Projects per year
Personal profile
Research interests
Cloud Computing
Computer Networks
Distributed Systems
Machine Learning
Teaching
CAN302 Technologies for e-Commerce
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, The University of Hong Kong
2018 → 2023
Master, University of New Brunswick
2012 → 2015
Bachelor, Nanjing University of Posts and Telecommunications
2008 → 2012
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 2 Active
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Generic and Efficient Communication Scheduling for Distributed Machine Learning Systems
1/07/24 → 30/06/27
Project: Internal Research Project
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AnnoLLM: Making large language models to be better crowdsourced annotators
He, X., Lin, Z., Gong, Y., Jin, A-L., Zhang, H., Lin, C., Jiao, J., Yiu, S-M., Duan, N. & Chen, W., 2024, The North American Chapter of the Association for Computational Linguistics.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Improving Factual Error Correction by Learning to Inject Factual Errors
He, X., Zhang, Q., Jin, A-L., Ma, J., Yuan, Y. & Yiu, S-M., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 16, p. 18197-18205 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
US-Byte: An Efficient Communication Framework for Scheduling Unequal-Sized Tensor Blocks in Distributed Deep Learning
Gao, Y., Hu, B., Mashhadi, M. B., Jin, A-L., Xiao, P. & Wu, C., 1 Jan 2024, In: IEEE Transactions on Parallel and Distributed Systems. 35, 1, p. 123-139 17 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
WBSP: Addressing stragglers in distributed machine learning with worker-busy synchronous parallel
Yang, D., Hu, B., Liu, A., Jin, A-L., Yeung, K. L. & You, Y., 2024, In: Parallel Computing.Research output: Contribution to journal › Article › peer-review
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CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion
He, X., Gong, Y., Jin, A-L., Zhang, H., Dong, A., Jiao, J., Yiu, S-M. & Duan, N., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 10531-10541 11 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review