Taisong Jin

55 papers A* 10C 2Misc 3Journal 31Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition.
AAAI
Zhongwei Xiong, Hao Wang, Xiaoyan Yu, Lingling Li, Xuezhuan Zhao, Taisong Jin
2026 J jnl
Local augmentation and debiasing for graph contrastive learning.
Neurocomputing
Shihao Gao, Lingling Li, Zhongwei Xiong, Taisong Jin
2025 A* conf
CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors.
IJCAI
Donghao Luo, Yujie Liang, Xu Peng, Xiaobin Hu, Boyuan Jiang, Chengming Xu, Taisong Jin, Chengjie Wang, Yanwei Fu
2025 J jnl
CrossVTON: Mimicking the Logic Reasoning on Cross-category Virtual Try-on guided by Tri-zone Priors.
CoRR
Donghao Luo, Yujie Liang, Xu Peng, Xiaobin Hu, Boyuan Jiang, Chengming Xu, Taisong Jin, Chengjie Wang, Yanwei Fu
2025 J jnl
DAMamba: Vision State Space Model with Dynamic Adaptive Scan.
CoRR
Tanzhe Li, Caoshuo Li, Jiayi Lyu, Hongjuan Pei, Baochang Zhang, Taisong Jin, Rongrong Ji
2025 A* conf
DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition.
CVPR
Caoshuo Li, Tanzhe Li, Xiaobin Hu, Donghao Luo, Taisong Jin
2025 J jnl
DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition.
CoRR
Caoshuo Li, Tanzhe Li, Xiaobin Hu, Donghao Luo, Taisong Jin
2025 A* conf
Dynamic Clustering Convolutional Neural Network.
AAAI
Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin
2025 Misc conf
Graph Contrastive Learning with Decoupled Augmentation.
ICASSP
Shihao Gao, Caoshuo Li, Cunli Mao, Xulong Zhang, Xiaoyang Qu, Taisong Jin, Jianzong Wang
2025 Misc conf
Homogeneous Graph Extraction: An Approach to Learning Heterogeneous Graph Embedding.
ICASSP
Shihao Gao, Xiaoyan Yu, Yu Cai, Xulong Zhang, Jianzong Wang, Taisong Jin
2025 — conf
HyperKGC: Hypergraph-Enhanced Multimodal Knowledge Graph Completion with Dynamic Fusion.
PRCV (5)
Huadong Chen, Xiaoyan Yu, Bang Li, Ming Yin, Taisong Jin
2025 A* conf
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach.
AAAI
Linhuang Xie, Shihao Gao, Jie Liu, Ming Yin, Taisong Jin
2025 J jnl
OracleAgent: A Multimodal Reasoning Agent for Oracle Bone Script Research.
CoRR
Caoshuo Li, Zengmao Ding, Xiaobin Hu, Bang Li, Donghao Luo, Xu Peng, Taisong Jin, Yongge Liu, Shengwei Han, Jing Yang, Xiaoping He, Feng Gao, AndyPian Wu, SevenShu, Chaoyang Wang, Chengjie Wang
2025 J jnl
OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography.
CoRR
Caoshuo Li, Zengmao Ding, Xiaobin Hu, Bang Li, Donghao Luo, AndyPian Wu, Chaoyang Wang, Chengjie Wang, Taisong Jin, SevenShu, Yunsheng Wu, Yongge Liu, Rongrong Ji
2025 J jnl
Skeleton action recognition via group sparsity constrained variant graph auto-encoder.
Image Vis. Comput.
Hongjuan Pei, Jiaying Chen, Shihao Gao, Taisong Jin, Ke Lu
2025 A* conf
VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding.
CVPR
Yujie Liang, Xiaobin Hu, Boyuan Jiang, Donghao Luo, Xu Peng, Kai Wu, Chengming Xu, Wenhui Han, Taisong Jin, Chengjie Wang, Rongrong Ji
2024 — conf
DiffuMatting: Synthesizing Arbitrary Objects with Matting-Level Annotation.
