| Compression of Generative Pre-trained Language Models via Quantization C Tao, L Hou, W Zhang, L Shang, X Jiang, Q Liu, P Luo, N Wong ACL 2022, 2022 | 91 | 2022 |
| Dynamic and static context-aware lstm for multi-agent motion prediction C Tao, Q Jiang, L Duan, P Luo European Conference on Computer Vision, 547-563, 2020 | 66 | 2020 |
| Upop: Unified and progressive pruning for compressing vision-language transformers D Shi, C Tao, Y Jin, Z Yang, C Yuan, J Wang International Conference on Machine Learning, 2023 | 33 | 2023 |
| Mr-net: Exploiting mutual relation for visual relationship detection Y Bin, Y Yang, C Tao, Z Huang, J Li, HT Shen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8110-8117, 2019 | 29 | 2019 |
| Structured pruning for efficient generative pre-trained language models C Tao, L Hou, H Bai, J Wei, X Jiang, Q Liu, P Luo, N Wong Findings of the Association for Computational Linguistics: ACL 2023, 10880-10895, 2023 | 28 | 2023 |
| Scaling laws with vocabulary: Larger models deserve larger vocabularies C Tao, Q Liu, L Dou, N Muennighoff, Z Wan, P Luo, M Lin, N Wong arXiv preprint arXiv:2407.13623, 2024 | 18 | 2024 |
| LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling D Chen, C Tao, L Hou, L Shang, X Jiang, Q Liu Conference on Empirical Methods in Natural Language Processing (EMNLP-2022), 2022 | 16 | 2022 |
| Litegt: Efficient and lightweight graph transformers C Chen, C Tao, N Wong Proceedings of the 30th ACM International Conference on Information …, 2021 | 16 | 2021 |
| Meit: Multi-modal electrocardiogram instruction tuning on large language models for report generation Z Wan, C Liu, X Wang, C Tao, H Shen, Z Peng, J Fu, R Arcucci, H Yao, ... arXiv preprint arXiv:2403.04945, 2024 | 15 | 2024 |
| Rethinking kullback-leibler divergence in knowledge distillation for large language models T Wu, C Tao, J Wang, R Yang, Z Zhao, N Wong arXiv preprint arXiv:2404.02657, 2024 | 14 | 2024 |
| Minimax entropy network: Learning category-invariant features for domain adaptation C Tao, F Lv, L Duan, M Wu arXiv preprint arXiv:1904.09601, 2019 | 14 | 2019 |
| Crossget: Cross-guided ensemble of tokens for accelerating vision-language transformers D Shi, C Tao, A Rao, Z Yang, C Yuan, J Wang arXiv preprint arXiv:2305.17455, 2023 | 11 | 2023 |
| FAT: Frequency-aware transformation for bridging full-precision and low-precision deep representations C Tao, R Lin, Q Chen, Z Zhang, P Luo, N Wong IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2640-2654, 2022 | 11* | 2022 |
| RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis Y Mu, J Chen, Q Zhang, S Chen, Q Yu, C Ge, R Chen, Z Liang, M Hu, ... arXiv preprint arXiv:2402.16117, 2024 | 10 | 2024 |
| Frequency Regularization for Improving Adversarial Robustness B Huang, C Tao, R Lin, N Wong AAAI 2023 workshop, 2022 | 10* | 2022 |
| Dybit: Dynamic bit-precision numbers for efficient quantized neural network inference J Zhou, J Wu, Y Gao, Y Ding, C Tao, B Li, F Tu, KT Cheng, HKH So, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 9 | 2023 |
| D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models Z Wan, X Wu, Y Zhang, Y Xin, C Tao, Z Zhu, X Wang, S Luo, J Xiong, ... arXiv preprint arXiv:2406.13035, 2024 | 7 | 2024 |
| Source-free domain adaptation with unrestricted source hypothesis J He, L Wu, C Tao, F Lv Pattern Recognition 149, 110246, 2024 | 7 | 2024 |
| Batmann: A binarized-all-through memory-augmented neural network for efficient in-memory computing Y Ren, R Lin, J Ran, C Liu, C Tao, Z Wang, C Li, N Wong 2021 IEEE 14th International Conference on ASIC (ASICON), 1-4, 2021 | 2 | 2021 |
| Autoregressive Models in Vision: A Survey J Xiong, G Liu, L Huang, C Wu, T Wu, Y Mu, Y Yao, H Shen, Z Wan, ... arXiv preprint arXiv:2411.05902, 2024 | 1 | 2024 |
Ngai Wong (Sam)Associate Professor of Electrical and Electronic Engineering, The University of Hong KongVerified email at eee.hku.hk
