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

BiPointNet: Binary Neural Network for Point Clouds. - Haotong Qin; Zhongang Cai; Mingyuan Zhang; Yifu Ding 001; 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 001; Shuo Wang 008; Xianglong Liu 001 (ICME, 2021)

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. - Zixin Yin; Jiakai Wang; Yifu Ding 001; 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 001; Haotong Qin; Xianglong Liu 001 (CoRR, 2021)

Diverse Sample Generation: Pushing the Limit of Data-free Quantization. - Haotong Qin; Yifu Ding 001; 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 001; 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 001; Bowei Jin; Hongping Zhi; Xianglong Liu 001; Aishan Liu (CVPR, 2022)

BiBERT: Accurate Fully Binarized BERT. - Haotong Qin; Yifu Ding 001; 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 001; Xiaoyang Li; Yang Zhang 088; Yao Tian; Zejun Ma 001; Jie Luo 004; Xianglong Liu 001 (IJCAI, 2022)

Towards Accurate Post-Training Quantization for Vision Transformer. - Yifu Ding 001; Haotong Qin; Qinghua Yan; Zhenhua Chai; Junjie Liu 003; Xiaolin Wei; Xianglong Liu 001 (ACM Multimedia, 2022)

BiBench: Benchmarking and Analyzing Network Binarization. - Haotong Qin; Mingyuan Zhang; Yifu Ding 001; 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 001; Yifan Liu 001; Xianglong Liu 001; Martin Danelljan; Fisher Yu 001 (NeurIPS, 2023)

OHQ: On-chip Hardware-aware Quantization. - Wei Huang 042; Haotong Qin; Yangdong Liu; Jingzhuo Liang; Yifu Ding 001; Ying Li 122; Xianglong Liu 001 (CoRR, 2023)

Distribution-Sensitive Information Retention for Accurate Binary Neural Network. - Haotong Qin; Xiangguo Zhang; Ruihao Gong; Yifu Ding 001; 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 001; 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 001; 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 001; Xuebo Liu 002; Min Zhang 005; Jinyang Guo 002; Xianglong Liu 001; Dacheng Tao (ACL (Findings), 2024)

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. - Yifu Ding 001; Weilun Feng; Chuyan Chen; Jinyang Guo 002; Xianglong Liu 001 (CVPR, 2024)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 004; Jinyang Guo 002; Yifu Ding 001; Xianglong Liu 001 (CVPR, 2024)

Compressing Large Language Models by Joint Sparsification and Quantization. - Jinyang Guo 002; Jianyu Wu; Zining Wang; Jiaheng Liu; Ge Yang; Yifu Ding 001; Ruihao Gong; Haotong Qin; Xianglong Liu 001 (ICML, 2024)

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. - Ge Yang; Changyi He; Jinyang Guo 002; Jianyu Wu; Yifu Ding 001; Aishan Liu; Haotong Qin; Pengliang Ji; Xianglong Liu 001 (NeurIPS, 2024)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 014; Jinyang Guo 002; Yifu Ding 001; Xianglong Liu 001 (CoRR, 2024)

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. - Ruihao Gong; Yifu Ding 001; Zining Wang; Chengtao Lv; Xingyu Zheng; Jinyang Du; Haotong Qin; Jinyang Guo 002; Michele Magno; Xianglong Liu 001 (CoRR, 2024)

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. - Haotong Qin; Xudong Ma; Yifu Ding 001; Xiaoyang Li; Yang Zhang 088; Zejun Ma 001; 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 001; 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)

Low-Bit FlashAttention Accelerated Operator Design Based on Triton. - Jinyang Du; Jinyang Guo; Yifu Ding 001 (ICCVW, 2025)

ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. - Jinyang Guo 002; Zhenghao Chen; Yuqing Ma; Yifu Ding 001; Xianglong Liu 001; Jinman Kim; Wanli Ouyang; Dacheng Tao (ICCVW, 2025)

DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. - Changyi He; Yifu Ding 001; Jinyang Guo 002; Ruihao Gong; Haotong Qin; Xianglong Liu 001 (ICML, 2025)

A survey of low-bit large language models: Basics, systems, and algorithms. - Ruihao Gong; Yifu Ding 001; Zining Wang; Chengtao Lv; Xingyu Zheng; Jinyang Du; Yang Yong; Shiqiao Gu; Haotong Qin; Jinyang Guo 002; Dahua Lin; Michele Magno; et al. (Neural Networks, 2025)

Dynamic Parallel Tree Search for Efficient LLM Reasoning. - Yifu Ding 001; 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 048; Yifu Ding 001; Chengtao Lv; Haotong Qin; Jun Zhang 004 (CoRR, 2025)

MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping. - Yushi Huang; Zining Wang; Zhihang Yuan; Yifu Ding 001; Ruihao Gong; Jinyang Guo 002; Xianglong Liu 001; Jun Zhang 004 (CoRR, 2025)

CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models. - Shengbo Gao; Jinyang Guo 002; Lixian Su; Yifu Ding 001; Shiqiao Gu; Aishan Liu; Yuqing Ma; Zhiwang Zhang; Xianglong Liu 001 (AAAI, 2026)

Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference. - Yifu Ding 001; Xinhao Zhang; Jinyang Guo (CoRR, 2026)

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design. - Yifu Ding 001; Xianglong Liu 001; Shenghao Jin; Jinyang Guo 002; Jiwen Lu (CoRR, 2026)