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ORCIDTruong Son Hy
Truong Son-Hy – Truong-Son Hy – Hy Truong Son
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2020 – today
- 2025
[j9]Thanh V. T. Tran
, Nhat Khang Ngo, Viet Thanh Duy Nguyen, Truong Son Hy:
LatentDE: latent-based directed evolution for protein sequence design. Mach. Learn. Sci. Technol. 6(1): 15070 (2025)- [j8]Viet Anh Nguyen, Nhat Khang Ngo, Truong-Son Hy:
Range-aware graph positional encoding via high-order pretraining: theory and practice. Mach. Learn. Sci. Technol. 6(2): 45043 (2025) - [j7]Tam Trinh, Anh Dao, Thi Hong Nhung Hy, Truong Son Hy:
VietMedKG: Knowledge Graph and Benchmark for Traditional Vietnamese Medicine. ACM Trans. Asian Low Resour. Lang. Inf. Process. 24(7): 69:1-69:17 (2025) - [j6]Thanh V. T. Tran, Truong Son Hy:
Protein Design by Directed Evolution Guided by Large Language Models. IEEE Trans. Evol. Comput. 29(2): 418-428 (2025) - [j5]Quang Phuoc Minh Pham, Nguyen Tiet Nguyen Khoi, Lan Chi Ngo, Do Tho Truong, Dezhen Song, Truong-Son Hy:
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding. Trans. Mach. Learn. Res. 2025 (2025) - [c18]Co Tran, Quoc-Bao Tran, Hy Truong Son, Thang N. Dinh:
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression. AAAI 2025: 11353-11361 - [c17]Nghia-Huynh Nguyen-Hieu, Ngoc Son Nguyen, Huynh Nguyen Dang, Thieu Vo, Truong-Son Hy, Van Nguyen:
OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching. ACL (1) 2025: 21500-21517 - [c16]Tan-Hanh Pham, Trong-Duong Bui, Quang Minh Luu, Tan-Huong Pham, Chris Ngo, Truong-Son Hy:
SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging. CVPR Workshops 2025: 2984-2994 - [c15]Van Cuong Tran, Thanh V. T. Tran, Van Nguyen, Truong Son Hy:
Effective Context Modeling Framework for Emotion Recognition in Conversations. ICASSP 2025: 1-5 - [c14]Thanh V. T. Tran, Nhat Khang Ngo, Viet Anh Nguyen, Truong Son Hy:
GROOT: Effective Design of Biological Sequences with Limited Experimental Data. KDD (1) 2025: 1385-1396 - [c13]Da Yan, Truong-Son Hy, Jake Y. Chen, Mohammed J. Zaki:
24th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025). KDD (2) 2025: 6304-6305 - [c12]Khai Le-Duc, David Thulke, Hung-Phong Tran, Long Vo-Dang, Khai-Nguyen Nguyen, Truong-Son Hy, Ralf Schlüter:
Medical Spoken Named Entity Recognition. NAACL (Industry Track) 2025: 724-783 - [i54]Van Quang Nguyen, Quoc Chuong Nguyen, Thu Huong Dang, Truong-Son Hy:
Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems. CoRR abs/2501.00852 (2025) - [i53]Tien Dang, Viet Thanh Duy Nguyen, Minh Tuan Le, Truong-Son Hy:
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs. CoRR abs/2501.01644 (2025) - [i52]Minh Ngoc Nguyen, Khai Le-Duc, Tan-Hanh Pham, Trang Nguyen, Quang Minh Luu, Ba Kien Tran, Truong-Son Hy, Viktor Dremin, Sergei Sokolovsky, Edik Rafailov:
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors. CoRR abs/2502.00973 (2025) - [i51]Tuan-Anh Yang, Truong-Son Hy, Phuong D. Dao:
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification. CoRR abs/2502.16289 (2025) - [i50]Viet Thanh Duy Nguyen, Truong-Son Hy:
Advances in Protein Representation Learning: Methods, Applications, and Future Directions. CoRR abs/2503.16659 (2025) - [i49]Tan-Hanh Pham, Chris Ngo, Trong-Duong Bui, Quang Minh Luu, Tan-Huong Pham, Truong-Son Hy:
SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging. CoRR abs/2504.10642 (2025) - [i48]Quy-Anh Dang, Chris Ngo, Truong-Son Hy:
RainbowPlus: Enhancing Adversarial Prompt Generation via Evolutionary Quality-Diversity Search. CoRR abs/2504.15047 (2025) - [i47]Tung D. Vu, Chung Hoang, Truong Son Hy:
Multimodal graph representation learning for website generation based on visual sketch. CoRR abs/2504.18729 (2025) - [i46]Tien Dang, Truong-Son Hy:
EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks. CoRR abs/2505.05650 (2025) - [i45]Luu Tung Hai, Thinh D. Le, Zhicheng Ding, Qing Tian, Truong-Son Hy:
Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing. CoRR abs/2505.08101 (2025) - [i44]Tan-Hanh Pham, Phu-Vinh Nguyen, Dang The Hung, Trong-Duong Bui, Vu Nguyen Thanh, Chris Ngo, Tri Quang Truong, Truong-Son Hy:
IQBench: How "Smart" Are Vision-Language Models? A Study with Human IQ Tests. CoRR abs/2505.12000 (2025) - [i43]Hieu-Nghia Huynh-Nguyen, Ngoc Son Nguyen, Huynh Nguyen Dang, Thieu Vo, Truong-Son Hy, Van Nguyen:
OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching. CoRR abs/2505.12800 (2025) - [i42]Nguyen Phu Vinh, Anh Chung Hoang, Chris Ngo, Truong-Son Hy:
Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles. CoRR abs/2506.08173 (2025) - [i41]Tam Trinh, Manh Nguyen, Truong-Son Hy:
Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval. CoRR abs/2506.17878 (2025) - [i40]Phu-Vinh Nguyen, Tan-Hanh Pham, Chris Ngo, Truong Son Hy:
A Novel Framework for Automated Explain Vision Model Using Vision-Language Models. CoRR abs/2508.20227 (2025) - [i39]Phuc Pham, Viet Thanh Duy Nguyen, Truong-Son Hy:
LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability. CoRR abs/2509.03425 (2025) - [i38]Ngoc Son Nguyen, Hieu-Nghia Huynh-Nguyen, Thanh V. T. Tran, Truong-Son Hy, Van Nguyen:
DiFlow-TTS: Discrete Flow Matching with Factorized Speech Tokens for Low-Latency Zero-Shot Text-To-Speech. CoRR abs/2509.09631 (2025) - [i37]Kien Le Trung, Truong-Son Hy:
DiffPlace: A Conditional Diffusion Framework for Simultaneous VLSI Placement Beyond Sequential Paradigms. CoRR abs/2510.15897 (2025) - 2024
- [j4]Nhat Khang Ngo, Truong Son Hy:
Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation. Mach. Learn. Sci. Technol. 5(2): 25021 (2024) - [j3]Thuan Nguyen Anh Trang, Nhat Khang Ngo, Hugo Sonnery, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy:
Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions. Trans. Mach. Learn. Res. 2024 (2024) - [c11]Thuan Anh Trang, Nhat Khang Ngo, Daniel Levy, Ngoc Thieu Vo, Siamak Ravanbakhsh, Truong Son Hy:
E(3)-Equivariant Mesh Neural Networks. AISTATS 2024: 748-756 - [c10]Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang:
DE-HNN: An effective neural model for Circuit Netlist representation. AISTATS 2024: 4258-4266 - [c9]Minh Nguyen, Nghi Bui, Truong Son Hy, Long Tran-Thanh, Tien Nguyen:
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations. EACL (Findings) 2024: 2355-2367 - [c8]Khai Le-Duc, Khai-Nguyen Nguyen, Long Vo-Dang, Truong-Son Hy:
Real-time Speech Summarization for Medical Conversations. INTERSPEECH 2024 - [i36]Thuan N. A. Trang, Nhat Khang Ngo, Daniel Levy, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy:
E(3)-Equivariant Mesh Neural Networks. CoRR abs/2402.04821 (2024) - [i35]Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang:
