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2023
  • Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng. ECBC: Efficient Convolution via Blocked Columnizing. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.1, pp.433-445, 2023.
  • Peisong Wang, Fanrong Li, Gang Li, Jian Cheng. Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.8, pp.4167-4180, 2023.
  • Zejian Liu, Gang Li, Jian Cheng. Efficient Accelerator/Network Co-Search with Circular Greedy Reinforcement Learning. IEEE Transactions on Circuits and Systems-II: Express Briefs, Vol.70, No.7, pp.2615-2619, 2023.
  • Xing Lan, Qinghao Hu, Jian Cheng. ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. IEEE Transactions on Multimedia, Vol.25, pp.1798-1809, 2023.
  • Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng. Improving Extreme Low-bit Quantization with Soft Threshold. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol.33, No.4, pp.1549-1543, 2023.
  • Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng. Optimization-based Post-training Quantization with Bit-split and Stitching. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.45, No.2, pp.2119-2135, 2023.
  • Weihan Chen, Peisong Wang, Jian Cheng. Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognition (PR), Vol.140, 2023.
  • Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng. A2Q: Aggregation-Aware Quantization for Graph Neural Networks. ICLR 2023.
  • Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng. On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. ICLR 2023.
  • Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng. TinyNeRF: Towards 100x Compression of Voxel Radiance Fields. AAAI 2023.
  • Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu. Asynchronous Event Processing with Local-Shift Graph Convolutional Networks. AAAI 2023.
  • Zejian Liu, Gang Li, Jian Cheng. TBERT: Dynamic BERT Inference with Top-k Based Predictors. DATE 2023.
  • Zhixiang Ye, Qinghao Hu, Tianli Zhao, Wangping Zhou, Jian Cheng.  MCUNeRF: Packing NeRF into an MCU with 1MB Memory. ACM MM 2023.
  • Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng. Towards Efficient and Accurate Winograd Convolution via Full Quantization. NeurIPS 2023. 
  • Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023.
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