Deep Discrete Hashing with Self-supervised Pairwise Labels. - Jingkuan Song; Tao He 007; Hangbo Fan; Lianli Gao (ECML/PKDD (1), 2017)

Deep Region Hashing for Efficient Large-scale Instance Search from Images. - Jingkuan Song; Tao He 007; Lianli Gao; Xing Xu 001; Heng Tao Shen (CoRR, 2017)

Binary Generative Adversarial Networks for Image Retrieval. - Jingkuan Song; Tao He 007; Lianli Gao; Xing Xu 001; Alan Hanjalic; Heng Tao Shen (AAAI, 2018)

Deep Region Hashing for Generic Instance Search from Images. - Jingkuan Song; Tao He 007; Lianli Gao; Xing Xu 001; Heng Tao Shen (AAAI, 2018)

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks. - Tao He 007; Yuan-Fang Li; Lianli Gao; Dongxiang Zhang; Jingkuan Song (IJCAI, 2019)

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network. - Tao He 007; Yuan-Fang Li; Lianli Gao; Dongxiang Zhang; Jingkuan Song (CoRR, 2019)

SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation. - Tao He 007; Lianli Gao; Jingkuan Song; Xin Wang 019; Kejie Huang; Yuanfang Li (AAAI, 2020)

Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. - Tao He 007; Lianli Gao; Jingkuan Song; Jianfei Cai 001; Yuan-Fang Li (IJCAI, 2020)

Unified Binary Generative Adversarial Network for Image Retrieval and Compression. - Jingkuan Song; Tao He 007; Lianli Gao; Xing Xu 001; Alan Hanjalic; Heng Tao Shen (Int. J. Comput. Vis., 2020)

Exam paper generation based on performance prediction of student group. - Zhengyang Wu 001; Tao He 007; Chenjie Mao; Changqin Huang (Inf. Sci., 2020)

Social participation of the elderly in China: The roles of conventional media, digital access and social media engagement. - Tao He 007; Changqin Huang; Ming Li 065; Yuqiong Zhou; Shihua Li (Telematics Informatics, 2020)

Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK. - Zhenzhen He; Changqin Huang; Tao He 007; Kai Bo (ICBL, 2021)

Exploiting Scene Graphs for Human-Object Interaction Detection. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (ICCV, 2021)

Semantic Compositional Learning for Low-shot Scene Graph Generation. - Tao He 007; Lianli Gao; Jingkuan Song; Jianfei Cai 001; Yuan-Fang Li (CoRR, 2021)

Semi-supervised Network Embedding with Differentiable Deep Quantisation. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (CoRR, 2021)

Unsupervised Domain-adaptive Hash for Networks. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (CoRR, 2021)

Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (ECCV (28), 2022)

Investigating students' emotional self-efficacy profiles and their relations to self-regulation, motivation, and academic performance in online learning contexts: A person-centered approach. - Jianhui Yu; Changqin Huang; Tao He 007; Xizhe Wang; Linjie Zhang (Educ. Inf. Technol., 2022)

Towards Unbiased Scene Graph Generation: Techniques and Applications. - Tao He 007 (2022)

Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (CoRR, 2023)

State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (IEEE Trans. Image Process., 2023)

Toward a Unified Transformer-Based Framework for Scene Graph Generation and Human-Object Interaction Detection. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (IEEE Trans. Image Process., 2023)

Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (Inf. Sci., 2023)

Semisupervised Network Embedding With Differentiable Deep Quantization. - Tao He 007; Lianli Gao; Jingkuan Song; Yuan-Fang Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. - Muquan Li; Dongyang Zhang 001; Tao He 007; Xiurui Xie; Yuan-Fang Li; Ke Qin (ACM Multimedia, 2024)

Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries. - Zhenhao Yang; Xin Liu; Deqiang Ouyang; Guiduo Duan; Dongyang Zhang 001; Tao He 007; Yuan-Fang Li (ACM Multimedia, 2024)

Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning. - Tao He 007; Tongtong Wu; Dongyang Zhang 001; Guiduo Duan; Ke Qin; Yuan-Fang Li (CoRR, 2024)

MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality. - Ruiting Dai; Yuqiao Tan; Lisi Mo; Tao He 007; Ke Qin; Shuang Liang 002 (CoRR, 2024)

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition. - Wen Yin; Yong Wang; Guiduo Duan; Dongyang Zhang 001; Xin Hu; Yuan-Fang Li; Tao He 007 (CVPR, 2025)

KMG-LL: Knowledge-enhanced Multimodal Graph for Dialogue Generation. - Yuezhou Dong; Tao He 007; Qian Dong; Ke Qin (ICASSP, 2025)

Unbiased Multimodal Audio-to-Intent Recognition. - Qian Dong; Yuezhou Dong; Ke Qin; Guiduo Duan; Tao He 007 (ICASSP, 2025)

MBCQ: Mixed-bias compensation quantization for extremely low-bit post-training quantization. - Zherui Fan; Ke Qin; Xiao Wang 055; Dongyang Zhang 001; Tao He 007 (ICSIM, 2025)

RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities. - Ruiting Dai; Yuqiao Tan; Lisi Mo; Tao He 007; Ke Qin; Shuang Liang 002 (ICMR, 2025)

Fine-grained Block Pruning with Tiny Sets for Vision Transformers. - Yilin Wang; Qiang Dong; Dongyang Zhang 001; Xin Hu; Tao He 007; Aiguo Chen (ICMR, 2025)

Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering. - Rufai Yusuf Zakari; Jim Wilson Owusu; Ke Qin; Tao He 007; Guangchun Luo (Big Data Min. Anal., 2025)

Identifying students' metacognition patterns by their needs for cognitive closure in human-GenAI collaboration. - Zhongmei Han; Ruyi Ying; Changqin Huang; Chin-Chung Tsai; Xinghua Wang; Tao He 007 (Comput. Educ., 2025)

How does social support detected automatically in discussion forums relate to online learning burnout? The moderating role of students' self-regulated learning. - Changqin Huang; Yaxin Tu; Qiyun Wang; Mingxi Li; Tao He 007; Di Zhang (Comput. Educ., 2025)

VQA and Visual Reasoning: An overview of approaches, datasets, and future direction. - Rufai Yusuf Zakari; Jim Wilson Owusu; Ke Qin; Hailin Wang; Zaharaddeen Karami Lawal; Tao He 007 (Neurocomputing, 2025)

Customising a Three-Stage Fade-Out Scaffolding for Collaborative Programming Learning: Effects on Programming Achievement, Self-Efficacy and Programming Behaviour. - Yin-rong Zhang; Zhongmei Han; Tao He 007; Changqin Huang; Fan Jiang; Gang Yang; Xue-mei Wu (J. Comput. Assist. Learn., 2025)

A unified cross-source context enhancement model for multi-source fake news detection. - Ruiting Dai; Haoran Meng; Zhengdao Yuan; Lisi Mo; Wenwei Zhu; Tao He 007 (Knowl. Based Syst., 2025)

CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution. - Dongyang Zhang 001; Shuang Liang 002; Tao He 007; Jie Shao 001; Ke Qin (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning. - Xin Hu; Ke Qin; Guiduo Duan; Ming Li 065; Yuan-Fang Li; Tao He 007 (CoRR, 2025)