Naiqi Li

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 20

Top Topics

Diffusion Model

Gaussian Process

Top Venues

IEEE Trans. Artif. Intell.

Publications

Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
Periodicity Decoupling Framework for Long-term Series Forecasting. ICLR (2024)
Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. IEEE Trans. Artif. Intell. 5 (2) (2024)
Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang
MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network. CoRR (2024)
Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5 (6) (2024)
Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu-Tao Xia
CAGEN: Controllable Anomaly Generator using Diffusion Model. ICASSP (2024)
Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. CoRR (2024)
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. CoRR (2024)
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. CoRR (2024)
Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang
Procedural Level Generation with Diffusion Models from a Single Example. AAAI (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. ICASSP (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting. CoRR (2023)
Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. ICCV (2023)
Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia
Difficulty-Aware Data Augmentor for Scene Text Recognition. ICASSP (2023)
Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia
Deep Dirichlet process mixture models. UAI (2022)
Jiawei Li, Bolin Jiang, Yan Liu, Chengxiao Luo, Naiqi Li, Bin Chen
SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation. CoRR (2022)
Xiang Liu, Naiqi Li, Shu-Tao Xia
GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. ICASSP (2021)
Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP (2021)
Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia
Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN (2020)
Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia
Stochastic Deep Gaussian Processes over Graphs. NeurIPS (2020)
Peiming Mo, Naiqi Li, Yongmei Liu
Automatic Verification of Golog Programs via Predicate Abstraction. ECAI (2016)
Naiqi Li, Yongmei Liu
Automatic Verification of Partial Correctness of Golog Programs. IJCAI (2015)
Naiqi Li, Yi Fan, Yongmei Liu
Reasoning about State Constraints in the Situation Calculus. IJCAI (2013)
Yi Fan, Minghui Cai, Naiqi Li, Yongmei Liu
A First-Order Interpreter for Knowledge-Based Golog with Sensing based on Exact Progression and Limited Reasoning. AAAI (2012)