Shuang Zeng

According to our database, Shuang Zeng authored at least 63 papers between 2020 and 2026.

Collaborative distances:

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

2026

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

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation.

Shuang Zeng, Boxu Xie, Lei Zhu, Xinliang Zhang, Jiakui Hu, Zhengjian Yao, Yuanwei Li, Yuxing Lu, Yanye Lu

CoRR, April, 2026

ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment.

Yuzhi Chen, Ronghan Chen, Dongjie Huo, Yandan Yang, Dekang Qi, Haoyun Liu, Tong Lin, Shuang Zeng, Junjin Xiao, Xinyuan Chang, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, March, 2026

MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving.

Lingjun Zhang, Yujian Yuan, Changjie Wu, Xinyuan Chang, Xin Cai, Shuang Zeng, Linzhe Shi, Sijin Wang, Hang Zhang, Mu Xu

CoRR, February, 2026

Geometry-as-context: Modulating Explicit 3D in Scene-consistent Video Generation to Geometry Context.

JiaKui Hu, Jialun Liu, Liying Yang, Xinliang Zhang, Kaiwen Li, Shuang Zeng, Yuanwei Li, Haibin Huang, Chi Zhang, Yanye Lu

CoRR, February, 2026

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning.

Yandan Yang, Shuang Zeng, Tong Lin, Xinyuan Chang, Dekang Qi, Junjin Xiao, Haoyun Liu, Ronghan Chen, Yuzhi Chen, Dongjie Huo, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, February, 2026

MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation.

Dekang Qi, Shuang Zeng, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Mu Xu

CoRR, February, 2026

HPCTrans: Heterogeneous Plumage Cues-Aware Texton Correlation Representation for FBIC via Transformers.

Hai Liu, Shuang Zeng, Liqian Deng, Tingting Liu, Xionghua Liu, Zhaoli Zhang, You-Fu Li

IEEE Trans. Circuits Syst. Video Technol., January, 2026

Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration.

Zhengjian Yao, Jiakui Hu, Kaiwen Li, Hangzhou He, Xinliang Zhang, Shuang Zeng, Lei Zhu, Yanye Lu

CoRR, January, 2026

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-Training.

Shuang Zeng, Lei Zhu, Xinliang Zhang, Hangzhou He, Yanye Lu

IEEE Trans. Image Process., 2026

CASLO: Joint scaling and deployment for microservices leveraging context-aware SLO assignment.

Shuang Zeng, Haitao Zhang, Zezhong Yan

J. Netw. Comput. Appl., 2026

Stochastic Gradient Methods: Bias, Stability and Generalization.

Shuang Zeng, Yunwen Lei

J. Mach. Learn. Res., 2026

Improve retinal artery/vein classification via channel coupling.

Shuang Zeng, Chee Hong Lee, Kaiwen Li, Boxu Xie, Ourui Fu, Hangzhou He, Lei Zhu, Yanye Lu, Fangxiao Cheng

Expert Syst. Appl., 2026

PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors.

Shuang Zeng, Xinyuan Chang, Xinran Liu, Yujian Yuan, Shiyi Liang, Zheng Pan, Mu Xu, Xing Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

UniMapGen: A Generative Framework for Large-Scale Map Construction from Multi-modal Data.

Yujian Yuan, Changjie Wu, Xinyuan Chang, Sijin Wang, Hang Zhang, Shiyi Liang, Shuang Zeng, Mu Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement.

Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, WangJie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving.

Shiyi Liang, Xinyuan Chang, Changjie Wu, Huiyuan Yan, Yifan Bai, Xinran Liu, Hang Zhang, Yujian Yuan, Shuang Zeng, Mu Xu, Xing Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Points-Supervised Fundus Vessel Segmentation via Shape Priors and Contrastive Learning.

Kaiwen Li, Hangzhou He, Shuang Zeng, Xinliang Zhang, Yuanwei Li, Lei Zhu, Yanye Lu

IEEE Trans. Medical Imaging, December, 2025

AdaTok: Adaptive Token Compression with Object-Aware Representations for Efficient Multimodal LLMs.

Xinliang Zhang, Lei Zhu, Hangzhou He, Shuang Zeng, Ourui Fu, Jiakui Hu, Zhengjian Yao, Yanye Lu

CoRR, November, 2025

MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics.

