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2020 – today
- 2025
[j36]Weigang Lu
, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, Dacheng Tao:
Pseudo Contrastive Learning for graph-based semi-supervised learning. Neurocomputing 624: 129375 (2025)- [j35]Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu:
Hypnos: A domain-specific large language model for anesthesiology. Neurocomputing 624: 129389 (2025) - [j34]Jianping Gou, Jiaye Lin, Lin Li, Weihua Ou, Baosheng Yu, Zhang Yi:
Intra-class progressive and adaptive self-distillation. Neural Networks 188: 107404 (2025) - [j33]Jianping Gou, Xiaomeng Xin, Baosheng Yu, Heping Song, Weiyong Zhang, Shaohua Wan:
Neighborhood relation-based knowledge distillation for image classification. Neural Networks 188: 107429 (2025) - [j32]Haoran Wang, Jiahao Yang, Baosheng Yu, Yibing Zhan, Dapeng Tao, Haibin Ling:
Distilling interaction knowledge for semi-supervised egocentric action recognition. Pattern Recognit. 157: 110927 (2025) - [j31]Jianping Gou, Youhui Cheng, Yibing Zhan, Baosheng Yu, Weihua Ou, Zhang Yi:
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation. IEEE Trans. Big Data 11(2): 735-747 (2025) - [j30]Linfei Wang, Yibing Zhan, Xu Lin, Baosheng Yu, Liang Ding, Jianqing Zhu, Dapeng Tao:
Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 509-521 (2025) - [j29]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. IEEE Trans. Inf. Forensics Secur. 20: 4512-4524 (2025) - [j28]Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao:
PointWavelet: Learning in Spectral Domain for 3-D Point Cloud Analysis. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4400-4412 (2025) - [i47]Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma:
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies. CoRR abs/2501.02207 (2025) - [i46]Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng:
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. CoRR abs/2501.11299 (2025) - [i45]Zhiyao Ren, Yibing Zhan, Baosheng Yu, Dacheng Tao:
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation. CoRR abs/2503.19937 (2025) - [i44]Xiang Feng, Wentao Jiang, Zengmao Wang, Yong Luo, Pingbo Xu, Baosheng Yu, Hua Jin, Bo Du, Jing Zhang:
AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology. CoRR abs/2504.02404 (2025) - [i43]Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao:
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation. CoRR abs/2504.12323 (2025) - [i42]Shuxian Zhao, Jie Gui, Minjing Dong, Baosheng Yu, Zhipeng Gui, Lu Dong, Yuan Yan Tang, James Tin-Yau Kwok:
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions. CoRR abs/2504.14800 (2025) - 2024
- [j27]Jianping Gou, Nannan Xie, Jinhua Liu, Baosheng Yu, Weihua Ou, Zhang Yi, Wu Chen:
Hierarchical graph augmented stacked autoencoders for multi-view representation learning. Inf. Fusion 102: 102068 (2024) - [j26]Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling:
Free-Form Composition Networks for Egocentric Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9967-9978 (2024) - [j25]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 36(11): 7030-7043 (2024) - [j24]Jianping Gou, Xin He, Lan Du, Baosheng Yu, Wenbai Chen, Zhang Yi:
Hierarchical Locality-Aware Deep Dictionary Learning for Classification. IEEE Trans. Multim. 26: 447-461 (2024) - [j23]Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, Dapeng Tao:
Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression. IEEE Trans. Multim. 26: 5181-5193 (2024) - [j22]Jianping Gou, Yu Chen, Baosheng Yu, Jinhua Liu, Lan Du, Shaohua Wan, Zhang Yi:
Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation. IEEE Trans. Multim. 26: 7901-7916 (2024) - [j21]Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao:
Collaborative Knowledge Distillation via Multiknowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6718-6730 (2024) - [j20]Haoran Wang, Yajie Wang, Baosheng Yu, Yibing Zhan, Chunfeng Yuan, Wankou Yang:
Attentional Composition Networks for Long-Tailed Human Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 8:1-8:18 (2024) - [j19]Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Dacheng Tao:
Hierarchical Multi-Attention Transfer for Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 51:1-51:20 (2024) - [c32]Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng:
Progressive Retinal Image Registration via Global and Local Deformable Transformations. BIBM 2024: 2183-2190 - [c31]Xiaoyu Xu, Jiayan Qiu, Baosheng Yu, Zhou Wang:
Visual Relationship Transformation. ECCV (65) 2024: 251-272 - [c30]Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He:
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. IJCAI 2024: 129-138 - [c29]Jiaye Lin, Lin Li, Baosheng Yu, Weihua Ou, Jianping Gou:
Self-Distillation via Intra-Class Compactness. PRCV (1) 2024: 139-151 - [i41]Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao:
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR abs/2402.13408 (2024) - [i40]Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao:
Federated Distillation: A Survey. CoRR abs/2404.08564 (2024) - [i39]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. CoRR abs/2405.08487 (2024) - [i38]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach. CoRR abs/2408.16305 (2024) - [i37]Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng:
Progressive Retinal Image Registration via Global and Local Deformable Transformations. CoRR abs/2409.01068 (2024) - 2023
- [j18]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao:
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20(4): 554-568 (2023) - [j17]Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao:
Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131(7): 1857-1874 (2023) - [j16]Zhiqiu Xia, Chunpeng Wang, Yongwei Li, Baosheng Yu, Yibing Zhan, Qi Li, Xingyuan Wang, Bin Ma:
Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments. J. Frankl. Inst. 360(7): 4493-4518 (2023) - [j15]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167: 559-571 (2023) - [j14]Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi:
Channel-Correlation-Based Selective Knowledge Distillation. IEEE Trans. Cogn. Dev. Syst. 15(3): 1574-1585 (2023) - [j13]Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Weihua Ou, Zhang Yi:
Multilevel Attention-Based Sample Correlations for Knowledge Distillation. IEEE Trans. Ind. Informatics 19(5): 7099-7109 (2023) - [j12]Jianping Gou, Xia Yuan, Baosheng Yu, Jiali Yu, Zhang Yi:
Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition. IEEE Trans. Multim. 25: 1575-1583 (2023) - [j11]Yu Yao, Baosheng Yu, Chen Gong, Tongliang Liu:
Understanding How Pretraining Regularizes Deep Learning Algorithms. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5828-5840 (2023) - [c28]Cheng Wen, Baosheng Yu, Dacheng Tao:
Learnable Skeleton-Aware 3D Point Cloud Sampling. CVPR 2023: 17671-17681 - [c27]Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao:
Knowledge-Aware Federated Active Learning with Non-IID Data. ICCV 2023: 22222-22232 - [c26]Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421 - [i36]Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao:
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis. CoRR abs/2302.05201 (2023) - [i35]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao:
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning. CoRR abs/2302.09532 (2023) - [i34]Zhi Hou, Baosheng Yu, Dacheng Tao:
Compositional 3D Human-Object Neural Animation. CoRR abs/2304.14070 (2023) - [i33]Haibo Qiu, Baosheng Yu, Dacheng Tao:
Collect-and-Distribute Transformer for 3D Point Cloud Analysis. CoRR abs/2306.01257 (2023) - [i32]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR abs/2306.12726 (2023) - [i31]Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling:
Free-Form Composition Networks for Egocentric Action Recognition. CoRR abs/2307.06527 (2023) - [i30]Cheng Wen, Baosheng Yu, Rao Fu, Dacheng Tao:
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach. CoRR abs/2307.12049 (2023) - [i29]Wenyuan Xue, Dapeng Chen, Baosheng Yu, Yifei Chen, Sai Zhou, Wei Peng:
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition. CoRR abs/2308.07743 (2023) - [i28]Haibo Qiu, Baosheng Yu, Yixin Chen, Dacheng Tao:
PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation. CoRR abs/2310.07743 (2023) - 2022
- [j10]Yaqian Liang, Fazhi He, Xiantao Zeng, Baosheng Yu:
Feature-preserved convolutional neural network for 3D mesh recognition. Appl. Soft Comput. 128: 109500 (2022) - [j9]Baosheng Yu, Dacheng Tao:
Heatmap Regression via Randomized Rounding. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8276-8289 (2022) - [j8]Kehan Li, Chao Li, Baosheng Yu, Zhangchong Shen, Qiming Zhang, Shibo He, Jiming Chen:
Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction. IEEE Trans. Cogn. Commun. Netw. 8(2): 828-841 (2022) - [j7]Haoran Wang, Baosheng Yu, Jiaqi Li, Linlin Zhang, Dongyue Chen:
