Qidong Su - RankMe

17 papers A 2B 2Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	LoRAFusion: Efficient LoRA Fine-Tuning for LLMs. EuroSys Zhanda Zhu, Qidong Su, Yaoyao Ding, Kevin Song, Shang Wang, Gennady Pekhimenko
2025	—	`conf`	APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. ACL (1) Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
2025	J	`jnl`	Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents. CoRR Kevin Song, Anand Jayarajan, Yaoyao Ding, Qidong Su, Zhanda Zhu, Sihang Liu, Gennady Pekhimenko
2025	J	`jnl`	LoRAFusion: Efficient LoRA Fine-Tuning for LLMs. CoRR Zhanda Zhu, Qidong Su, Yaoyao Ding, Kevin Song, Shang Wang, Gennady Pekhimenko
2025	A	`conf`	Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. EuroSys Zhanda Zhu, Christina Giannoula, Muralidhar Andoorveedu, Qidong Su, Karttikeya Mangalam, Bojian Zheng, Gennady Pekhimenko
2025	J	`jnl`	Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. CoRR Zhanda Zhu, Christina Giannoula, Muralidhar Andoorveedu, Qidong Su, Karttikeya Mangalam, Bojian Zheng, Gennady Pekhimenko
2025	—	`conf`	Seesaw: High-throughput LLM Inference via Model Re-sharding. MLSys Qidong Su, Wei Zhao, Xin Li, Muralidhar Andoorveedu, Chenhao Jiang, Zhanda Zhu, Kevin Song, Christina Giannoula, Gennady Pekhimenko
2025	J	`jnl`	Seesaw: High-throughput LLM Inference via Model Re-sharding. CoRR Qidong Su, Wei Zhao, Xin Li, Muralidhar Andoorveedu, Chenhao Jiang, Zhanda Zhu, Kevin Song, Christina Giannoula, Gennady Pekhimenko
2024	J	`jnl`	A Survey on Deep Learning for Theorem Proving. CoRR Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Kaiyu Yang, Xujie Si
2024	J	`jnl`	APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. CoRR Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
2024	B	`conf`	BOOM: Use your Desktop to Accurately Predict the Performance of Large Deep Neural Networks. PACT Qidong Su, Jiacheng Yang, Gennady Pekhimenko
2023	J	`jnl`	The Synergy of Speculative Decoding and Batching in Serving Large Language Models. CoRR Qidong Su, Christina Giannoula, Gennady Pekhimenko
2023	B	`conf`	TorchProbe: Fuzzing Dynamic Deep Learning Compilers. APLAS Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si
2023	J	`jnl`	TorchProbe: Fuzzing Dynamic Deep Learning Compilers. CoRR Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si
2021	J	`jnl`	Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis
2020	—	`conf`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	J	`jnl`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis