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ORCIDYifu Ding 0001
Person information
- affiliation: Beihang University, State Key Laboratory of Complex & Critical Software Environment, Beijing, China
Other persons with the same name
- Yifu Ding — disambiguation page
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2020 – today
- 2026
[c21]Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu:
CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models. AAAI 2026: 21198-21206- [i23]Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Zhao Jin, Jingyi Liao, Yongcheng Jing, Dacheng Tao:
SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models. CoRR abs/2602.02544 (2026) - [i22]Yifu Ding, Xinhao Zhang, Jinyang Guo:
Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference. CoRR abs/2604.03950 (2026) - [i21]Yifu Ding, Xianglong Liu, Shenghao Jin, Jinyang Guo, Jiwen Lu:
BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design. CoRR abs/2604.03957 (2026) - 2025
- [j5]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:
A survey of low-bit large language models: Basics, systems, and algorithms. Neural Networks 192: 107856 (2025) - [c20]Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao:
Dynamic Parallel Tree Search for Efficient LLM Reasoning. ACL (1) 2025: 11233-11252 - [c19]Jinyang Du, Jinyang Guo, Yifu Ding:
Low-Bit FlashAttention Accelerated Operator Design Based on Triton. ICCVW 2025: 3017-3026 - [c18]Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao:
ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. ICCVW 2025: 3189-3192 - [c17]Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu:
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. ICML 2025 - [i20]Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao:
Dynamic Parallel Tree Search for Efficient LLM Reasoning. CoRR abs/2502.16235 (2025) - [i19]Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang:
QVGen: Pushing the Limit of Quantized Video Generative Models. CoRR abs/2505.11497 (2025) - [i18]Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Zhao Jin, Jingyi Liao, Shunyu Liu, Dacheng Tao:
VORTA: Efficient Video Diffusion via Routing Sparse Attention. CoRR abs/2505.18809 (2025) - [i17]Yushi Huang, Zining Wang, Zhihang Yuan, Yifu Ding, Ruihao Gong, Jinyang Guo, Xianglong Liu, Jun Zhang:
MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping. CoRR abs/2511.15690 (2025) - 2024
- [j4]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) - [c16]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 - [c15]Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR 2024: 15941-15951 - [c14]Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu:
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. CVPR 2024: 16174-16184 - [c13]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: 16945-16957 - [c12]Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu:
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. NeurIPS 2024 - [i16]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) - [i15]Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR abs/2405.03144 (2024) - [i14]Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu:
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. CoRR abs/2409.16694 (2024) - [i13]Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu:
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. CoRR abs/2410.21352 (2024) - 2023
- [j3]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) - [j2]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) - [j1]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) - [c11]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 - [c10]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 - [i12]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) - [i11]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) - [i10]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
- [c9]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 - [c8]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 - [c7]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. ICLR 2022 - [c6]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 - [c5]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 - [i9]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) - [i8]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) - [i7]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
- [c4]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 - [c3]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 - [c2]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 - [c1]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 - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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
- [i1]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)
Coauthor Index
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