DE-HNN: An effective neural model for Circuit Netlist representation. CoRR abs/2404.00477 (2024) - [i34]Truong Son Hy, Thieu Khang, Risi Kondor:
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. CoRR abs/2406.00469 (2024) - [i33]Khai Le-Duc, Khai-Nguyen Nguyen, Long Vo-Dang, Truong-Son Hy:
Real-time Speech Summarization for Medical Conversations. CoRR abs/2406.15888 (2024) - [i32]Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo, Truong Do, Truong Son Hy:
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding. CoRR abs/2407.00609 (2024) - [i31]Khai Le-Duc, Ryan Zhang, Ngoc Son Nguyen, Tan-Hanh Pham, Anh Dao, Ba Hung Ngo, Anh Totti Nguyen, Truong-Son Hy:
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task. CoRR abs/2407.12064 (2024) - [i30]Khai Le-Duc, Khai-Nguyen Nguyen, Bach Phan Tat, Duy Le, Jerry Ngo, Long Vo-Dang, Anh Totti Nguyen, Truong-Son Hy:
Sentiment Reasoning for Healthcare. CoRR abs/2407.21054 (2024) - [i29]Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham, Truong-Son Hy:
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech. CoRR abs/2408.04174 (2024) - [i28]Minh Lenhat, Viet Anh Nguyen, Khoa Nguyen, Duong Duc Hieu, Dao Huu Hung, Truong Son Hy:
SAMSA: Efficient Transformer for Many Data Modalities. CoRR abs/2408.05391 (2024) - [i27]Viet Anh Nguyen, Minh Lenhat, Khoa Nguyen, Duong Duc Hieu, Dao Huu Hung, Truong Son Hy:
Sampling Foundational Transformer: A Theoretical Perspective. CoRR abs/2408.05822 (2024) - [i26]Khai Le-Duc, Phuc Phan, Tan-Hanh Pham, Bach Phan Tat, Minh-Huong Ngo, Truong-Son Hy:
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder. CoRR abs/2409.14074 (2024) - [i25]Viet Anh Nguyen, Nhat Khang Ngo, Truong Son Hy:
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice. CoRR abs/2409.19117 (2024) - [i24]Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo, Dezhen Song, Truong Do, Truong Son Hy:
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding. CoRR abs/2411.10509 (2024) - [i23]Thanh V. T. Tran, Nhat Khang Ngo, Viet Anh Nguyen, Truong Son Hy:
GROOT: Effective Design of Biological Sequences with Limited Experimental Data. CoRR abs/2411.11265 (2024) - [i22]Van Cuong Tran, Thanh V. T. Tran, Van Nguyen, Truong Son Hy:
Effective Context Modeling Framework for Emotion Recognition in Conversations. CoRR abs/2412.16444 (2024) - [i21]Tan-Hanh Pham, Hoang-Nam Le, Phu-Vinh Nguyen, Chris Ngo, Truong-Son Hy:
SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization. CoRR abs/2412.16771 (2024) - [i20]Co Tran, Quoc-Bao Tran, Hy Truong Son, Thang N. Dinh:
Scalable Quantum-Inspired Optimization through Dynamic Qubit Compression. CoRR abs/2412.18571 (2024) - 2023
- [j2]Truong Son Hy, Risi Kondor:
Multiresolution equivariant graph variational autoencoder. Mach. Learn. Sci. Technol. 4(1): 15031 (2023) - [j1]Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang:
Global Contrastive Learning for Long-Tailed Classification. Trans. Mach. Learn. Res. 2023 (2023) - [c7]Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu:
ViDeBERTa: A powerful pre-trained language model for Vietnamese. EACL (Findings) 2023: 1041-1048 - [c6]Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang:
On the Connection Between MPNN and Graph Transformer. ICML 2023: 3408-3430 - [c5]Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son Hy, Risi Kondor:
