Yifu Ding - RankMe

63 papers A* 15A 1C 1Journal 33Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models. AAAI Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu
2026	J	`jnl`	SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models. CoRR Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Zhao Jin, Jingyi Liao, Yongcheng Jing, Dacheng Tao
2025	J	`jnl`	A survey of low-bit large language models: Basics, systems, and algorithms. Neural Networks Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Yang Yong, Shiqiao Gu, Haotong Qin, Jinyang Guo, Dahua Lin, Michele Magno, Xianglong Liu
2025	A*	`conf`	DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. ICML ChangYi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu
2025	J	`jnl`	Decision-dependent Robust Charging Infrastructure Planning for Light-duty Truck Electrification at Industrial Sites: Scheduling and Abandonment. CoRR Yifu Ding, Ruicheng Ao, Pablo Duenas Martinez, Thomas Magnanti
2025	—	`conf`	Dynamic Parallel Tree Search for Efficient LLM Reasoning. ACL (1) Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Dynamic Parallel Tree Search for Efficient LLM Reasoning. CoRR Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao
2025	—	`conf`	ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. ICCVW Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao
2025	—	`conf`	Low-Bit FlashAttention Accelerated Operator Design Based on Triton. ICCVW Jinyang Du, Jinyang Guo, Yifu Ding
2025	J	`jnl`	MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping. CoRR Yushi Huang, Zining Wang, Zhihang Yuan, Yifu Ding, Ruihao Gong, Jinyang Guo, Xianglong Liu, Jun Zhang
2025	J	`jnl`	QVGen: Pushing the Limit of Quantized Video Generative Models. CoRR Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang
2025	A*	`conf`	Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection. IJCAI Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang
2025	J	`jnl`	VORTA: Efficient Video Diffusion via Routing Sparse Attention. CoRR Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Zhao Jin, Jingyi Liao, Shunyu Liu, Dacheng Tao
2024	J	`jnl`	A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning. CoRR Yifu Ding, Jansen Wong, Serena Patel, Dharik Mallapragada, Guiyan Zang, Robert Stoner
2024	J	`jnl`	A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. CoRR Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu
2024	J	`jnl`	BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. IEEE Trans. Neural Networks Learn. Syst. Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
2024	A*	`conf`	Compressing Large Language Models by Joint Sparsification and Quantization. ICML Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu
2024	—	`conf`	DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
2024	A*	`conf`	LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. NeurIPS Ge Yang, ChangYi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
2024	J	`jnl`	LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. CoRR Ge Yang, ChangYi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
2024	A*	`conf`	PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
2024	J	`jnl`	PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
2024	A*	`conf`	Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. CVPR Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu
2024	J	`jnl`	Repurposing Coal Power Plants into Thermal Energy Storage for Supporting Zero-carbon Data Centers. CoRR Yifu Ding, Serena Patel, Dharik Mallapragada, Robert James Stoner
2023	A*	`conf`	BiBench: Benchmarking and Analyzing Network Binarization. ICML Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
2023	J	`jnl`	BiBench: Benchmarking and Analyzing Network Binarization. CoRR Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
2023	—	`conf`	Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game. e-Energy Yifu Ding, Siyuan Wang, Benjamin Hobbs
2023	J	`jnl`	Distribution-Sensitive Information Retention for Accurate Binary Neural Network. Int. J. Comput. Vis. Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
2023	J	`jnl`	Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
2023	J	`jnl`	Joint Chance-constrained Game for Coordinating Microgrids in Energy and Reserve Markets: A Bayesian Optimization Approach. CoRR Yifu Ding, Benjamin Hobbs
2023	J	`jnl`	OHQ: On-chip Hardware-aware Quantization. CoRR Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu
2023	A*	`conf`	QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
2023	J	`jnl`	Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Zhilei Li, Jun Li, Yuqing Ma, Rui Wang, Zhi-Ping Shi, Yifu Ding, Xianglong Liu
2023	J	`jnl`	Towards Accurate Post-Training Quantization for Vision Transformer. CoRR Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
2022	—	`conf`	An Empirical study of Data-Free Quantization's Tuning Robustness. CVPR Workshops Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin
2022	A*	`conf`	BiBERT: Accurate Fully Binarized BERT. ICLR Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
2022	J	`jnl`	BiBERT: Accurate Fully Binarized BERT. CoRR Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
2022	A*	`conf`	BiFSMN: Binary Neural Network for Keyword Spotting. IJCAI Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
2022	J	`jnl`	BiFSMN: Binary Neural Network for Keyword Spotting. CoRR Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
2022	J	`jnl`	BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. CoRR Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
2022	J	`jnl`	Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty. IEEE Trans. Smart Grid Yifu Ding, Thomas Morstyn, Malcolm D. McCulloch
2022	A*	`conf`	Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network. CVPR Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu
2022	A*	`conf`	Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
2021	—	`conf`	Additive Gaussian process prediction for electrical loads compared with deep learning models. e-Energy Yifu Ding, Malcolm McCulloch
2021	A*	`conf`	BiPointNet: Binary Neural Network for Point Clouds. ICLR Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
2021	J	`jnl`	Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
2021	J	`jnl`	Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty. CoRR Yifu Ding, Thomas Morstyn, Malcolm D. McCulloch
2021	—	`conf`	Distributionally robust optimization for networked microgrids considering contingencies and renewable uncertainty. CDC Yifu Ding, Malcolm D. McCulloch
2021	J	`jnl`	Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu
2021	A*	`conf`	Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
2021	J	`jnl`	Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
2021	—	`conf`	Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin
2021	A	`conf`	Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. ICME Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
2021	J	`jnl`	Multi-Pretext Attention Network for Few-shot Learning with Self-supervision. CoRR Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
2021	J	`jnl`	Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. CoRR Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu
2020	J	`jnl`	BiPointNet: Binary Neural Network for Point Clouds. CoRR Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
2020	—	`conf`	Predictive Control of Rural Microgrids with Temperature-dependent Battery Degradation Cost. ISGT-Europe Yifu Ding, Avinash Vijay, Derek Neal, Malcolm McCulloch
2020	—	`conf`	Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods. Biomedical Applications in Molecular, Structural, and Functional Imaging Samarth Gupta, Yuan Xue, Yifu Ding, Daniel Vanselow, Maksim Yakovlev, Damian B. van Rossum, Sharon X. Huang, Keith C. Cheng
2019	C	`conf`	A Novel Channel Emulation Method in Multi-Probe Anechoic Chamber Setups. ICCE Ruru Wang, Yifu Ding, Weimin Wang, Lei Chen, Yongle Wu, Yuanan Liu
2019	—	`conf`	Assessment of the Value of Frequency Response Times in Power Systems. ISGT Europe Yifu Ding, Roberto Moreira, Dagoberto Cedillos
2019	J	`jnl`	Assessment of the Value of Frequency Response Times in Power Systems. CoRR Yifu Ding, Roberto Moreira, Dagoberto Cedillos
2016	—	`conf`	Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification. Digital Pathology Yifu Ding, Thomas E. Tavolara, Keith Cheng