Haoliang Sun - RankMe

60 papers A* 11A 1B 2Misc 1Journal 42Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CausalCOMRL: Context-based offline meta-reinforcement learning with causal representation. Neural Networks Zhengzhe Zhang, Wenjia Meng, Haoliang Sun, Gang Pan
2026	J	`jnl`	EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation. CoRR Yukun Zhao, Zichen Zhong, Yongshun Gong, Yilong Yin, Haoliang Sun
2026	J	`jnl`	Exploiting dynamic spatio-temporal correlations for origin-destination demand prediction. Expert Syst. Appl. Yongshun Gong, Piao Yu, Xu Zhang, Xinxin Zhang, Xiushan Nie, Haoliang Sun
2026	J	`jnl`	From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space. CoRR Lehui Li, Yuyao Wang, Jisheng Yan, Wei Zhang, Jinliang Deng, Haoliang Sun, Zhongyi Han, Yongshun Gong
2026	J	`jnl`	MSFI: Multi-timescale spatio-temporal features integration in spiking neural networks. Neural Networks Dengfeng Xue, Wenjuan Li, Chunfeng Yuan, Haowei Liu, Man Yao, Wei Liu, Li Yang, Bing Li, Weiming Hu, Haoliang Sun, Zhetao Li
2026	A*	`conf`	MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping. AAAI Wenjia Meng, Teng Zhang, Haoliang Sun, Yilong Yin
2026	J	`jnl`	Riemannian MeanFlow for One-Step Generation on Manifolds. CoRR Zichen Zhong, Haoliang Sun, Yukun Zhao, Yongshun Gong, Yilong Yin
2026	J	`jnl`	Variational Rectification Inference for Learning with Noisy Labels. CoRR Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2025	J	`jnl`	CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation. CoRR Zhengzhe Zhang, Wenjia Meng, Haoliang Sun, Gang Pan
2025	J	`jnl`	Correction: Variational Rectification Inference for Learning with Noisy Labels. Int. J. Comput. Vis. Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2025	J	`jnl`	Cross-graph meta matching correction for noisy graph matching. Comput. Vis. Image Underst. Fangkai Li, Feiyu Pan, Wenjia Meng, Haoliang Sun, Xiushan Nie, Yilong Yin, Xiankai Lu
2025	J	`jnl`	Diverse Teacher-Students for deep safe semi-supervised learning under class mismatch. Neural Networks Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
2025	J	`jnl`	Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution. Expert Syst. Appl. Piao Yu, Xu Zhang, Yongshun Gong, Jian Zhang, Haoliang Sun, Junjie Zhang, Xinxin Zhang, Yilong Yin
2025	J	`jnl`	GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation. Neural Networks Wenqian Mu, Jiyuan Liu, Yongshun Gong, Ji Zhong, Wei Liu, Haoliang Sun, Xiushan Nie, Yilong Yin, Yu Zheng
2025	A*	`conf`	Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. IJCAI Ren Wang, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin
2025	A*	`conf`	SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning. CVPR Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, Wenjia Meng
2025	J	`jnl`	Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. IEEE Trans. Knowl. Data Eng. Yang An, Zhibin Li, Xiaoyu Li, Wei Liu, Xinghao Yang, Haoliang Sun, Meng Chen, Yu Zheng, Yongshun Gong
2025	A*	`conf`	Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction. IJCAI Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong
2025	A*	`conf`	Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning. AAAI Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin
2025	J	`jnl`	Variational Rectification Inference for Learning with Noisy Labels. Int. J. Comput. Vis. Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2024	J	`jnl`	Correction: Learning sample-aware threshold for semi-supervised learning. Mach. Learn. Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
2024	J	`jnl`	Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
2024	J	`jnl`	Learning sample-aware threshold for semi-supervised learning. Mach. Learn. Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
2024	—	`conf`	Malware Variant Detection Based on Knowledge Transfer and Ensemble Learning. SciSec Yu Ding, Haoliang Sun, Binbin Li, Zisen Qi, Siyu Jia, Haiping Wang, Xingbang Tan
2024	J	`jnl`	MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
2024	A	`conf`	Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. CIKM Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong
2024	J	`jnl`	Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning. CoRR Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin
2023	J	`jnl`	Attentional prototype inference for few-shot segmentation. Pattern Recognit. Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
