Zehua Cheng

According to our database, Zehua Cheng authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation.

Zehua Cheng, Di Yuan, Thomas Lukasiewicz

CoRR, 2024

SoccerNet 2024 Challenges Results.

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

CoRR, 2024

Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

CoRR, 2024

Multi-modal Feature Fusion Networks for GeoLifeCLEF 2024.

Zehua Cheng, Wei Dai, Jiahao Sun

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CCCSpell: A Consistent and Contrastive Learning Approach with Character Similarity for Chinese Spelling Check.

Jindian Su, Xiaobin Lin, Yunhao Xie, Zehua Cheng

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Symphony Generation with Permutation Invariant Language Model.

Jiafeng Liu, Yuanliang Dong, Zehua Cheng, Xinran Zhang, Xiaobing Li, Feng Yu, Maosong Sun

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Hybrid Learning System for Large-scale Medical Image Analysis.

Zehua Cheng, Lianlong Wu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports.

Zehua Cheng, Lianlong Wu, Thomas Lukasiewicz, Emanuel Sallinger, Georg Gottlob

Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

SnipeDet: Attention-guided pyramidal prediction kernels for generic object detection.

Suting Chen, Zehua Cheng, Liangchen Zhang, Yujie Zheng

Pattern Recognit. Lett., 2021

2019

Distributed Low Precision Training Without Mixed Precision.

Zehua Cheng, Weiyang Wang, Yan Pan, Thomas Lukasiewicz

CoRR, 2019

Segmentation is All You Need.

Yuxiang Wu, Zehua Cheng, Zhenghua Xu, Weiyang Wang

CoRR, 2019

FoxNet: A Multi-face Alignment Method.

Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Kele Xu, Weiyang Wang

CoRR, 2019

Learning with Collaborative Neural Network Group by Reflection.

Liyao Gao, Zehua Cheng

CoRR, 2019

Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce.

Zehua Cheng, Zhenghua Xu

CoRR, 2019

Foxnet: A Multi-Face Alignment Method.

Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Xinghui Zhu, Weiyang Wang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment.

Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang

Proceedings of the IEEE International Conference on Acoustics, 2019