University, China, 2020.
National Scholarships, China, 2019.
Highligts in ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019. (Our Team name is MAC-adv-group) (Link)
National Scholarships, China, 2017.
Highlights in MIREX 2015 Query-by-Humming, 2015. (Link)
E-mail: lynnliu.xmu[AT]gmail.com or hliu[AT]nii.ac.jp
Friends and Collaborators
Zhun Zhong, Zhiming Luo, Hao Ye, Qingyuan Jiang, Shengchuan Zhang, Jie Gui, Zheng Wang, Deng-ping Fan, Nobukatsu Kajiura, Ziling Huang