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Xiaodong Li

34 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9)
🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (8) 🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (139) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (31) ❓ The Questioner (2) ⚑ Prolific Year (9)

Conferences

INTERSPEECH (10) AAAI (7) ACL (5) ICML (3) IJCAI (3) ICLR (2) JMLR (2) AISTATS (1) ECCV (1)

Papers

DegVoC: Revisiting Neural Vocoder from a Degradation Perspective AAAI 2026 SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis AAAI 2026 GOMPSNR: Reflourish the Signal-to-Noise Ratio Metric for Audio Generation Tasks AAAI 2026 Beyond the Answer: Advancing Multi-Hop QA with Fine-Grained Graph Reasoning and Evaluation ACL 2025 SOTOPIA-Ξ©: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents ACL 2025 Metagent-P: A Neuro-Symbolic Planning Agent with Metacognition for Open Worlds ACL 2025 M2PA: A Multi-Memory Planning Agent for Open Worlds Inspired by Cognitive Theory ACL 2025 Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models AISTATS 2025 Learning Neural Vocoder from Range-Null Space Decomposition IJCAI 2025 Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization AAAI 2025 Micro-Act: Mitigate Knowledge Conflict in Question Answering via Actionable Self-Reasoning ACL 2025 Factor Graph-based Interpretable Neural Networks ICLR 2025 Are Large Language Models Ready for Multi-Turn Tabular Data Analysis? ICML 2025 Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations ICML 2025 Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach IJCAI 2025 Adaptive Stabilization Based on Machine Learning for Column Generation ICML 2024 Learning to Generate Columns with Application to Vertex Coloring ICLR 2023 Low-complexity Broadband Beampattern Synthesis using Array Response Control INTERSPEECH 2023 TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective INTERSPEECH 2023 PANDORA: A Panoramic Detection Dataset for Object with Orientation ECCV 2022 Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement IJCAI 2022 Unbiased IoU for Spherical Image Object Detection AAAI 2022 Bifurcation and Reunion: A Loss-Guided Two-Stage Approach for Monaural Speech Dereverberation INTERSPEECH 2022 A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation INTERSPEECH 2022 TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor’s Approximation Theory INTERSPEECH 2022 Fully Automatic Balance between Directivity Factor and White Noise Gain for Large-scale Microphone Arrays in Diffuse Noise Fields INTERSPEECH 2022 Nonconvex Matrix Completion with Linearly Parameterized Factors JMLR 2022 Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring AAAI 2022 Acoustic Echo Cancellation Using Deep Complex Neural Network with Nonlinear Magnitude Compression and Phase Information INTERSPEECH 2021 Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement INTERSPEECH 2021 A Simultaneous Denoising and Dereverberation Framework with Target Decoupling INTERSPEECH 2021 A Recursive Network with Dynamic Attention for Monaural Speech Enhancement INTERSPEECH 2020 Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020 Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019