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ORCIDNing Liu 0007
Person information
- affiliation: Northeastern University, Boston, MA, USA
- affiliation: Syracuse University, NY, USA
Other persons with the same name
- Ning Liu — disambiguation page
- Ning Liu 0001 — Microsoft Research Asia, Beijing, China
- Ning Liu 0002
![[0000-0002-1038-5659]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1038-5659")
— Central South University, School of Geosciences and Info-Physics, Changsha, China - Ning Liu 0003 — Nanyang Technological University, School of Physical and Mathematical Sciences, Singapore
- Ning Liu 0004 — Murdoch University, School of Veterinary and Life Sciences, WA, Australia (and 1 more)
- Ning Liu 0005 — Broadcom Corporation, Irvine, USA (and 1 more)
- Ning Liu 0006 — North University of China, School of Instrument and Electronics, Taiyuan, China
- Ning Liu 0008 — Cleversafe, an IBM Company, Chicago, IL, USA (and 2 more)
- Ning Liu 0009 — Stevens Institute of Technology, Department of ECE, Hoboken, NJ, USA
- Ning Liu 0010 — Jiangsu University, Department of Automotive and Traffic Engineering, Zhenjiang, China
- Ning Liu 0011 — Beijing Information Science & Technological University, Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China
- Ning Liu 0012 — National University of Singapore, Department of Mechanical Engineering, Singapore
- Ning Liu 0013 — University of Burgundy - Franche-Comté, France
- Ning Liu 0014 — Shandong University, School of Software, China
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2020 – today
- 2024
[j5]Miao Tang, Ning Liu, Tao Yang, Haining Fang, Qiu Lin, Yujuan Tan, Xianzhang Chen, Duo Liu, Kan Zhong, Ao Ren:
FreePrune: An Automatic Pruning Framework Across Various Granularities Based on Training-Free Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4033-4044 (2024)- [j4]Wenzheng Hu, Zhengping Che, Ning Liu, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11595-11607 (2024) - [c27]Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. AAAI 2024: 11258-11266 - [i30]Yichen Zhu, Minjie Zhu, Ning Liu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model. CoRR abs/2401.02330 (2024) - [i29]Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Qinru Qiu, Jian Tang:
SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. CoRR abs/2401.08957 (2024) - [i28]Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. CoRR abs/2402.00084 (2024) - [i27]Zhiyuan Xu, Kun Wu, Junjie Wen, Jinming Li, Ning Liu, Zhengping Che, Jian Tang:
A Survey on Robotics with Foundation Models: toward Embodied AI. CoRR abs/2402.02385 (2024) - [i26]Minjie Zhu, Yichen Zhu, Xin Liu, Ning Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Zhicai Ou, Feifei Feng, Jian Tang:
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. CoRR abs/2403.06199 (2024) - [i25]Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu:
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR abs/2403.07153 (2024) - [i24]Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang:
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics? CoRR abs/2406.19693 (2024) - [i23]Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Kun Wu, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. CoRR abs/2409.12514 (2024) - [i22]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation. CoRR abs/2409.14411 (2024) - [i21]Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Qinru Qiu, Jian Tang:
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. CoRR abs/2409.18707 (2024) - [i20]Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang:
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching. CoRR abs/2410.23788 (2024) - 2023
- [j3]Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang:
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9847-9858 (2023) - [c26]Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang:
CP3: Channel Pruning Plug-in for Point-Based Networks. CVPR 2023: 5302-5312 - [c25]Yichen Zhu, Qiqi Zhou, Ning Liu, Zhiyuan Xu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector. CVPR 2023: 19723-19733 - [c24]Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang:
CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network. ICRA 2023: 9125-9131 - [i19]Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang:
CP3: Channel Pruning Plug-in for Point-based Networks. CoRR abs/2303.13097 (2023) - [i18]Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang:
CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network. CoRR abs/2303.13182 (2023) - 2022
- [c23]Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding:
An Automatic and Efficient BERT Pruning for Edge AI Systems. ISQED 2022: 1-6 - [c22]Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED 2022: 1-8 - [c21]Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang:
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation. NeurIPS 2022 - [i17]Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding:
