• Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang. MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. [paper]

• Xinyi Zhang, Naiqi Li, Angela Dai. DNF: Unconditional 4D Generation with Dictionary-based Neural Fields. Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [paper] [project]

• Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen and Shu-Tao Xia. Expert-Enhanced Masked Point Modeling for Point Cloud Self-supervised Learning. International Conference on Robotics and Automation (ICRA), 2025.

• Yujun Liu, Chenhui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang and Shu-Tao Xia. MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. International World Wide Web Conference (WWW), Short Paper, 2025.

• Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li^†, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia. CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. AAAI Conference on Artificial Intelligence (AAAI), 2025. [paper] [github]

• Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia. Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. AAAI Conference on Artificial Intelligence (AAAI), 2025.

• 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] [poster]

• 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] [github] [poster]

• 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] [github] [poster] [slides]

• 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] [github] [poster]

• 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] [github] [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] [poster]

• 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]

• 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] [github] [poster]

• Naiqi Li*, Wenjie Li*, Yong Jiang, Shu-Tao Xia. Deep Dirichlet process mixture models. Conference on Uncertainty in Artificial Intelligence (UAI), 2022. [paper] [poster]

• 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]

• 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] [poster]

• 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]

2025

• Paper reviewer: IJCV, AAAI, KDD, CVPR, ICASSP, UAI, IJCNN

2024

• Paper reviewer: UAI, ICASSP, TNNLS

2022

• Paper reviewer: ICASSP

2020

• Poster presentation: Stochastic Deep Gaussian Processes over Graphs. Conference on Neural Information Processing Systems (NeurIPS), 2020.
• Online talk: Deep Gaussian Processes over Graphs

~2019

• Conference presentation: Automatic Verification of Partial Correctness of Golog Programs. International Chinese Scholar Workshop on Knowledge Representation and Reasoning (KRW), 2015.
• Poster presentation: Reasoning about State Constraints in the Situation Calculus. International Joint Conference on Artificial Intelligence (IJCAI), 2013.
• Assisted with paper reviewing: IJCAI-16, AAAI-16, IJCAI-15, PRIMA-15