Towards Optimal Binary Code Learning via Ordinal Embedding. - Hong Liu 009; Rongrong Ji; Yongjian Wu 001; Wei Liu 005 (AAAI, 2016)

Supervised Matrix Factorization for Cross-Modality Hashing. - Hong Liu 009; Rongrong Ji; Yongjian Wu 001; Gang Hua 001 (IJCAI, 2016)

Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. - Hong Liu 009; Rongrong Ji; Yongjian Wu 001; Feiyue Huang (AAAI, 2017)

Cross-Modality Binary Code Learning via Fusion Similarity Hashing. - Hong Liu 009; Rongrong Ji; Yongjian Wu 001; Feiyue Huang; Baochang Zhang 001 (CVPR, 2017)

Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding. - Rongrong Ji; Hong Liu 009; Liujuan Cao; Di Liu; Yongjian Wu 001; Feiyue Huang (IEEE Trans. Image Process., 2017)

Towards Compact Visual Descriptor via Deep Fisher Network with Binary Embedding. - Jianqiang Qian; Xianming Lin; Hong Liu 009; Youming Deng; Rongrong Ji (ICME, 2018)

Supervised Online Hashing via Hadamard Codebook Learning. - Mingbao Lin; Rongrong Ji; Hong Liu 009; Yongjian Wu 001 (ACM Multimedia, 2018)

Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval. - Hong Liu 009; Mingbao Lin; Shengchuan Zhang; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (ACM Multimedia, 2018)

Less is More: Unified Model for Unsupervised Multi-Domain Image-to-Image Translation. - Xiao Liu 014; Shengchuan Zhang; Hong Liu 009; Xin Liu 011; Rongrong Ji (CoRR, 2018)

Towards Optimal Discrete Online Hashing with Balanced Similarity. - Mingbao Lin; Rongrong Ji; Hong Liu 009; Xiaoshuai Sun; Yongjian Wu 001; Yunsheng Wu (AAAI, 2019)

Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. - Hong Liu 009; Jie Li 052; Yongjian Wu 001; Rongrong Ji (AAAI, 2019)

Towards Visual Feature Translation. - Jie Hu 018; Rongrong Ji; Hong Liu 009; Shengchuan Zhang; Cheng Deng; Qi Tian 001 (CVPR, 2019)

Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. - Hong Liu 009; Rongrong Ji; Jie Li 052; Baochang Zhang 001; Yue Gao 002; Yongjian Wu 001; Feiyue Huang (ICCV, 2019)

Universal Perturbation Attack Against Image Retrieval. - Jie Li 052; Rongrong Ji; Hong Liu 009; Xiaopeng Hong; Yue Gao 002; Qi Tian 001 (ICCV, 2019)

Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing. - Huafeng Kuang; Rongrong Ji; Hong Liu 009; Shengchuan Zhang; Xiaoshuai Sun; Feiyue Huang; Baochang Zhang 001 (ACM Multimedia, 2019)

Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search. - Hong Liu 009; Rongrong Ji; Jingdong Wang 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Projection & Probability-Driven Black-Box Attack. - Jie Li 052; Rongrong Ji; Hong Liu 009; Jianzhuang Liu; Bineng Zhong; Cheng Deng; Qi Tian 001 (CVPR, 2020)

Anti-bandit Neural Architecture Search for Model Defense. - Hanlin Chen; Baochang Zhang 001; Song Xue; Xuan Gong; Hong Liu 009; Rongrong Ji; David S. Doermann (ECCV (13), 2020)

API-Net: Robust Generative Classifier via a Single Discriminator. - Xinshuai Dong; Hong Liu 009; Rongrong Ji; Liujuan Cao; Qixiang Ye; Jianzhuang Liu; Qi Tian 001 (ECCV (13), 2020)

Hadamard Matrix Guided Online Hashing. - Mingbao Lin; Rongrong Ji; Hong Liu 009; Xiaoshuai Sun; Shen Chen; Qi Tian 001 (Int. J. Comput. Vis., 2020)

Domain General Face Forgery Detection by Learning to Weight. - Ke Sun 016; Hong Liu 009; Qixiang Ye; Yue Gao 002; Jianzhuang Liu; Ling Shao 001; Rongrong Ji (AAAI, 2021)

Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning. - Fengxiang Yang; Zhun Zhong; Hong Liu 009; Zheng Wang 007; Zhiming Luo; Shaozi Li; Nicu Sebe; Shin'ichi Satoh 001 (AAAI, 2021)

Towards Robustness Against Natural Language Word Substitutions. - Xinshuai Dong; Anh Tuan Luu; Rongrong Ji; Hong Liu 009 (ICLR, 2021)

Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels. - Nobukatsu Kajiura; Hong Liu 009; Shin'ichi Satoh 001 (MMAsia, 2021)

Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. - Yixu Wang; Jie Li 052; Hong Liu 009; Yongjian Wu 001; Rongrong Ji (CoRR, 2021)

Deep Facial Synthesis: A New Challenge. - Deng-Ping Fan; Ziling Huang; Peng Zheng 004; Hong Liu 009; Xuebin Qin; Luc Van Gool (CoRR, 2021)

