Ping Gong - RankMe

13 papers A* 3Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GLPilot: Efficient Distributed GNN Training With Learnable Embeddings. IEEE Trans. Parallel Distributed Syst. Chengru Yang, Chaoyi Ruan, Chengjie Tang, Ping Gong, Shiyi Wang, Xiang Song, Cheng Li
2026	J	`jnl`	Lagom: Unleashing the Power of Communication and Computation Overlapping for Distributed LLM Training. CoRR Guanbin Xu, ZhenGuo Xu, Yuzhe Li, Youhui Bai, Ping Gong, Chaoyi Ruan, Cheng Li
2026	A*	`conf`	SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing. AAAI Zewen Jin, Shen Fu, Chengjie Tang, Youhui Bai, Shengnan Wang, Jiaan Zhu, Chizheng Fang, Ping Gong, Cheng Li
2025	J	`jnl`	CLO: Efficient LLM Inference System with CPU-Light KVCache Offloading via Algorithm-System Co-Design. CoRR Jiawei Yi, Ping Gong, Youhui Bai, Jiaqi Ruan, Shengnan Wang, Pengcheng Wang, Haibo Wang, Weiguang Wang, Xia Zhu, Feng Wu, Cheng Li
2025	J	`jnl`	Efficient Long-Context LLM Inference via KV Cache Clustering. CoRR Jie Hu, Shengnan Wang, Yutong He, Ping Gong, Jiawei Yi, Juncheng Zhang, Youhui Bai, Renhai Chen, Gong Zhang, Cheng Li, Kun Yuan
2025	—	`conf`	HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. ACL (Findings) Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin, Ouxiang Zhou, Ruibo Liu, Guanbin Xu, Youhui Bai, Bowen Ye, Kun Yuan, Tong Yang, Gong Zhang, Renhai Chen, Feng Wu, Cheng Li
2025	J	`jnl`	HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. CoRR Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin, Ouxiang Zhou, Ruibo Liu, Guanbin Xu, Youhui Bai, Bowen Ye, Kun Yuan, Tong Yang, Gong Zhang, Renhai Chen, Feng Wu, Cheng Li
2025	—	`conf`	Understanding Data Preprocessing for Effective End-to-End Training of DNN. APPT Ping Gong, Yuxin Ma, Cheng Li, Xiaosong Ma, Sam H. Noh
2024	J	`jnl`	Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression. Proc. VLDB Endow. Yuxin Ma, Ping Gong, Tianming Wu, Jiawei Yi, Chengru Yang, Cheng Li, Qirong Peng, Guiming Xie, Yongcheng Bao, Haifeng Liu, Yinlong Xu
2023	J	`jnl`	Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks. CoRR Ping Gong, Yuxin Ma, Cheng Li, Xiaosong Ma, Sam H. Noh
2023	A*	`conf`	gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li
2022	J	`jnl`	BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan
2021	A*	`conf`	Gradient Compression Supercharged High-Performance Data Parallel DNN Training. SOSP Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu