Shiwei Liu

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 103

Top Venues

Publications

Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu
Dynamic Data Pruning for Automatic Speech Recognition. CoRR (2024)
Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR (2024)
Adriana Fernandez-Lopez, Honglie Chen, Pingchuan Ma, Lu Yin, Qiao Xiao, Stavros Petridis, Shiwei Liu, Maja Pantic
MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization. CoRR (2024)
Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei Liu
OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning. CoRR (2024)
Shiwei Liu, Yong Liu, Qiaohua Wang, Weiguo Lin, Yanhua Sun, Lingsong He
Brownian motion based multi-objective particle swarm optimization methodology and application in binary classification. Appl. Soft Comput. 157 (2024)
Shiwei Liu, Yong Liu, Longxiang Shan, Qiaohua Wang, Yanhua Sun, Lingsong He
Hybrid Conditional Kernel SVM for Wire Rope Defect Recognition. IEEE Trans. Ind. Informatics 20 (4) (2024)
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion. CoRR (2024)
Yiyao Wang, Jinping Niu, Gaojie Chen, Xiangwei Zhou, Yanyan Li, Shiwei Liu
RIS-Aided Latency-Efficient MEC HetNet With Wireless Backhaul. IEEE Trans. Veh. Technol. 73 (6) (2024)
Shiwei Liu, Yong Xu, Siliang Ma
Hypergraph-Enhanced Self-Supervised Robust Graph Learning for Social Recommendation. ICASSP (2024)
Shiwei Liu, Liejun Wang, Wenwen Yue
An efficient medical image classification network based on multi-branch CNN, token grouping Transformer and mixer MLP. Appl. Soft Comput. 153 (2024)
Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. CoRR (2024)
Shiwei Liu, Guanchen Tao, Yifei Zou, Derek Chow, Zichen Fan, Kauna Lei, Bangfei Pan, Dennis Sylvester, Gregory Kielian, Mehdi Saligane
ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters. CoRR (2024)
Zhenyu Zhang, Shiwei Liu, Runjin Chen, Bhavya Kailkhura, Beidi Chen, Atlas Wang
Q-Hitter: A Better Token Oracle for Efficient LLM Inference via Sparse-Quantized KV Cache. MLSys (2024)
Shiwei Liu, Chen Mu, Hao Jiang, Yunzhengmao Wang, Jinshan Zhang, Feng Lin, Keji Zhou, Qi Liu, Chixiao Chen
HARDSEA: Hybrid Analog-ReRAM Clustering and Digital-SRAM In-Memory Computing Accelerator for Dynamic Sparse Self-Attention in Transformer. IEEE Trans. Very Large Scale Integr. Syst. 32 (2) (2024)
Shiwei Liu, Yong Xu
Multi-behavior Enhanced Self-supervised Graph Learning for Social Recommendation. CSCWD (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR (2023)
Shiwei Liu, Tian Zhu, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model. CoRR (2023)
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
Dynamic Sparsity Is Channel-Level Sparsity Learner. NeurIPS (2023)
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
Enhancing Adversarial Training via Reweighting Optimization Trajectory. ECML/PKDD (1) (2023)
Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR (2023)
Jinlian Liu, Xinyao Zhou, Hanya Tang, Fengqin Yan, Shiwei Liu, Xuguang Tang, Zhi Ding, Ke Jiang, Pujia Yu
Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis. Int. J. Digit. Earth 16 (1) (2023)
Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops (2023)
Shiwei Liu, Peizhe Li, Jinshan Zhang, Yunzhengmao Wang, Haozhe Zhu, Wenning Jiang, Shan Tang, Chixiao Chen, Qi Liu, Ming Liu
A 28nm 53.8TOPS/W 8b Sparse Transformer Accelerator with In-Memory Butterfly Zero Skipper for Unstructured-Pruned NN and CIM-Based Local-Attention-Reusable Engine. ISSCC (2023)
Tianjin Huang, Tianlong Chen, Zhangyang Wang, Shiwei Liu
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need. CoRR (2023)
Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR (2023)
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
Dynamic Sparsity Is Channel-Level Sparsity Learner. CoRR (2023)
Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. AAAI (2023)
Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. ICLR (2023)
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
Enhancing Adversarial Training via Reweighting Optimization Trajectory. CoRR (2023)
Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. ICML (2023)
Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. CoRR (2023)
Shiwei Liu, Muchao Chen
Wire Rope Defect Recognition Method Based on MFL Signal Analysis and 1D-CNNs. Sensors 23 (7) (2023)
Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR (2023)
Jie Liao, Bo Jiao, Jinshan Zhang, Shiwei Liu, Hao Jiang, Jun Tao, Wenning Jiang, Qi Liu, Lihua Zhang, Haozhe Zhu, Chixiao Chen
A Scalable Die-to-Die Interconnect with Replay and Repair Schemes for 2.5D/3D Integration. ISCAS (2023)
Shiwei Liu, Tian Zhu, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model. NeurIPS (2023)
Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? NeurIPS (2023)
Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. CoRR (2023)
Lu Yin, Shiwei Liu, Ajay Jaiswal, Souvik Kundu, Zhangyang Wang
Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity. CoRR (2023)
Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! CoRR (2023)
Shiwei Liu, Li Yuan
A Modified A Posteriori Subcell Limiter for High Order Flux Reconstruction Scheme for One-Dimensional Detonation Simulation. J. Sci. Comput. 97 (2) (2023)
Shiwei Liu, Zhangyang Wang
Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers. CoRR (2023)
Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. CoRR (2023)
Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance. Int. J. Comput. Vis. 131 (10) (2023)
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
Are Large Kernels Better Teachers than Transformers for ConvNets? ICML (2023)
Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. NeurIPS (2023)
Behzad Akbari, Ya-Jun Pan, Shiwei Liu, Tianye Wang
