Linnan Wang - RankMe

36 papers A* 8A 4B 2Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Training Video Foundation Models with NVIDIA NeMo. CoRR Zeeshan Patel, Ethan He, Parth Mannan, Xiaowei Ren, Ryan Wolf, Niket Agarwal, Jacob Samuel Huffman, Zhuoyao Wang, Carl Wang, Jack Chang, Yan Bai, Tommy Huang, Linnan Wang, Sahil Jain, Shanmugam Ramasamy, Joseph Jennings, Ekaterina Sirazitdinova, Oleg Sudakov, Mingyuan Ma, Bobby Chen, Forrest Lin, Hao Wang, Vasanth Rao Naik Sabavat, Sriharsha Niverty, Rong Ou, Pallab Bhattacharya, David Page, Nima Tajbakhsh, Ashwath Aithal
2024	J	`jnl`	Multi-Objective Neural Architecture Search by Learning Search Space Partitions. J. Mach. Learn. Res. Yiyang Zhao, Linnan Wang, Tian Guo
2024	J	`jnl`	Multi-objective Neural Architecture Search by Learning Search Space Partitions. CoRR Yiyang Zhao, Linnan Wang, Tian Guo
2022	—	`—`	Building an Intelligent Agent to Design Neural Networks. Linnan Wang
2022	J	`jnl`	GPUNet: Searching the Deployable Convolution Neural Networks for GPUs. CoRR Linnan Wang, Chenhan Yu, Satish Salian, Slawomir Kierat, Szymon Migacz, Alex Fit-Florea
2022	A*	`conf`	Multi-objective Optimization by Learning Space Partition. ICLR Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
2022	J	`jnl`	Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search. IEEE Trans. Pattern Anal. Mach. Intell. Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian
2022	A*	`conf`	Searching the Deployable Convolution Neural Networks for GPUs. CVPR Linnan Wang, Chenhan Yu, Satish Salian, Slawomir Kierat, Szymon Migacz, Alex Fit-Florea
2021	A*	`conf`	Few-Shot Neural Architecture Search. ICML Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo
2021	A*	`conf`	Learning Space Partitions for Path Planning. NeurIPS Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021	J	`jnl`	Learning Space Partitions for Path Planning. CoRR Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021	J	`jnl`	Multi-objective Optimization by Learning Space Partitions. CoRR Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
2020	A	`conf`	FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. HPDC Linnan Wang, Wei Wu, Junyu Zhang, Hang Liu, George Bosilca, Maurice Herlihy, Rodrigo Fonseca
2020	J	`jnl`	Few-shot Neural Architecture Search. CoRR Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo
2020	A*	`conf`	Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. NeurIPS Linnan Wang, Rodrigo Fonseca, Yuandong Tian
2020	J	`jnl`	Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. CoRR Linnan Wang, Rodrigo Fonseca, Yuandong Tian
2020	A*	`conf`	Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. AAAI Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca
2019	J	`jnl`	AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. CoRR Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca
2019	J	`jnl`	Sample-Efficient Neural Architecture Search by Learning Action Space. CoRR Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian
2018	A	`conf`	ADAPT: an event-based adaptive collective communication framework. HPDC Xi Luo, Wei Wu, George Bosilca, Thananon Patinyasakdikul, Linnan Wang, Jack J. Dongarra
2018	J	`jnl`	AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. CoRR Linnan Wang, Yiyang Zhao, Yuu Jinnai
2018	A*	`conf`	Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition. CVPR Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
2018	J	`jnl`	SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. CoRR Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018	J	`jnl`	SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks. CoRR Linnan Wang, Wei Wu, Yiyang Zhao, Junyu Zhang, Hang Liu, George Bosilca, Jack J. Dongarra, Maurice Herlihy, Rodrigo Fonseca
2018	B	`conf`	Superneurons: dynamic GPU memory management for training deep neural networks. PPoPP Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018	A	`conf`	Warp-Consolidation: A Novel Execution Model for GPUs. ICS Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song
2017	J	`jnl`	Accelerating deep neural network training with inconsistent stochastic gradient descent. Neural Networks Linnan Wang, Yi Yang, Renqiang Min, Srimat T. Chakradhar
2017	A*	`conf`	Efficient Communications in Training Large Scale Neural Networks. ACM Multimedia (Thematic Workshops) Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu
2017	J	`jnl`	Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition. CoRR Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
2017	B	`conf`	Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
2017	—	`conf`	Towards Interactive Data Exploration. BIRTE (Revised Selected Papers) Carsten Binnig, Fuat Basik, Benedetto Buratti, Ugur Çetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi, Tim Kraska, Zeyuan Shang, Isabella Tromba, Arif Usta, Prasetya Ajie Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen
2016	J	`jnl`	Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent. CoRR Linnan Wang, Yi Yang, Martin Renqiang Min, Srimat T. Chakradhar
2016	A	`conf`	BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing. ICS Linnan Wang, Wei Wu, Zenglin Xu, Jianxiong Xiao, Yi Yang
2016	J	`jnl`	Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
2015	J	`jnl`	BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing. CoRR Linnan Wang, Wei Wu, Jianxiong Xiao, Yi Yang
2015	J	`jnl`	Large Scale Artificial Neural Network Training Using Multi-GPUs. CoRR Linnan Wang, Wei Wu, Jianxiong Xiao, Yang Yi