An Automatic and Efficient BERT Pruning for Edge AI Systems. CoRR abs/2206.10461 (2022) - 2021
- [c20]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021: 7011-7020 - [c19]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. ISQED 2021: 135-141 - [c18]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021: 12749-12760 - [c17]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS 2021: 20838-20850 - [i16]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? CoRR abs/2102.11068 (2021) - [i15]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. CoRR abs/2106.09166 (2021) - [i14]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR abs/2107.00166 (2021) - [i13]Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. CoRR abs/2110.10921 (2021) - [i12]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR abs/2110.14032 (2021) - 2020
- [c16]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. AAAI 2020: 4876-4883 - [i11]Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang:
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. CoRR abs/2011.02166 (2020)
2010 – 2019
- 2019
- [c15]Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang:
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. FPGA 2019: 33-42 - [c14]Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Caiwen Ding, Nobuyuki Yoshikawa, Yanzhi Wang:
A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ACM Great Lakes Symposium on VLSI 2019: 189-194 - [c13]Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang:
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI 2019: 501-506 - [c12]Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang:
A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ICCD 2019: 429-436 - [c11]Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang:
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. ISCA 2019: 567-578 - [c10]Ruizhe Cai, Xiaolong Ma, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang:
IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ISVLSI 2019: 187-192 - [c9]Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 89-97 - [i10]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. CoRR abs/1907.03141 (2019) - [i9]Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang:
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. CoRR abs/1907.09077 (2019) - [i8]Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang:
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. CoRR abs/1909.13396 (2019) - [i7]Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. CoRR abs/1911.02007 (2019) - 2018
- [j2]Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, Yanzhi Wang:
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. Nano Commun. Networks 16: 81-90 (2018) - [c8]Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang:
VIBNN: Hardware Acceleration of Bayesian Neural Networks. ASPLOS 2018: 476-488 - [c7]Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram:
FFT-based deep learning deployment in embedded systems. DATE 2018: 1045-1050 - [c6]Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang:
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. ACM Great Lakes Symposium on VLSI 2018: 353-358 - [i6]Ning Liu, Ying Liu, Brent Logan, Zhiyuan Xu, Jian Tang, Yanzhi Wang:
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data. CoRR abs/1801.09271 (2018) - [i5]Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang:
VIBNN: Hardware Acceleration of Bayesian Neural Networks. CoRR abs/1802.00822 (2018) - [i4]Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang:
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. CoRR abs/1804.11239 (2018) - 2017
- [j1]Caiwen Ding, Ning Liu, Yanzhi Wang, Ji Li, Soroush Heidari, Jingtong Hu, Yongpan Liu:
Multisource Indoor Energy Harvesting for Nonvolatile Processors. IEEE Des. Test 34(3): 42-49 (2017) - [c5]Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. ICDCS 2017: 372-382 - [c4]Ying Liu, Brent Logan, Ning Liu, Zhiyuan Xu, Jian Tang, Yanzhi Wang:
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data. ICHI 2017: 380-385 - [c3]Ning Liu, Xue Lin, Yanzhi Wang:
Data center power management for regulation service using neural network-based power prediction. ISQED 2017: 367-372 - [c2]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 2017: 395-408 - [i3]Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. CoRR abs/1703.04221 (2017) - [i2]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR abs/1708.08917 (2017) - [i1]Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram:
FFT-Based Deep Learning Deployment in Embedded Systems. CoRR abs/1712.04910 (2017) - 2016
- [c1]Ning Liu, Caiwen Ding, Yanzhi Wang, Jingtong Hu:
Neural Network-based Prediction Algorithms for In-Door Multi-Source Energy Harvesting System for Non-Volatile Processors. ACM Great Lakes Symposium on VLSI 2016: 275-280
Coauthor Index
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