Data-Free Learning of Student Networks. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Zhaohui Yang 003; Chuanjian Liu; Boxin Shi; Chunjing Xu; Chao Xu 006; Qi Tian 001 (ICCV, 2019)

LegoNet: Efficient Convolutional Neural Networks with Lego Filters. - Zhaohui Yang 003; Yunhe Wang 001; Chuanjian Liu; Hanting Chen; Chunjing Xu; Boxin Shi; Chao Xu 006; Chang Xu 002 (ICML, 2019)

Attribute Aware Pooling for Pedestrian Attribute Recognition. - Kai Han 002; Yunhe Wang 001; Han Shu; Chuanjian Liu; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Learning Instance-wise Sparsity for Accelerating Deep Models. - Chuanjian Liu; Yunhe Wang 001; Kai Han 002; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. - Guilin Li 001; Junlei Zhang; Yunhe Wang 001; Chuanjian Liu; Matthias Tan; Yunfeng Lin; Wei Zhang 196; Jiashi Feng; Tong Zhang 001 (NeurIPS, 2020)

Widening and Squeezing: Towards Accurate and Efficient QNNs. - Chuanjian Liu; Kai Han 002; Yunhe Wang 001; Hanting Chen; Chunjing Xu; Qi Tian 001 (CoRR, 2020)

Greedy Network Enlarging. - Chuanjian Liu; Kai Han 002; An Xiao; Yiping Deng; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

Network Amplification with Efficient MACs Allocation. - Chuanjian Liu; Kai Han 002; An Xiao; Ying Nie; Wei Zhang 196; Yunhe Wang 001 (CVPR Workshops, 2022)

Redistribution of Weights and Activations for AdderNet Quantization. - Ying Nie; Kai Han 002; Haikang Diao; Chuanjian Liu; Enhua Wu; Yunhe Wang 001 (NeurIPS, 2022)

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. - Ying Nie; Kai Han 002; Zhenhua Liu 003; Chuanjian Liu; Yunhe Wang 001 (Trans. Mach. Learn. Res., 2022)

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. - Yuhe Liu; Chuanjian Liu; Kai Han 002; Quan Tang 001; Zengchang Qin (ICCV, 2023)

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. - Chengcheng Wang; Wei He 001; Ying Nie; Jianyuan Guo; Chuanjian Liu; Yunhe Wang 001; Kai Han 002 (NeurIPS, 2023)

Category Feature Transformer for Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Yifan Liu 001; Jun Jiang 003; Bowen Zhang 009; Kai Han 002; Yunhe Wang 001 (CoRR, 2023)

Bi-ViT: Pushing the Limit of Vision Transformer Quantization. - Yanjing Li; Sheng Xu 007; Mingbao Lin; Xianbin Cao 001; Chuanjian Liu; Xiao Sun; Baochang Zhang 001 (AAAI, 2024)

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. - Runqi Wang; Huixin Sun; Linlin Yang; Shaohui Lin; Chuanjian Liu; Yan Gao 017; Yao Hu 002; Baochang Zhang 001 (AAAI, 2024)

An Empirical Study of Scaling Law for Scene Text Recognition. - Miao Rang; Zhenni Bi; Chuanjian Liu; Yunhe Wang 001; Kai Han 002 (CVPR, 2024)

An Empirical Study of Scaling Law for OCR. - Miao Rang; Zhenni Bi; Chuanjian Liu; Yunhe Wang 001; Kai Han 002 (CoRR, 2024)

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. - Zhenni Bi; Kai Han 002; Chuanjian Liu; Yehui Tang; Yunhe Wang 001 (CoRR, 2024)

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. - Miao Rang; Zhenni Bi; Chuanjian Liu; Yehui Tang; Kai Han 002; Yunhe Wang 001 (AAAI, 2025)

EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. - Yunsheng Ni; Chuanjian Liu; Yehui Tang; Kai Han 002; Yunhe Wang 001 (NAACL (Long Papers), 2025)

Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Jun Jiang 003; Bowen Zhang 009; C. L. Philip Chen; Kai Han 002; Yunhe Wang 001 (IEEE Trans. Image Process., 2025)

Learning Accurate Low-bit Quantization towards Efficient Computational Imaging. - Sheng Xu 007; Yanjing Li; Chuanjian Liu; Baochang Zhang 001 (Int. J. Comput. Vis., 2025)

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models. - Zhijun Tu; Hanting Chen; Siqi Liu; Chuanjian Liu; Jian Li; Jie Hu 021; Yunhe Wang 001 (CoRR, 2025)