A conditional random field model for image parsing. - Lingling Li; Taisong Jin; Guohua Zhang (ICIMCS, 2010)

An approach to the interpretation of aerial image. - Ling-Ling Li; Taisong Jin; Hua Shi; Cuihua Li (ICMLC, 2010)

An optimization criterion for generalized marginal Fisher analysis on undersampled problems. - Wu-Yi Yang; Shengxing Liu; Taisong Jin; Xiaomei Xu (Int. J. Autom. Comput., 2011)

Location and Route Tracking in University from Photos without GPS Information. - Mingxia Lin; Shi-chang Hu; Cuihua Li; Taisong Jin; Quan Zou 001 (PCM, 2012)

Nop compression scheme for high speed DSPs based on VLIW architecture. - Taisong Jin; Minwook Ahn; Donghoon Yoo; Dongkwan Suh; Yoonseo Choi; Do Hyung Kim 002; Shihwa Lee (ICCE, 2014)

JTS-based static branch prediction. - Taisong Jin; Jinseok Lee; Minwook Ahn; Yoonseo Choi; Do Hyung Kim 002; Shihwa Lee (ICCE, 2014)

Image clustering by hyper-graph regularized non-negative matrix factorization. - Kun Zeng; Jun Yu 002; Cuihua Li; Jane You; Taisong Jin (Neurocomputing, 2014)

Multiple graph regularized sparse coding and multiple hypergraph regularized sparse coding for image representation. - Taisong Jin; Zhengtao Yu 001; Lingling Li; Cuihua Li (Neurocomputing, 2015)

Low-rank matrix factorization with multiple Hypergraph regularizer. - Taisong Jin; Jun Yu 002; Jane You; Kun Zeng; Cuihua Li; Zhengtao Yu 001 (Pattern Recognit., 2015)

Expert list-wise ranking method based on sparse learning. - Liren Wang; Zhengtao Yu 001; Taisong Jin; Xianhui Li; Shengxiang Gao (Neurocomputing, 2016)

Locality Preserving Collaborative Representation for Face Recognition. - Taisong Jin; Zhiling Liu; Zhengtao Yu 001; Xiaoping Min; Lingling Li (Neural Process. Lett., 2017)

Hypergraph Induced Convolutional Manifold Networks. - Taisong Jin; Liujuan Cao; Baochang Zhang 001; Xiaoshuai Sun; Cheng Deng; Rongrong Ji (IJCAI, 2019)

Multi-view low-rank matrix factorization using multiple manifold regularization. - Shengxiang Gao; Zhengtao Yu 001; Taisong Jin; Ming Yin 002 (Neurocomputing, 2019)

Robust ℓ2-Hypergraph and its applications. - Taisong Jin; Zhengtao Yu 001; Yue Gao 002; Shengxiang Gao; Xiaoshuai Sun; Cuihua Li (Inf. Sci., 2019)

Correntropy-Induced Robust Low-Rank Hypergraph. - Taisong Jin; Rongrong Ji; Yue Gao 002; Xiaoshuai Sun; Xibin Zhao; Dacheng Tao (IEEE Trans. Image Process., 2019)

Link-aware semi-supervised hypergraph. - Taisong Jin; Liujuan Cao; Feiran Jie; Rongrong Ji (Inf. Sci., 2020)

OMPQ: Orthogonal Mixed Precision Quantization. - Yuexiao Ma; Taisong Jin; Xiawu Zheng; Yan Wang 059; Huixia Li; Guannan Jiang; Wei Zhang 217; Rongrong Ji (CoRR, 2021)

Atrous spatial pyramid convolution for object detection with encoder-decoder. - Feiran Jie; Qingfeng Nie; Mingsuo Li; Ming Yin 002; Taisong Jin (Neurocomputing, 2021)

Cauchy loss induced block diagonal representation for robust multi-view subspace clustering. - Ming Yin 002; Wei Liu; Mingsuo Li; Taisong Jin; Rongrong Ji (Neurocomputing, 2021)

Deepwalk-aware graph convolutional networks. - Taisong Jin; Huaqiang Dai; Liujuan Cao; Baochang Zhang 001; Feiyue Huang; Yue Gao 002; Rongrong Ji (Sci. China Inf. Sci., 2022)

Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network. - Lingling Li; Changwen Zheng; Cunli Mao; Haibo Deng; Taisong Jin (Neural Process. Lett., 2022)

OMPQ: Orthogonal Mixed Precision Quantization. - Yuexiao Ma; Taisong Jin; Xiawu Zheng; Yan Wang 059; Huixia Li; Yongjian Wu 001; Guannan Jiang; Wei Zhang 217; Rongrong Ji (AAAI, 2023)

Hessian Non-negative Hypergraph. - Lingling Li; Zihang Li; Mingkai Wang; Taisong Jin; Jie Liu (ICIC (5), 2023)

CSMPQ: Class Separability Based Mixed-Precision Quantization. - Mingkai Wang; Taisong Jin; Miaohui Zhang; Zhengtao Yu 001 (ICIC (1), 2023)

GLViG: Global and Local Vision GNN May Be What You Need for Vision. - Tanzhe Li; Wei Lin 004; Xiawu Zheng; Taisong Jin (PRCV (9), 2023)

