Yang LIU, Dr

Research Output

Research output per year 2015 2016 2017 2018 2020 2024 2025

• 29 Conference proceeding
• 26 Journal article
• 1 Review article

Research output per year

Research output per year

Search results

• 2024

  LLaCE: Locally Linear Contrastive Embedding

  Liu, R., Liu, Y. & Liu, J., 13 May 2024, WWW '24: Companion Proceedings of the ACM on Web Conference 2024. 1st ed. Association for Computing Machinery (ACM), p. 517-520 4 p. (WWW 2024 Companion - Companion Proceedings of the ACM Web Conference).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Deep learning 100%
  • Factorization 55%
  • Sampling 39%
• 2023

  Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction

  Liu, M., Liu, Y. & Liu, J., 21 Oct 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 4084-4088 5 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Deep Learning 100%
  • Epidemiology 95%
  • Infectious Diseases 79%
  • Learning Process 59%
  • Prediction 59%
  1 Citation (Scopus)
• 2020

  Mesoscale Anisotropically-Connected Learning

  Tan, Q., Liu, Y. & Liu, J., 17 Sept 2020, Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Helic, D., Stettinger, M., Felfernig, A., Leitner, G. & Ras, Z. W. (eds.). 1st ed. Cham: Springer, p. 171-180 10 p. (Lecture Notes in Computer Science; vol. 12117)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Learning 100%
  • Recurrent Neural Networks 80%
  • Recurrent neural networks 76%
  • Prediction 62%
  • Target 40%

• Metric-Guided Multi-task Learning

  Ren, J., Liu, Y. & Liu, J., 17 Sept 2020, Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Helic, D., Stettinger, M., Felfernig, A., Leitner, G. & Ras, Z. W. (eds.). 1st ed. Cham: Springer, p. 21-31 11 p. (Lecture Notes in Computer Science; vol. 12117)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Multi-task Learning 100%
  • Multi-task learning 78%
  • Metric 38%
  • Learning 22%
  • Distance Metric 22%
• 2019

  Ewgan: Entropy-based wasserstein gan for imbalanced learning

  Ren, J., LIU, Y. & LIU, J., 17 Jul 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 10011-10012 2 p. (Proceedings of the AAAI Conference on Artificial Intelligence).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Entropy 100%
  • Labels 60%
  20 Citations (Scopus)

• Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery

  LIU, Y., Gu, Z., Ko, T. H. & LIU, J., 10 Jan 2019, Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018. IEEE, p. 310-317 8 p. 8609608. (Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Marketing 100%
  • Personnel 78%
  • Decomposition 74%
  • Costs 39%
  • Experiments 36%
  4 Citations (Scopus)
• 2018

  Analyzing human behavior in subspace: Dimensionality reduction + classification

  Liu, Y., Gu, Z. & Ko, T. H., Oct 2018, Working Notes Proceedings of the MediaEval 2018 Workshop. Larson, M., Arora, P., Demarty, C-H., Riegler, M., Bischke, B., Dellandrea, E., Lux, M., Porter, A. & Jones, G. J. F. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 2283).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Dimensionality reduction 100%
  • Labels 77%
  • Classifiers 64%
  1 Citation (Scopus)

• Bayesian network structure learning: The two-step clustering-based algorithm

  Zhang, Y., Liu, J. & Liu, Y., 8 Feb 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 8183-8184 2 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 32, no. 1).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Bayesian networks 100%
  • Learning algorithms 40%
  1 Citation (Scopus)

• Joint learning of phenotypes and diagnosis-medication correspondence via hidden interaction tensor factorization

  Yin, K., Cheung, K. W., Liu, Y., Fung, B. C. M. & Poon, J., Jul 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 3627-3633 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Factorization 100%
  • Tensors 99%
  • Maximum likelihood estimation 16%
  7 Citations (Scopus)

• Learning memorability preserving subspace for predicting media memorability

  Liu, Y., Gu, Z. & Ko, T. H., Oct 2018, Working Notes Proceedings of the MediaEval 2018 Workshop. Larson, M., Arora, P., Demarty, C-H., Riegler, M., Bischke, B., Dellandrea, E., Lux, M., Porter, A. & Jones, G. J. F. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 2283).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

• Learning perceptual embeddings with two related tasks for joint predictions of media interestingness and emotions

  LIU, Y., Gu, Z., Ko, T. H. & Hua, K. A., 5 Jun 2018, ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval. Association for Computing Machinery (ACM), p. 420-427 8 p. (ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Feature extraction 100%
  6 Citations (Scopus)

