Wei Wen - RankMe

69 papers A* 11A 4B 1C 1Misc 2Journal 31Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning. CoRR Qinsi Wang, Hancheng Ye, Jinhee Kim, Jinghan Ke, Yifei Wang, Martin Kuo, Zishan Shao, Dongting Li, Yueqian Lin, Ting Jiang, Chiyue Wei, Qi Qian, Wei Wen, Helen Li, Yiran Chen
2025	A	`conf`	InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM 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, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2025	J	`jnl`	Towards Automated Model Design on Recommender Systems. Trans. Recomm. Syst. 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
2024	—	`conf`	AutoML for Large Capacity Modeling of Meta's Ranking Systems. WWW (Companion Volume) 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
2024	J	`jnl`	CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance. CoRR Wei Wen, Quanyu Zhu, Weiwei Chu, Wen-Yen Chen, Jiyan Yang
2024	B	`conf`	DistDNAS: Search Efficient Feature Interactions within 2 Hours. IEEE Big Data Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
2024	J	`jnl`	InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR 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
2024	—	`conf`	Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) 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
2024	A*	`conf`	SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape. KDD Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
2024	J	`jnl`	Towards Automated Model Design on Recommender Systems. CoRR 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
2023	J	`jnl`	AutoML for Large Capacity Modeling of Meta's Ranking Systems. CoRR 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
2023	J	`jnl`	DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
2023	J	`jnl`	Farthest Greedy Path Sampling for Two-shot Recommender Search. CoRR Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen
2023	A*	`conf`	NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2023	J	`jnl`	Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR 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
2023	J	`jnl`	SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. CoRR Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
2022	J	`jnl`	NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2020	A*	`conf`	AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. KDD Wei Wen, Feng Yan, Yiran Chen, Hai Li
2020	A*	`conf`	DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. ICLR Huanrui Yang, Wei Wen, Hai Li
2020	—	`conf`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	—	`conf`	Neural Predictor for Neural Architecture Search. ECCV (29) Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans
2020	A*	`conf`	TRP: Trained Rank Pruning for Efficient Deep Neural Networks. IJCAI Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2020	J	`jnl`	TRP: Trained Rank Pruning for Efficient Deep Neural Networks. CoRR Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2019	J	`jnl`	AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. CoRR Wei Wen, Feng Yan, Hai Helen Li
2019	J	`jnl`	Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training. CoRR Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li
2019	J	`jnl`	DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. CoRR Huanrui Yang, Wei Wen, Hai Li
2019	—	`conf`	Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. AICAS Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen
2019	A*	`conf`	Feature Space Perturbations Yield More Transferable Adversarial Examples. CVPR Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen
2019	A	`conf`	How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen
2019	J	`jnl`	Joint Pruning on Activations and Weights for Efficient Neural Networks. CoRR Qing Yang, Wei Wen, Zuoguan Wang, Hai Li
2019	C	`conf`	Joint Regularization on Activations and Weights for Efficient Neural Network Pruning. ICMLA Qing Yang, Wei Wen, Zuoguan Wang, Hai Li
2019	Misc	`conf`	Learning Efficient Sparse Structures in Speech Recognition. ICASSP Jingchi Zhang, Wei Wen, Michael Deisher, Hsin-Pai Cheng, Hai Helen Li, Yiran Chen
2019	J	`jnl`	Neural Predictor for Neural Architecture Search. CoRR Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans
2019	—	`conf`	Trained Rank Pruning for Efficient Deep Neural Networks. EMC2@NeurIPS Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2018	—	`conf`	Learning Intrinsic Sparse Structures within Long Short-Term Memory. ICLR (Poster) Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li
2018	—	`conf`	Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems. ASP-DAC Xiaoxiao Liu, Wei Wen, Xuehai Qian, Hai Li, Yiran Chen