Yuxing Lu, Xukai Zhao, J. Ben Tamo, Micky C. Nnamdi, Rui Peng, Shuang Zeng, Xingyu Hu, Jinzhuo Wang, May D. Wang

CoRR, October, 2025

JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation.

Shuang Zeng, Dekang Qi, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Shiyi Liang, Mu Xu, Xing Wei

CoRR, September, 2025

Improve Retinal Artery/Vein Classification via Channel Couplin.

Shuang Zeng, Chee Hong Lee, Kaiwen Li, Boxu Xie, Ourui Fu, Hangzhou He, Lei Zhu, Yanye Lu, Fangxiao Cheng

CoRR, August, 2025

I²R: Inter and Intra-image Refinement in Few Shot Segmentation.

Ourui Fu, Hangzhou He, Xinliang Zhang, Lei Zhu, Shuang Zeng, Zhaoheng Xie, Yanye Lu

CoRR, July, 2025

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation.

Lei Zhu, Xinliang Zhang, Hangzhou He, Qian Chen, Sha Li, Shuang Zeng, Yibao Zhang, Qiushi Ren, Yanye Lu

IEEE Trans. Neural Networks Learn. Syst., June, 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, May, 2025

Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation.

Xinliang Zhang, Lei Zhu, Shuang Zeng, Hangzhou He, Ourui Fu, Zhengjian Yao, Zhaoheng Xie, Yanye Lu

CoRR, March, 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, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Lei Zhu, Yanye Lu, Qiushi Ren

Image Vis. Comput., 2025

Exploiting module evolution correlation relationship for fine-grained bird image classification with structural functional representation.

Shuang Zeng, Hai Liu, Tingting Liu, Qiuxia Liu, Minhong Wang, Bing Yang, Zhaoli Zhang

Neurocomputing, 2025

The drone-assisted simultaneous pickup and delivery problem with time windows.

Xia Zhang, Shuang Zeng

Comput. Oper. Res., 2025

Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness.

Shuang Zeng, Yunwen Lei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Selective Aggregation for Low-Rank Adaptation in Federated Learning.

Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

CoMPI: Coordinated Model Merging and Parallel Inference at Edge.

Shuang Zeng, Haitao Zhang, Zezhong Yan

Proceedings of the 2025 ACM Symposium on Cloud Computing, 2025

V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer.

Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

A New Federated Learning Framework Against Gradient Inversion Attacks.

Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

SCA-YOLO: a new small object detection model for UAV images.

Shuang Zeng, Wenzhu Yang, Yanyan Jiao, Lei Geng, Xinting Chen

Vis. Comput., March, 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., January, 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

TAN: a temporal-aware attention network with context-rich representation for boosting proposal generation.

Yanyan Jiao, Wenzhu Yang, Wenjie Xing, Shuang Zeng, Lei Geng

Complex Intell. Syst., 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, Shengbin Weng

Adv. Eng. Informatics, 2024

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition.

Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation.

Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A multilayer human motion prediction perceptron by aggregating repetitive motion.

Lei Geng, Wenzhu Yang, Yanyan Jiao, Shuang Zeng, Xinting Chen

Mach. Vis. Appl., November, 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., May, 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

Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training.

Shuang Zeng, Lei Zhu, Xinliang Zhang, Zifeng Tian, Qian Chen, Lujia Jin, Jiayi Wang, Yanye Lu

CoRR, 2023

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation.

Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, Shuang Zeng, Qiushi Ren, Yanye Lu

CoRR, 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

Coarse-to-Fine Entity Representations for Document-Level Relation Extraction.

Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui

Proceedings of the Natural Language Processing and Chinese Computing, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.

Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting.

Shuzheng Si, Shuang Zeng, Baobao Chang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing.

Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo

Proceedings of the 29th International Conference on Computational Linguistics, 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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

DISK: Domain-constrained Instance Sketch for Math Word Problem Generation.

Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement.

Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction.

Shuang Zeng, Yuting Wu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

Evaluating Text Coherence at Sentence and Paragraph Levels.

Sennan Liu, Shuang Zeng, Sujian Li

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Double Graph Based Reasoning for Document-level Relation Extraction.

Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020