Publications

Jiayu Zhao, Chunwei Xia, Zheng Wang (2025). Leveraging Compilation Statistics for Compiler Phase Ordering. IPDPS'25.

Shenghao Qiu, Chunwei Xia, Zheng Wang (2025). Accelerating Tensor-train Decomposition on Graph Neural Networks. IPDPS'25.

Shuoming Zhang, Jiacheng Zhao, Chunwei Xia, Zheng Wang, Yunji Chen, Huimin Cui (2024). Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly. In EMNLP ‘24.

Chunwei Xia, Jiacheng Zhao, Qianqi Chen, Zheng Wang, Xiaobing Feng, Huimin Cui (2024). Optimizing Deep Learning Inference via Global Analysis and Tensor Expression. In ASPLOS ‘24.

Huanting-Wang, Zhanyong-Tang, Shin Hwei Tan, Chunwei Xia, Zheng Wang (2024). Combining Structured Static Code Information and Dynamic Symbolic Traces for Software Vulnerability Prediction. ICSE'24.

Chunwei Xia, Jiacheng Zhao, Huimin Cui, Xiaobing Feng (2022). HOPE: a heterogeneity-oriented parallel execution engine for inference on mobiles. In HTL ‘22.

Ning Lin, Xiaoming Chen, Chunwei Xia, Jing Ye, Xiaowei Li (2021). Optimizing Deep Learning Inference via Global Analysis and Tensor Expression. In ATS ‘21.

Chunwei Xia, Jiacheng Zhao, Jingling Xue, Huimin Cui, Xiaobing Feng (2019). DNNTune: Automatic Benchmarking DNN Models for Mobile-cloud Computing. In TACO 19.

Jiacheng Zhao, Yisong Chang, Denghui Li, Chunwei Xia, Huimin Cui, Ke Zhang, Xiaobing Feng (2018). Optimizing Deep Learning Inference via Global Analysis and Tensor Expression. In NPC ‘18.

Chunwei Xia, Jiacheng Zhao, Huimin Cui, Xiaobing Feng (2018). Characterizing DNN Models for Edge-Cloud Computing. In IISWC ‘18.