| A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang 2017 IEEE 37th international conference on distributed computing systems …, 2017 | 385 | 2017 |
| CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 374 | 2017 |
| AutoCompress: An automatic dnn structured pruning framework for ultra-high compression rates N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye Proceedings of the AAAI Conference on Artificial Intelligence, 2020, 2019 | 278 | 2019 |
| TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation J Wen, Y Zhu, J Li, M Zhu, K Wu, Z Xu, N Liu, R Cheng, C Shen, Y Peng, ... arXiv preprint arXiv:2409.12514, 2024 | 219 | 2024 |
| Deep reinforcement learning for dynamic treatment regimes on medical registry data Y Liu, B Logan, N Liu, Z Xu, J Tang, Y Wang 2017 IEEE international conference on healthcare informatics (ICHI), 380-385, 2017 | 182 | 2017 |
| Llava-phi: Efficient multi-modal assistant with small language model Y Zhu, M Zhu, N Liu, Z Xu, Y Peng Proceedings of the 1st International Workshop on Efficient Multimedia …, 2024 | 164 | 2024 |
| VIBNN: Hardware acceleration of Bayesian neural networks R Cai, A Ren, N Liu, C Ding, L Wang, X Qian, M Pedram, Y Wang ACM SIGPLAN Notices 53 (2), 476-488, 2018 | 146 | 2018 |
| REQ-YOLO: A resource-aware, efficient quantization framework for object detection on FPGAs C Ding, S Wang, N Liu, K Xu, Y Wang, Y Liang proceedings of the 2019 ACM/SIGDA international symposium on field …, 2019 | 141 | 2019 |
| Robomind: Benchmark on multi-embodiment intelligence normative data for robot manipulation K Wu, C Hou, J Liu, Z Che, X Ju, Z Yang, M Li, Y Zhao, Z Xu, G Yang, ... arXiv preprint arXiv:2412.13877, 2024 | 93 | 2024 |
| Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? X Ma, G Yuan, X Shen, T Chen, X Chen, X Chen, N Liu, M Qin, S Liu, ... Advances in Neural Information Processing Systems (NeurIPS), 2021 | 87 | 2021 |
| A survey on robotics with foundation models: toward embodied ai Z Xu, K Wu, J Wen, J Li, N Liu, Z Che, J Tang arXiv preprint arXiv:2402.02385, 2024 | 83 | 2024 |
| MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ... Advances in Neural Information Processing Systems (NeurIPS), 2021 | 75 | 2021 |
| FFT-based deep learning deployment in embedded systems S Lin, N Liu, M Nazemi, H Li, C Ding, Y Wang, M Pedram 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018 | 71 | 2018 |
| Chatvla: Unified multimodal understanding and robot control with vision-language-action model Z Zhou, Y Zhu, M Zhu, J Wen, N Liu, Z Xu, W Meng, Y Peng, C Shen, ... Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 69 | 2025 |
| A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology R Cai, A Ren, O Chen, N Liu, C Ding, X Qian, J Han, W Luo, N Yoshikawa, ... Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 61 | 2019 |
| Dais: Automatic channel pruning via differentiable annealing indicator search Y Guan, N Liu, P Zhao, Z Che, K Bian, Y Wang, J Tang IEEE Transactions on Neural Networks and Learning Systems 34 (12), 9847-9858, 2022 | 57 | 2022 |
| Scalekd: Distilling scale-aware knowledge in small object detector Y Zhu, Q Zhou, N Liu, Z Xu, Z Ou, X Mou, J Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 48 | 2023 |
| Learning the dynamic treatment regimes from medical registry data through deep Q-network N Liu, Y Liu, B Logan, Z Xu, J Tang, Y Wang Scientific reports 9 (1), 1495, 2019 | 46 | 2019 |
| CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization W Hu, Z Che, N Liu, M Li, J Tang, C Zhang, J Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 43 | 2023 |
| Improving dnn fault tolerance using weight pruning and differential crossbar mapping for reram-based edge ai G Yuan, Z Liao, X Ma, Y Cai, Z Kong, X Shen, J Fu, Z Li, C Zhang, H Peng, ... 2021 22nd International Symposium on Quality Electronic Design (ISQED), 135-141, 2021 | 42 | 2021 |
Yanzhi WangNortheastern UniversityVerified email at northeastern.edu