2023	J	`jnl`	Biomechanical characterization of normal and pathological human ascending aortic tissues via biaxial testing Experiment, constitutive modeling and finite element analysis. Comput. Biol. Medicine Xiaoya Guo, Chanjuan Gong, Yali Zhai, Han Yu, Jiantao Li, Haoliang Sun, Liang Wang, Dalin Tang
2023	A*	`conf`	Fine-Grained Classification with Noisy Labels. CVPR Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin
2023	J	`jnl`	Fine-Grained Classification with Noisy Labels. CoRR Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin
2023	J	`jnl`	Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. CoRR Ren Wang, Haoliang Sun, Qi Wei, Xiushan Nie, Yuling Ma, Yilong Yin
2023	A*	`conf`	MetaViewer: Towards A Unified Multi-View Representation. CVPR Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin
2023	J	`jnl`	MetaViewer: Towards A Unified Multi-View Representation. CoRR Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin
2023	A*	`conf`	Multi-View Representation Learning via View-Aware Modulation. ACM Multimedia Ren Wang, Haoliang Sun, Xiushan Nie, Yuxiu Lin, Xiaoming Xi, Yilong Yin
2023	J	`jnl`	Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li
2022	J	`jnl`	Learning Transferable Parameters for Unsupervised Domain Adaptation. IEEE Trans. Image Process. Zhongyi Han, Haoliang Sun, Yilong Yin
2022	J	`jnl`	Learning to rectify for robust learning with noisy labels. Pattern Recognit. Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin
2022	J	`jnl`	SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning. Knowl. Based Syst. Ren Wang, Haoliang Sun, Xiushan Nie, Yilong Yin
2022	—	`conf`	Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. ECCV (30) Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin
2022	J	`jnl`	Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. CoRR Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin
2021	J	`jnl`	Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
2021	J	`jnl`	Learning Transferable Parameters for Unsupervised Domain Adaptation. CoRR Zhongyi Han, Haoliang Sun, Yilong Yin
2021	J	`jnl`	Learning to Rectify for Robust Learning with Noisy Labels. CoRR Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin
2021	J	`jnl`	MetaKernel: Learning Variational Random Features with Limited Labels. CoRR Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
2020	J	`jnl`	Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression. CoRR Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li
2020	A*	`conf`	Learning to Learn Kernels with Variational Random Features. ICML Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
2020	J	`jnl`	Learning to Learn Kernels with Variational Random Features. CoRR Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
2020	B	`conf`	Malware Classification on Imbalanced Data through Self-Attention. TrustCom Yu Ding, Shupeng Wang, Jian Xing, Xiaoyu Zhang, ZiSen Oi, Ge Fu, Qian Qiang, Haoliang Sun, Jianyu Zhang
2019	A*	`conf`	DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
2019	J	`jnl`	DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
2019	B	`conf`	Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks. ICIP Haoliang Sun, Xiantong Zhen, Yilong Yin
2018	Misc	`conf`	Modality-Specific Structure Preserving Hashing for Cross-Modal Retrieval. ICASSP Xingbo Liu, Haoliang Sun, Xiushan Nie, Chaoran Cui, Yilong Yin
2017	—	`conf`	Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression. IPMI Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li
2017	A*	`conf`	Learning Deep Match Kernels for Image-Set Classification. CVPR Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li
2014	J	`jnl`	A Secure and Efficient Certificateless Aggregate Signature Scheme. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. He Liu, Mangui Liang, Haoliang Sun
2013	J	`jnl`	An Approach of Filtering Wrong-Type Entities for Entity Ranking. IEICE Trans. Inf. Syst. Junsan Zhang, Youli Qu, Shu Gong, Shengfeng Tian, Haoliang Sun
2012	J	`jnl`	Congestion Avoid Movement Aware Routing Protocol in Interplanetary Backbone Networks. IEICE Trans. Commun. Haoliang Sun, Xiaohui Hu, Lixiang Liu
2012	J	`jnl`	Parallel Dynamic Cloud Rendering Method Based on Physical Cellular Automata Model. IEICE Trans. Inf. Syst. Liqiang Zhang, Chao Li, Haoliang Sun, Changwen Zheng, Pin Lv
2011	J	`jnl`	A Network Coding based DTN Convergence Layer Reliable Transport Mechanism over InterPlaNetary Networks. Int. J. Comput. Commun. Control Haoliang Sun, Lixiang Liu, Xiaohui Hu