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2020 – today
- 2024
[j6]Qian Chen, Xuesong Mei, Jialong He, Jun Yang, Kuo Liu, Yuansheng Zhou, Chi Ma
, Jialan Liu, Shuang Zeng, Lin Zhang, Hongquan Gui, Jianqiang Zhou, Shengbin Weng:
Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial-temporal feature interaction fusion network. Adv. Eng. Informatics 62: 102741 (2024)- [j5]Mengyuan Li, Chi Ma, Jialan Liu, Hongquan Gui, Shuang Zeng, Fangqiong Luo:
Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system. Eng. Appl. Artif. Intell. 127(Part A): 107278 (2024) - [j4]Shuang Zeng, Wenzhu Yang, Yanyan Jiao, Lei Geng, Xinting Chen:
SCA-YOLO: a new small object detection model for UAV images. Vis. Comput. 40(3): 1787-1803 (2024) - [c16]Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang:
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. ACL (Findings) 2024: 5533-5546 - [c15]Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu:
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. CVPR 2024: 12098-12108 - [c14]Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu:
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. MICCAI (8) 2024: 382-392 - [c13]Yixin Chen, Xiangxi Meng, Yan Wang, Shuang Zeng, Xi Liu, Zhaoheng Xie:
LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation. MICCAI (8) 2024: 393-402 - [c12]Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu:
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. MICCAI (10) 2024: 707-717 - [i17]Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu:
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. CoRR abs/2406.13583 (2024) - [i16]Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu:
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. CoRR abs/2408.12300 (2024) - [i15]Shuang Zeng, Xinyuan Chang, Xinran Liu, Zheng Pan, Xing Wei:
Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping. CoRR abs/2409.05352 (2024) - 2023
- [j3]Xinting Chen, Wenzhu Yang, Shuang Zeng, Lei Geng, Yanyan Jiao:
YOLOAL: Focusing on the Object Location for Detection on Drone Imagery. IEEE Access 11: 128886-128897 (2023) - [j2]Shuang Zeng, Chi Ma, Jialan Liu, Mengyuan Li, Hongquan Gui:
Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework. Appl. Soft Comput. 138: 110221 (2023) - [j1]Lei Geng, Wenzhu Yang, Yanyan Jiao, Shuang Zeng, Xinting Chen:
A multilayer human motion prediction perceptron by aggregating repetitive motion. Mach. Vis. Appl. 34(6): 98 (2023) - [c11]Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang:
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. ACL (Findings) 2023: 3883-3896 - [c10]Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. NLPCC (2) 2023: 185-197 - [i14]Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang:
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. CoRR abs/2305.04076 (2023) - [i13]Shuzheng Si, Shuang Zeng, Baobao Chang:
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. CoRR abs/2307.00866 (2023) - [i12]Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, Shuang Zeng, Qiushi Ren, Yanye Lu:
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation. CoRR abs/2308.04949 (2023) - [i11]Shuang Zeng, Lei Zhu, Xinliang Zhang, Zifeng Tian, Qian Chen, Lujia Jin, Jiayi Wang, Yanye Lu:
Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training. CoRR abs/2309.11876 (2023) - [i10]Helan Hu, Shuzheng Si, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang:
Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. CoRR abs/2311.08010 (2023) - 2022
- [c9]Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang:
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. COLING 2022: 2313-2318 - [c8]Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo:
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing. COLING 2022: 2405-2417 - [c7]Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang:
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. COLING 2022: 6327-6339 - [c6]Shuzheng Si, Shuang Zeng, Baobao Chang:
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. NAACL-HLT 2022: 4839-4847 - [c5]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT 2022: 5025-5036 - [i9]Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang:
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. CoRR abs/2204.04686 (2022) - [i8]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR abs/2205.00241 (2022) - [i7]Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo:
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing. CoRR abs/2208.10081 (2022) - [i6]Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang:
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. CoRR abs/2209.01646 (2022) - 2021
- [c4]Shuang Zeng, Yuting Wu, Baobao Chang:
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. ACL/IJCNLP (Findings) 2021: 524-534 - [c3]Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. ICANN (3) 2021: 66-79 - [i5]Shuang Zeng, Yuting Wu, Baobao Chang:
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. CoRR abs/2106.01709 (2021) - 2020
- [c2]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. EMNLP (1) 2020: 1630-1640 - [c1]Sennan Liu, Shuang Zeng, Sujian Li:
Evaluating Text Coherence at Sentence and Paragraph Levels. LREC 2020: 1695-1703 - [i4]Sennan Liu, Shuang Zeng, Sujian Li:
Evaluating Text Coherence at Sentence and Paragraph Levels. CoRR abs/2006.03221 (2020) - [i3]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. CoRR abs/2009.13752 (2020) - [i2]Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-level Relation Extraction. CoRR abs/2012.02507 (2020) - [i1]Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement. CoRR abs/2012.07379 (2020)
Coauthor Index
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