An EDA framework for large scale hybrid neuromorphic computing systems. - Wei Wen 003; Chi-Ruo Wu; Xiaofang Hu; Beiye Liu; Tsung-Yi Ho; Xin Li 001; Yiran Chen 001 (DAC, 2015)

EDA Challenges for Memristor-Crossbar based Neuromorphic Computing. - Beiye Liu; Wei Wen 003; Yiran Chen 001; Xin Li 001; Chi-Ruo Wu; Tsung-Yi Ho (ACM Great Lakes Symposium on VLSI, 2015)

A Novel True Random Number Generator Design Leveraging Emerging Memristor Technology. - Yandan Wang; Wei Wen 003; Hai Li 001; Miao Hu 002 (ACM Great Lakes Symposium on VLSI, 2015)

Hardware acceleration for neuromorphic computing: An evolving view. - Beiye Liu; Xiaoxiao Liu 001; Chenchen Liu; Wei Wen 003; M. Meng; Hai Li 001; Yiran Chen 001 (NVMTS, 2015)

Thermal optimization for memristor-based hybrid neuromorphic computing systems. - Chi-Ruo Wu; Wei Wen 003; Tsung-Yi Ho; Yiran Chen 001 (ASP-DAC, 2016)

A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip. - Wei Wen 003; Chunpeng Wu; Yandan Wang; Kent W. Nixon; Qing Wu 002; Mark Barnell; Hai Li 001; Yiran Chen 001 (DAC, 2016)

Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. - Hsin-Pai Cheng; Wei Wen 003; Chang Song 001; Beiye Liu; Hai Li 001; Yiran Chen 001 (NANOARCH, 2016)

Learning Structured Sparsity in Deep Neural Networks. - Wei Wen 003; Chunpeng Wu; Yandan Wang; Yiran Chen 001; Hai Li 001 (NIPS, 2016)

Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size. - Jongsoo Park; Sheng R. Li; Wei Wen 003; Hai Li 001; Yiran Chen 001; Pradeep Dubey (CoRR, 2016)

Leveraging Stochastic Memristor Devices in Neuromorphic Hardware Systems. - Miao Hu 002; Yandan Wang; Wei Wen 003; Yu Wang 002; Hai Li 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. - Yandan Wang; Wei Wen 003; Linghao Song; Hai Helen Li (ASP-DAC, 2017)

A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. - Chunpeng Wu; Wei Wen 003; Tariq Afzal; Yongmei Zhang; Yiran Chen 001; Hai Li 001 (CVPR, 2017)

Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks. - Yandan Wang; Wei Wen 003; Beiye Liu; Donald M. Chiarulli; Hai (Helen) Li (DAC, 2017)

Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. - Hsin-Pai Cheng; Wei Wen 003; Chunpeng Wu; Sicheng Li 001; Hai Helen Li; Yiran Chen 001 (DATE, 2017)

An FPGA Design Framework for CNN Sparsification and Acceleration. - Sicheng Li 001; Wei Wen 003; Yu Wang 002; Song Han 003; Yiran Chen 001; Hai Li 001 (FCCM, 2017)

MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. - Jiachen Mao; Zhongda Yang; Wei Wen 003; Chunpeng Wu; Linghao Song; Kent W. Nixon; Xiang Chen 010; Hai Li 001; Yiran Chen 001 (ICCAD, 2017)

Coordinating Filters for Faster Deep Neural Networks. - Wei Wen 003; Cong Xu 002; Chunpeng Wu; Yandan Wang; Yiran Chen 001; Hai Li 001 (ICCV, 2017)

Faster CNNs with Direct Sparse Convolutions and Guided Pruning. - Jongsoo Park; Sheng R. Li; Wei Wen 003; Ping Tak Peter Tang; Hai Li 001; Yiran Chen 001; Pradeep Dubey (ICLR (Poster), 2017)

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. - Wei Wen 003; Cong Xu 002; Feng Yan 001; Chunpeng Wu; Yandan Wang; Yiran Chen 001; Hai Li 001 (NIPS, 2017)

A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system. - Chang Song 001; Beiye Liu; Wei Wen 003; Hai Li 001; Yiran Chen 001 (NVMSA, 2017)

Group Scissor: Scaling Neuromorphic Computing Design to Big Neural Networks. - Yandan Wang; Wei Wen 003; Beiye Liu; Donald M. Chiarulli; Hai Helen Li (CoRR, 2017)

Learning Intrinsic Sparse Structures within Long Short-term Memory. - Wei Wen 003; Yuxiong He; Samyam Rajbhandari; Wenhan Wang; Fang Liu; Bin Hu; Yiran Chen 001; Hai Li 001 (CoRR, 2017)

Running sparse and low-precision neural network: When algorithm meets hardware. - Bing Li 017; Wei Wen 003; Jiachen Mao; Sicheng Li 001; Yiran Chen 001; Hai Helen Li (ASP-DAC, 2018)

Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems. - Xiaoxiao Liu 001; Wei Wen 003; Xuehai Qian; Hai Li 001; Yiran Chen 001 (ASP-DAC, 2018)

