MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network - Yujun Huang; Bin Chen; Naiqi Li; Baoyi An; Shu-Tao Xia; Yaowei Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution - Jiarui Yang; Tao Dai; Yufei Zhu; Naiqi Li; Jinmin Li; Shu-Tao Xia (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

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 (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

DNF: Unconditional 4D Generation with Dictionary-based Neural Fields - Xinyi Zhang; Naiqi Li; Angela Dai (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025)

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 (Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025, 2025)

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 (CoRR, 2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction - Yifan Hu; Peiyuan Liu; Yuante Li; Dawei Cheng; Naiqi Li; Tao Dai; Jigang Bao; Shu-Tao Xia (CoRR, 2025)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting - Yifan Hu; Yuante Li; Peiyuan Liu; Yuxia Zhu; Naiqi Li; Tao Dai; Shutao Xia; Dawei Cheng; Changjun Jiang (CoRR, 2025)

Efficient Differentiable Approximation of Generalized Low-rank Regularization - Naiqi Li; Yuqiu Xie; Peiyuan Liu; Tao Dai; Yong Jiang; Shu-Tao Xia (CoRR, 2025)

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language - Naiqi Li; Peiyuan Liu; Zheng Liu; Tao Dai; Yong Jiang; Shu-Tao Xia (CoRR, 2025)

Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood - Naiqi Li; Zhikang Xia; Yiming Li; Ercan E. Kuruoglu; Yong Jiang; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

Node-Level Graph Regression With Deep Gaussian Process Models - Naiqi Li; Wenjie Li; Yinghua Gao; Yiming Li; Jigang Bao; Ercan E. Kuruoglu; Yong Jiang; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

Procedural Level Generation with Diffusion Models from a Single Example - Shiqi Dai; Xuanyu Zhu; Naiqi Li; Tao Dai; Zhi Wang (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

CAGEN: Controllable Anomaly Generator using Diffusion Model - Bolin Jiang; Yuqiu Xie; Jiawei Li; Naiqi Li; Yong Jiang; Shu-Tao Xia (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

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 (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Periodicity Decoupling Framework for Long-term Series Forecasting - Tao Dai; Beiliang Wu; Peiyuan Liu; Naiqi Li; Jigang Bao; Yong Jiang; Shu-Tao Xia (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

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 (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection - Bolin Jiang; Yuqiu Xie; Jiawei Li; Naiqi Li; Bin Chen; Shu-Tao Xia (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting - Tao Dai; Beiliang Wu; Peiyuan Liu; Naiqi Li; Xue Yuerong; Shu-Tao Xia; Zexuan Zhu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling - Yaohua Zha; Naiqi Li; Yanzi Wang; Tao Dai; Hang Guo; Bin Chen; Zhi Wang; Zhihao Ouyang; Shu-Tao Xia (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network - Yujun Huang; Bin Chen; Naiqi Li; Baoyi An; Shu-Tao Xia; Yaowei Wang (CoRR, 2024)

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation - Peiyuan Liu; Hang Guo; Tao Dai; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang; Shu-Tao Xia (CoRR, 2024)

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling - Yaohua Zha; Naiqi Li; Yanzi Wang; Tao Dai; Hang Guo; Bin Chen; Zhi Wang; Zhihao Ouyang; Shu-Tao Xia (CoRR, 2024)

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting - Jiarui Yang; Tao Dai; Naiqi Li; Junxi Wu; Peiyuan Liu; Jinmin Li; Jigang Bao; Haigang Zhang; Shutao Xia (CoRR, 2024)

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 (CoRR, 2024)

DNF: Unconditional 4D Generation with Dictionary-based Neural Fields - Xinyi Zhang; Naiqi Li; Angela Dai (CoRR, 2024)

Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution - Jiarui Yang; Tao Dai; Yufei Zhu; Naiqi Li; Jinmin Li; Shutao Xia (CoRR, 2024)

Difficulty-Aware Data Augmentor for Scene Text Recognition - Guanghao Meng; Tao Dai; Bin Chen; Naiqi Li; Yong Jiang; Shu-Tao Xia (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model - Xinyi Zhang; Naiqi Li; Jiawei Li; Tao Dai; Yong Jiang; Shu-Tao Xia (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

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 (CoRR, 2023)

Deep Dirichlet process mixture models - Naiqi Li; Wenjie Li; Yong Jiang; Shu-Tao Xia (Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands, 2022)

SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation - Jiawei Li; Bolin Jiang; Yan Liu; Chengxiao Luo; Naiqi Li; Bin Chen (CoRR, 2022)

GDTW: A Novel Differentiable DTW Loss for Time Series Tasks - Xiang Liu; Naiqi Li; Shu-Tao Xia (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression - Naiqi Li; Yinghua Gao; Wenjie Li; Yong Jiang; Shu-Tao Xia (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

Generalized Local Aggregation for Large Scale Gaussian Process Regression - Yinghua Gao; Naiqi Li; Ning Ding; Yiming Li; Tao Dai; Shu-Tao Xia (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

Stochastic Deep Gaussian Processes over Graphs - Naiqi Li; Wenjie Li; Jifeng Sun; Yinghua Gao; Yong Jiang; Shu-Tao Xia (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Automatic Verification of Golog Programs via Predicate Abstraction - Peiming Mo; Naiqi Li; Yongmei Liu (ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016), 2016)

Automatic Verification of Partial Correctness of Golog Programs - Naiqi Li; Yongmei Liu (Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015)

Reasoning about State Constraints in the Situation Calculus - Naiqi Li; Yi Fan; Yongmei Liu (IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, 2013)

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 (Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada, 2012)