AHNN: An Attention-Based Hybrid Neural Network for Sentence Modeling. - Xiaomin Zhang; Li Huang 002; Hong Qu (NLPCC, 2017)

Bag of meta-words: A novel method to represent document for the sentiment classification. - Mingsheng Fu; Hong Qu; Li Huang 002; Li Lu 001 (Expert Syst. Appl., 2018)

An Intelligent Knowledge Extraction Framework for Recognizing Identification Information From Real-World ID Card Images. - Lin Zuo; Wenyu Chen 001; Hong Qu; Li Huang 002; Zheng Wang 044; Yong Chen (IEEE Access, 2019)

KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. - Rubungo Andre Niyongabo; Hong Qu; Julia Kreutzer; Li Huang 002 (COLING, 2020)

A Weighted GCN with Logical Adjacency Matrix for Relation Extraction. - Li Zhou 010; Tingyu Wang; Hong Qu; Li Huang 002; Yuguo Liu (ECAI, 2020)

Twin-GAN for Neural Machine Translation. - Jiaxu Zhao 002; Li Huang 002; Ruixuan Sun; Liao Bing; Hong Qu (ICAART (2), 2021)

Accelerating Transformer for Neural Machine Translation. - Li Huang 002; Wenyu Chen 001; Hong Qu (ICMLC, 2021)

Improving neural machine translation using gated state network and focal adaptive attention networtk. - Li Huang 002; Wenyu Chen 001; Yuguo Liu; He Zhang; Hong Qu (Neural Comput. Appl., 2021)

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs. - Qiang Gao 003; Xinzhu Zhou; Kunpeng Zhang 001; Li Huang 002; Siyuan Liu 001; Fan Zhou 002 (CoRR, 2022)

Summarization With Self-Aware Context Selecting Mechanism. - Li Huang 002; Wenyu Chen 001; Yuguo Liu; Shuai Hou; Hong Qu (IEEE Trans. Cybern., 2022)

Attention Localness in Shared Encoder-Decoder Model For Text Summarization. - Li Huang 002; Hongmei Wu; Qiang Gao 003; Guisong Liu (ICASSP, 2023)

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. - Qiang Gao 003; Xiaohan Wang; Chaoran Liu; Goce Trajcevski; Li Huang 002; Fan Zhou 002 (IJCAI, 2023)

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction. - Qiang Gao 003; Hongzhu Fu; Yutao Wei; Li Huang 002; Xingmin Liu; Guisong Liu (KSEM (2), 2023)

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning. - Li Huang 002; Kai Liu; Chaoran Liu; Qiang Gao 003; Xiao Zhou; Guisong Liu (KSEM (2), 2023)

Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion. - Qiang Gao 003; Wei Wang 336; Li Huang 002; Xin Yang 012; Tianrui Li 001; Hamido Fujita (Inf. Fusion, 2023)

Multi-granularity stock prediction with sequential three-way decisions. - Xin Yang 012; Metoh Adler Loua; Meijun Wu; Li Huang 002; Qiang Gao 003 (Inf. Sci., 2023)

Human-Level Control Through Directly Trained Deep Spiking Q-Networks. - Guisong Liu; Wenjie Deng; Xiurui Xie; Li Huang 002; Huajin Tang (IEEE Trans. Cybern., 2023)

Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network. - Haoran Li 011; Qiang Gao 003; Hongmei Wu; Li Huang 002 (EMNLP, 2024)

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap. - Qiang Gao 003; Zizheng Wang; Li Huang 002; Goce Trajcevski; Kunpeng Zhang 001; Xueqin Chen 002 (SIGSPATIAL/GIS, 2024)

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator. - Qiang Gao 003; Xiaolong Song; Li Huang 002; Goce Trajcevski; Fan Zhou 002; Xueqin Chen 002 (IJCAI, 2024)

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks. - Qiang Gao 003; Xinzhu Zhou; Li Huang 002; Kunpeng Zhang 001; Siyuan Liu 001; Fan Zhou 002 (Inf. Fusion, 2024)

Enhancing relation extraction using multi-task learning with SDP evidence. - Hailin Wang; Dan Zhang; Guisong Liu; Li Huang 002; Ke Qin (Inf. Sci., 2024)

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion. - Li Huang 002; Pei Li; Qiang Gao 003; Guisong Liu; Zhipeng Luo; Tianrui Li 001 (Neural Networks, 2024)

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting. - Qiang Gao 003; Zizheng Wang; Li Huang 002; Goce Trajcevski; Guisong Liu; Xueqin Chen 002 (AAAI, 2025)

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning. - Li Huang 002; Haowen Liu; Qiang Gao 003; Jiajing Yu; Guisong Liu; Xueqin Chen 002 (AAAI, 2025)

Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval. - Xueqin Chen 002; Xiaoyu Huang; Qiang Gao 003; Li Huang 002; Jiajing Yu; Guisong Liu (ICDE, 2025)

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting. - Li Huang 002; Yanzhe Xie; Qiang Gao 003; Kunpeng Zhang 001; Guisong Liu; Xueqin Chen 002 (KDD (1), 2025)

Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model. - Qiang Gao 003; Chaoran Liu; Li Huang 002; Goce Trajcevski; Qing Guo; Fan Zhou 002 (Knowl. Based Syst., 2025)

Enhancing text-centric fake news detection via external knowledge distillation from LLMs. - Xueqin Chen 002; Xiaoyu Huang; Qiang Gao 003; Li Huang 002; Guisong Liu (Neural Networks, 2025)

Relational Stock Selection via Probabilistic State Space Learning. - Qiang Gao 003; Zhengxiang Liu; Li Huang 002; Kunpeng Zhang 001; Jun Wang 089; Guisong Liu (IEEE Trans. Knowl. Data Eng., 2025)