Multi-head Attention Induced Dynamic Hypergraph Convolutional Networks. - Xu Peng; Wei Lin 004; Taisong Jin (PRCV (9), 2023)

A Unified Framework for 3D Point Cloud Visual Grounding. - Haojia Lin; Yongdong Luo; Xiawu Zheng; Lijiang Li; Fei Chao 001; Taisong Jin; Donghao Luo 001; Chengjie Wang; Yan Wang 059; Liujuan Cao (CoRR, 2023)

Ridge-Regression-Induced Robust Graph Relational Network. - Taisong Jin; Jie Liu 022; Huaqiang Dai; Lingling Li; Fenlin Liu; Yongdong Zhang 001 (IEEE Trans. Cybern., 2023)

Hypergraph Neural Architecture Search. - Wei Lin; Xu Peng; Zhengtao Yu 001; Taisong Jin (AAAI, 2024)

PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved Personalization. - Xu Peng; Junwei Zhu; Boyuan Jiang; Ying Tai; Donghao Luo 001; Jiangning Zhang; Wei Lin 004; Taisong Jin; Chengjie Wang; Rongrong Ji (CVPR, 2024)

DiffuMatting: Synthesizing Arbitrary Objects with Matting-Level Annotation. - Xiaobin Hu; Xu Peng; Donghao Luo 001; Xiaozhong Ji; Jinlong Peng; Zhengkai Jiang 001; Jiangning Zhang; Taisong Jin; Chengjie Wang; Rongrong Ji (ECCV (68), 2024)

Self-Quantization with Adaptive Codebooks for Unsupervised Image Retrieval. - Yujie Liang; Tanzhe Li; Xiaoyan Yu; Bang Li; Taisong Jin (PRCV (10), 2024)

Oracle Bone Inscriptions Multi-modal Dataset. - Bang Li; Donghao Luo 001; Yujie Liang; Jing Yang; Zengmao Ding; Xu Peng; Boyuan Jiang; Shengwei Han; Dan Sui; Peichao Qin; Pian Wu; Chaoyang Wang; et al. (CoRR, 2024)

VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding. - Yujie Liang; Xiaobin Hu; Boyuan Jiang; Donghao Luo 001; Kai Wu; Wenhui Han; Taisong Jin; Chengjie Wang (CoRR, 2024)

WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks. - Taisong Jin; Xixi Yang; Zhengtao Yu 001; Han Luo; Yongmei Zhang; Feiran Jie; Xiangxiang Zeng; Min Jiang 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck. - Ming Yin 002; Xin Liu; Junli Gao; Haoliang Yuan; Taisong Jin; Shengwei Zhang; Lingling Li (IEEE Trans. Ind. Informatics, 2024)

Dynamic Clustering Convolutional Neural Network. - Tanzhe Li; Baochang Zhang 001; Jiayi Lyu; Xiawu Zheng; Guodong Guo; Taisong Jin (AAAI, 2025)

K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach. - Linhuang Xie; Shihao Gao; Jie Liu; Ming Yin 002; Taisong Jin (AAAI, 2025)

DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition. - Caoshuo Li; Tanzhe Li; Xiaobin Hu; Donghao Luo 001; Taisong Jin (CVPR, 2025)

VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding. - Yujie Liang; Xiaobin Hu; Boyuan Jiang; Donghao Luo 001; Xu Peng; Kai Wu; Chengming Xu 001; Wenhui Han; Taisong Jin; Chengjie Wang; Rongrong Ji (CVPR, 2025)

Graph Contrastive Learning with Decoupled Augmentation. - Shihao Gao; Caoshuo Li; Cunli Mao; Xulong Zhang 001; Xiaoyang Qu; Taisong Jin; Jianzong Wang (ICASSP, 2025)

Homogeneous Graph Extraction: An Approach to Learning Heterogeneous Graph Embedding. - Shihao Gao; Xiaoyan Yu; Yu Cai; Xulong Zhang 001; Jianzong Wang; Taisong Jin (ICASSP, 2025)

Skeleton action recognition via group sparsity constrained variant graph auto-encoder. - Hongjuan Pei; Jiaying Chen; Shihao Gao; Taisong Jin; Ke Lu (Image Vis. Comput., 2025)

DAMamba: Vision State Space Model with Dynamic Adaptive Scan. - Tanzhe Li; Caoshuo Li; Jiayi Lyu; Hongjuan Pei; Baochang Zhang 001; Taisong Jin; Rongrong Ji (CoRR, 2025)

CrossVTON: Mimicking the Logic Reasoning on Cross-category Virtual Try-on guided by Tri-zone Priors. - Donghao Luo 001; Yujie Liang; Xu Peng; Xiaobin Hu; Boyuan Jiang; Chengming Xu 001; Taisong Jin; Chengjie Wang; Yanwei Fu 001 (CoRR, 2025)

OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography. - Caoshuo Li; Zengmao Ding; Xiaobin Hu; Bang Li; Donghao Luo 001; AndyPian Wu; Chaoyang Wang; Chengjie Wang; Taisong Jin; SevenShu; Yunsheng Wu; Yongge Liu; et al. (CoRR, 2025)