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ORCIDWei Wen 0003
Person information
- affiliation: Meta Platforms Inc, Menlo Park, USA
Other persons with the same name
- Wei Wen — disambiguation page
- Wei Wen 0001
![[0000-0003-2753-3870]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2753-3870")
— University of New South Wales, Sydney, NSW, Australia - Wei Wen 0002 — Blekinge Institute of Technology, Karlskrona, Sweden
- Wei Wen 0004 — Peking Union Medical College, Tianjin, China
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2020 – today
- 2025
[j3]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
Towards Automated Model Design on Recommender Systems. Trans. Recomm. Syst. 3(3): 41:1-41:23 (2025)- 2024
- [c37]Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. IEEE Big Data 2024: 1492-1499 - [c36]Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen:
SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape. KDD 2024: 4536-4547 - [c35]Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen:
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) 2024: 73-82 - [c34]Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen:
AutoML for Large Capacity Modeling of Meta's Ranking Systems. WWW (Companion Volume) 2024: 374-382 - [i27]Wei Wen, Quanyu Zhu, Weiwei Chu, Wen-Yen Chen, Jiyan Yang:
CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance. CoRR abs/2409.04585 (2024) - [i26]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
Towards Automated Model Design on Recommender Systems. CoRR abs/2411.07569 (2024) - [i25]Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang:
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR abs/2411.09852 (2024) - 2023
- [c33]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW 2023: 1199-1207 - [i24]Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen:
Farthest Greedy Path Sampling for Two-shot Recommender Search. CoRR abs/2310.20705 (2023) - [i23]Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR abs/2311.00231 (2023) - [i22]Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen:
AutoML for Large Capacity Modeling of Meta's Ranking Systems. CoRR abs/2311.07870 (2023) - [i21]Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen:
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR abs/2311.08430 (2023) - [i20]Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen:
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. CoRR abs/2311.13169 (2023) - 2022
- [i19]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR abs/2207.07187 (2022) - 2020
- [c32]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops 2020: 2899-2908 - [c31]Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. ECCV (29) 2020: 660-676 - [c30]Huanrui Yang, Wei Wen, Hai Li:
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. ICLR 2020 - [c29]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. IJCAI 2020: 977-983 - [c28]Wei Wen, Feng Yan, Yiran Chen, Hai Li:
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. KDD 2020: 833-841 - [i18]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR abs/2004.09031 (2020) - [i17]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. CoRR abs/2004.14566 (2020)
2010 – 2019
- 2019
- [c27]Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen:
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. AICAS 2019: 276-278 - [c26]Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen:
Feature Space Perturbations Yield More Transferable Adversarial Examples. CVPR 2019: 7066-7074 - [c25]Jingchi Zhang, Wei Wen, Michael Deisher, Hsin-Pai Cheng, Hai Helen Li, Yiran Chen:
Learning Efficient Sparse Structures in Speech Recognition. ICASSP 2019: 2717-2721 - [c24]Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen:
How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD 2019: 1-5 - [c23]Qing Yang, Wei Wen, Zuoguan Wang, Hai Li:
Joint Regularization on Activations and Weights for Efficient Neural Network Pruning. ICMLA 2019: 790-797 - [c22]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
Trained Rank Pruning for Efficient Deep Neural Networks. EMC2@NeurIPS 2019: 14-17 - [i16]Wei Wen, Feng Yan, Hai Helen Li:
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. CoRR abs/1906.02909 (2019) - [i15]Qing Yang, Wei Wen, Zuoguan Wang, Hai Li:
Joint Pruning on Activations and Weights for Efficient Neural Networks. CoRR abs/1906.07875 (2019) - [i14]Huanrui Yang, Wei Wen, Hai Li:
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. CoRR abs/1908.09979 (2019) - [i13]Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li:
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training. CoRR abs/1909.11308 (2019) - [i12]Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. CoRR abs/1912.00848 (2019) - 2018
- [j2]Yiran Chen, Hai (Helen) Li, Chunpeng Wu, Chang Song, Sicheng Li, Chuhan Min, Hsin-Pai Cheng, Wei Wen, Xiaoxiao Liu:
Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view. Integr. 61: 49-61 (2018) - [c21]Xiaoxiao Liu, Wei Wen, Xuehai Qian, Hai Li, Yiran Chen:
Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems. ASP-DAC 2018: 141-146 - [c20]Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li:
Running sparse and low-precision neural network: When algorithm meets hardware. ASP-DAC 2018: 534-539 - [c19]Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li:
Learning Intrinsic Sparse Structures within Long Short-Term Memory. ICLR (Poster) 2018 - [i11]Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Yiran Chen, Hai Li:
SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. CoRR abs/1805.07898 (2018) - [i10]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
Trained Rank Pruning for Efficient Deep Neural Networks. CoRR abs/1812.02402 (2018) - 2017
- [c18]Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li:
Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. ASP-DAC 2017: 776-781 - [c17]Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li:
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. CVPR 2017: 761-770 - [c16]Yandan Wang, Wei Wen, Beiye Liu, Donald M. Chiarulli, Hai (Helen) Li:
Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks. DAC 2017: 85:1-85:6 - [c15]Hsin-Pai Cheng, Wei Wen, Chunpeng Wu, Sicheng Li, Hai Helen Li, Yiran Chen:
Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. DATE 2017: 139-144 - [c14]Sicheng Li, Wei Wen, Yu Wang, Song Han, Yiran Chen, Hai Li:
An FPGA Design Framework for CNN Sparsification and Acceleration. FCCM 2017: 28 - [c13]Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. ICCAD 2017: 751-756 - [c12]Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Coordinating Filters for Faster Deep Neural Networks. ICCV 2017: 658-666 - [c11]Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey:
Faster CNNs with Direct Sparse Convolutions and Guided Pruning. ICLR (Poster) 2017 - [c10]Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. NIPS 2017: 1509-1519 - [c9]Chang Song, Beiye Liu, Wei Wen, Hai Li, Yiran Chen:
A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system. NVMSA 2017: 1-6 - [i9]Yandan Wang, Wei Wen, Linghao Song, Hai (Helen) Li:
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses. CoRR abs/1701.01791 (2017) - [i8]Yandan Wang, Wei Wen, Beiye Liu, Donald M. Chiarulli, Hai Helen Li:
Group Scissor: Scaling Neuromorphic Computing Design to Big Neural Networks. CoRR abs/1702.03443 (2017) - [i7]Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li:
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. CoRR abs/1703.04071 (2017) - [i6]Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Coordinating Filters for Faster Deep Neural Networks. CoRR abs/1703.09746 (2017) - [i5]Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. CoRR abs/1705.07878 (2017) - [i4]Wei Wen, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li:
Learning Intrinsic Sparse Structures within Long Short-term Memory. CoRR abs/1709.05027 (2017) - 2016
- [j1]Miao Hu, Yandan Wang, Wei Wen, Yu Wang, Hai Li:
Leveraging Stochastic Memristor Devices in Neuromorphic Hardware Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 235-246 (2016) - [c8]Chi-Ruo Wu, Wei Wen, Tsung-Yi Ho, Yiran Chen:
Thermal optimization for memristor-based hybrid neuromorphic computing systems. ASP-DAC 2016: 274-279 - [c7]Wei Wen, Chunpeng Wu, Yandan Wang, Kent W. Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen:
A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip. DAC 2016: 18:1-18:6 - [c6]Hsin-Pai Cheng, Wei Wen, Chang Song, Beiye Liu, Hai Li, Yiran Chen:
Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. NANOARCH 2016: 185-190 - [c5]Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Learning Structured Sparsity in Deep Neural Networks. NIPS 2016: 2074-2082 - [i3]Wei Wen, Chunpeng Wu, Yandan Wang, Kent W. Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen:
A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip. CoRR abs/1604.00697 (2016) - [i2]Jongsoo Park, Sheng R. Li, Wei Wen, Hai Li, Yiran Chen, Pradeep Dubey:
Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size. CoRR abs/1608.01409 (2016) - [i1]Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Learning Structured Sparsity in Deep Neural Networks. CoRR abs/1608.03665 (2016) - 2015
- [c4]Wei Wen, Chi-Ruo Wu, Xiaofang Hu, Beiye Liu, Tsung-Yi Ho, Xin Li, Yiran Chen:
An EDA framework for large scale hybrid neuromorphic computing systems. DAC 2015: 12:1-12:6 - [c3]Beiye Liu, Wei Wen, Yiran Chen, Xin Li, Chi-Ruo Wu, Tsung-Yi Ho:
EDA Challenges for Memristor-Crossbar based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI 2015: 185-188 - [c2]Yandan Wang, Wei Wen, Hai Li, Miao Hu:
A Novel True Random Number Generator Design Leveraging Emerging Memristor Technology. ACM Great Lakes Symposium on VLSI 2015: 271-276 - [c1]Beiye Liu, Xiaoxiao Liu, Chenchen Liu, Wei Wen, M. Meng, Hai Li, Yiran Chen:
Hardware acceleration for neuromorphic computing: An evolving view. NVMTS 2015: 1-4
Coauthor Index
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