Gang Li, Zejian Liu, Fanrong Li, Jian Cheng. Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol.41, No.5, pp.1436-1447, 2022.
Guanan Wang, Qinghao Hu, Yang Yang, Jian Cheng, Zeng-Guang Hou. Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.33, No.8, pp.4110-4124, 2022.
Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng. MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)，Vol.32, No.8, pp.5225-5237, 2022.
Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Action Recognition via Pose-based Graph Convolutional Networks with Intermediate Dense Supervision. Pattern Recognition, Vol.121, 108170, 2022.
Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng. Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR 2022.
Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang. MixFormer: Mixing Features across Windows and Dimensions. CVPR 2022.
Jiahao Lu, Xi Sheryl Zhang. Tianli Zhao, Xiangyu He, Jian Cheng. APRIL: Finding the Achilles' Heel on Privacy Leakage for Vision Transformers. CVPR 2022.
Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng. DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. AAAI 2022.
Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng. Towards Fully Sparse Training: Information Restoration with Spatial Similarity. AAAI 2022.
Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu. MENet: a Memory-Based Network with Dual-Branch for Efficient Event Stream Processing. ECCV 2022.
Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng. PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. ECCV 2022.
Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng. Multi-Granularity Pruning for Model Acceleration on Mobile Devices. ECCV 2022.
Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng. PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. NeurIPS 2022.
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