| 2026 | ACL | POP: Prefill-Only Pruning for Efficient Large Model Inference. | Junhui He, Zhihui Fu, Jun Wang, Qingan Li |
| 2026 | CGO | Pyls: Enabling Python Hardware Synthesis with Dynamic Polymorphism via LCRS Encoding. | Bolei Tong, Yongyan Fang, Chaorui Wang, Qingan Li, Jingling Xue, Mengting Yuan |
| 2026 | CGO | Accelerating App Recompilation across Android System Updates by Code Reusing. | Hongtao Wu, Yu Chen, Mengfei Xie, Futeng Yang, Jun Yan, Jiang Ma, Jianming Fu, Chun Jason Xue, Qingan Li |
| 2025 | ACL | A²ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization. | Junhui He, Junna Xing, Nan Wang, Rui Xu, Shangyu Wu, Peng Zhou, Qiang Liu, Chun Jason Xue, Qingan Li |
| 2025 | CGO | MTE4JNI: A Memory Tagging Method to Protect Java Heap Memory from Illicit Native Code Access. | Huinan Chen, Jiang Ma, Chun Jason Xue, Qingan Li |
| 2025 | CGO | Calibro: Compilation-Assisted Linking-Time Binary Code Outlining for Code Size Reduction in Android Applications. | Zhanhao Liang, Hanming Sun, Wenhan Shang, Mengting Yuan, Jingqin Fu, Jiang Ma, Chun Jason Xue, Qingan Li |
| 2025 | EMNLP | MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization. | Chun Hu, Junhui He, Shangyu Wu, Yuxin He, Chun Jason Xue, Qingan Li |
| 2025 | ISCAS | Hardware Implementation of Modified Noisy Gradient Descent Bit-Flipping Decoders. | Qingan Li, Wai Man Tam, Francis C. M. Lau |
| 2024 | ASPLOS | More Apps, Faster Hot-Launch on Mobile Devices via Fore/Background-aware GC-Swap Co-design. | Jiacheng Huang, Yunmo Zhang, Junqiao Qiu, Yu Liang, Rachata Ausavarungnirun, Qingan Li, Chun Jason Xue |
| 2024 | EMNLP | CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification. | Junhui He, Shangyu Wu, Weidong Wen, Chun Jason Xue, Qingan Li |
| 2023 | RTCSA | Shared Dictionary Compression for Efficient Mobile Software Distribution. | Jinheng Li, Qiao Li, Qingan Li, Chun Jason Xue |
| 2022 | ASPDAC | Lamina: Low Overhead Wear Leveling for NVM with Bounded Tail. | Jiacheng Huang, Min Peng, Libing Wu, Chun Jason Xue, Qingan Li |
| 2022 | CGO | Recovering Container Class Types in C++ Binaries. | Xudong Wang, Xuezheng Xu, Qingan Li, Mengting Yuan, Jingling Xue |
| 2022 | DAC | GLite: a fast and efficient automatic graph-level optimizer for large-scale DNNs. | Jiaqi Li, Min Peng, Qingan Li, Meizheng Peng, Mengting Yuan |
| 2020 | ICCD | Loop2Recursion: Compiler-Assisted Wear Leveling for Non-Volatile Memory. | Wei Li, Libing Wu, Mengting Yuan, Chun Jason Xue, Jingling Xue, Qingan Li |
| 2019 | DATE | A Wear Leveling Aware Memory Allocator for Both Stack and Heap Management in PCM-based Main Memory Systems. | Wei Li, Ziqi Shuai, Chun Jason Xue, Mengting Yuan, Qingan Li |