Personal profile
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):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
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Dive into the research topics where Zhongzhi Luan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Efficient Temporal Graph Network Training via Unified Redundancy Elimination
Wang, Y., Yang, H., Ma, K., Yu, E., Wang, P., You, X., Sun, Q., Xie, C., Luan, Z., Liu, Y. & Qian, D., 22 Mar 2026, ASPLOS 2026 - Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. Association for Computing Machinery , p. 662-678 17 p. (International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS; vol. 2-A).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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ElasGNN: An Elastic Training Framework for Distributed GNN Training
Wang, S., Yang, H., Wang, P., Cao, H., Xu, Y., Wang, X., Luan, Z., Liu, Y. & Qian, D., 28 Jan 2026, Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2026. Hosking, T., Musuvathi, M. & Taura, K. (eds.). Association for Computing Machinery, Inc, p. 551-563 13 p. (Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Evaluating Large-Scale and Lightweight Large Language Models for Traditional Chinese Medicine Exam Questions: A Comparative Study
Li, Y., Huang, S., Qi, J., Lu, Y., Quan, L., Han, D., Li, B., Liu, X. & Luan, Z., Mar 2026, In: Journal of Evidence-Based Medicine. 19, 1, e70118.Research output: Contribution to journal › Article › peer-review
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Exploiting Efficient Mapping and Pipelined Execution for Accelerating SpMV on Tensor Cores
Zhang, K., Yang, H., You, X., Feng, T., Xu, Y., Luan, Z., Liu, Y. & Qian, D., 28 Jan 2026, Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2026. Hosking, T., Musuvathi, M. & Taura, K. (eds.). Association for Computing Machinery, Inc, p. 245-258 14 p. (Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Exploiting Transformer-Based Static Binary Analysis for Identifying Inefficient Locks
Xuan, Z., You, X., Yang, H., Chen, J., Luan, Z., Liu, Y. & Qian, D., 2026, Network and Parallel Computing - 21st IFIP WG 10.3 International Conference, NPC 2025, Proceedings. Wang, X., Ye, B., Jiang, X. & Crespi, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 90-102 13 p. (Lecture Notes in Computer Science; vol. 16305 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review