ECCV (68)
Xiaobin Hu, Xu Peng, Donghao Luo, Xiaozhong Ji, Jinlong Peng, Zhengkai Jiang, Jiangning Zhang, Taisong Jin, Chengjie Wang, Rongrong Ji
2024 J jnl
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation.
CoRR
Xiaobin Hu, Xu Peng, Donghao Luo, Xiaozhong Ji, Jinlong Peng, Zhengkai Jiang, Jiangning Zhang, Taisong Jin, Chengjie Wang, Rongrong Ji
2024 A* conf
Hypergraph Neural Architecture Search.
AAAI
Wei Lin, Xu Peng, Zhengtao Yu, Taisong Jin
2024 J jnl
MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck.
IEEE Trans. Ind. Informatics
Ming Yin, Xin Liu, Junli Gao, Haoliang Yuan, Taisong Jin, Shengwei Zhang, Lingling Li
2024 J jnl
Oracle Bone Inscriptions Multi-modal Dataset.
CoRR
Bang Li, Donghao Luo, Yujie Liang, Jing Yang, Zengmao Ding, Xu Peng, Boyuan Jiang, Shengwei Han, Dan Sui, Peichao Qin, Pian Wu, Chaoyang Wang, Yun Qi, Taisong Jin, Chengjie Wang, Xiaoming Huang, Zhan Shu, Rongrong Ji, Yongge Liu, Yunsheng Wu
2024 A* conf
PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved Personalization.
CVPR
Xu Peng, Junwei Zhu, Boyuan Jiang, Ying Tai, Donghao Luo, Jiangning Zhang, Wei Lin, Taisong Jin, Chengjie Wang, Rongrong Ji
2024 — conf
Self-Quantization with Adaptive Codebooks for Unsupervised Image Retrieval.
PRCV (10)
Yujie Liang, Tanzhe Li, Xiaoyan Yu, Bang Li, Taisong Jin
2024 J jnl
VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding.
CoRR
Yujie Liang, Xiaobin Hu, Boyuan Jiang, Donghao Luo, Kai Wu, Wenhui Han, Taisong Jin, Chengjie Wang
2024 J jnl
WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst.
Taisong Jin, Xixi Yang, Zhengtao Yu, Han Luo, Yongmei Zhang, Feiran Jie, Xiangxiang Zeng, Min Jiang
2023 J jnl
A Unified Framework for 3D Point Cloud Visual Grounding.
CoRR
Haojia Lin, Yongdong Luo, Xiawu Zheng, Lijiang Li, Fei Chao, Taisong Jin, Donghao Luo, Chengjie Wang, Yan Wang, Liujuan Cao
2023 — conf
CSMPQ: Class Separability Based Mixed-Precision Quantization.
ICIC (1)
Mingkai Wang, Taisong Jin, Miaohui Zhang, Zhengtao Yu
2023 — conf
GLViG: Global and Local Vision GNN May Be What You Need for Vision.
PRCV (9)
Tanzhe Li, Wei Lin, Xiawu Zheng, Taisong Jin
2023 — conf
Hessian Non-negative Hypergraph.
ICIC (5)
Lingling Li, Zihang Li, Mingkai Wang, Taisong Jin, Jie Liu
2023 — conf
Multi-head Attention Induced Dynamic Hypergraph Convolutional Networks.
PRCV (9)
Xu Peng, Wei Lin, Taisong Jin
2023 A* conf
OMPQ: Orthogonal Mixed Precision Quantization.
AAAI
Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji
2023 J jnl
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization.
CoRR
Xu Peng, Junwei Zhu, Boyuan Jiang, Ying Tai, Donghao Luo, Jiangning Zhang, Wei Lin, Taisong Jin, Chengjie Wang, Rongrong Ji
2023 J jnl
Ridge-Regression-Induced Robust Graph Relational Network.
IEEE Trans. Cybern.
Taisong Jin, Jie Liu, Huaqiang Dai, Lingling Li, Fenlin Liu, Yongdong Zhang
2022 J jnl
CSMPQ: Class Separability Based Mixed-Precision Quantization.
CoRR
Mingkai Wang, Taisong Jin, Miaohui Zhang, Zhengtao Yu
2022 J jnl
Deepwalk-aware graph convolutional networks.
