| 2025 | AAAI | CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. | Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia |
| 2025 | AAAI | Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. | Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia |
| 2025 | CVPR | DNF: Unconditional 4D Generation with Dictionary-based Neural Fields. | Xinyi Zhang, Naiqi Li, Angela Dai |
| 2025 | ICML | TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. | Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan |
| 2025 | ICML | TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. | Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia |
| 2025 | IJCAI | Efficient Differentiable Approximation of Generalized Low-rank Regularization. | Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia |
| 2025 | ICRA | Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning. | Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen, Shu-Tao Xia |
| 2025 | WWW | MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. | YuJun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | AAAI | Procedural Level Generation with Diffusion Models from a Single Example. | Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang |
| 2024 | ICASSP | CAGEN: Controllable Anomaly Generator using Diffusion Model. | Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu-Tao Xia |
| 2024 | ICASSP | WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. | Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | ICLR | Periodicity Decoupling Framework for Long-term Series Forecasting. | Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | IJCAI | GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. | Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia |
| 2023 | ICASSP | Difficulty-Aware Data Augmentor for Scene Text Recognition. | Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia |
| 2023 | ICCV | Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. | Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia |
| 2022 | UAI | Deep Dirichlet process mixture models. | Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia |
| 2021 | ICASSP | H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. | Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia |
| 2021 | ICASSP | GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. | Xiang Liu, Naiqi Li, Shu-Tao Xia |
| 2020 | IJCNN | Generalized Local Aggregation for Large Scale Gaussian Process Regression. | Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia |
| 2016 | ECAI | Automatic Verification of Golog Programs via Predicate Abstraction. | Peiming Mo, Naiqi Li, Yongmei Liu |
| 2015 | IJCAI | Automatic Verification of Partial Correctness of Golog Programs. | Naiqi Li, Yongmei Liu |
| 2013 | IJCAI | Reasoning about State Constraints in the Situation Calculus. | Naiqi Li, Yi Fan, Yongmei Liu |
| 2012 | AAAI | A First-Order Interpreter for Knowledge-Based Golog with Sensing based on Exact Progression and Limited Reasoning. | Yi Fan, Minghui Cai, Naiqi Li, Yongmei Liu |