| 2026 | AAAI | Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies. | Zhongnian Li, Lan Chen, Yixin Xu, Shi Xu, Xinzheng Xu |
| 2024 | DAC | Reducing DRAM Latency via In-situ Temperature- and Process-Variation-Aware Timing Detection and Adaption. | Yuxuan Qin, Chuxiong Lin, Mingche Lai, Zhang Luo, Shi Xu, Weifeng He |
| 2024 | SMC | A Fast and Safe Neuromorphic Approach for Obstacle Avoidance of Unmanned Aerial Vehicle. | Zhong Wan, Xiangyu Zhang, Xun Xiao, Jingyue Zhao, Junbo Tie, Renzhi Chen, Shi Xu, Guangda Zhang, Lei Wang, Huadong Dai |
| 2023 | ISCAS | A Metastability Inference and Avoidance Technique for Near-Threshold-Voltage Network-on-Chip. | Lin Shao, Mingche Lai, Shi Xu, Chuxiong Lin, Weifeng He |
| 2023 | ISCAS | An Area-Efficient Single-Phase-Clocked and Contention-Free Flip-Flop for Ultra-Low-Voltage Operations. | Xue Yuan, Kun Su, Jingyi He, Shi Xu, Jieyu Li, Weifeng He |
| 2022 | DAC | CREAM: computing in ReRAM-assisted energy and area-efficient SRAM for neural network acceleration. | Liukai Xu, Songyuan Liu, Zhi Li, Dengfeng Wang, Yiming Chen, Yanan Sun, Xueqing Li, Weifeng He, Shi Xu |
| 2020 | ICONIP | Densely Multi-path Network for Single Image Super-Resolution. | Shi Xu, Li Zhang |
| 2019 | ICIP | An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement. | Takeharu Eda, Sanae Muramatsu, Shohei Enomoto, Shi Xu |
| 2018 | AVSS | A Practical Person Monitoring System for City Security. | Takeharu Eda, Sanae Muramatsu, Keita Mikami, Shi Xu |