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 Transactions on Artificial Intelligence (TAI), 2024.
[paper]
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 Transactions on Artificial Intelligence (TAI), 2024.
[paper]
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. Conference on Neural Information Processing Systems (NeurIPS), 2024.
[paper]
Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li†, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu. DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting. Conference on Neural Information Processing Systems (NeurIPS), 2024.
[paper]
Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang. Procedural Level Generation with Diffusion Models from a Single Example. AAAI Conference on Artificial Intelligence (AAAI), 2024.
[paper]
Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li†, Yong Jiang, Shu-Tao Xia. CAGEN: Controllable Anomaly Generator using Diffusion Model. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[paper]
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. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[paper]
Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li†, Jigang Bao, Yong Jiang, Shu-Tao Xia. Periodicity Decoupling Framework for Long-term Series Forecasting. International Conference on Learning Representations (ICLR), 2024.
[paper]
[poster]
Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li†, Bin Chen†, Tao Dai, Yuang Peng, Shu-Tao Xia. GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[paper]
Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li†, Bin Chen†, Shu-Tao Xia. IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection. ACM International Conference on Multimedia (MM), 2024.
[paper]
2023
Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia. Difficulty-Aware Data Augmentor for Scene Text Recognition. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
[paper]
Xinyi Zhang*, Naiqi Li*†, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia. Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. International Conference on Computer Vision (ICCV), 2023.
[paper]
2022
Naiqi Li*, Wenjie Li*, Yong Jiang, Shu-Tao Xia. Deep Dirichlet process mixture models. Conference on Uncertainty in Artificial Intelligence (UAI), 2022.
[paper]
2021
Xiang Liu, Naiqi Li, Shu-Tao Xia. GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
[paper]
Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia. H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
[paper]
2020
Yinghua Gao*, Naiqi Li*, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia. Generalized Local Aggregation for Large Scale Gaussian Process Regression. International Joint Conference on Neural Networks (IJCNN), 2020.
[paper]
Naiqi Li*, Wenjie Li*, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia. Stochastic Deep Gaussian Processes over Graphs. Conference on Neural Information Processing Systems (NeurIPS), 2020.
[paper]
2019前
Peiming Mo, Naiqi Li, Yongmei Liu. Automatic Verification of Golog Programs via Predicate Abstraction. European Conference on Artificial Intelligence (ECAI), 2016.
[paper]
Naiqi Li, Yongmei Liu. Automatic Verification of Partial Correctness of Golog Programs. International Joint Conference on Artificial Intelligence (IJCAI), 2015.
[paper]
Naiqi Li, Yi Fan, Yongmei Liu. Reasoning about State Constraints in the Situation Calculus. International Joint Conference on Artificial Intelligence (IJCAI), 2013.
[paper]
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 Conference on Artificial Intelligence (AAAI), 2012.
[paper]
会议报告：Automatic Verification of Partial Correctness of Golog Programs. nternational Chinese Scholar Workshop on Knowledge Representation and Reasoning (KRW), 2015.
海报展示：Reasoning about State Constraints in the Situation Calculus. International Joint Conference on Artificial Intelligence (IJCAI), 2013.
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