Global Biharmonic Framework for Robust Non-rigid Model Retrieval. - Zhenzhong Kuang; Zongmin Li; Qian Lv; Yujie Liu 002 (ACPR, 2013)

GBI-SA: GBI Feature with Subtle Adjustment for Robust Non-rigid 3D Shape Retrieval. - Zhenzhong Kuang; Zongmin Li; Qian Lv; Yujie Liu 002 (CAD/Graphics, 2013)

Graph Contexts for Retrieving Deformable Non-rigid 3D Shapes. - Zhenzhong Kuang; Zongmin Li; Xiaxia Jiang; Yujie Liu 002 (ICPR, 2014)

Evidence-based SVM fusion for 3D model retrieval. - Zongmin Li; Zijian Wu; Zhenzhong Kuang; Kai Chen; Yongzhou Gan; Jianping Fan 001 (Multim. Tools Appl., 2014)

A More Effective Method for Image Representation: Topic Model Based on Latent Dirichlet Allocation. - Zongmin Li; Weiwei Tian; Yante Li; Zhenzhong Kuang; Yujie Liu 002 (CAD/Graphics, 2015)

Discovering the Latent Similarities of the KNN Graph by Metric Transformation. - Zhenzhong Kuang; Zongmin Li; Jianping Fan 001 (ICMR, 2015)

Retrieval of non-rigid 3D shapes from multiple aspects. - Zhenzhong Kuang; Zongmin Li; Xiaxia Jiang; Yujie Liu 002; Hua Li 009 (Comput. Aided Des., 2015)

Modal function transformation for isometric 3D shape representation. - Zhenzhong Kuang; Zongmin Li; Qian Lv; Weiwei Tian; Yujie Liu 002 (Comput. Graph., 2015)

Exploration in improving retrieval quality and robustness for deformable non-rigid 3D shapes. - Zhenzhong Kuang; Zongmin Li; Xiaxia Jiang; Yujie Liu 002 (Multim. Tools Appl., 2015)

Multiscale shape context and re-ranking for deformable shape retrieval. - Zongmin Li; Zhenzhong Kuang; Yujie Liu 002; Jiayan Wang (Comput. Graph., 2016)

Shape similarity assessment based on partial feature aggregation and ranking lists. - Zhenzhong Kuang; Zongmin Li; Yujie Liu 002; Changqing Zou (Pattern Recognit. Lett., 2016)

Automatic Privacy Prediction to Accelerate Social Image Sharing. - Zhenzhong Kuang; Zongmin Li; Dan Lin 001; Jianping Fan 001 (BigMM, 2017)

Deep Multi-task Learning for Large-Scale Image Classification. - Zhenzhong Kuang; Zongmin Li; Tianyi Zhao; Jianping Fan 001 (BigMM, 2017)

Deep Mixture of Experts with Diverse Task Spaces. - Jianping Fan 001; Tianyi Zhao; Zhenzhong Kuang; Zhou Yu 001; Jun Yu 002 (ICMLA, 2017)

Privacy Setting Recommendation for Image Sharing. - Jun Yu 002; Zhenzhong Kuang; Zhou Yu 001; Dan Lin 001; Jianping Fan 001 (ICMLA, 2017)

Deep Mixture of Diverse Experts for Large-Scale Visual Recognition. - Tianyi Zhao; Jun Yu 002; Zhenzhong Kuang; Wei Zhang 016; Jianping Fan 001 (CoRR, 2017)

iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning. - Jun Yu 002; Baopeng Zhang; Zhengzhong Kuang; Dan Lin 001; Jianping Fan 001 (IEEE Trans. Inf. Forensics Secur., 2017)

HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition. - Jianping Fan 001; Tianyi Zhao; Zhenzhong Kuang; Yu Zheng 006; Ji Zhang 005; Jun Yu 002; Jinye Peng (IEEE Trans. Image Process., 2017)

Deep Point Convolutional Approach for 3D Model Retrieval. - Zhenzhong Kuang; Jun Yu 002; Jianping Fan 001; Min Tan 005 (ICME, 2018)

Ontology-Driven Hierarchical Deep Learning for Fashion Recognition. - Zhenzhong Kuang; Jun Yu 002; Zhou Yu 001; Jianping Fan 001 (MIPR, 2018)

