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ORCIDZehua Cheng
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2020 – today
- 2024
[c9]Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen:
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. ACL (1) 2024: 1874-1889- [c8]Zehua Cheng, Wei Dai, Jiahao Sun:
Multi-modal Feature Fusion Networks for GeoLifeCLEF 2024. CLEF (Working Notes) 2024: 2009-2015 - [i10]Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen:
Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. CoRR abs/2402.00263 (2024) - [i9]Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li:
SoccerNet 2024 Challenges Results. CoRR abs/2409.10587 (2024) - [i8]Zehua Cheng, Di Yuan, Thomas Lukasiewicz:
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation. CoRR abs/2410.10366 (2024) - 2023
- [c7]Jindian Su, Xiaobin Lin, Yunhao Xie, Zehua Cheng:
CCCSpell: A Consistent and Contrastive Learning Approach with Character Similarity for Chinese Spelling Check. IJCNN 2023: 1-8 - 2022
- [c6]Andrey Ignatov, Radu Timofte
, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 130-152 - [c5]Zehua Cheng, Lianlong Wu, Thomas Lukasiewicz, Emanuel Sallinger, Georg Gottlob:
Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. EDBT/ICDT Workshops 2022 - [c4]Zehua Cheng, Lianlong Wu:
Hybrid Learning System for Large-scale Medical Image Analysis. IJCAI 2022: 5843-5844 - [c3]Jiafeng Liu, Yuanliang Dong, Zehua Cheng, Xinran Zhang, Xiaobing Li, Feng Yu, Maosong Sun:
Symphony Generation with Permutation Invariant Language Model. ISMIR 2022: 551-558 - [i7]Jiafeng Liu, Yuanliang Dong, Zehua Cheng, Xinran Zhang, Xiaobing Li, Feng Yu, Maosong Sun:
Symphony Generation with Permutation Invariant Language Model. CoRR abs/2205.05448 (2022) - [i6]Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.05256 (2022) - 2021
- [j1]Suting Chen, Zehua Cheng, Liangchen Zhang, Yujie Zheng:
SnipeDet: Attention-guided pyramidal prediction kernels for generic object detection. Pattern Recognit. Lett. 152: 302-310 (2021)
2010 – 2019
- 2019
- [c2]Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang:
Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. ICASSP 2019: 7550-7554 - [c1]Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Xinghui Zhu, Weiyang Wang:
Foxnet: A Multi-Face Alignment Method. ICIP 2019: 1322-1326 - [i5]Zehua Cheng, Zhenghua Xu:
Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce. CoRR abs/1901.01544 (2019) - [i4]Liyao Gao, Zehua Cheng:
Learning with Collaborative Neural Network Group by Reflection. CoRR abs/1901.02433 (2019) - [i3]Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Kele Xu, Weiyang Wang:
FoxNet: A Multi-face Alignment Method. CoRR abs/1904.09758 (2019) - [i2]Yuxiang Wu, Zehua Cheng, Zhenghua Xu, Weiyang Wang:
Segmentation is All You Need. CoRR abs/1904.13300 (2019) - [i1]Zehua Cheng, Weiyang Wang, Yan Pan, Thomas Lukasiewicz:
Distributed Low Precision Training Without Mixed Precision. CoRR abs/1911.07384 (2019)
Coauthor Index
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last updated on 2024-11-26 21:43 CET by the dblp team
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