• Motif-aware diffusion network inference

  Tan, Q., LIU, Y. & LIU, J., 2018, Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Webb, G. I., Phung, D., Ganji, M., Rashidi, L., Tseng, V. S. & Ho, B. (eds.). Springer Verlag, p. 638-650 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10939 LNAI).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Profile 100%
  • Social Networks 94%
  • Learning 70%
  • Vertex of a graph 66%
  • Information Diffusion 64%
  3 Citations (Scopus)

• Public health surveillance with incomplete data - Spatio-temporal imputation for inferring infectious disease dynamics

  Tan, Q., Liu, J., Shi, B., Liu, Y. & Zhou, X. N., 24 Jul 2018, Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. IEEE, p. 255-264 10 p. 8419369. (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Public Health Surveillance 100%
  • Public health 81%
  • Communicable Diseases 59%
  • Disease control 20%
  • Epidemics 17%
  2 Citations (Scopus)

• Sparse multi-label bilinear embedding on stiefel manifolds

  Liu, Y., Dong, G. & Gu, Z., 7 Oct 2018, Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G. A. & Raś, Z. W. (eds.). 1st ed. Cham: Springer, p. 203-213 11 p. (Lecture Notes in Computer Science; vol. 11177)(Lecture Notes in Artificial Intelligence)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Stiefel Manifold 100%
  • Dimensionality Reduction 94%
  • Dimensionality reduction 63%
  • Labels 61%
  • Tensor 44%

• Towards learning emotional subspace

  Ko, T. H., Gu, Z., He, T. & Liu, Y., Oct 2018, Working Notes Proceedings of the MediaEval 2018 Workshop. Larson, M., Arora, P., Demarty, C-H., Riegler, M., Bischke, B., Dellandrea, E., Lux, M., Porter, A. & Jones, G. J. F. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 2283).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Labels 100%
  • Support vector machines 94%

• Weighted discriminant embedding: Discriminant subspace learning for imbalanced medical data classification

  Ko, T. H., Gu, Z. & Liu, Y., Oct 2018, Working Notes Proceedings of the MediaEval 2018 Workshop. Larson, M., Arora, P., Demarty, C-H., Riegler, M., Bischke, B., Dellandrea, E., Lux, M., Porter, A. & Jones, G. J. F. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 2283).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Costs 100%
  2 Citations (Scopus)

• Who is the Mr. Right for your brand? - Discovering brand key assets via multi-modal asset-aware projection

  Liu, Y., Ko, T. H. & Gu, Z., 27 Jun 2018, 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. Association for Computing Machinery (ACM), p. 1113-1116 4 p. (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Feature extraction 100%
  • Clothes 69%
  • Marketing 62%
  • Experiments 23%
  2 Citations (Scopus)
• 2017

  Brand key asset discovery via cluster-wise biased discriminant projection

  Liu, Y., Gu, Z., Ko, T. H. & Liu, J., 23 Aug 2017, Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017. Association for Computing Machinery (ACM), p. 284-290 7 p. (Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Marketing 100%
  • Experiments 36%
  3 Citations (Scopus)

• HKBU at MediaEval 2017 Emotional impact of movies task

  Liu, Y., Gu, Z. & Ko, T. H., Sept 2017, Working Notes Proceedings of the MediaEval 2017 Workshop, co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017). Gravier, G., Bischke, B., Demarty, C-H., Zaharieva, M., Riegler, M., Dellandrea, E., Bogdanov, D., Sutcliffe, R., Jones, G. J. F. & Larson, M. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 1984).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Dimensionality reduction 100%
  • Embeddings (Algorithms) 55%
  • Principal component analysis 43%
  1 Citation (Scopus)

• HKBU at mediaeval 2017 medico: Medical multimedia task

  Liu, Y., Gu, Z. & Cheung, W. K. W., Sept 2017, Working Notes Proceedings of the MediaEval 2017 Workshop, co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017). Gravier, G., Bischke, B., Demarty, C-H., Zaharieva, M., Riegler, M., Dellandrea, E., Bogdanov, D., Sutcliffe, R., Jones, G. J. F. & Larson, M. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 1984).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • Dimensionality reduction 100%
  • Support vector machines 73%
  2 Citations (Scopus)

  27 Downloads (Pure)

• Learning Music Emotions via Quantum Convolutional Neural Network

  Chen, G., Liu, Y., Cao, J., Zhong, S., Liu, Y., Hou, Y. & Zhang, P., 2017, Brain Informatics - International Conference, BI 2017, Proceedings. Zeng, Y., Xu, B., Martone, M., He, Y., Peng, H., Luo, Q. & Kotaleski, J. H. (eds.). Springer Verlag, p. 49-58 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10654 LNAI).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Emotion 100%
  • Music 93%
  • Neural Networks 68%
  • Convolutional neural networks 65%
  • Learning 65%
  5 Citations (Scopus)

