Mr. Quan La

Mr. Quan La

PhD Candidate at the University of Sydney

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2026

  1. La Van, Q., Quoc, T. T., Van Duc, C., Tuan, M. N. D., Van, S. N., Thi, H. N., & Thanh, B. H. T. (2026). ALSB: A Problem-Aware Hybrid Optimization Framework for k-Coverage and k-Connectivity in Wireless Sensor Networks. Knowledge-Based Systems, 115595.
  2. Van Thieu, N., & Van Quan, L. (2026). Artificial Gorilla Troops Optimizer. In Encyclopedia of Engineering Optimization and Heuristics (pp. 1-9). Singapore: Springer Nature Singapore.
  3. La, Q. V., Huang, J., Le, H. N., Tran, P., Nguyen, T. A., Vo, P. L., … & Tran, N. H. (2026). FORCE: Federated Orthogonality-aware low-Rank adaptation for Communication-Efficient fine-tuning. IEEE Networking Letters.
  4. Tran, P., Liu, T. H., Le, L. T., Nguyen, T. A., La, V. Q., Yu, E., … & Tran, N. H. (2026, May). GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference. In IEEE INFOCOM 2026-IEEE Conference on Computer Communications (pp. 1-10). IEEE.
  5. Van Thieu, N., Van Son, N., Nguyen, N. H., Van Quan, L., & Hanh, N. T. (2026). Performance analysis of the grey wolf optimizer and its variants in global search optimization. In Grey Wolf Optimizer (pp. 165-194). Morgan Kaufmann.