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Xiao Wang

166 papers · 2016–2026 · 19 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 41 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Xiao Wang?

16 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

25 papers whose co-authors appear nowhere else under this name
MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI MIDL 2026 SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal AAAI 2026 Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026 Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation AAAI 2026 Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation ACL 2026 Censor Dependent Variational Inference ICML 2025 Fine-Grained Constraint Generation-Verification for Improved Instruction-Following ACL 2025 Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion AAAI 2025 InternLM-Law: An Open-Sourced Chinese Legal Large Language Model COLING 2025 MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity JMLR 2025 Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning UAI 2024 Nimbus: Secure and Efficient Two-Party Inference for Transformers NeurIPS 2024 ProxyFusion: Face Feature Aggregation Through Sparse Experts NeurIPS 2024 Word-Conditioned 3D American Sign Language Motion Generation EMNLP 2024 Zeroth-order Stochastic Approximation Algorithms for DR-submodular Optimization JMLR 2024 Curricular Object Manipulation in LiDAR-Based Object Detection CVPR 2023 Effective Contrastive Weighting for Dense Query Expansion ACL 2023 Learning Invariant Molecular Representation in Latent Discrete Space NeurIPS 2023 Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting Interspeech 2022 On the Importance of Asymmetry for Siamese Representation Learning CVPR 2022 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Cross-Lingual Document Retrieval with Smooth Learning COLING 2020 Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019 Context Regularity Indexed by Auditory N1 and P2 Event-Related Potentials Interspeech 2017