Double Graph Based Reasoning for Document-level Relation Extraction. - Shuang Zeng; Runxin Xu; Baobao Chang; Lei Li 005 (EMNLP (1), 2020)

Evaluating Text Coherence at Sentence and Paragraph Levels. - Sennan Liu; Shuang Zeng; Sujian Li (LREC, 2020)

Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement. - Tianyang Cao; Shuang Zeng; Songge Zhao; Mairgup Mansur; Baobao Chang (CoRR, 2020)

SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. - Shuang Zeng; Yuting Wu; Baobao Chang (ACL/IJCNLP (Findings), 2021)

Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. - Tianyang Cao; Shuang Zeng; Songge Zhao; Mairgup Mansur; Baobao Chang (ICANN (3), 2021)

DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. - Tianyang Cao; Shuang Zeng; Xiaodan Xu; Mairgup Mansur; Baobao Chang (COLING, 2022)

SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. - Shuzheng Si; Shuang Zeng; Jiaxing Lin; Baobao Chang (COLING, 2022)

Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing. - Xinyu Zuo; Haijin Liang; Ning Jing; Shuang Zeng; Zhou Fang; Yu Luo (COLING, 2022)

Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. - Shuzheng Si; Shuang Zeng; Baobao Chang (NAACL-HLT, 2022)

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. - Runxin Xu; Peiyi Wang; Tianyu Liu 001; Shuang Zeng; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. - Shuzheng Si; Zefan Cai; Shuang Zeng; Guoqiang Feng; Jiaxing Lin; Baobao Chang (ACL (Findings), 2023)

Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. - Damai Dai; Jing Ren; Shuang Zeng; Baobao Chang; Zhifang Sui (NLPCC (2), 2023)

YOLOAL: Focusing on the Object Location for Detection on Drone Imagery. - Xinting Chen; Wenzhu Yang; Shuang Zeng; Lei Geng; Yanyan Jiao (IEEE Access, 2023)

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation. - Lei Zhu 012; Hangzhou He; Xinliang Zhang; Qian Chen; Shuang Zeng; Qiushi Ren; Yanye Lu (CoRR, 2023)

Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training. - Shuang Zeng; Lei Zhu 012; Xinliang Zhang; Zifeng Tian; Qian Chen; Lujia Jin; Jiayi Wang; Yanye Lu (CoRR, 2023)

Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. - Helan Hu; Shuzheng Si; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (CoRR, 2023)

Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework. - Shuang Zeng; Chi Ma; Jialan Liu; Mengyuan Li; Hongquan Gui (Appl. Soft Comput., 2023)

A multilayer human motion prediction perceptron by aggregating repetitive motion. - Lei Geng; Wenzhu Yang; Yanyan Jiao; Shuang Zeng; Xinting Chen (Mach. Vis. Appl., 2023)

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. - Shuzheng Si; Helan Hu; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (ACL (Findings), 2024)

FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. - Junyuan Zhang; Shuang Zeng; Miao Zhang; Runxi Wang; Feifei Wang; Yuyin Zhou; Paul Pu Liang; Liangqiong Qu (CVPR, 2024)

LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation. - Yixin Chen; Xiangxi Meng; Yan Wang; Shuang Zeng; Xi Liu; Zhaoheng Xie (MICCAI (8), 2024)

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. - Qian Chen; Lei Zhu 012; Hangzhou He; Xinliang Zhang; Shuang Zeng; Qiushi Ren; Yanye Lu (MICCAI (8), 2024)

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. - Shuang Zeng; Pengxin Guo; Shuai Wang; Jianbo Wang; Yuyin Zhou; Liangqiong Qu (MICCAI (10), 2024)

Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial-temporal feature interaction fusion network. - Qian Chen; Xuesong Mei; Jialong He; Jun Yang; Kuo Liu; Yuansheng Zhou; Chi Ma; Jialan Liu; Shuang Zeng; Lin Zhang; Hongquan Gui; Jianqiang Zhou; et al. (Adv. Eng. Informatics, 2024)

Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping. - Shuang Zeng; Xinyuan Chang; Xinran Liu; Zheng Pan; Xing Wei (CoRR, 2024)

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. - Mengyuan Li; Chi Ma; Jialan Liu; Hongquan Gui; Shuang Zeng; Fangqiong Luo (Eng. Appl. Artif. Intell., 2024)

SCA-YOLO: a new small object detection model for UAV images. - Shuang Zeng; Wenzhu Yang; Yanyan Jiao; Lei Geng; Xinting Chen (Vis. Comput., 2024)

A New Federated Learning Framework Against Gradient Inversion Attacks. - Pengxin Guo; Shuang Zeng; Wenhao Chen; Xiaodan Zhang 003; Weihong Ren; Yuyin Zhou; Liangqiong Qu (AAAI, 2025)

V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. - Hangzhou He; Lei Zhu 012; Xinliang Zhang; Shuang Zeng; Qian Chen; Yanye Lu (AAAI, 2025)

Selective Aggregation for Low-Rank Adaptation in Federated Learning. - Pengxin Guo; Shuang Zeng; Yanran Wang; Huijie Fan; Feifei Wang; Liangqiong Qu (ICLR, 2025)

The drone-assisted simultaneous pickup and delivery problem with time windows. - Xia Zhang; Shuang Zeng (Comput. Oper. Res., 2025)

Exploiting module evolution correlation relationship for fine-grained bird image classification with structural functional representation. - Shuang Zeng; Hai Liu 004; Tingting Liu 006; Qiuxia Liu; Minhong Wang 001; Bing Yang; Zhaoli Zhang (Neurocomputing, 2025)

Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks. - Pengxin Guo; Runxi Wang; Shuang Zeng; Jinjing Zhu; Haoning Jiang; Yanran Wang; Yuyin Zhou; Feifei Wang; Hui Xiong; Liangqiong Qu (CoRR, 2025)

Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation. - Xinliang Zhang; Lei Zhu 012; Shuang Zeng; Hangzhou He; Ourui Fu; Zhengjian Yao; Zhaoheng Xie; Yanye Lu (CoRR, 2025)

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training. - Shuang Zeng; Lei Zhu 012; Xinliang Zhang; Hangzhou He; Yanye Lu (CoRR, 2025)

Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation. - Shuang Zeng; Chee Hong Lee; Micky C. Nnamdi; Wenqi Shi; J. Ben Tamo; Lei Zhu 012; Hangzhou He; Xinliang Zhang; Qian Chen; May D. Wang; Yanye Lu; Qiushi Ren (CoRR, 2025)

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving. - Shuang Zeng; Xinyuan Chang; Mengwei Xie; Xinran Liu; Yifan Bai; Zheng Pan; Mu Xu; Xing Wei (CoRR, 2025)

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation. - Lei Zhu 012; Xinliang Zhang; Hangzhou He; Qian Chen; Sha Li; Shuang Zeng; Yibao Zhang; Qiushi Ren; Yanye Lu (IEEE Trans. Neural Networks Learn. Syst., 2025)

SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions. - Mengwei Xie; Shuang Zeng; Xinyuan Chang; Xinran Liu; Zheng Pan; Mu Xu; Xing Wei (CoRR, 2025)

I2R: Inter and Intra-image Refinement in Few Shot Segmentation. - Ourui Fu; Hangzhou He; Xinliang Zhang; Lei Zhu 012; Shuang Zeng; Zhaoheng Xie; Yanye Lu (CoRR, 2025)