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2022
  • 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.
  • Yanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jian Cheng, Zechao Li, Jingdong Wang. Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning. NeurIPS 2022.
  • Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng. GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. NeurIPS 2022.
  • Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang. Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO 2022.
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