Yingyan (Celine) Lin

14 papers A* 9Journal 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering.
ACM Trans. Design Autom. Electr. Syst.
Wei-Hsing Huang, Cheng-Jhih Shih, Jian-Wei Su, Samuel Wade Wang, Vaidehi Garg, Yuyao Kong, Jen-Chun Tien, Nealson Li, Arijit Raychowdhury, Meng-Fan Chang, Yingyan (Celine) Lin, Shimeng Yu
2025 J jnl
Hardware Race for Scalable Real-Time 3D Neural Reconstruction and Rendering.
Computer
Sixu Li, Chaojian Li, Yingyan (Celine) Lin
2025 J jnl
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models.
CoRR
Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van Keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Hannah Zhang, Nikolaus Binder, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan (Celine) Lin, Pavlo Molchanov
2025 A* conf
ORCHES: Orchestrated Test-Time-Compute-based LLM Reasoning on Collaborative GPU-PIM HEterogeneous System.
MICRO
Sixu Li, Yuzhou Chen, Chaojian Li, Yonggan Fu, Zheng Wang, Zhongzhi Yu, Haoran You, Zhifan Ye, Wei Zhou, Yongan Zhang, Yingyan (Celine) Lin
2024 A* conf
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning.
NeurIPS
Zhifan Ye, Chenxi Wan, Chaojian Li, Jihoon Hong, Sixu Li, Leshu Li, Yongan Zhang, Yingyan (Celine) Lin
2024 A* conf
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits.
DAC
Yujie Zhao, Yang Katie Zhao, Cheng Wan, Yingyan (Celine) Lin
2024 A* conf
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment.
NeurIPS
Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin
2024 J jnl
An Investigation on Hardware-Aware Vision Transformer Scaling.
ACM Trans. Embed. Comput. Syst.
Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
2024 A* conf
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting.
DAC
Zhongzhi Yu, Zheng Wang, Yuhan Li, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan (Celine) Lin
2024 — ed.
Proceedings of the Eighth Conference on Machine Learning and Systems, MLSys 2025, Santa Clara, CA, USA, May 12-15, 2025
MLSys
Matei Zaharia, Gauri Joshi, Yingyan (Celine) Lin
2024 A* conf
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field.
NeurIPS
Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan (Celine) Lin, Yu Wang
2024 A* conf
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization.
NeurIPS
Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan (Celine) Lin
2023 A* conf
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
ISCA
Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan (Celine) Lin
2022 A* conf
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing.
NeurIPS
Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Yingyan (Celine) Lin