Multi-Stream Interaction Networks for Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3050-3060 (2022) - [j6]Haibo Qiu, Baosheng Yu, Dacheng Tao:
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation. Trans. Mach. Learn. Res. 2022 (2022) - [c25]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. AAAI 2022: 212-220 - [c24]Zhi Hou, Baosheng Yu, Dacheng Tao:
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. CVPR 2022: 7246-7256 - [c23]Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao:
Contrastive Boundary Learning for Point Cloud Segmentation. CVPR 2022: 8479-8489 - [c22]Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du:
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CVPR 2022: 16825-16834 - [c21]Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He:
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis. ECCV (3) 2022: 37-54 - [c20]Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu:
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. ECCV (25) 2022: 449-465 - [c19]Zhi Hou, Baosheng Yu, Dacheng Tao:
Discovering Human-Object Interaction Concepts via Self-Compositional Learning. ECCV (27) 2022: 461-478 - [c18]Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi:
Deep Dictionary Learning with an Intra-Class Constraint. ICME 2022: 1-6 - [c17]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao:
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. MMSP 2022: 1-6 - [c16]Qixun Zhang, Baosheng Yu, Zhiyong Feng:
Research and verification of sensing information assisted millimeter wave beam tracking algorithm for automated vehicles. ISACom@MobiCom 2022: 37-42 - [c15]Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu:
Dual-branch Density Ratio Estimation for Signed Network Embedding. WWW 2022: 1651-1662 - [i27]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation. CoRR abs/2201.06794 (2022) - [i26]Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo:
Hyper-relationship Learning Network for Scene Graph Generation. CoRR abs/2202.07271 (2022) - [i25]Zhi Hou, Baosheng Yu, Dacheng Tao:
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. CoRR abs/2203.01522 (2022) - [i24]Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du:
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CoRR abs/2203.02664 (2022) - [i23]Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao:
Contrastive Boundary Learning for Point Cloud Segmentation. CoRR abs/2203.05272 (2022) - [i22]Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He:
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR abs/2203.11492 (2022) - [i21]Zhi Hou, Baosheng Yu, Dacheng Tao:
Discovering Human-Object Interaction Concepts via Self-Compositional Learning. CoRR abs/2203.14272 (2022) - [i20]Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao:
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. CoRR abs/2204.01254 (2022) - [i19]Haibo Qiu, Baosheng Yu, Dacheng Tao:
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation. CoRR abs/2207.02605 (2022) - [i18]Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi:
Deep Dictionary Learning with An Intra-class Constraint. CoRR abs/2207.06841 (2022) - [i17]Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He:
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis. CoRR abs/2207.10228 (2022) - [i16]Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu:
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism. CoRR abs/2208.00617 (2022) - [i15]Yifan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization. CoRR abs/2208.08661 (2022) - [i14]Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao:
Knowledge-Aware Federated Active Learning with Non-IID Data. CoRR abs/2211.13579 (2022) - [i13]Yu-Tong Cao, Jingya Wang, Baosheng Yu, Dacheng Tao:
Responsible Active Learning via Human-in-the-loop Peer Study. CoRR abs/2211.13587 (2022) - [i12]Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao:
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR abs/2212.01853 (2022) - 2021
- [j5]Jianping Gou, Baosheng Yu, Stephen J. Maybank, Dacheng Tao:
Knowledge Distillation: A Survey. Int. J. Comput. Vis. 129(6): 1789-1819 (2021) - [j4]Haoran Wang, Baosheng Yu, Kun Xia, Jiaqi Li, Xin Zuo:
Skeleton edge motion networks for human action recognition. Neurocomputing 423: 1-12 (2021) - [c14]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. CVPR 2021: 495-504 - [c13]Cheng Wen, Baosheng Yu, Dacheng Tao:
Learning Progressive Point Embeddings for 3D Point Cloud Generation. CVPR 2021: 10266-10275 - [c12]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Detecting Human-Object Interaction via Fabricated Compositional Learning. CVPR 2021: 14646-14655 - [c11]Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li:
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. ICCV 2021: 1275-1284 - [c10]Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du:
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. ICCV 2021: 10488-10497 - [c9]Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao:
SynFace: Face Recognition with Synthetic Data. ICCV 2021: 10860-10870 - [c8]Wenyuan Xue, Siqi Cai, Wen Wang, Qingyong Li, Baosheng Yu, Yibing Zhan, Dacheng Tao:
A Question Answering System for Unstructured Table Images. ACM Multimedia 2021: 2783-2785 - [c7]Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong:
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS 2021: 6316-6327 - [i11]Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao:
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer. CoRR abs/2101.08471 (2021) - [i10]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Detecting Human-Object Interaction via Fabricated Compositional Learning. CoRR abs/2103.08214 (2021) - [i9]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. CoRR abs/2104.02867 (2021) - [i8]Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li:
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. CoRR abs/2106.10598 (2021) - [i7]Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao:
SynFace: Face Recognition with Synthetic Data. CoRR abs/2108.07960 (2021) - [i6]Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. CoRR abs/2112.11628 (2021) - 2020
- [c6]Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou:
Unsupervised Domain Adaptation on Reading Comprehension. AAAI 2020: 7480-7487 - [c5]Kehan Li, Jiming Chen, Baosheng Yu, Zhangchong Shen, Chao Li, Shibo He:
Supreme: Fine-grained Radio Map Reconstruction via Spatial-Temporal Fusion Network. IPSN 2020: 1-12 - [i5]Jianping Gou, Baosheng Yu, Stephen John Maybank, Dacheng Tao:
Knowledge Distillation: A Survey. CoRR abs/2006.05525 (2020) - [i4]Baosheng Yu, Dacheng Tao:
Heatmap Regression via Randomized Rounding. CoRR abs/2009.00225 (2020)
2010 – 2019
- 2019
- [b1]Baosheng Yu:
Robust Diversity-Driven Subset Selection in Combinatorial Optimization. University of Sydney, Australia, 2019 - [j3]Baosheng Yu, Dacheng Tao:
Anchor Cascade for Efficient Face Detection. IEEE Trans. Image Process. 28(5): 2490-2501 (2019) - [c4]Baosheng Yu, Dacheng Tao:
Deep Metric Learning With Tuplet Margin Loss. ICCV 2019: 6489-6498 - [i3]Yang Liu, Fanyou Wu, Baosheng Yu, Zhiyuan Liu, Jieping Ye:
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution. CoRR abs/1911.05699 (2019) - [i2]Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou:
Unsupervised Domain Adaptation on Reading Comprehension. CoRR abs/1911.06137 (2019) - 2018
- [j2]Dapeng Tao, Yanan Guo, Baosheng Yu, Jianxin Pang, Zhengtao Yu:
Deep Multi-View Feature Learning for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2657-2666 (2018) - [c3]Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao:
Correcting the Triplet Selection Bias for Triplet Loss. ECCV (6) 2018: 71-86 - [i1]Baosheng Yu, Dacheng Tao:
Anchor Cascade for Efficient Face Detection. CoRR abs/1805.03363 (2018) - 2016
- [j1]Baosheng Yu, Meng Fang, Dacheng Tao:
Per-Round Knapsack-Constrained Linear Submodular Bandits. Neural Comput. 28(12): 2757-2789 (2016) - [c2]Baosheng Yu, Meng Fang, Dacheng Tao:
Linear Submodular Bandits with a Knapsack Constraint. AAAI 2016: 1380-1386 - [c1]Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin:
Submodular Asymmetric Feature Selection in Cascade Object Detection. AAAI 2016: 1387-1393
Coauthor Index
[j36] [j28] [i45] [i43] [j25] [j21] [j19] [i41] [i40] [j18] [j17] [c28] [c27] [c26] [i36] [i35] [i34] [i33] [i30] [i28] [j9] [j6] [c24] [c23] [c19] [c17] [i26] [i25] [i23] [i21] [i20] [i19] [i15] [i14] [i13] [i12] [j5] [c14] [c13] [c12] [c11] [c9] [c8] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [j3] [c4] [c3] [i1] [j1] [c2] [c1]
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last updated on 2025-06-12 22:51 CEST by the dblp team
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