Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. - Bo Li 099; Zehua Cheng; Zhenghua Xu 001; Wei Ye 004; Thomas Lukasiewicz; Shikun Zhang (ICASSP, 2019)

Foxnet: A Multi-Face Alignment Method. - Yuxiang Wu; Zehua Cheng; Bin Huang; Yiming Chen; Xinghui Zhu; Weiyang Wang (ICIP, 2019)

Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce. - Zehua Cheng; Zhenghua Xu (CoRR, 2019)

Learning with Collaborative Neural Network Group by Reflection. - Liyao Gao; Zehua Cheng (CoRR, 2019)

FoxNet: A Multi-face Alignment Method. - Yuxiang Wu; Zehua Cheng; Bin Huang; Yiming Chen; Kele Xu; Weiyang Wang (CoRR, 2019)

Segmentation is All You Need. - Yuxiang Wu; Zehua Cheng; Zhenghua Xu; Weiyang Wang (CoRR, 2019)

Distributed Low Precision Training Without Mixed Precision. - Zehua Cheng; Weiyang Wang; Yan Pan; Thomas Lukasiewicz (CoRR, 2019)

SnipeDet: Attention-guided pyramidal prediction kernels for generic object detection. - Suting Chen; Zehua Cheng; Liangchen Zhang; Yujie Zheng (Pattern Recognit. Lett., 2021)

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; et al. (ECCV Workshops (3), 2022)

Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. - Zehua Cheng; Lianlong Wu; Thomas Lukasiewicz; Emanuel Sallinger; Georg Gottlob (EDBT/ICDT Workshops, 2022)

Hybrid Learning System for Large-scale Medical Image Analysis. - Zehua Cheng; Lianlong Wu (IJCAI, 2022)

Symphony Generation with Permutation Invariant Language Model. - Jiafeng Liu; Yuanliang Dong; Zehua Cheng; Xinran Zhang; Xiaobing Li; Feng Yu; Maosong Sun 001 (ISMIR, 2022)

CCCSpell: A Consistent and Contrastive Learning Approach with Character Similarity for Chinese Spelling Check. - Jindian Su; Xiaobin Lin; Yunhao Xie; Zehua Cheng (IJCNN, 2023)

Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. - Shengchao Liu; Xiaoming Liu 011; Yichen Wang 002; Zehua Cheng; Chengzhengxu Li; Zhaohan Zhang; Yu Lan 001; Chao Shen 001 (ACL (1), 2024)

Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation. - Zehua Cheng; Di Yuan; Thomas Lukasiewicz (BIBM, 2024)

Multi-modal Feature Fusion Networks for GeoLifeCLEF 2024. - Zehua Cheng; Wei Dai; Jiahao Sun (CLEF (Working Notes), 2024)

Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. - Shengchao Liu; Xiaoming Liu 011; Yichen Wang 002; Zehua Cheng; Chengzhengxu Li; Zhaohan Zhang; Yu Lan 001; Chao Shen 001 (CoRR, 2024)

SoccerNet 2024 Challenges Results. - Anthony Cioppa; Silvio Giancola; Vladimir Somers; Victor Joos; Floriane Magera; Jan Held; Seyed Abolfazl Ghasemzadeh; Xin Zhou 024; Karolina Seweryn; Mateusz Kowalczyk; Zuzanna Mróz; Szymon Lukasik; et al. (CoRR, 2024)

On Weaponization-Resistant Large Language Models with Prospect Theoretic Alignment. - Zehua Cheng; Manying Zhang; Jiahao Sun; Wei Dai (COLING, 2025)

Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction. - Zehua Cheng; Di Yuan; Wenhu Zhang; Thomas Lukasiewicz (WACV, 2025)

Scaling Decentralized Learning with FLock. - Zehua Cheng; Rui Sun; Jiahao Sun; Yike Guo (CoRR, 2025)