| 2026 | ISCAS | A 40-nm Resilient MLC RRAM Macro with Self-Referenced Time-Based Readout and 3-Bit Interleaved ECC Achieving 0.22 pJ/bit Read Energy. | Junjie He, Zhen Kong, Yida Liang, Humiao Li, Yida Li, Jiamin Li, Longyang Lin |
| 2026 | ISCAS | Mitigating Conductance Drift via In-Situ Calibration for Reliable RRAM-Based CIM Edge Inference. | Zhen Kong, Weirong Dong, Junjie He, Zhengke Yang, Jun Lan, Yida Liang, Jiamin Li, Yida Li, Longyang Lin |
| 2025 | ACL | StitchLLM: Serving LLMs, One Block at a Time. | Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella |
| 2024 | ICPP | Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths. | Xin Tan, Jiamin Li, Yitao Yang, Jingzong Li, Hong Xu |
| 2023 | EMNLP | Adaptive Gating in Mixture-of-Experts based Language Models. | Jiamin Li, Qiang Su, Yitao Yang, Yimin Jiang, Cong Wang, Hong Xu |
| 2023 | EuroSys | Lyra: Elastic Scheduling for Deep Learning Clusters. | Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang |
| 2023 | USENIX | Accelerating Distributed MoE Training and Inference with Lina. | Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu |
| 2022 | VTC | A Scheme for Uplink NOMA Communication with Intelligent Resource Allocation for mMTC Traffic over eMBB Traffic. | Xiangyu Zhu, Jie Wang, Jiamin Li, Hua Lu, Qiuyu Lai, Xinpeng Luo |
| 2021 | IJCNN | Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data. | Kaiwei Mo, Chen Chen, Jiamin Li, Hong Xu, Chun Jason Xue |
| 2020 | VTC | Transceiver Design for Large-scale DAS with Network Assisted Full Duplex. | Xinjiang Xia, Pengcheng Zhu, Jiamin Li, Dongming Wang, Yuanxue Xin, Xiaohu You |
| 2015 | VTC | Area Spectral Efficiency and Energy Efficiency Analysis in Downlink Massive MIMO Systems. | Yuanxue Xin, Dongming Wang, Jiamin Li, Huilin Zhu, Jiangzhou Wang, Xiaohu You |