2025:
A Fast Binary Splitting Approach for Non-Adaptive Learning of Erdős-Rényi Graphs (with Jonathan Scarlett). Submitted.
Finding Decision Tree Splits in Streaming and Massively Parallel Models (with Huy Pham and Hoa T. Vu). Submitted.
An efficient parameterized algorithm for computing quantum channel fidelity via symmetries exploitation (with Yeow Meng Chee and Van Khu Vu). IEEE Transactions on Information Theory.
Constructions of covering sequences and 2D-sequences (with Yeow Meng Chee, Tuvi Etzion, and Van Khu Vu). Designs, Codes and Cryptography.
Constructing Decision Trees from Data Streams (with Huy Pham and Hoa T. Vu). IEEE International Symposium on Information Theory (ISIT 2025).
2024:
On de Bruijn Covering Sequences and Arrays (with Yeow Meng Chee, Tuvi Etzion, and Van Khu Vu). In proceedings of the IEEE International Symposium on Information Theory (ISIT), 2024.
On the Asymptotic Nonnegative Rank of Matrices and its Applications in Information Theory (with Yeow Meng Chee and Quoc Tung Le). In proceedings of the IEEE International Symposium on Information Theory (ISIT), 2024.
Maximum Length RLL Sequences in de Bruijn Graph (with Yeow Meng Chee, Tuvi Etzion, Tien Long Nguyen, Vinh Duc Tran, and Van Khu Vu). Submitted.
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach (with Keke Huang, Wencai Cao, Xiaokui Xiao, and Pietro Lio). Proceedings of the ACM Web Conference (TheWebConf-WWW), 2024.
2023:
Asymptotic Nonnegaitive Rank of Matrices (with Yeow Meng Chee and Quoc Tung Le). Submitted.
Towards Better Bounds for Finding Quasi-Identifiers (with Ryan Hildebrant, Quoc Tung Le and Hoa Vu). In the 42nd ACM Symposium on Principles of Database Systems (PODS) 2023.
Lower Bounds for the Shannon Capacity of Hypergraphs (with Matthias Christandl, Omar Fawzi and Jeroen Zuiddam). Manuscript.
2022:
Symmetric Subrank of Tensors and Applications (with Matthias Christandl, Omar Fawzi and Jeroen Zuiddam). Submitted.
Run length limited de Bruijn sequences for quantum communications (with Yeow Meng Chee, Tien-Long Nguyen, Duc Tu Dao and Van Khu Vu). In proceedings of the IEEE International Symposium on Information Theory (ISIT), 2022.
A hierarchy of efficient bounds on quantum capacities exploiting symmetry: Part II (with Omar Fawzi and Ala Shayeghi). In IEEE Transactions on Information Theory, 2022.
Larger Corner-Free Sets from Combinatorial Degenerations (with Matthias Christandl, Omar Fawzi and Jeroen Zuiddam). In Proceedings of the Innovations in Theoretical Computer Science (ITCS), 2022.
2021:
A hierarchy of efficient bounds on quantum capacities exploiting symmetry (with Omar Fawzi and Ala Shayeghi). In proceedings of the IEEE International Symposium on Information Theory (ISIT), 2021 and Presented at Beyond IID9.
2015-2018:
PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy (with Ning Wang, Yin Yang, Xiaokui Xiao). In Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2018.
A Guided Differential Evolutionary Multi-tasking with Powell Search Method for Solving Multi-Objective Continuous Optimization (with Tuan Nguyen Quoc and Binh Huynh Thi Thanh). In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2018.
A Java library for Constraint-Based Local Search: Application to the master thesis defense timetabling problem (with Pham Quang Dung, Huynh Thanh Trung, Nguyen Thanh Hoang). In Proceedings of the Sixth International Symposium on Information and Communication Technology (SoICT), 2015.