Yifu Ding

According to our database, Yifu Ding authored at least 35 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance.

Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning.

Yifu Ding, Jansen Wong, Serena Patel, Dharik Mallapragada, Guiyan Zang, Robert Stoner

CoRR, 2024

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms.

Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu

CoRR, 2024

Repurposing Coal Power Plants into Thermal Energy Storage for Supporting Zero-carbon Data Centers.

Yifu Ding, Serena Patel, Dharik Mallapragada, Robert James Stoner

CoRR, 2024

Compressing Large Language Models by Joint Sparsification and Quantization.

Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PTQ4SAM: Post-Training Quantization for Segment Anything.

Chengtao Lv, Hong Chen, Jinyang Guo, Jinyang Guo, Jinyang Guo, Yifu Ding, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector.

Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DB-LLM: Accurate Dual-Binarization for Efficient LLMs.

Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition.

Zhilei Li, Jun Li, Yuqing Ma, Rui Wang, Zhi-Ping Shi, Yifu Ding, Xianglong Liu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Distribution-Sensitive Information Retention for Accurate Binary Neural Network.

Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu

Int. J. Comput. Vis., 2023

OHQ: On-chip Hardware-aware Quantization.

Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu

CoRR, 2023

Joint Chance-constrained Game for Coordinating Microgrids in Energy and Reserve Markets: A Bayesian Optimization Approach.

Yifu Ding, Benjamin Hobbs

CoRR, 2023

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiBench: Benchmarking and Analyzing Network Binarization.

Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu

Proceedings of the International Conference on Machine Learning, 2023

Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game.

Yifu Ding, Siyuan Wang, Benjamin Hobbs

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty.

Yifu Ding, Thomas Morstyn, Malcolm D. McCulloch

IEEE Trans. Smart Grid, 2022

Towards Accurate Post-Training Quantization for Vision Transformer.

Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

BiFSMN: Binary Neural Network for Keyword Spotting.

Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

BiBERT: Accurate Fully Binarized BERT.

Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network.

Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Empirical study of Data-Free Quantization's Tuning Robustness.

Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Diverse Sample Generation: Pushing the Limit of Data-free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu

CoRR, 2021

Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images.

Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu

CoRR, 2021

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.

Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision.

Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

BiPointNet: Binary Neural Network for Point Clouds.

Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su

Proceedings of the 9th International Conference on Learning Representations, 2021

Additive Gaussian process prediction for electrical loads compared with deep learning models.

Yifu Ding, Malcolm McCulloch

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Diversifying Sample Generation for Accurate Data-Free Quantization.

Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distributionally robust optimization for networked microgrids considering contingencies and renewable uncertainty.

Yifu Ding, Malcolm D. McCulloch

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods.

Samarth Gupta, Yuan Xue, Yifu Ding, Daniel Vanselow, Maksim Yakovlev, Damian B. van Rossum, Sharon X. Huang, Keith C. Cheng

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Predictive Control of Rural Microgrids with Temperature-dependent Battery Degradation Cost.

Yifu Ding, Avinash Vijay, Derek Neal, Malcolm McCulloch

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

2019

Assessment of the Value of Frequency Response Times in Power Systems.

Yifu Ding, Roberto Moreira, Dagoberto Cedillos

Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

A Novel Channel Emulation Method in Multi-Probe Anechoic Chamber Setups.

Ruru Wang, Yifu Ding, Weimin Wang, Lei Chen, Yongle Wu, Yuanan Liu

Proceedings of the IEEE International Conference on Consumer Electronics, 2019

2016

Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification.

Yifu Ding, Thomas E. Tavolara, Keith Cheng

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016