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← Authors

Shuang Zeng

24 papers · 2020–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13)
🐣 Hot Topic Early Bird 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🧬 Topic Evolution 🔥 Unstoppable (6) 🚀 Conference Pioneer 💎 Century Club (19) ⚡ Prolific Year (5) 📈 Trend Setter 🗃️ Keyword Collector (102)

Conferences

AAAI (6) ACL (4) COLING (3) MICCAI (3) NAACL (2) CVPR (1) EMNLP (1) ICCV (1) ICLR (1) ICML (1) IJCNLP (1)

Top co-authors

Baobao Chang (9) Mu Xu (4) Xinyuan Chang (4) Liangqiong Qu (4) Shuzheng Si (4) Yuyin Zhou (3) Yujian Yuan (3) Shiyi Liang (3) Xinran Liu (3) Pengxin Guo (3)

Research topics

Techniques (1) Privacy (1)

Keywords

autonomous driving (3) named entity recognition (3) graph neural network (2) contrastive learning (2) large language model (2) federated learning (2) knowledge distillation (1) noisy label learning (1) reinforcement learning (1) uncertainty quantification (1) hierarchical classification (1) self-supervised learning (1) representation learning (1) relation extraction (1) scene understanding (1) argument extraction (1) document-level extraction (1) text generation (1) semantic analysis (1) sequence labeling (1)

Papers

UniMapGen: A Generative Framework for Large-Scale Map Construction from Multi-modal Data AAAI 2026 Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving AAAI 2026 MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics ACL 2026 Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement AAAI 2026 PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors AAAI 2026 Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness ICML 2025 A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025 SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions ICCV 2025 Selective Aggregation for Low-Rank Adaptation in Federated Learning ICLR 2025 V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer AAAI 2025 Tackling Data Heterogeneity in Federated Learning via Loss Decomposition MICCAI 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning ACL 2024 Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation MICCAI 2024 LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation MICCAI 2024 SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition ACL 2023 Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting NAACL 2022 Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing COLING 2022 SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER COLING 2022 DISK: Domain-constrained Instance Sketch for Math Word Problem Generation COLING 2022 A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction NAACL 2022 SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction IJCNLP 2021 SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction ACL 2021 Double Graph Based Reasoning for Document-level Relation Extraction EMNLP 2020