Deep Learning of Path-Based Tree Classifiers for Large-Scale Plant Species Identification. - Haixi Zhang; Guiqing He; Jinye Peng; Zhenzhong Kuang; Jianping Fan 001 (MIPR, 2018)

Deformable Point Cloud Recognition Using Intrinsic Function and Deep Learning. - Zhenzhong Kuang; Jun Yu 002; Suguo Zhu; Zongmin Li; Jianping Fan 001 (PCM (2), 2018)

Integrating multi-level deep learning and concept ontology for large-scale visual recognition. - Zhenzhong Kuang; Jun Yu 002; Zongmin Li; Baopeng Zhang; Jianping Fan 001 (Pattern Recognit., 2018)

Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing. - Jun Yu 002; Zhenzhong Kuang; Baopeng Zhang; Wei Zhang 016; Dan Lin 001; Jianping Fan 001 (IEEE Trans. Inf. Forensics Secur., 2018)

Isometric Shape Representation by Integrating Shape Function Maps and Deep Learning. - Zijian Wang; Zhenzhong Kuang; Zhiqiang Guo; Suguo Zhu; Min Tan 005 (IEEE Access, 2019)

Deep Mixture of Diverse Experts for Large-Scale Visual Recognition. - Tianyi Zhao; Qiuyu Chen; Zhenzhong Kuang; Jun Yu 002; Wei Zhang 016; Jianping Fan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Effective 3-D Shape Retrieval by Integrating Traditional Descriptors and Pointwise Convolution. - Zhenzhong Kuang; Jun Yu 002; Suguo Zhu; Zongmin Li; Jianping Fan 001 (IEEE Trans. Multim., 2019)

Privacy Sensitive Large-Margin Model for Face De-Identification. - Zhiqiang Guo; Huigui Liu; Zhenzhong Kuang; Yuta Nakashima; Noboru Babaguchi (NCAA, 2020)

Revisit Point Cloud Recognition From the Viewpoint of Data Mixture. - Zhenzhong Kuang; Xin Zhang 063; Zhiqiang Guo (IEEE Access, 2020)

Aggregating diverse deep attention networks for large-scale plant species identification. - Haixi Zhang; Zhenzhong Kuang; Xianlin Peng; Guiqing He; Jinye Peng; Jianping Fan 001 (Neurocomputing, 2020)

Partial person re-identification with two-stream network and reconstruction. - Suguo Zhu; Xiaowei Gong; Zhenzhong Kuang; Junping Du 001 (Neurocomputing, 2020)

Effective De-identification Generative Adversarial Network for Face Anonymization. - Zhenzhong Kuang; Huigui Liu; Jun Yu 002; Aikui Tian; Lei Wang; Jianping Fan 001; Noboru Babaguchi (ACM Multimedia, 2021)

Reproducibility Companion Paper: Campus3D: A Photogrammetry Point Cloud Benchmark for Outdoor Scene Hierarchical Understanding. - Yuqing Liao; Xinke Li; Zekun Tong; Yabang Zhao; Andrew Lim 001; Zhenzhong Kuang; Cise Midoglu (ACM Multimedia, 2021)

Reproducibility Companion Paper: Visual Relation of Interest Detection. - Fan Yu 003; Haonan Wang; Tongwei Ren; Jinhui Tang 001; Gangshan Wu; Jingjing Chen 001; Zhenzhong Kuang (ACM Multimedia, 2021)

Preventing Fake Information Generation Against Media Clone Attacks. - Noboru Babaguchi; Isao Echizen; Junichi Yamagishi; Naoko Nitta; Yuta Nakashima; Kazuaki Nakamura; Kazuhiro Kono; Fuming Fang; Seiko Myojin; Zhenzhong Kuang; Huy H. Nguyen; Ngoc-Dung T. Tieu (IEICE Trans. Inf. Syst., 2021)

Generation and Detection of Media Clones. - Isao Echizen; Noboru Babaguchi; Junichi Yamagishi; Naoko Nitta; Yuta Nakashima; Kazuaki Nakamura; Kazuhiro Kono; Fuming Fang; Seiko Myojin; Zhenzhong Kuang; Huy H. Nguyen; Ngoc-Dung T. Tieu (IEICE Trans. Inf. Syst., 2021)

