Publications
Journal Papers
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning
Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang,
IEEE Transactions on Multimedia (Core Rank A*, Impact Factor 8.182)
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo, Zijian Wang, Zhuoxiao Chen, Zi Huang, Mahsa Baktashmotlagh
Submission to Transcations on Pattern Analysis and Machine Intelligence (TPAMI) [Preprint] [Code]
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh
IEEE Transaction on Knowledge and Data Engineering (Core Rank A*, Impact Factor 4.935) 2021 [Preprint] [Code]
Inductive Structure Consistent Hashing via Flexible Semantic Calibration
Zheng Zhang, Luyao Liu, Yadan Luo, Zi Huang, Fumin Shen, Heng Tao Shen, Guangming Lu
IEEE Transactions on Neural Networks and Learning Systems (Core Rank A*, Impact Factor 12.179) 2020 [Paper]
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Construction
Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang, Heng Tao Shen
IEEE Transactions on Multimedia (Core Rank A*, Impact Factor 6.051) 2020 [Paper] [Code]
Collaborative Learning for Extremely Low Bit Asymmetric Hashing
Yadan Luo, Yang Li, Fumin Shen, Yang Yang, Peng Cui, Zi Huang
IEEE Transaction on Knowledge and Data Engineering (Core Rank A*, Impact Factor 4.935) 2019 [Paper] [Code]
Deep Reinforcement Learning Enabled Self-learning Control for Energy Efficient Driving
Xuewei Qi, Yadan Luo, Wu Guoyuan, Kanok Boriboonsomsin, Mattew J. Barth
Transportation Research Part C: Emerging Technologies (Impact Factor: 6.077), 2019 [pdf]
Robust Discrete Code Modeling For Supervised Hashing
Yadan Luo, Yang Yang, Fumin Shen, Zi Huang, Pan Zhou, Heng Tao Shen.
Pattern Recognition (Core Rank A*, Impact Factor: 7.196), 2018 [Paper] [Code] (ESI Hot Paper & ESI Highly Cited Paper)
Selected Conference Papers
Point to Rectangle Matching for Image Text Retrieval
Zheng Wang, Zhenwei Gao, Xing Xu, Yadan Luo, Yang Yang, Hengtao Shen
ACM Multimedia (CCF A, Core Rank A*), 2022
Learning to Diversify from Single Domain
Zijian Wang, Yadan Luo, Zi Huang, Ruihong Qiu, Mahsa Baktashmotlagh
International Conference on Computer Vision (ICCV) (CCF A, Core Rank A*), 2021 [Paper] [Code]
Semantics Disentangling for Generalized Zero-Shot Learning
Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang
International Conference on Computer Vision (ICCV) (CCF A, Core Rank A*), 2021 [Paper] [Code]
Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang
ACM Multimedia (CCF A, Core Rank A*), 2021 [Paper]
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang:
International Joint Conference on Artificial Intelligence (IJCAI) (CCF A, Core Rank A*), 2021 [Paper]
Adversarial Bipartite Graph Learning for Video Domain Adaptation (Oral)
Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh
ACM Multimedia (CCF A, Core Rank A*), 2020 [Paper] [Code] [Video]
Prototype-Matching Graph Network for Heterogeneous Domain Adaptation
Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh
ACM Multimedia (CCF A, Core Rank A*), 2020 [Paper] [Code] [Video]
Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo*, Zijian Wang*, Zi Huang, Mahsa Baktashmotlagh
International Conference on Machine Learning (ICML) (CCF A, Core Rank A*), 2020 [Paper] [Code] [Video]
Human Consensus-Oriented Image Captioning
Ziwei Wang, Zi Huang, Yadan Luo
International Joint Conference on Artificial Intelligence (IJCAI) (CCF A, Core Rank A*), 2020 [Paper]
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang
AAAI Conference on Artificial Intelligence (AAAI) (CCF A, Core Rank A*), 2020 [Paper] [Code] [Video]
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang
WACV (Core Rank A), 2019 [Paper]
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation (Oral)
Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Jingjing Li, Yang Yang
ACM Multimedia (CCF A, Core Rank A*), 2019 [Paper]
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation
Yadan Luo, Ziwei Wang, Yang Yang, Zi Huang, Cong Zhao
CIKM International Conference on Information and Knowledge Management (Core Rank A), 2018 [Paper] [Slides]
Look Deeper See Richer: Depth-aware Image Paragraph Captioning
Yadan Luo*, Ziwei Wang* (Co-first Author), Yang Li, Zi Huang, Hongzhi Yin
ACM Multimedia (CCF A, Core Rank A*), 2018, [Paper]
Deep Reinforcement Learning-based Vehicle Energy Efficiency Autonomous Learning System
Xuewei Qi, Yadan Luo, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth.
IEEE Intelligent Vehicle Conference (Core Rank B), 2017 [Paper] [Code]
Zero-shot Hashing via Transferring Supervised Knowledge (Oral)
Yang Yang, Yadan Luo, Weilun Chen, Fumin Shen, Jie Shao, Heng Tao Shen
ACM Multimedia (CCF A, Core Rank A*), 2016 [Paper] [Code]
Workshop and Short Papers
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure
Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang
ACM SIGIR Short (CCF A, Core Rank A*), 2019
Collaborative Generative Adversarial Network for Recommendation Systems
Yuzhen Tong, Yadan Luo, Zheng Zhang, Peng Cui, Shazia Sadiq
IEEE International Conference on Data Engineering (ICDE) Workshop (CCF A, Core Rank A*), 2019 [Paper]
Context-Aware Attention-Based Data Augmentation for POI Recommendation
Yang Li, Yadan Luo, Zheng Zhang, Peng Cui, Shazia Sadiq
IEEE International Conference on Data Engineering (ICDE) Workshop (CCF A, Core Rank A*), 2019 [Paper]