Qidong Su

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Top Venues

Publications

Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. CoRR (2024)
Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Kaiyu Yang, Xujie Si
A Survey on Deep Learning for Theorem Proving. CoRR (2024)
Qidong Su, Christina Giannoula, Gennady Pekhimenko
The Synergy of Speculative Decoding and Batching in Serving Large Language Models. CoRR (2023)
Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si
TorchProbe: Fuzzing Dynamic Deep Learning Compilers. CoRR (2023)
Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si
TorchProbe: Fuzzing Dynamic Deep Learning Compilers. APLAS (2023)
Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR (2021)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC (2020)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR (2020)