Rubing Yang - RankMe

15 papers A* 4Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AngelSlim: A more accessible, comprehensive, and efficient toolkit for large model compression. CoRR Rui Cen, Qiangqiang Hu, Hong Huang, Hong Liu, Song Liu, Xin Luo, Lin Niu, Yifan Tan, Decheng Wu, Linchuan Xie, Rubing Yang, Guanghua Yu, Jianchen Zhu
2026	J	`jnl`	CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-Based CIM Architectures. IEEE Trans. Computers Yingjie Qi, Jianlei Yang, Rubing Yang, Cenlin Duan, Xiaolin He, Ziyan He, Weitao Pan, Weisheng Zhao
2026	A*	`conf`	SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning. AAAI Lingkun Long, Rubing Yang, Yushi Huang, Desheng Hui, Ao Zhou, Jianlei Yang
2025	J	`jnl`	An Effective Gram Matrix Characterizes Generalization in Deep Networks. CoRR Rubing Yang, Pratik Chaudhari
2025	J	`jnl`	CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-based CIM Architectures. CoRR Yingjie Qi, Jianlei Yang, Rubing Yang, Cenlin Duan, Xiaolin He, Ziyan He, Weitao Pan, Weisheng Zhao
2025	J	`jnl`	HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference. CoRR Cenlin Duan, Jianlei Yang, Rubing Yang, Yikun Wang, Yiou Wang, Lingkun Long, Yingjie Qi, Xiaolin He, Ao Zhou, Xueyan Wang, Weisheng Zhao
2025	J	`jnl`	SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning. CoRR Lingkun Long, Rubing Yang, Yushi Huang, Desheng Hui, Ao Zhou, Jianlei Yang
2025	J	`jnl`	SpecExit: Accelerating Large Reasoning Model via Speculative Exit. CoRR Rubing Yang, Huajun Bai, Song Liu, Guanghua Yu, Runzhi Fan, Yanbin Dang, Jiejing Zhang, Kai Liu, Jianchen Zhu, Peng Chen
2024	A*	`conf`	Prospective Learning: Learning for a Dynamic Future. NeurIPS Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T. Vogelstein, Pratik Chaudhari
2024	J	`jnl`	Prospective Learning: Learning for a Dynamic Future. CoRR Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T. Vogelstein, Pratik Chaudhari
2023	A*	`conf`	A Picture of the Space of Typical Learnable Tasks. ICML Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2023	J	`jnl`	The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold. CoRR Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2022	J	`jnl`	A picture of the space of typical learnable tasks. CoRR Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2022	A*	`conf`	Does the Data Induce Capacity Control in Deep Learning? ICML Rubing Yang, Jialin Mao, Pratik Chaudhari
2021	J	`jnl`	Does the Data Induce Capacity Control in Deep Learning? CoRR Rubing Yang, Jialin Mao, Pratik Chaudhari