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 001 (AAAI, 2012)

Reasoning about State Constraints in the Situation Calculus. - Naiqi Li; Yi Fan; Yongmei Liu 001 (IJCAI, 2013)

Automatic Verification of Partial Correctness of Golog Programs. - Naiqi Li; Yongmei Liu 001 (IJCAI, 2015)

Automatic Verification of Golog Programs via Predicate Abstraction. - Peiming Mo; Naiqi Li; Yongmei Liu 001 (ECAI, 2016)

Generalized Local Aggregation for Large Scale Gaussian Process Regression. - Yinghua Gao; Naiqi Li; Ning Ding 002; Yiming Li 004; Tao Dai 001; Shu-Tao Xia (IJCNN, 2020)

Stochastic Deep Gaussian Processes over Graphs. - Naiqi Li; Wenjie Li 008; Jifeng Sun; Yinghua Gao; Yong Jiang 001; Shu-Tao Xia (NeurIPS, 2020)

H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. - Naiqi Li; Yinghua Gao; Wenjie Li 008; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2021)

GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. - Xiang Liu; Naiqi Li; Shu-Tao Xia (ICASSP, 2021)

Deep Dirichlet process mixture models. - Naiqi Li; Wenjie Li 008; Yong Jiang 001; Shu-Tao Xia (UAI, 2022)

SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation. - Jiawei Li 006; Bolin Jiang; Yan Liu; Chengxiao Luo; Naiqi Li; Bin Chen 011 (CoRR, 2022)

Difficulty-Aware Data Augmentor for Scene Text Recognition. - Guanghao Meng; Tao Dai 001; Bin Chen 011; Naiqi Li; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2023)

Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. - Xinyi Zhang; Naiqi Li; Jiawei Li 006; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (ICCV, 2023)

Procedural Level Generation with Diffusion Models from a Single Example. - Shiqi Dai; Xuanyu Zhu; Naiqi Li; Tao Dai 001; Zhi Wang 001 (AAAI, 2024)

CAGEN: Controllable Anomaly Generator using Diffusion Model. - Bolin Jiang; Yuqiu Xie; Jiawei Li 006; Naiqi Li; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2024)

WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Naiqi Li; Tao Dai 001; Fengmao Lei; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2024)

Periodicity Decoupling Framework for Long-term Series Forecasting. - Tao Dai 001; Beiliang Wu; Peiyuan Liu; Naiqi Li; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICLR, 2024)

GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. - Yuqiu Xie; Bolin Jiang; Jiawei Li 006; Naiqi Li; Bin Chen 011; Tao Dai 001; Yuang Peng; Shu-Tao Xia (IJCAI, 2024)

IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection. - Bolin Jiang; Yuqiu Xie; Jiawei Li 006; Naiqi Li; Bin Chen 011; Shu-Tao Xia (ACM Multimedia, 2024)

DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting. - Tao Dai 001; Beiliang Wu; Peiyuan Liu; Naiqi Li; Xue Yuerong; Shu-Tao Xia; Zexuan Zhu (NeurIPS, 2024)

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. - Yaohua Zha; Naiqi Li; Yanzi Wang; Tao Dai 001; Hang Guo; Bin Chen 011; Zhi Wang 001; Zhihao Ouyang; Shu-Tao Xia (NeurIPS, 2024)

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (CoRR, 2024)

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. - Jiarui Yang; Tao Dai 001; 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 001; Jigang Bao; Shu-Tao Xia (CoRR, 2024)

Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. - Naiqi Li; Zhikang Xia; Yiming Li 004; Ercan E. Kuruoglu; Yong Jiang 001; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

Node-Level Graph Regression With Deep Gaussian Process Models. - Naiqi Li; Wenjie Li 008; Yinghua Gao; Yiming Li 004; Jigang Bao; Ercan E. Kuruoglu; Yong Jiang 001; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (AAAI, 2025)

Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. - Jiarui Yang; Tao Dai 001; Yufei Zhu; Naiqi Li; Jinmin Li; Shu-Tao Xia (AAAI, 2025)

DNF: Unconditional 4D Generation with Dictionary-based Neural Fields. - Xinyi Zhang; Naiqi Li; Angela Dai (CVPR, 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 001; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (WWW (Companion Volume), 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 001; 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 001; 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 001; Shutao Xia; Dawei Cheng; Changjun Jiang (CoRR, 2025)

Efficient Differentiable Approximation of Generalized Low-rank Regularization. - Naiqi Li; Yuqiu Xie; Peiyuan Liu; Tao Dai 001; Yong Jiang 001; 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 001; Yong Jiang 001; Shu-Tao Xia (CoRR, 2025)

MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network. - Yujun Huang; Bin Chen 011; Naiqi Li; Baoyi An; Shu-Tao Xia; Yaowei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)