| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | ACL | 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 Dongmei Wang |
| 2026 | PAKDD | MPRL: Multi-Perspective Reinforcement Learning for Enhancing Format Adherence Capability of Large Language Models. | Bo Qian, Yuting Wu, Shuang Zeng, Ziming Wang, Qiaochen Wang |
| 2025 | AAAI | A New Federated Learning Framework Against Gradient Inversion Attacks. | Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu |
| 2025 | AAAI | V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. | Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu |
| 2025 | CLOUD | CoMPI: Coordinated Model Merging and Parallel Inference at Edge. | Shuang Zeng, Haitao Zhang, Zezhong Yan |
| 2025 | ICCV | SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions. | Mengwei Xie, Shuang Zeng, Xinyuan Chang, Xinran Liu, Zheng Pan, Mu Xu, Xing Wei |
| 2025 | ICLR | Selective Aggregation for Low-Rank Adaptation in Federated Learning. | Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu |
| 2025 | ICML | Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness. | Shuang Zeng, Yunwen Lei |
| 2024 | ACL | 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 |
| 2024 | CVPR | 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 |
| 2024 | MICCAI | LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation. | Yixin Chen, Xiangxi Meng, Yan Wang, Shuang Zeng, Xi Liu, Zhaoheng Xie |
| 2024 | MICCAI | Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. | Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu |
| 2024 | MICCAI | Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. | Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu |
| 2023 | ACL | 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 |
| 2022 | COLING | DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. | Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang |
| 2022 | COLING | SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. | Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang |
| 2022 | COLING | Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing. | Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo |
| 2022 | NAACL | Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. | Shuzheng Si, Shuang Zeng, Baobao Chang |
| 2022 | NAACL | A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. | Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui |
| 2021 | ACL | SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. | Shuang Zeng, Yuting Wu, Baobao Chang |
| 2021 | ICANN | Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. | Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang |
| 2020 | EMNLP | Double Graph Based Reasoning for Document-level Relation Extraction. | Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li |
| 2020 | LREC | Evaluating Text Coherence at Sentence and Paragraph Levels. | Sennan Liu, Shuang Zeng, Sujian Li |