Naiqi Li

16 papers · 2013–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🤝 Dynamic Duo (12)

🏆 Grand Slam 🗃️ Keyword Collector (76) ⚡ Prolific Year · Productive 🚀 Conference Pioneer 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze

Venues

IJCAI (4) AAAI (3) NeurIPS (3) ICML (2) CVPR (1) ICCV (1) ICLR (1) UAI (1)

Top co-authors

Shu-Tao Xia (12) Tao Dai (11) Yong Jiang (6) Peiyuan Liu (6) Beiliang Wu (3) Jigang Bao (3) Yifan Hu (2) Zhi Wang (2) Yongmei Liu (2) Yuqiu Xie (2)

Research topics

Deep Learning (12) Machine Learning (8) Models (7) Computer Vision (5) Architectures (5) Core Methods (4) Artificial Intelligence (3) Data Science & Analytics (3) Analysis (3) Generation (3) Learning Types (3) Methods (3) Optimization & Theory (3) Computer Science (2) Applications (2)

Keywords

diffusion model (4) time series forecasting (4) image generation (2) image restoration (2) variational inference (1) deep learning (1) feature learning (1) nonstationarity (1) model architecture (1) point cloud analysis (1) wavelet transform (1) procedural generation (1) cross-modal learning (1) modality alignment (1) gaussian process (1) image denoising (1) time series (1) gradient descent (1) uncertainty quantification (1) dirichlet process (1)

Papers

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025 Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution AAAI 2025 DNF: Unconditional 4D Generation with Dictionary-based Neural Fields CVPR 2025 Efficient Differentiable Approximation of Generalized Low-rank Regularization IJCAI 2025 TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting ICML 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting ICML 2025 DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting NeurIPS 2024 GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process IJCAI 2024 LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling NeurIPS 2024 Periodicity Decoupling Framework for Long-term Series Forecasting ICLR 2024 Procedural Level Generation with Diffusion Models from a Single Example AAAI 2024 Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model ICCV 2023 Deep Dirichlet process mixture models UAI 2022 Stochastic Deep Gaussian Processes over Graphs NeurIPS 2020 Automatic Verification of Partial Correctness of Golog Programs IJCAI 2015 Reasoning about State Constraints in the Situation Calculus IJCAI 2013