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Hanjing Su
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2020 – today
- 2024
- [j5]Pengshuai Yin, Huanxin Chen, Huichou Huang, Hanjing Su, Qingyao Wu, Qilin Wan:
A region-based convolutional fusion network for typhoon intensity estimation in satellite images. Eng. Appl. Artif. Intell. 134: 108671 (2024) - [j4]Jiaju Wu, Zhengchang Wen, Haitian Huang, Hanjing Su, Fei Liu, Huan Wang, Yi Ding, Qingyao Wu:
A reweighting method for speech recognition with imbalanced data of Mandarin and sub-dialects. Serv. Oriented Comput. Appl. 18(2): 145-152 (2024) - [j3]Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su, Qingyao Wu:
A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. IEEE Trans. Multim. 26: 313-325 (2024) - [c11]Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li:
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. AAAI 2024: 1698-1706 - [c10]Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin:
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. AAAI 2024: 6549-6557 - [c9]Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu:
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. AAAI 2024: 9287-9295 - [c8]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu:
A Payment Transaction Pre-training Model for Fraud Transaction Detection. CIKM 2024: 932-941 - [c7]Rongsheng Li, Yangning Li, Yinghui Li, Chaiyut Luoyiching, Nannan Zhou, Hanjing Su, Hai-Tao Zheng:
Retrieval-Augmented Meta Learning for Low-Resource Text Classification. IJCNN 2024: 1-8 - [c6]Chaiyut Luoyiching, Yangning Li, Yinghui Li, Rongsheng Li, Hai-Tao Zheng, Nannan Zhou, Hanjing Su:
Relation Knowledge Distillation Based on Prompt Learning for Generalized Few-Shot Intent Detection. IJCNN 2024: 1-8 - [i7]Zhitao Wang, Wei Wang, Zirao Li, Long Wang, Can Yi, Xinjie Xu, Luyang Cao, Hanjing Su, Shouzhi Chen, Jun Zhou:
XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model. CoRR abs/2401.02705 (2024) - 2023
- [j2]Yun Hao, Yukun Su, Guosheng Lin, Hanjing Su, Qingyao Wu:
Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification. Pattern Recognit. 144: 109843 (2023) - [c5]Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu:
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. ACML 2023: 1353-1368 - [c4]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS 2023 - [i6]Dongjian Huo, Zehong Zhang, Hanjing Su, Guanbin Li, Chaowei Fang, Qingyao Wu:
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning. CoRR abs/2308.10195 (2023) - [i5]Chaiyut Luoyiching, Yangning Li, Yinghui Li, Rongsheng Li, Hai-Tao Zheng, Nannan Zhou, Hanjing Su:
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection. CoRR abs/2309.04971 (2023) - [i4]Rongsheng Li, Yangning Li, Yinghui Li, Chaiyut Luoyiching, Hai-Tao Zheng, Nannan Zhou, Hanjing Su:
Retrieval-Augmented Meta Learning for Low-Resource Text Classification. CoRR abs/2309.04979 (2023) - [i3]Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li:
Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation. CoRR abs/2312.14387 (2023) - 2022
- [i2]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Partial Information as Full: Reward Imputation with Sketching in Bandits. CoRR abs/2210.06719 (2022) - 2021
- [j1]Zhitao Wang, Wenjie Li, Hanjing Su:
Hierarchical Attention Link Prediction Neural Network. Knowl. Based Syst. 232: 107431 (2021) - [c3]Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen:
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR 2021: 41-50 - [i1]Zhitao Wang, Yong Zhou, Litao Hong, Yuanhang Zou, Hanjing Su, Shouzhi Chen:
Pairwise Learning for Neural Link Prediction. CoRR abs/2112.02936 (2021)
2010 – 2019
- 2010
- [c2]Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu:
A Refinement Approach to Handling Model Misfit in Semi-supervised Learning. ADMA (2) 2010: 75-86 - [c1]Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang:
Exploiting Word Cluster Information for Unsupervised Feature Selection. PRICAI 2010: 292-303
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last updated on 2024-11-15 19:30 CET by the dblp team
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