Fast Temporal Wavelet Graph Neural Networks. NeurReps 2023: 35-54 - [i19]Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu:
ViDeBERTa: A powerful pre-trained language model for Vietnamese. CoRR abs/2301.10439 (2023) - [i18]Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang:
On the Connection Between MPNN and Graph Transformer. CoRR abs/2301.11956 (2023) - [i17]Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor:
Fast Temporal Wavelet Graph Neural Networks. CoRR abs/2302.08643 (2023) - [i16]Nhat Khang Ngo, Truong Son Hy, Risi Kondor:
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. CoRR abs/2302.08647 (2023) - [i15]Nhat Khang Ngo, Truong Son-Hy, Risi Kondor:
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs. CoRR abs/2302.08680 (2023) - [i14]Viet Bach Nguyen, Truong Son-Hy, Long Tran-Thanh, Nhung Nghiem:
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. CoRR abs/2305.07731 (2023) - [i13]Duc Minh Nguyen, Minh Chau Vu, Tuan Anh Nguyen, Tri Huynh, Nguyen Tri Nguyen, Truong Son Hy:
Neural Multigrid Memory For Computational Fluid Dynamics. CoRR abs/2306.12545 (2023) - [i12]Ngoc-Dung Do, Truong Son Hy, Duy Khuong Nguyen:
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting. CoRR abs/2306.17090 (2023) - [i11]Nhat Khang Ngo, Truong Son Hy:
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning. CoRR abs/2309.16685 (2023) - [i10]Khanh-Tung Tran, Truong Son Hy, Lili Jiang, Xuan-Son Vu:
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data. CoRR abs/2310.14549 (2023) - [i9]Cong Dao Tran, Truong Son Hy:
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs. CoRR abs/2310.15516 (2023) - [i8]Cong Dao Tran, Thong Bach, Truong Son Hy:
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions. CoRR abs/2310.15543 (2023) - 2022
- [c4]Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. Healthcare AI and COVID-19 Workshop 2022: 21-32 - [c3]Truong Son Hy, Risi Kondor:
Multiresolution Matrix Factorization and Wavelet Networks on Graphs. TAG-ML 2022: 172-182 - [i7]Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR abs/2205.14831 (2022) - [i6]Nhat Khang Ngo, Truong Son-Hy, Risi Kondor:
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs. CoRR abs/2209.09941 (2022) - 2021
- [i5]Truong Son-Hy, Risi Kondor:
Multiresolution Graph Variational Autoencoder. CoRR abs/2106.00967 (2021) - [i4]Truong Son-Hy, Risi Kondor:
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. CoRR abs/2111.01940 (2021) - 2020
- [i3]Erik Henning Thiede, Truong-Son Hy, Risi Kondor:
The general theory of permutation equivarant neural networks and higher order graph variational encoders. CoRR abs/2004.03990 (2020)
2010 – 2019
- 2019
- [c2]Brandon M. Anderson, Truong-Son Hy, Risi Kondor:
Cormorant: Covariant Molecular Neural Networks. NeurIPS 2019: 14510-14519 - [i2]Brandon M. Anderson, Truong-Son Hy, Risi Kondor:
Cormorant: Covariant Molecular Neural Networks. CoRR abs/1906.04015 (2019) - 2018
- [c1]Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi:
Covariant Compositional Networks For Learning Graphs. ICLR (Workshop) 2018 - [i1]Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi:
Covariant Compositional Networks For Learning Graphs. CoRR abs/1801.02144 (2018)
Coauthor Index
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