Yifu Ding
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models. | Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu |
| 2025 | ACL | Dynamic Parallel Tree Search for Efficient LLM Reasoning. | 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 | ICCV | Low-Bit FlashAttention Accelerated Operator Design Based on Triton. | Jinyang Du, Jinyang Guo, Yifu Ding |
| 2025 | ICCV | ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. | Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao |
| 2025 | ICML | DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. | Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu |
| 2025 | IJCAI | Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection. | Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang |
| 2024 | ACL | 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 |
| 2024 | CVPR | Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. | Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu |
| 2024 | CVPR | PTQ4SAM: Post-Training Quantization for Segment Anything. | Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu |
| 2024 | ICML | 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 |
| 2023 | ICML | BiBench: Benchmarking and Analyzing Network Binarization. | Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu |
| 2022 | CVPR | An Empirical study of Data-Free Quantization's Tuning Robustness. | Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin |
| 2022 | CVPR | 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 |
| 2022 | ICLR | BiBERT: Accurate Fully Binarized BERT. | Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu |
| 2022 | IJCAI | 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 |
| 2021 | CVPR | 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 |
| 2021 | ICLR | BiPointNet: Binary Neural Network for Point Clouds. | Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su |