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 (Digital Pathology, 2016)

A Novel Channel Emulation Method in Multi-Probe Anechoic Chamber Setups. - Ruru Wang; Yifu Ding; Weimin Wang 008; Lei Chen; Yongle Wu; Yuanan Liu (ICCE, 2019)

Assessment of the Value of Frequency Response Times in Power Systems. - Yifu Ding; Roberto Moreira; Dagoberto Cedillos (ISGT Europe, 2019)

Predictive Control of Rural Microgrids with Temperature-dependent Battery Degradation Cost. - Yifu Ding; Avinash Vijay; Derek Neal; Malcolm McCulloch (ISGT-Europe, 2020)

Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods. - Samarth Gupta; Yuan Xue 002; Yifu Ding; Daniel Vanselow; Maksim Yakovlev; Damian B. van Rossum; Sharon X. Huang; Keith C. Cheng (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Distributionally robust optimization for networked microgrids considering contingencies and renewable uncertainty. - Yifu Ding; Malcolm D. McCulloch (CDC, 2021)

Diversifying Sample Generation for Accurate Data-Free Quantization. - Xiangguo Zhang; Haotong Qin; Yifu Ding; Ruihao Gong; Qinghua Yan; Renshuai Tao; Yuhang Li 001; Fengwei Yu; Xianglong Liu 001 (CVPR, 2021)

Additive Gaussian process prediction for electrical loads compared with deep learning models. - Yifu Ding; Malcolm McCulloch (e-Energy, 2021)

BiPointNet: Binary Neural Network for Point Clouds. - Haotong Qin; Zhongang Cai; Mingyuan Zhang; Yifu Ding; Haiyu Zhao; Shuai Yi; Xianglong Liu 001; Hao Su (ICLR, 2021)

Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. - Hainan Li; Renshuai Tao; Jun Li 072; Haotong Qin; Yifu Ding; Shuo Wang 008; Xianglong Liu 001 (ICME, 2021)

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. - Zixin Yin; Jiakai Wang; Yifu Ding; Yisong Xiao; Jun Guo 009; Renshuai Tao; Haotong Qin (AdvM @ ACM Multimedia, 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 001 (CoRR, 2021)

Diverse Sample Generation: Pushing the Limit of Data-free Quantization. - Haotong Qin; Yifu Ding; Xiangguo Zhang; Aoyu Li; Jiakai Wang; Xianglong Liu 001; Jiwen Lu (CoRR, 2021)

An Empirical study of Data-Free Quantization's Tuning Robustness. - Hong Chen 014; Yuxuan Wen; Yifu Ding; Zhen Yang; Yufei Guo; Haotong Qin (CVPR Workshops, 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 001; Aishan Liu (CVPR, 2022)

BiBERT: Accurate Fully Binarized BERT. - Haotong Qin; Yifu Ding; Mingyuan Zhang; Qinghua Yan; Aishan Liu; Qingqing Dang; Ziwei Liu 002; Xianglong Liu 001 (ICLR, 2022)

BiFSMN: Binary Neural Network for Keyword Spotting. - Haotong Qin; Xudong Ma; Yifu Ding; Xiaoyang Li; Yang Zhang 088; Yao Tian; Zejun Ma; Jie Luo 004; Xianglong Liu 001 (IJCAI, 2022)

Towards Accurate Post-Training Quantization for Vision Transformer. - Yifu Ding; Haotong Qin; Qinghua Yan; Zhenhua Chai; Junjie Liu; Xiaolin Wei; Xianglong Liu 001 (ACM Multimedia, 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)

Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game. - Yifu Ding; Siyuan Wang; Benjamin Hobbs (e-Energy, 2023)

BiBench: Benchmarking and Analyzing Network Binarization. - Haotong Qin; Mingyuan Zhang; Yifu Ding; Aoyu Li; Zhongang Cai; Ziwei Liu 002; Fisher Yu 001; Xianglong Liu 001 (ICML, 2023)

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. - Haotong Qin; Yulun Zhang 001; Yifu Ding; Yifan Liu 001; Xianglong Liu 001; Martin Danelljan; Fisher Yu 001 (NeurIPS, 2023)

Joint Chance-constrained Game for Coordinating Microgrids in Energy and Reserve Markets: A Bayesian Optimization Approach. - Yifu Ding; Benjamin Hobbs (CoRR, 2023)

OHQ: On-chip Hardware-aware Quantization. - Wei Huang 042; Haotong Qin; Yangdong Liu; Jingzhuo Liang; Yifu Ding; Ying Li; Xianglong Liu 001 (CoRR, 2023)

Distribution-Sensitive Information Retention for Accurate Binary Neural Network. - Haotong Qin; Xiangguo Zhang; Ruihao Gong; Yifu Ding; Yi Xu 013; Xianglong Liu 001 (Int. J. Comput. Vis., 2023)

Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition. - Zhilei Li; Jun Li 072; Yuqing Ma; Rui Wang 024; Zhi-Ping Shi 002; Yifu Ding; Xianglong Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. - Haotong Qin; Yifu Ding; Xiangguo Zhang; Jiakai Wang; Xianglong Liu 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs. - Hong Chen 014; Chengtao Lv; Liang Ding 006; Haotong Qin; Xiabin Zhou; Yifu Ding; Xuebo Liu 002; Min Zhang 005; Jinyang Guo; Xianglong Liu 001; Dacheng Tao (ACL (Findings), 2024)

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. - Yifu Ding; Weilun Feng; Chuyan Chen; Jinyang Guo; Xianglong Liu 001 (CVPR, 2024)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 004; Jinyang Guo; Yifu Ding; Xianglong Liu 001 (CVPR, 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 001 (ICML, 2024)

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. - Ge Yang; Changyi He; Jinyang Guo; Jianyu Wu; Yifu Ding; Aishan Liu; Haotong Qin; Pengliang Ji; Xianglong Liu 001 (NeurIPS, 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)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 014; Jinyang Guo; Yifu Ding; Xianglong Liu 001 (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 001 (CoRR, 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)

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. - Haotong Qin; Xudong Ma; Yifu Ding; Xiaoyang Li; Yang Zhang 088; Zejun Ma; Jiakai Wang; Jie Luo 004; Xianglong Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic Parallel Tree Search for Efficient LLM Reasoning. - Yifu Ding; Wentao Jiang; Shunyu Liu 001; Yongcheng Jing; Jinyang Guo; Yingjie Wang; Jing Zhang; Zengmao Wang; Ziwei Liu 002; Bo Du 001; Xianglong Liu 001; Dacheng Tao (ACL (1), 2025)

Dynamic Parallel Tree Search for Efficient LLM Reasoning. - Yifu Ding; Wentao Jiang; Shunyu Liu 001; Yongcheng Jing; Jinyang Guo; Yingjie Wang; Jing Zhang 037; Zengmao Wang; Ziwei Liu 002; Bo Du 001; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

QVGen: Pushing the Limit of Quantized Video Generative Models. - Yushi Huang; Ruihao Gong; Jing Liu; Yifu Ding; Chengtao Lv; Haotong Qin; Jun Zhang (CoRR, 2025)

VORTA: Efficient Video Diffusion via Routing Sparse Attention. - Wenhao Sun; Rong-Cheng Tu; Yifu Ding; Zhao Jin; Jingyi Liao; Shunyu Liu 001; Dacheng Tao (CoRR, 2025)