An Information Theoretic Approach for Attention-Driven Face Forgery Detection. - Ke Sun 016; Hong Liu 009; Taiping Yao; Xiaoshuai Sun; Shen Chen; Shouhong Ding; Rongrong Ji (ECCV (14), 2022)

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack. - Yixu Wang; Jie Li 052; Hong Liu 009; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (ECCV (5), 2022)

Attentive Decoupling Network for Cloth-Changing Re-Identification. - Zhengwei Yang; Xian Zhong; Hong Liu 009; Zhun Zhong; Zheng Wang 007 (ICME, 2022)

Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning. - Zelong Zeng; Fan Yang 038; Hong Liu 009; Shin'ichi Satoh 001 (CoRR, 2022)

Facial-sketch Synthesis: A New Challenge. - Deng-Ping Fan; Ziling Huang; Peng Zheng 004; Hong Liu 009; Xuebin Qin; Luc Van Gool (Int. J. Autom. Comput., 2022)

Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. - Liujuan Cao; Huafeng Kuang; Hong Liu 009; Yan Wang 059; Baochang Zhang 001; Feiyue Huang; Yongjian Wu 001; Rongrong Ji (Int. J. Softw. Informatics, 2022)

STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection. - Zhenglin Zhou; Huaxia Li; Hong Liu 009; Nanyang Wang; Gang Yu 002; Rongrong Ji (CVPR, 2023)

Improving Adversarial Robustness via Information Bottleneck Distillation. - Huafeng Kuang; Hong Liu 009; Yongjian Wu 001; Shin'ichi Satoh 001; Rongrong Ji (NeurIPS, 2023)

Latent Feature Relation Consistency for Adversarial Robustness. - Xingbin Liu; Huafeng Kuang; Hong Liu 009; Xianming Lin; Yongjian Wu 001; Rongrong Ji (CoRR, 2023)

Rethinking Adversarial Training with A Simple Baseline. - Hong Liu 009; Shin'ichi Satoh 001 (CoRR, 2023)

Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation. - Wenhao Li 002; Mengyuan Liu; Hong Liu 009; Pichao Wang; Jialun Cai; Nicu Sebe (CoRR, 2023)

Semantically Consistent Visual Representation for Adversarial Robustness. - Huafeng Kuang; Hong Liu 009; Yongjian Wu 001; Rongrong Ji (IEEE Trans. Inf. Forensics Secur., 2023)

Win-Win by Competition: Auxiliary-Free Cloth-Changing Person Re-Identification. - Zhengwei Yang; Xian Zhong; Zhun Zhong; Hong Liu 009; Zheng Wang 007; Shin'ichi Satoh 001 (IEEE Trans. Image Process., 2023)

Mitigating robust overfitting via self-residual-calibration regularization. - Hong Liu 009; Zhun Zhong; Nicu Sebe; Shin'ichi Satoh 001 (Artif. Intell., 2023)

Towards Robust Person Re-Identification by Defending Against Universal Attackers. - Fengxiang Yang; Juanjuan Weng; Zhun Zhong; Hong Liu 009; Zheng Wang 007; Zhiming Luo; Donglin Cao; Shaozi Li; Shin'ichi Satoh 001; Nicu Sebe (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search. - Antoine Gratia; Hong Liu 009; Shin'ichi Satoh 001; Paul Temple; Pierre-Yves Schobbens; Gilles Perrouin (ESANN, 2024)

Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint). - Hong Liu 009; Zhun Zhong; Nicu Sebe; Shin'ichi Satoh 001 (IJCAI, 2024)

DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion. - Ke Sun 016; Shen Chen; Taiping Yao; Hong Liu 009; Xiaoshuai Sun; Shouhong Ding; Rongrong Ji (NeurIPS, 2024)

Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation. - Ti Wang; Mengyuan Liu; Hong Liu 009; Bin Ren; Yingxuan You; Wenhao Li 002; Nicu Sebe; Xia Li 005 (CoRR, 2024)

Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training. - Huafeng Kuang; Hong Liu 009; Xianming Lin; Rongrong Ji (IEEE Trans. Inf. Forensics Secur., 2024)

Deep Counterfactual Representation Learning for Visual Recognition Against Weather Corruptions. - Hong Liu 009; Yongqing Sun; Yukihiro Bandoh; Masaki Kitahara; Shin'ichi Satoh 001 (IEEE Trans. Multim., 2024)

Improving deep metric learning via self-distillation and online batch diffusion process. - Zelong Zeng; Fan Yang 038; Hong Liu 009; Shin'ichi Satoh 001 (Vis. Intell., 2024)

Deep Dual Internal Learning for Hyperspectral Image Super-Resolution. - Yongqing Sun; Hong Liu 009; Qiong Chang; Xianhua Han (MMM (1), 2025)

Guest Editorial: Special Issue on Open-World Visual Recognition. - Zhun Zhong; Hong Liu 009; Yin Cui; Shin'ichi Satoh 001; Nicu Sebe; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2025)

Conditional Diffusion Models for Camouflaged and Salient Object Detection. - Ke Sun 016; Zhongxi Chen; Xianming Lin; Xiaoshuai Sun; Hong Liu 009; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2025)