| 2025 | ICASSP | D2S: Towards Efficient Sparse 3D Object Detection via Dense to Sparse Knowledge Distillation. | Yuqi Huang, Longjun Liu, Yingke Gao, Haonan Zhang, Haoteng Li |
| 2025 | ICRA | Dualdiff: Dual-Branch Diffusion Model for Autonomous Driving with Semantic Fusion. | Haoteng Li, Zhao Yang, Zezhong Qian, Gongpeng Zhao, Yuqi Huang, Jun Yu, Huazheng Zhou, Longjun Liu |
| 2025 | ISCAS | An FPGA-based Real-Time Optical Flow Accelerator for Recurrent All-Pairs Field Transforms. | Xiaoliang Jia, Hong Tang, Xiqin Zheng, Yingke Gao, Longjun Liu |
| 2025 | ICRA | Towards Accurate Semi-Supervised BEV 3D Object Detection with Depth-Aware Refinement and Denoising-Aided Alignment. | Zhao Yang, Yinan Shi, Jiangtong Zhu, Weixiang Xu, Longjun Liu |
| 2024 | AAAI | IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance. | Hongyi He, Longjun Liu, Haonan Zhang, Nanning Zheng |
| 2024 | CVPR | CaKDP: Category-Aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection. | Haonan Zhang, Longjun Liu, Yuqi Huang, Zhao Yang, Xinyu Lei, Bihan Wen |
| 2024 | FPL | AMA: An Analytical Approach to Maximizing the Efficiency of Deep Learning on Versal AI Engine. | Xiaodong Deng, Shijie Wang, Tianyi Gao, Jing Liu, Longjun Liu, Nanning Zheng |
| 2024 | ISCAS | Compensation Architecture to Alleviate Noise Effects in RRAM-based Computing-in-memory Chips with Residual Resource. | Xiaoqing Zhao, Longjun Liu, Yuyi Liu, Bin Gao, Hongbin Sun |
| 2023 | ICIP | Cross-Layer Patch Alignment and Intra-and-Inter Patch Relations for Knowledge Distillation. | Yi Zhang, Yingke Gao, Haonan Zhang, Xinyu Lei, Longjun Liu |
| 2022 | ACML | A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness. | Hengyi Zhou, Hongyi He, Wanchen Liu, Yuhai Li, Haonan Zhang, Longjun Liu |
| 2022 | IJCNN | CMB: A Novel Structural Re-parameterization Block without Extra Training Parameters. | Hengyi Zhou, Longjun Liu, Haonan Zhang, Hongyi He, Nanning Zheng |
| 2021 | IJCNN | Exploring Effective DNN Models for Forensic Age Estimation based on Panoramic Radiograph Images. | Wenxuan Hou, Longjun Liu, Jinxia Gao, Anguo Zhu, Keyang Pan, Hongbin Sun, Nanning Zheng |
| 2020 | ASPDAC | Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator. | Baoting Li, Longjun Liu, Yanming Jin, Peng Gao, Hongbin Sun, Nanning Zheng |
| 2019 | ICIP | Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems. | Xing Lei, Longjun Liu, Zhiheng Zhou, Hongbin Sun, Nanning Zheng |
| 2019 | ISCAS | REcache: Efficient Sustainable Energy Management Circuits and Policies for Computing Systems. | Longjun Liu, Hongbin Sun, Peng Gao, Nanning Zheng, Tao Li |
| 2016 | ICS | HOPE: Enabling Efficient Service Orchestration in Software-Defined Data Centers. | Yang Hu, Chao Li, Longjun Liu, Tao Li |
| 2016 | ICS | Towards an Adaptive Multi-Power-Source Datacenter. | Longjun Liu, Hongbin Sun, Chao Li, Yang Hu, Nanning Zheng, Tao Li |
| 2015 | DSN | BAAT: Towards Dynamically Managing Battery Aging in Green Datacenters. | Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu, Tao Li |
| 2015 | ISCA | Towards sustainable in-situ server systems in the big data era. | Chao Li, Yang Hu, Longjun Liu, Juncheng Gu, Mingcong Song, Xiaoyao Liang, Jingling Yuan, Tao Li |
| 2015 | ISCA | HEB: deploying and managing hybrid energy buffers for improving datacenter efficiency and economy. | Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu, Tao Li, Jingmin Xin, Nanning Zheng |
| 2013 | MICRO | Enabling datacenter servers to scale out economically and sustainably. | Chao Li, Yang Hu, Ruijin Zhou, Ming Liu, Longjun Liu, Jingling Yuan, Tao Li |
| 2005 | WSC | Does more uniformly distributed sampling generally lead to more accurate prediction in computer experiments? | Longjun Liu, Wayne W. Wakeland |