• Multi-view manifold learning for media interestingness prediction

  LIU, Y., Gu, Z., CHEUNG, Y. M. & Hua, K. A., 6 Jun 2017, ICMR 2017 - Proceedings of the 2017 ACM International Conference on Multimedia Retrieval. Association for Computing Machinery (ACM), p. 308-314 7 p. (ICMR 2017 - Proceedings of the 2017 ACM International Conference on Multimedia Retrieval).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Feature extraction 100%
  • Decomposition 93%
  • Geometry 78%
  • Experiments 46%
  14 Citations (Scopus)

• Predicting media interestingness via biased discriminant embedding and supervised manifold regression

  Liu, Y., Gu, Z. & Ko, T. H., Sept 2017, Working Notes Proceedings of the MediaEval 2017 Workshop, co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017). Gravier, G., Bischke, B., Demarty, C-H., Zaharieva, M., Riegler, M., Dellandrea, E., Bogdanov, D., Sutcliffe, R., Jones, G. J. F. & Larson, M. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 1984).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Labels 100%
  • Embeddings (Algorithms) 70%
  • Dimensionality reduction 64%
  4 Citations (Scopus)

• Scalable group audio-based authentication scheme for IoT devices

  Gu, Z. L. & Liu, Y., 17 Jan 2017, Proceedings - 12th International Conference on Computational Intelligence and Security, CIS 2016. IEEE, p. 277-281 5 p. 7820461. (Proceedings - 12th International Conference on Computational Intelligence and Security, CIS 2016).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Internet of Things 100%
  • Authentication 75%
  • Internet of things 46%
  • Peer to Peer 9%
  • Scalability 7%
  10 Citations (Scopus)
• 2016

  Learning music emotion primitives via supervised dynamic clustering

  Liu, Y., Zhang, X., Chen, G., Zhang, K. & Liu, Y., 1 Oct 2016, MM 2016 - Proceedings of the 2016 ACM Multimedia Conference. Association for Computing Machinery (ACM), p. 222-226 5 p. (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Dynamic programming 100%

• Mining emotional features of movies

  Liu, Y., Gu, Z., Zhang, Y. & Liu, Y., 22 Nov 2016, Working Notes Proceedings of the MediaEval 2016 Workshop. Gravier, G., Demarty, C-H., Bredin, H., Ionescu, B., Boididou, C., Dellandrea, E., Choi, J., Riegler, M., Sutcliffe, R., Szoke, I., Jones, G. J. F. & Larson, M. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 1739).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Embeddings (Algorithms) 100%
  • Dimensionality reduction 90%
  • Neural networks 50%
  5 Citations (Scopus)

• Quality preserved data summarization for fast hierarchical clustering

  Zhang, Y., CHEUNG, Y. M. & LIU, Y., 31 Oct 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. IEEE, p. 4139-4146 8 p. 7727739. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Hierarchical clustering 100%
  • Seed 88%
  • Experiments 10%
  5 Citations (Scopus)

• Supervised manifold learning for media interestingness prediction

  Liu, Y., Gu, Z. & Cheung, Y. M., Oct 2016, Working Notes Proceedings of the MediaEval 2016 Workshop. Gravier, G., Demarty, C-H., Bredin, H., Ionescu, B., Boididou, C., Dellandrea, E., Choi, J., Riegler, M., Sutcliffe, R., Szoke, I., Jones, G. J. F. & Larson, M. (eds.). CEUR-WS, 3 p. (CEUR Workshop Proceedings; vol. 1739).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Dimensionality reduction 100%
  • Labels 38%
  • Classifiers 32%
  5 Citations (Scopus)
• 2015

  What makes the stego image undetectable?

  Wu, S., Liu, Y., Zhong, S. & Liu, Y., 19 Aug 2015, ICIMCS 2015 - Proceedings of the 7th International Conference on Internet Multimedia Computing and Service. Jain, R., Jiang, S., Smith, J., Sang, J., Li, G., Zhang, T. & Wang, S. (eds.). Association for Computing Machinery (ACM), p. 28-33 6 p. (ACM International Conference Proceeding Series; vol. 2015-August).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Steganography 100%
  • Fisher information matrix 40%
  • Embeddings (Algorithms) 33%
  • Statistical methods 23%
  • Experiments 9%
  3 Citations (Scopus)