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Yifu Ding
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j5]Haotong Qin
, Xudong Ma
, Yifu Ding
, Xiaoyang Li
, Yang Zhang, Zejun Ma, Jiakai Wang
, Jie Luo
, Xianglong Liu
:
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10674-10686 (2024) - [c21]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) 2024: 8719-8730 - [c20]Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu:
Compressing Large Language Models by Joint Sparsification and Quantization. ICML 2024 - [i18]Yifu Ding, Serena Patel, Dharik Mallapragada, Robert James Stoner:
Repurposing Coal Power Plants into Thermal Energy Storage for Supporting Zero-carbon Data Centers. CoRR abs/2402.09675 (2024) - [i17]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR abs/2402.11960 (2024) - [i16]Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR abs/2405.03144 (2024) - 2023
- [j4]Haotong Qin
, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu:
Distribution-Sensitive Information Retention for Accurate Binary Neural Network. Int. J. Comput. Vis. 131(1): 26-47 (2023) - [j3]Haotong Qin
, Yifu Ding
, Xiangguo Zhang
, Jiakai Wang
, Xianglong Liu
, Jiwen Lu
:
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11689-11706 (2023) - [j2]Zhilei Li, Jun Li
, Yuqing Ma
, Rui Wang
, Zhi-Ping Shi
, Yifu Ding
, Xianglong Liu
:
Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5174-5185 (2023) - [c19]Yifu Ding
, Siyuan Wang
, Benjamin Hobbs
:
Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game. e-Energy 2023: 324-332 - [c18]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. ICML 2023: 28351-28388 - [c17]Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu:
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS 2023 - [i15]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. CoRR abs/2301.11233 (2023) - [i14]Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu:
Towards Accurate Post-Training Quantization for Vision Transformer. CoRR abs/2303.14341 (2023) - [i13]Yifu Ding, Benjamin Hobbs:
Joint Chance-constrained Game for Coordinating Microgrids in Energy and Reserve Markets: A Bayesian Optimization Approach. CoRR abs/2306.12644 (2023) - [i12]Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu:
OHQ: On-chip Hardware-aware Quantization. CoRR abs/2309.01945 (2023) - 2022
- [j1]Yifu Ding
, Thomas Morstyn
, Malcolm D. McCulloch
:
Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty. IEEE Trans. Smart Grid 13(3): 2467-2478 (2022) - [c16]Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin:
An Empirical study of Data-Free Quantization's Tuning Robustness. CVPR Workshops 2022: 171-177 - [c15]Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu:
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network. CVPR 2022: 21157-21167 - [c14]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. ICLR 2022 - [c13]Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li
, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu:
BiFSMN: Binary Neural Network for Keyword Spotting. IJCAI 2022: 4346-4352 - [c12]Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu
, Xiaolin Wei, Xianglong Liu:
Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia 2022: 5380-5388 - [i11]Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu:
BiFSMN: Binary Neural Network for Keyword Spotting. CoRR abs/2202.06483 (2022) - [i10]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. CoRR abs/2203.06390 (2022) - [i9]Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu:
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. CoRR abs/2211.06987 (2022) - 2021
- [c11]Yifu Ding, Malcolm D. McCulloch:
Distributionally robust optimization for networked microgrids considering contingencies and renewable uncertainty. CDC 2021: 2330-2335 - [c10]Xiangguo Zhang, Haotong Qin
, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
:
Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR 2021: 15658-15667 - [c9]Yifu Ding, Malcolm McCulloch:
Additive Gaussian process prediction for electrical loads compared with deep learning models. e-Energy 2021: 499-506 - [c8]Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su:
BiPointNet: Binary Neural Network for Point Clouds. ICLR 2021 - [c7]Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
:
Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. ICME 2021: 1-6 - [c6]Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo
, Renshuai Tao, Haotong Qin:
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia 2021: 21-27 - [i8]Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu:
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. CoRR abs/2103.00809 (2021) - [i7]Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu:
Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR abs/2103.01049 (2021) - [i6]Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu:
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision. CoRR abs/2103.05985 (2021) - [i5]Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu:
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR abs/2109.00212 (2021) - [i4]Yifu Ding, Thomas Morstyn, Malcolm D. McCulloch:
Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty. CoRR abs/2109.11887 (2021) - [i3]Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu:
Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR abs/2109.12338 (2021) - 2020
- [c5]Yifu Ding, Avinash Vijay, Derek Neal, Malcolm McCulloch:
Predictive Control of Rural Microgrids with Temperature-dependent Battery Degradation Cost. ISGT-Europe 2020: 509-513 - [c4]Samarth Gupta, Yuan Xue
, Yifu Ding, Daniel Vanselow, Maksim Yakovlev, Damian B. van Rossum, Sharon X. Huang, Keith C. Cheng:
Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170T - [i2]Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su:
BiPointNet: Binary Neural Network for Point Clouds. CoRR abs/2010.05501 (2020)
2010 – 2019
- 2019
- [c3]Ruru Wang, Yifu Ding, Weimin Wang, Lei Chen, Yongle Wu, Yuanan Liu:
A Novel Channel Emulation Method in Multi-Probe Anechoic Chamber Setups. ICCE 2019: 1-5 - [c2]Yifu Ding, Roberto Moreira, Dagoberto Cedillos:
Assessment of the Value of Frequency Response Times in Power Systems. ISGT Europe 2019: 1-5 - [i1]Yifu Ding, Roberto Moreira, Dagoberto Cedillos:
Assessment of the Value of Frequency Response Times in Power Systems. CoRR abs/1907.07736 (2019) - 2016
- [c1]Yifu Ding
, Thomas E. Tavolara, Keith Cheng:
Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification. Medical Imaging: Digital Pathology 2016: 97911A
Coauthor Index
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last updated on 2024-09-07 01:02 CEST by the dblp team
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