Unnoticeable synthetic face replacement for image privacy protection. - Zhenzhong Kuang; Zhiqiang Guo; Jinglong Fang; Jun Yu 002; Noboru Babaguchi; Jianping Fan 001 (Neurocomputing, 2021)

Deep embedding of concept ontology for hierarchical fashion recognition. - Zhenzhong Kuang; Xin Zhang 063; Jun Yu 002; Zongmin Li; Jianping Fan 001 (Neurocomputing, 2021)

Delegate-based Utility Preserving Synthesis for Pedestrian Image Anonymization. - Zhenzhong Kuang; Longbin Teng; Zhou Yu 001; Jun Yu 002; Jianping Fan 001; Mingliang Xu 001 (ACM Multimedia, 2022)

Anonymous identity sampling and reusable synthesis for face camouflage. - Zhenzhong Kuang; Longbin Teng; Xingchi He; Jiajun Ding; Yuta Nakashima; Noboru Babaguchi (J. Electronic Imaging, 2022)

Hyperplane patch mixing-and-folding decoder and weighted chamfer distance loss for 3D point set reconstruction. - Takahiko Furuya; Wujie Liu; Ryutarou Ohbuchi; Zhenzhong Kuang (Vis. Comput., 2023)

Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction. - Zhenzhong Kuang; Xiaochen Yang; Yingjie Shen; Chao Hu; Jun Yu 002 (CVPR, 2024)

Latent Representation Reorganization for Face Privacy Protection. - Zhengzhong Kuang; Jianan Lu; Chenhui Hong; Haobin Huang; Suguo Zhu; Xiaowei Zhao; Jun Yu 002; Jianping Fan 007 (ACM Multimedia, 2024)

SRGS: Super-Resolution 3D Gaussian Splatting. - Xiang Feng; Yongbo He; Yubo Wang; Yan Yang; Zhenzhong Kuang; Jun Yu 002; Jianping Fan 001; Jiajun Ding (CoRR, 2024)

Self-supervised learning of rotation-invariant 3D point set features using transformer and its self-distillation. - Takahiko Furuya; Zhoujie Chen; Ryutarou Ohbuchi; Zhenzhong Kuang (Comput. Vis. Image Underst., 2024)

ZS-SRT: An efficient zero-shot super-resolution training method for Neural Radiance Fields. - Xiang Feng; Yongbo He; Yubo Wang; Chengkai Wang; Zhenzhong Kuang; Jiajun Ding; Feiwei Qin; Jun Yu 002; Jianping Fan 001 (Neurocomputing, 2024)

Confidence correction for trained graph convolutional networks. - Junqing Yuan; Huanlei Guo; Chenyi Zhou; Jiajun Ding; Zhenzhong Kuang; Zhou Yu 001; Yuan Liu (Pattern Recognit., 2024)

Semantic-aware hyper-space deformable neural radiance fields for facial avatar reconstruction. - Kaixin Jin; Xiaoling Gu; Zimeng Wang; Zhenzhong Kuang; Zizhao Wu; Min Tan 005; Jun Yu 002 (Pattern Recognit. Lett., 2024)

iDesigner: making intelligent fashion designs. - Xiaoling Gu; Qiming Yao; Xiaojun Gong; Zhenzhong Kuang (Multim. Tools Appl., 2024)

Imp: Highly Capable Large Multimodal Models for Mobile Devices. - Zhenwei Shao; Zhou Yu 001; Jun Yu 002; Xuecheng Ouyang; Lihao Zheng; Zhenbiao Gai; Mingyang Wang; Zhenzhong Kuang; Jiajun Ding (IEEE Trans. Multim., 2025)

Collaborative neural radiance fields for novel view synthesis. - Junqing Yuan; Mengting Fan; Zhenyang Liu; Tongxuan Han; Zhenzhong Kuang; Chihao Pan; Jiajun Ding (Vis. Comput., 2025)

Innovative AI techniques for photorealistic 3D clothed human reconstruction from monocular images or videos: a survey. - Shuo Yang; Xiaoling Gu; Zhenzhong Kuang; Feiwei Qin; Zizhao Wu (Vis. Comput., 2025)

VC-GS: view-consistent deblurring Gaussian splatting via alternating branch optimization. - Qida Cao; Jiajun Ding; Zhenyang Liu; Zhenzhong Kuang; Yijie Shao; Yilan Shen (Vis. Comput., 2025)