Learning Intrinsic Sparse Structures within Long Short-Term Memory. - Wei Wen 003; Yuxiong He; Samyam Rajbhandari; Minjia Zhang; Wenhan Wang; Fang Liu; Bin Hu; Yiran Chen 001; Hai Li 001 (ICLR (Poster), 2018)

SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. - Wei Wen 003; Yandan Wang; Feng Yan 001; Cong Xu 002; Yiran Chen 001; Hai Li 001 (CoRR, 2018)

Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu 002; Yuxi Li 009; Shuai Zhang 009; Wei Wen 003; Botao Wang; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (CoRR, 2018)

Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view. - Yiran Chen 001; Hai (Helen) Li; Chunpeng Wu; Chang Song 001; Sicheng Li 001; Chuhan Min; Hsin-Pai Cheng; Wei Wen 003; Xiaoxiao Liu 001 (Integr., 2018)

Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. - Xuyang Guo; Yuanjun Huang; Hsin-Pai Cheng; Bing Li 017; Wei Wen 003; Siyuan Ma; Hai Helen Li; Yiran Chen 001 (AICAS, 2019)

Feature Space Perturbations Yield More Transferable Adversarial Examples. - Nathan Inkawhich; Wei Wen 003; Hai (Helen) Li; Yiran Chen 001 (CVPR, 2019)

Learning Efficient Sparse Structures in Speech Recognition. - Jingchi Zhang; Wei Wen 003; Michael Deisher; Hsin-Pai Cheng; Hai Helen Li; Yiran Chen 001 (ICASSP, 2019)

How to Obtain and Run Light and Efficient Deep Learning Networks. - Fan Chen 001; Wei Wen 003; Linghao Song; Jingchi Zhang; Hai Helen Li; Yiran Chen 001 (ICCAD, 2019)

Joint Regularization on Activations and Weights for Efficient Neural Network Pruning. - Qing Yang 011; Wei Wen 003; Zuoguan Wang; Hai Li 001 (ICMLA, 2019)

Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu 002; Yuxi Li 009; Shuai Zhang 009; Wei Wen 003; Botao Wang; Wenrui Dai; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (EMC2@NeurIPS, 2019)

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. - Wei Wen 003; Feng Yan 001; Hai Helen Li (CoRR, 2019)

Joint Pruning on Activations and Weights for Efficient Neural Networks. - Qing Yang 011; Wei Wen 003; Zuoguan Wang; Hai Li 001 (CoRR, 2019)

Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training. - Chunpeng Wu; Wei Wen 003; Yiran Chen 001; Hai Li 001 (CoRR, 2019)

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. - Huanrui Yang; Minxue Tang; Wei Wen 003; Feng Yan 001; Daniel Hu; Ang Li 005; Hai Li 001; Yiran Chen 001 (CVPR Workshops, 2020)

Neural Predictor for Neural Architecture Search. - Wei Wen 003; Hanxiao Liu; Yiran Chen 001; Hai Helen Li; Gabriel Bender; Pieter-Jan Kindermans (ECCV (29), 2020)

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. - Huanrui Yang; Wei Wen 003; Hai Li 001 (ICLR, 2020)

TRP: Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu 002; Yuxi Li 009; Shuai Zhang 009; Wei Wen 003; Botao Wang; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (IJCAI, 2020)

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. - Wei Wen 003; Feng Yan 001; Yiran Chen 001; Hai Li 001 (KDD, 2020)

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Feng Yan 001; Hai Li 001; Yiran Chen 001; Wei Wen 003 (WWW, 2023)

Farthest Greedy Path Sampling for Two-shot Recommender Search. - Yufan Cao 002; Tunhou Zhang; Wei Wen 003; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CoRR, 2023)

SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. - Hua Zheng; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Wen-Yen Chen; Wei Wen 003 (CoRR, 2023)

DistDNAS: Search Efficient Feature Interactions within 2 Hours. - Tunhou Zhang; Wei Wen 003; Igor Fedorov; Xi Liu; Buyun Zhang; Fangqiu Han; Wen-Yen Chen; Yiping Han; Feng Yan 001; Hai Li 001; Yiran Chen 001 (IEEE Big Data, 2024)

SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape. - Hua Zheng; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Wen-Yen Chen; Wei Wen 003 (KDD, 2024)

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. - Wei Wen 003; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Hang Yin 005; Weiwei Chu; Kaveh Hassani; Mengying Sun; Jiang Liu 011; Xu Wang; Lin Jiang; Yuxin Chen 001; et al. (WWW (Companion Volume), 2024)

AutoML for Large Capacity Modeling of Meta's Ranking Systems. - Hang Yin 005; Kuang-Hung Liu; Mengying Sun; Yuxin Chen 001; Buyun Zhang; Jiang Liu 011; Vivek Sehgal; Rudresh Rajnikant Panchal; Eugen Hotaj; Xi Liu; Daifeng Guo; Jamey Zhang; et al. (WWW (Companion Volume), 2024)

CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance. - Wei Wen 003; Quanyu Zhu; Weiwei Chu; Wen-Yen Chen; Jiyan Yang (CoRR, 2024)

InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CoRR, 2024)

Towards Automated Model Design on Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Yudong Liu; Feng Cheng; Yufan Cao 002; Feng Yan 001; Hai Li 001; Yiran Chen 001; et al. (Trans. Recomm. Syst., 2025)