| Learning from 2d: Contrastive pixel-to-point knowledge transfer for 3d pretraining YC Liu, YK Huang, HY Chiang, HT Su, ZY Liu, CT Chen, CY Tseng, ... arXiv preprint arXiv:2104.04687, 2021 | 120 | 2021 |
| A unified point-based framework for 3d segmentation HY Chiang, YL Lin, YC Liu, WH Hsu 2019 International Conference on 3D Vision (3DV), 155-163, 2019 | 92 | 2019 |
| Cross-domain image-based 3D shape retrieval by view sequence learning T Lee, YL Lin, HY Chiang, MW Chiu, W Hsu, P Huang 2018 international conference on 3D vision (3DV), 258-266, 2018 | 38 | 2018 |
| MobileTL: On-device transfer learning with inverted residual blocks HY Chiang, N Frumkin, F Liang, D Marculescu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7166-7174, 2023 | 24 | 2023 |
| Efficient low-rank backpropagation for vision transformer adaptation Y Yang, HY Chiang, G Li, D Marculescu, R Marculescu Advances in Neural Information Processing Systems 36, 14725-14736, 2023 | 20 | 2023 |
| FOX-NAS: Fast, on-device and explainable neural architecture search CH Liu, YS Han, YY Sung, Y Lee, HY Chiang, KC Wu Proceedings of the IEEE/CVF International Conference on Computer Vision, 789-797, 2021 | 19 | 2021 |
| SHREC’17: RGB-D to CAD retrieval with ObjectNN dataset BS Hua, QT Truong, MK Tran, QH Pham, A Kanezaki, T Lee, HY Chiang, ... Proc. Eurograph. Workshop 3D Object Retrieval, 25-32, 2017 | 19 | 2017 |
| Quamba: A post-training quantization recipe for selective state space models HY Chiang, CC Chang, N Frumkin, KC Wu, D Marculescu arXiv preprint arXiv:2410.13229, 2024 | 16 | 2024 |
| Netizen-style commenting on fashion photos: Dataset and diversity measures WH Lin, KT Chen, HY Chiang, W Hsu Companion Proceedings of the The Web Conference 2018, 395-402, 2018 | 12 | 2018 |
| Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models HY Chiang, CC Chang, N Frumkin, KC Wu, MS Abdelfattah, D Marculescu arXiv preprint arXiv:2503.22879, 2025 | 3 | 2025 |
| UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs HY Chiang, CC Chang, YC Lu, CY Lin, KC Wu, MS Abdelfattah, ... arXiv preprint arXiv:2512.03383, 2025 | 1 | 2025 |
| Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images D Menn, F Liang, HY Chiang, D Marculescu 4th Workshop on Image/Video/Audio Quality in Computer Vision and Generative AI, 2024 | 1 | 2024 |
| SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search HY Chiang, D Marculescu 5th Workshop on practical ML for limited/low resource settings, 2024 | 1 | 2024 |
| SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping YC Lu, SF Yu, HH Weng, PS Wang, YF Hu, L Hung-Chun, HY Chiang, ... arXiv preprint arXiv:2512.13494, 2025 | | 2025 |
| ELANA: A Simple Energy and Latency Analyzer for LLMs HY Chiang, B Wang, D Marculescu arXiv preprint arXiv:2512.09946, 2025 | | 2025 |
| QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models TY Chi, HY Chiang, D Marculescu, KC Wu arXiv preprint arXiv:2507.09514, 2025 | | 2025 |
| V" Mean" ba: Visual State Space Models only need 1 hidden dimension TY Chi, HY Chiang, CC Chang, NC Huang, KC Wu Workshop on ML for Systems at NeurIPS 2024, 2024 | | 2024 |
| Cache and Reuse: Rethinking the Efficiency of On-device Transfer Learning Y Yang, HY Chiang, G Li, D Marculescu, R Marculescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Metadata-Augmented Neural Networks for Cross-Location Solar Irradiation Prediction from Satellite Images KY Lee, HF Huang, HY Chiang, HC Lee, WH Hsu, WC Chen 5th Workshop on Mining and Learning from Time Series, 2019 | | 2019 |
Winston HsuProfessor at CS Dept., National Taiwan Univ. | co-founder at thingnario | ex-CTO/VP at MobileDriveVerified email at ntu.edu.tw
