Ruisi Cai - RankMe

27 papers A* 13Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	∇-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space. CoRR Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang
2025	A*	`conf`	FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CVPR Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang
2025	J	`jnl`	FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CoRR Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang
2025	A*	`conf`	LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. ICLR Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
2025	J	`jnl`	Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs. CoRR Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Ruisi Cai, Marcin Chochowski, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, Jan Kautz, Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov
2025	A*	`conf`	Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding. ICML Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang
2025	J	`jnl`	Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding. CoRR Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang
2025	A*	`conf`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CVPR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	J	`jnl`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CoRR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	A*	`conf`	Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. ICLR Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li
2025	J	`jnl`	Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. CoRR Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li
2024	A*	`conf`	Flextron: Many-in-One Flexible Large Language Model. ICML Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
2024	J	`jnl`	Flextron: Many-in-One Flexible Large Language Model. CoRR Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
2024	A*	`conf`	LoCoCo: Dropping In Convolutions for Long Context Compression. ICML Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
2024	J	`jnl`	LoCoCo: Dropping In Convolutions for Long Context Compression. CoRR Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
2024	A*	`conf`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	J	`jnl`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	A*	`conf`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. NeurIPS Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	J	`jnl`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. CoRR Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2023	J	`jnl`	H CoRR Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	A*	`conf`	H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	—	`conf`	Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
2023	A*	`conf`	Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023	J	`jnl`	Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023	A*	`conf`	Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? ICML Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
2023	J	`jnl`	Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? CoRR Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
2022	A*	`conf`	Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets. NeurIPS Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang