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2020 – today
- 2025
[j17]Piao Yu, Xu Zhang
, Yongshun Gong, Jian Zhang, Haoliang Sun, Junjie Zhang, Xinxin Zhang, Yilong Yin:
Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution. Expert Syst. Appl. 264: 125679 (2025)- [j16]Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin:
Variational Rectification Inference for Learning with Noisy Labels. Int. J. Comput. Vis. 133(2): 652-671 (2025) - [j15]Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin:
Correction: Variational Rectification Inference for Learning with Noisy Labels. Int. J. Comput. Vis. 133(3): 1434 (2025) - [i14]Zhengzhe Zhang, Wenjia Meng, Haoliang Sun, Gang Pan:
CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation. CoRR abs/2502.00983 (2025) - 2024
- [j14]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Correction: Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113(7): 4951 (2024) - [j13]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113(8): 5423-5445 (2024) - [j12]Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1464-1478 (2024) - [c12]Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong:
Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. CIKM 2024: 45-55 - [i13]Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin:
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR abs/2405.16093 (2024) - [i12]Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin:
Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning. CoRR abs/2412.18231 (2024) - 2023
- [j11]Xiaoya Guo, Chanjuan Gong, Yali Zhai, Han Yu, Jiantao Li, Haoliang Sun, Liang Wang, Dalin Tang:
Biomechanical characterization of normal and pathological human ascending aortic tissues via biaxial testing Experiment, constitutive modeling and finite element analysis. Comput. Biol. Medicine 166: 107561 (2023) - [j10]Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li:
Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6460-6479 (2023) - [j9]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142: 109726 (2023) - [c11]Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin:
MetaViewer: Towards A Unified Multi-View Representation. CVPR 2023: 11590-11599 - [c10]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CVPR 2023: 11651-11660 - [c9]Ren Wang, Haoliang Sun, Xiushan Nie, Yuxiu Lin, Xiaoming Xi, Yilong Yin:
Multi-View Representation Learning via View-Aware Modulation. ACM Multimedia 2023: 3876-3886 - [i11]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CoRR abs/2303.02404 (2023) - [i10]Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin:
MetaViewer: Towards A Unified Multi-View Representation. CoRR abs/2303.06329 (2023) - [i9]Ren Wang, Haoliang Sun, Qi Wei, Xiushan Nie, Yuling Ma, Yilong Yin:
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. CoRR abs/2306.08460 (2023) - 2022
- [j8]Ren Wang, Haoliang Sun, Xiushan Nie, Yilong Yin:
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning. Knowl. Based Syst. 247: 108427 (2022) - [j7]Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin:
Learning to rectify for robust learning with noisy labels. Pattern Recognit. 124: 108467 (2022) - [j6]Zhongyi Han, Haoliang Sun, Yilong Yin:
Learning Transferable Parameters for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 6424-6439 (2022) - [c8]Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. ECCV (30) 2022: 516-532 - [i8]Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. CoRR abs/2208.11351 (2022) - 2021
- [i7]Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR abs/2105.03781 (2021) - [i6]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR abs/2105.06668 (2021) - [i5]Zhongyi Han, Haoliang Sun, Yilong Yin:
Learning Transferable Parameters for Unsupervised Domain Adaptation. CoRR abs/2108.06129 (2021) - [i4]Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin:
Learning to Rectify for Robust Learning with Noisy Labels. CoRR abs/2111.04239 (2021) - 2020
- [c7]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. ICML 2020: 11409-11419 - [c6]Yu Ding, Shupeng Wang, Jian Xing, Xiaoyu Zhang, ZiSen Oi, Ge Fu, Qian Qiang, Haoliang Sun, Jianyu Zhang:
Malware Classification on Imbalanced Data through Self-Attention. TrustCom 2020: 154-161 - [i3]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i2]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression. CoRR abs/2012.12626 (2020)
2010 – 2019
- 2019
- [c5]Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh:
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV 2019: 10610-10619 - [c4]Haoliang Sun, Xiantong Zhen, Yilong Yin:
Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks. ICIP 2019: 4554-4558 - [i1]Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh:
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR abs/1908.08074 (2019) - 2018
- [c3]Xingbo Liu, Haoliang Sun, Xiushan Nie, Chaoran Cui, Yilong Yin:
Modality-Specific Structure Preserving Hashing for Cross-Modal Retrieval. ICASSP 2018: 1678-1682 - 2017
- [c2]Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li:
Learning Deep Match Kernels for Image-Set Classification. CVPR 2017: 6240-6249 - [c1]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression. IPMI 2017: 529-540 - 2014
- [j5]He Liu, Mangui Liang, Haoliang Sun:
A Secure and Efficient Certificateless Aggregate Signature Scheme. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(4): 991-995 (2014) - 2013
- [j4]Junsan Zhang, Youli Qu, Shu Gong, Shengfeng Tian, Haoliang Sun:
An Approach of Filtering Wrong-Type Entities for Entity Ranking. IEICE Trans. Inf. Syst. 96-D(1): 163-167 (2013) - 2012
- [j3]Haoliang Sun, Xiaohui Hu, Lixiang Liu:
Congestion Avoid Movement Aware Routing Protocol in Interplanetary Backbone Networks. IEICE Trans. Commun. 95-B(7): 2467-2471 (2012) - [j2]Liqiang Zhang, Chao Li, Haoliang Sun, Changwen Zheng, Pin Lv:
Parallel Dynamic Cloud Rendering Method Based on Physical Cellular Automata Model. IEICE Trans. Inf. Syst. 95-D(12): 2750-2758 (2012) - 2011
- [j1]Haoliang Sun, Lixiang Liu, Xiaohui Hu:
A Network Coding based DTN Convergence Layer Reliable Transport Mechanism over InterPlaNetary Networks. Int. J. Comput. Commun. Control 6(2): 236-245 (2011)
Coauthor Index
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