Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. - Gang Li 015; Fanrong Li; Tianli Zhao; Jian Cheng 001 (DATE, 2018)

Hybrid Modeling for Structural Dynamics of Complex Systems Based on Neural Network. - Xingmin Li; Tianli Zhao; Heming Zhao (FSDM, 2018)

Adaptive Adjustment of Scanning Angle of Terminal-Sensitive Projectile Based on Double Parameters of the Target. - Xingmin Li; Tianli Zhao; Jun Zhu; Jinwei Yang; Hailiang Zhang (FSDM, 2018)

Core-set based product quantization for large-scale multimedia search. - Tianli Zhao; Yanshu Jiang; Jiaxiang Wu 001; Jian Cheng 001 (ICIMCS, 2018)

BitStream: Efficient Computing Architecture for Real-Time Low-Power Inference of Binary Neural Networks on CPUs. - Tianli Zhao; Xiangyu He; Jian Cheng 001; Jing Hu (ACM Multimedia, 2018)

BitStream: An efficient framework for inference of binary neural networks on CPUs. - Yanshu Jiang; Tianli Zhao; Xiangyu He; Cong Leng; Jian Cheng 001 (Pattern Recognit. Lett., 2019)

Sparsity-Inducing Binarized Neural Networks. - Peisong Wang; Xiangyu He; Gang Li 015; Tianli Zhao; Jian Cheng 001 (AAAI, 2020)

Soft Threshold Ternary Networks. - Weixiang Xu; Xiangyu He; Tianli Zhao; Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (IJCAI, 2020)

Architecture Aware Latency Constrained Sparse Neural Networks. - Tianli Zhao; Qinghao Hu 001; Xiangyu He; Weixiang Xu; Jiaxing Wang; Cong Leng; Jian Cheng 001 (CoRR, 2021)

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices. - Tianli Zhao; Xi Sheryl Zhang; Wentao Zhu; Jiaxing Wang; Ji Liu; Jian Cheng 001 (CoRR, 2021)

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. - Jiahao Lu; Xi Sheryl Zhang; Tianli Zhao; Xiangyu He; Jian Cheng 001 (CVPR, 2022)

Multi-granularity Pruning for Model Acceleration on Mobile Devices. - Tianli Zhao; Xi Sheryl Zhang; Wentao Zhu; Jiaxing Wang; Sen Yang; Ji Liu; Jian Cheng 001 (ECCV (11), 2022)

TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. - Tianli Zhao; Jiayuan Chen 003; Cong Leng; Jian Cheng 001 (AAAI, 2023)

Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path Content Communication. - Jianning Chi; Zhiyi Sun; Tianli Zhao; Huan Wang; Xiaosheng Yu; Chengdong Wu 001 (MICCAI (10), 2023)

VTQA2023: ACM Multimedia 2023 Visual Text Question Answering Challenge. - Kang Chen; Tianli Zhao; Xiangqian Wu 002 (ACM Multimedia, 2023)

MCUNeRF: Packing NeRF into an MCU with 1MB Memory. - Zhixiang Ye; Qinghao Hu 001; Tianli Zhao; Wangping Zhou; Jian Cheng 001 (ACM Multimedia, 2023)

Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective. - Jiayuan Chen 003; Xiang Zhang; Yinfei Xu; Tianli Zhao; Renjie Xie; Wei Xu 001 (CoRR, 2023)

ECBC: Efficient Convolution via Blocked Columnizing. - Tianli Zhao; Qinghao Hu 001; Xiangyu He; Weixiang Xu; Jiaxing Wang; Cong Leng; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

SPNet: A Serial and Parallel Convolutional Neural Network algorithm for the cross-language coreference resolution. - Zixi Jia; Tianli Zhao; Jingyu Ru; Yanxiang Meng; Bing Xia (Comput. Speech Lang., 2025)

Neural Memory State Space Models for Medical Image Segmentation. - Zhihua Wang; Jingjun Gu; Wang Zhou; Quansong He; Tianli Zhao; Jialong Guo; Li Lu; Tao He; Jiajun Bu (Int. J. Neural Syst., 2025)

Integrating multi-scale information and diverse prompts in large model SAM-Med2D for accurate left ventricular ejection fraction estimation. - Yagang Wu; Tianli Zhao; Shijun Hu; Qin Wu; Yingxu Chen; Xin Huang; Zhoushun Zheng (Medical Biol. Eng. Comput., 2025)