Publications
Yujun Huang, Bin Chen, Naiqi Li, and Shu-Tao Xia, Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing, submitted to IEEE Transactions on Signal Processing (TSP).
Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang and Shu-Tao Xia, Node-level Graph Regression with Deep Gaussian Process Models, submitted to IEEE Transactions on Artificial Intelligence.
Naiqi Li, Yuqiu Xie, Tao Dai, Jiawei Li, Bin Chen, Yong Jiang and Shu-Tao Xia, Efficient Differentiable Approximation of the Generalized Low-rank Regularization, submitted to the International Conference on Learning Representations (ICLR-24).
Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang and Shu-Tao Xia, Periodicity Decoupling Framework for Long-term Series Forecasting, submitted to the International Conference on Learning Representations (ICLR-24).
Jiarui Yang, Yufei Zhu, Naiqi Li, Jinmin Li, Tao Dai and Shu-Tao Xia, Conditional Mask Guided Diffusion Prior Interpolation for Consistent Face Super-Resolution, submitted to The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR-24).
Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai and Zhi Wang, Procedural Level Generation with Diffusion Models from a Single Example, submitted to AAAI Conference on Artificial Intelligence (AAAI-24).
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang and Shu-Tao Xia, WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting, submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-24).
Xiang Liu, Bin Chen, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang and Shu-Tao Xia, H-ROCKET: Evolutionary Rocket With Hybrid Kernels for Fast Time Series Classification, submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-24).
Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang and Shu-tao Xia, Generation and Fusion: Augmenting Datasets for Image Anomaly Detection via Latent Diffusion Model, submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-24).
Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Yong Jiang and Shu-tao Xia, DiffuseQR: Stylized QR Code Generation, submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-24).
- Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang and Shu-Tao Xia, Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV-23), 2023.
Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang and Shu-Tao Xia, Portfolio Selection via Graph-aware Gaussian Process Regression with Generalized Gaussian Likelihood, IEEE Transaction on Artificial Intelligence, 2023.
Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang and Shu-Tao Xia, Difficulty-Aware Data Augmentor for Scene Text Recognition, In International Conference on Acoustics, Speech and Signal Processing (ICASSP-23), 2023.
Naiqi Li *, Wenjie Li *, Yong Jiang and Shu-Tao Xia, Deep Dirichlet Process Mixture Models. In Conference on Uncertainty in Artificial Intelligence (UAI-22), 2022.
Lu Si, Naiqi Li, Tongyu Huang, Shan Du, Yang Dong, Yue Yao, Hui Ma, Computational image translation from Mueller matrix polarimetry to bright-field microscopy. Journal of Biophotonics, 2021.
Lu Si, Naiqi Li, Shan Du, Yang Dong, Shaoxiong Liu, and Hui Ma, Computational Immunohistochemistry Staining on Lung Tissues based on Mueller Matrix Microscopy. In Proceedings of Polarized Light and Optical Angular Momentum for Biomedical Diagnostics, 2021.
Naiqi Li, Yinghua Gao, Yong Jiang and Shu-Tao Xia, H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. In International Conference on Acoustics, Speech and Signal Processing (ICASSP-21), 2021.
Xiang Liu, Naiqi Li, Shu-Tao Xia, GDTW: A Novel Differentiable DTW Loss For Time Series Tasks. In International Conference on Acoustics, Speech and Signal Processing (ICASSP-21), 2021.
Naiqi Li *, Wenjie Li *, Jifeng Sun, Yinghua Gao, Yong Jiang and Shu-Tao Xia, Stochastic Deep Gaussian Processes over Graphs. In Advances in Neural Information Processing Systems (NeurIPS-20), 2020.
Yinghua Gao *, Naiqi Li *, Ning Ding, Yiming Li, Tao Dai and Shu-Tao Xia, Generalized Local Aggregation for Large Scale Gaussian Process Regression. In the International Joint Conference on Neural Networks (IJCNN-20), 2020.
Peiming Mo, Naiqi Li and Yongmei Liu. Automatic Verification of Golog Programs via Predicate Abstraction. In Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI-16), 2016.
Naiqi Li and Yongmei Liu. Automatic Verification of Partial Correctness of Golog Programs. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-15), 2015.
Naiqi Li, Yi Fan and Yongmei Liu. Reasoning about State Constraints in the Situation Calculus. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), 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. In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12), 2012.
(* indicates equal contributions)