2018	J	`jnl`	Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view. Integr. Yiran Chen, Hai (Helen) Li, Chunpeng Wu, Chang Song, Sicheng Li, Chuhan Min, Hsin-Pai Cheng, Wei Wen, Xiaoxiao Liu
2018	—	`conf`	Running sparse and low-precision neural network: When algorithm meets hardware. ASP-DAC Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li
2018	J	`jnl`	SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. CoRR Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Yiran Chen, Hai Li
2018	J	`jnl`	Trained Rank Pruning for Efficient Deep Neural Networks. CoRR Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2017	A*	`conf`	A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. CVPR Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li
2017	J	`jnl`	A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. CoRR Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li
2017	—	`conf`	A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system. NVMSA Chang Song, Beiye Liu, Wei Wen, Hai Li, Yiran Chen
2017	Misc	`conf`	An FPGA Design Framework for CNN Sparsification and Acceleration. FCCM Sicheng Li, Wei Wen, Yu Wang, Song Han, Yiran Chen, Hai Li
2017	J	`jnl`	Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses. CoRR Yandan Wang, Wei Wen, Linghao Song, Hai (Helen) Li
2017	—	`conf`	Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. ASP-DAC Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li
2017	A*	`conf`	Coordinating Filters for Faster Deep Neural Networks. ICCV Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2017	J	`jnl`	Coordinating Filters for Faster Deep Neural Networks. CoRR Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2017	—	`conf`	Faster CNNs with Direct Sparse Convolutions and Guided Pruning. ICLR (Poster) Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey
2017	J	`jnl`	Group Scissor: Scaling Neuromorphic Computing Design to Big Neural Networks. CoRR Yandan Wang, Wei Wen, Beiye Liu, Donald M. Chiarulli, Hai Helen Li
2017	A*	`conf`	Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks. DAC Yandan Wang, Wei Wen, Beiye Liu, Donald M. Chiarulli, Hai (Helen) Li
2017	J	`jnl`	Learning Intrinsic Sparse Structures within Long Short-term Memory. CoRR Wei Wen, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li
2017	A	`conf`	MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. ICCAD Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen
2017	—	`conf`	TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. NIPS Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2017	J	`jnl`	TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. CoRR Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2017	A	`conf`	Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. DATE Hsin-Pai Cheng, Wei Wen, Chunpeng Wu, Sicheng Li, Hai Helen Li, Yiran Chen
2016	J	`jnl`	A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip. CoRR Wei Wen, Chunpeng Wu, Yandan Wang, Kent W. Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen
2016	A*	`conf`	A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip. DAC Wei Wen, Chunpeng Wu, Yandan Wang, Kent W. Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen
2016	—	`conf`	Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. NANOARCH Hsin-Pai Cheng, Wei Wen, Chang Song, Beiye Liu, Hai Li, Yiran Chen
2016	J	`jnl`	Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size. CoRR Jongsoo Park, Sheng R. Li, Wei Wen, Hai Li, Yiran Chen, Pradeep Dubey
2016	—	`conf`	Learning Structured Sparsity in Deep Neural Networks. NIPS Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2016	J	`jnl`	Learning Structured Sparsity in Deep Neural Networks. CoRR Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2016	J	`jnl`	Leveraging Stochastic Memristor Devices in Neuromorphic Hardware Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. Miao Hu, Yandan Wang, Wei Wen, Yu Wang, Hai Li
2016	—	`conf`	Thermal optimization for memristor-based hybrid neuromorphic computing systems. ASP-DAC Chi-Ruo Wu, Wei Wen, Tsung-Yi Ho, Yiran Chen
2015	—	`conf`	A Novel True Random Number Generator Design Leveraging Emerging Memristor Technology. ACM Great Lakes Symposium on VLSI Yandan Wang, Wei Wen, Hai Li, Miao Hu
2015	A*	`conf`	An EDA framework for large scale hybrid neuromorphic computing systems. DAC Wei Wen, Chi-Ruo Wu, Xiaofang Hu, Beiye Liu, Tsung-Yi Ho, Xin Li, Yiran Chen
2015	—	`conf`	EDA Challenges for Memristor-Crossbar based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI Beiye Liu, Wei Wen, Yiran Chen, Xin Li, Chi-Ruo Wu, Tsung-Yi Ho
2015	—	`conf`	Hardware acceleration for neuromorphic computing: An evolving view. NVMTS Beiye Liu, Xiaoxiao Liu, Chenchen Liu, Wei Wen, M. Meng, Hai Li, Yiran Chen