A Deep Knowledge Tracking Model Integrating Difficulty Factors. - Zhuoqing Song; Sirui Huang; Ya Zhou (CONF-CDS, 2021)

Multi-model Stacking Ensemble Learning for Student Achievement Prediction. - Tao Fang; Sirui Huang; Ya Zhou; Huibing Zhang (PAAP, 2021)

GES Model : Combining Pearson Correlation CoefficientAnalysis with Multilayer Perceptron. - Chunyu Sui; Sirui Huang; Xinrui Li; Yinghang Song; Yunpeng Zan (ICBICC, 2022)

GES Model : Combining Pearson Correlation Coefficient Analysis with Multilayer Perceptron. - Chunyu Sui; Xinrui Li; Yinghang Song; Sirui Huang; Yunpeng Zan (CoRR, 2022)

Time-Series Neural Network: A High-Accuracy Time-Series Forecasting Method Based on Kernel Filter and Time Attention. - Lexin Zhang; Ruihan Wang; Zhuoyuan Li; Jiaxun Li; Yichen Ge; Shiyun Wa; Sirui Huang; Chunli Lv (Inf., 2023)

Counterfactual Debasing for Multi-behavior Recommendations. - Sirui Huang; Qian Li 003; Xiangmeng Wang; Dianer Yu; Guandong Xu; Qing Li 001 (DASFAA (3), 2024)

A Perturbation-Based Privacy Leakage Defense Method for Federal Learning. - Changsong Yang; Sirui Huang; Yong Ding 005; Hai Liang; Siyuan Jia; Xinyong Peng (DSC, 2024)

Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities. - Zhonghao Li; Xuming Hu; Aiwei Liu; Kening Zheng; Sirui Huang; Hui Xiong 001 (EMNLP (Findings), 2024)

Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities. - Zhonghao Li; Xuming Hu; Aiwei Liu; Kening Zheng; Sirui Huang; Hui Xiong 001 (CoRR, 2024)

Reasoning Factual Knowledge in Structured Data with Large Language Models. - Sirui Huang; Yanggan Gu; Xuming Hu; Zhonghao Li; Qing Li 001; Guandong Xu (CoRR, 2024)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning. - Haoran Yang; Xiangyu Zhao 001; Sirui Huang; Qing Li 001; Guandong Xu (CoRR, 2024)

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. - Xin Zou 001; Yizhou Wang; Yibo Yan; Sirui Huang; Kening Zheng; Junkai Chen; Chang Tang; Xuming Hu (CoRR, 2024)

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey. - Yunkai Dang; Kaichen Huang; Jiahao Huo; Yibo Yan; Sirui Huang; Dongrui Liu; Mengxi Gao; Jie Zhang 012; Chen Qian 003; Kun Wang 042; Yong Liu 018; Jing Shao; et al. (CoRR, 2024)

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. - Yanggan Gu; Junzhuo Li; Sirui Huang; Xin Zou 001; Zhenghua Li; Xuming Hu (ACL (Findings), 2025)

StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models. - Sirui Huang; Yanggan Gu; Zhonghao Li; Xuming Hu; Qing Li 001; Guandong Xu (ACL (Findings), 2025)

Photonic Transposed Convolution Accelerator Based on Micro-combs. - Chengzhuo Xia; Yifu Xu; Shifan Chen; Sirui Huang; Zhihui Liu; Yunping Bai; Sai T. Chu; Xiaotian Zhu; Brent E. Little; Roberto Morandotti; David J. Moss; Xingyuan Xu; et al. (OFC, 2025)

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. - Sirui Huang; Hanqian Li; Yanggan Gu; Xuming Hu; Qing Li 001; Guandong Xu (SIGIR, 2025)

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. - Sirui Huang; Hanqian Li; Yanggan Gu; Xuming Hu; Qing Li 001; Guandong Xu (CoRR, 2025)

Decentralized Federated Learning for Wireless Traffic Prediction. - Haochang Zhang; Sirui Huang; Xiaotian Zhou; Chuanting Zhang; Junrong Jia (IEEE Commun. Lett., 2025)

Simplifying Graph Kernels for Efficient. - Lin Wang; Shijie Wang; Sirui Huang; Qing Li (CoRR, 2025)