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Yue Wang

180 papers · 2010–2026 · 23 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 44% 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 Yue 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.

with Zhi-ming Ma, Tie-yan Liu, Juntao Li 19 papers · 2017–2026 · ICLR, ACL, AAAI Hide ▲
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs ACL 2026 Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning AAAI 2026 From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control ICML 2025 HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting ICLR 2025 How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation AAAI 2025 Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control IJCAI 2025 Wavelet Diffusion Neural Operator ICLR 2025 π’œ3: Automatic Alignment Framework for Attributed Text Generation ACL 2025 Better Neural PDE Solvers Through Data-Free Mesh Movers ICLR 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems NeurIPS 2024 Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model COLING 2024 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023 G-SPEED: General SParse Efficient Editing MoDel EMNLP 2023 Making Better Decision by Directly Planning in Continuous Control ICLR 2023 NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition ICML 2023 Towards Better Hierarchical Text Classification with Data Generation ACL 2023 Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022 R-Drop: Regularized Dropout for Neural Networks NeurIPS 2021 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017
25 papers whose co-authors appear nowhere else under this name
AwarenessBench: Assessing Cognitive Capabilities of Language Models ACL 2026 InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields CVPR 2026 Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection MIDL 2026 Pantheon360: Taming Digital Twin Generation via 3D-Aware 360deg Video Diffusion CVPR 2026 Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP CVPR 2026 Stationary Robust Mean-Field Games under Model Mismatches UAI 2026 Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection AAAI 2025 Fantastic Copyrighted Beasts and How (Not) to Generate Them ICLR 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning IJCAI 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services ICML 2025 Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting CVPR 2025 Removing the Quality Tax in Controllable Face Generation WACV 2024 PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow CVPR 2023 Sentence-Level Resampling for Named Entity Recognition NAACL 2022 Towards Modeling the Style of Translators in Neural Machine Translation NAACL 2021 Causal inference in degenerate systems: An impossibility result AISTATS 2020 Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product EMNLP 2020 PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention WACV 2020 Deep Closest Point: Learning Representations for Point Cloud Registration ICCV 2019 The Strength of the Weakest Supervision: Topic Classification Using Class Labels NAACL 2019 The APVA-TURBO Approach To Question Answering in Knowledge Base COLING 2018 Regression Model Fitting under Differential Privacy and Model Inversion Attack IJCAI 2015 A Study of Concept-based Weighting Regularization for Medical Records Search ACL 2014