Sci. China Inf. Sci.
Taisong Jin, Huaqiang Dai, Liujuan Cao, Baochang Zhang, Feiyue Huang, Yue Gao, Rongrong Ji
2022 J jnl
Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network.
Neural Process. Lett.
Lingling Li, Changwen Zheng, Cunli Mao, Haibo Deng, Taisong Jin
2021 J jnl
Atrous spatial pyramid convolution for object detection with encoder-decoder.
Neurocomputing
Feiran Jie, Qingfeng Nie, Mingsuo Li, Ming Yin, Taisong Jin
2021 J jnl
Cauchy loss induced block diagonal representation for robust multi-view subspace clustering.
Neurocomputing
Ming Yin, Wei Liu, Mingsuo Li, Taisong Jin, Rongrong Ji
2021 J jnl
OMPQ: Orthogonal Mixed Precision Quantization.
CoRR
Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Guannan Jiang, Wei Zhang, Rongrong Ji
2020 J jnl
Link-aware semi-supervised hypergraph.
Inf. Sci.
Taisong Jin, Liujuan Cao, Feiran Jie, Rongrong Ji
2019 J jnl
Correntropy-Induced Robust Low-Rank Hypergraph.
IEEE Trans. Image Process.
Taisong Jin, Rongrong Ji, Yue Gao, Xiaoshuai Sun, Xibin Zhao, Dacheng Tao
2019 A* conf
Hypergraph Induced Convolutional Manifold Networks.
IJCAI
Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji
2019 J jnl
Multi-view low-rank matrix factorization using multiple manifold regularization.
Neurocomputing
Shengxiang Gao, Zhengtao Yu, Taisong Jin, Ming Yin
2019 J jnl
Robust ℓ2-Hypergraph and its applications.
Inf. Sci.
Taisong Jin, Zhengtao Yu, Yue Gao, Shengxiang Gao, Xiaoshuai Sun, Cuihua Li
2017 J jnl
Locality Preserving Collaborative Representation for Face Recognition.
Neural Process. Lett.
Taisong Jin, Zhiling Liu, Zhengtao Yu, Xiaoping Min, Lingling Li
2016 J jnl
Expert list-wise ranking method based on sparse learning.
Neurocomputing
Liren Wang, Zhengtao Yu, Taisong Jin, Xianhui Li, Shengxiang Gao
2015 J jnl
Low-rank matrix factorization with multiple Hypergraph regularizer.
Pattern Recognit.
Taisong Jin, Jun Yu, Jane You, Kun Zeng, Cuihua Li, Zhengtao Yu
2015 J jnl
Multiple graph regularized sparse coding and multiple hypergraph regularized sparse coding for image representation.
Neurocomputing
Taisong Jin, Zhengtao Yu, Lingling Li, Cuihua Li
2014 J jnl
Image clustering by hyper-graph regularized non-negative matrix factorization.
Neurocomputing
Kun Zeng, Jun Yu, Cuihua Li, Jane You, Taisong Jin
2014 C conf
JTS-based static branch prediction.
ICCE
Taisong Jin, Jinseok Lee, Minwook Ahn, Yoonseo Choi, Do Hyung Kim, Shihwa Lee
2014 C conf
Nop compression scheme for high speed DSPs based on VLIW architecture.
ICCE
Taisong Jin, Minwook Ahn, Donghoon Yoo, Dongkwan Suh, Yoonseo Choi, Do Hyung Kim, Shihwa Lee
2012 — conf
Location and Route Tracking in University from Photos without GPS Information.
PCM
Mingxia Lin, Shi-chang Hu, Cuihua Li, Taisong Jin, Quan Zou
2011 J jnl
An optimization criterion for generalized marginal Fisher analysis on undersampled problems.
Int. J. Autom. Comput.
Wu-Yi Yang, Shengxing Liu, Taisong Jin, Xiaomei Xu
2010 — conf
A conditional random field model for image parsing.
ICIMCS
Lingling Li, Taisong Jin, Guohua Zhang
2010 Misc conf
An approach to the interpretation of aerial image.
ICMLC
Ling-Ling Li, Taisong Jin, Hua Shi, Cuihua Li