Huanqi Cao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PPoPP | ParDiff: Efficiently Parallelizing Reverse-Mode Automatic Differentiation with Direct Indexing. | Shuhong Huang, Shizhi Tang, Yuan Wen, Huanqi Cao, Ruibai Tang, Yidong Chen, Jiping Yu, Yang Li, Chao Jiang, Limin Xiao, Jidong Zhai |
| 2025 | CGO | IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization. | Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai |
| 2024 | ASPLOS | AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning. | Zhenbo Sun, Huanqi Cao, Yuanwei Wang, Guanyu Feng, Shengqi Chen, Haojie Wang, Wenguang Chen |
| 2023 | EMNLP | RWKV: Reinventing RNNs for the Transformer Era. | Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu |
| 2022 | OSDI | TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs. | Guanyu Feng, Huanqi Cao, Xiaowei Zhu, Bowen Yu, Yuanwei Wang, Zixuan Ma, Shengqi Chen, Wenguang Chen |
| 2022 | PPoPP | Scaling graph traversal to 281 trillion edges with 40 million cores. | Huanqi Cao, Yuanwei Wang, Haojie Wang, Heng Lin, Zixuan Ma, Wanwang Yin, Wenguang Chen |
| 2022 | PPoPP | BaGuaLu: targeting brain scale pretrained models with over 37 million cores. | Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen |
| 2022 | SC | Scaling Graph 500 SSSP to 140 Trillion Edges with over 40 Million Cores. | Yuanwei Wang, Huanqi Cao, Zixuan Ma, Wanwang Yin, Wenguang Chen |
| 2021 | ICPP | Sparker: Efficient Reduction for More Scalable Machine Learning with Spark. | Bowen Yu, Huanqi Cao, Tianyi Shan, Haojie Wang, Xiongchao Tang, Wenguang Chen |
| 2019 | FCCM | T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations. | Nitish Kumar Srivastava, Hongbo Rong, Prithayan Barua, Guanyu Feng, Huanqi Cao, Zhiru Zhang, David H. Albonesi, Vivek Sarkar, Wenguang Chen, Paul Petersen, Geoff Lowney, Adam Herr, Christopher J. Hughes, Timothy G. Mattson, Pradeep Dubey |