Optimized Path Planning for USVs under Ocean Currents. CoRR (2023)
Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. CoRR (2023)
Jinlian Liu, Hanya Tang, Fengqin Yan, Shiwei Liu, Xuguang Tang, Zhi Ding, Pujia Yu
Future variation of land surface temperature in the Yangtze River Basin based on CMIP6 model. Int. J. Digit. Earth 16 (1) (2023)
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
Are Large Kernels Better Teachers than Transformers for ConvNets? CoRR (2023)
Duc Hoang, Souvik Kundu, Shiwei Liu, Zhangyang Wang
Don't just prune by magnitude! Your mask topology is a secret weapon. NeurIPS (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV (2023)
Shiwei Liu, Sheng Xue, Zhongyang Li
Health state estimation of lithium-ion batteries based on improved whale algorithm optimized nuclear limit learning machine. EITCE (2023)
Azezigul Abdukirim, Yichong Ren, Zhiwei Tao, Shiwei Liu, Yanling Li, Hanling Deng, Ruizhong Rao
Effects of Atmospheric Coherent Time on Inverse Synthetic Aperture Ladar Imaging through Atmospheric Turbulence. Remote. Sens. 15 (11) (2023)
Hairui Hao, Bo Su, Shiwei Liu, Wenqin Zhuo
Radiative Effects and Costing Assessment of Arctic Sea Ice Albedo Changes. Remote. Sens. 15 (4) (2023)
Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. CoRR (2023)
Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training. CoRR (2023)
Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. ICML (2023)
Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. CoRR (2023)
Duc N. M. Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang
Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph. ICLR (2023)
Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy
REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training. ECML/PKDD (2) (2023)
Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. CoRR (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR (2022)
Chen Mu, Yunzhengmao Wang, Jiapei Zheng, Shiwei Liu, Keji Zhou, Shan Tang, Chixiao Chen, Qi Liu
A 200M-Query-Vector/s Computing-in-RRAM ADC-less k-Nearest-Neighbor Accelerator with Time-Domain Winner-Takes-All Circuits. AICAS (2022)
Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. CoRR (2022)
Jinping Niu, Xiang Yang, Shiwei Liu, Yanyan Li, Yi Guo
Energy-efficient adaptive virtual-MIMO transmissions for LoRa uplink systems. Digit. Signal Process. 127 (2022)
Shiwei Liu, Yanhua Sun, Yihua Kang
A Novel E-Exponential Stochastic Resonance Model and Weak Signal Detection Method for Steel Wire Rope. IEEE Trans. Ind. Electron. 69 (7) (2022)
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR (2022)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR (2022)
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
Dynamic Sparse Network for Time Series Classification: Learning What to "See". NeurIPS (2022)
Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao
Achieving Personalized Federated Learning with Sparse Local Models. CoRR (2022)
Jinlian Liu, Shiwei Liu, Xuguang Tang, Zhi Ding, Mingguo Ma, Pujia Yu
The Response of Land Surface Temperature Changes to the Vegetation Dynamics in the Yangtze River Basin. Remote. Sens. 14 (20) (2022)
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
Dynamic Sparse Network for Time Series Classification: Learning What to "see". CoRR (2022)
Zahra Atashgahi, Joost Pieterse, Shiwei Liu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
A brain-inspired algorithm for training highly sparse neural networks. Mach. Learn. 111 (12) (2022)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR (2022)
Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy, Decebal Constantin Mocanu, Shiwei Liu
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training. CoRR (2022)
Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance. CoRR (2022)
Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG (2022)
Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. CoRR (2022)
Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware. Neural Comput. Appl. 33 (7) (2021)
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR (2021)
Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy
Hierarchical Semantic Segmentation using Psychometric Learning. ACML (2021)
Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy
Hierarchical Semantic Segmentation using Psychometric Learning. CoRR (2021)
Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. CoRR (2021)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. NeurIPS (2021)
Shiwei Liu, Zihao Zhao, Yanhong Wang, Qiaosha Zou, Yiyun Zhang, C.-J. Richard Shi
Systolic-Array Deep-Learning Acceleration Exploring Pattern-Indexed Coordinate-Assisted Sparsity for Real-Time On-Device Speech Processing. ACM Great Lakes Symposium on VLSI (2021)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR (2021)
Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. ICML (2021)
Shiwei Liu, Iftitahu Ni'mah, Vlado Menkovski, Decebal Constantin Mocanu, Mykola Pechenizkiy
Efficient and effective training of sparse recurrent neural networks. Neural Comput. Appl. 33 (15) (2021)
Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
Selfish Sparse RNN Training. ICML (2021)
Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
Selfish Sparse RNN Training. CoRR (2021)
Shiwei Liu
Learning Sparse Neural Networks for Better Generalization. IJCAI (2020)
Chao Tan, Shiwei Liu, Jiabin Jia, Feng Dong
A Wideband Electrical Impedance Tomography System Based on Sensitive Bioimpedance Spectrum Bandwidth. IEEE Trans. Instrum. Meas. 69 (1) (2020)
Fulong Yan, Shiwei Liu, Nicola Calabretta
Network Performance Optimization with Real Time Traffic Prediction in Data Center Network. ECOC (2020)
Haozhe Zhu, Chixiao Chen, Shiwei Liu, Qiaosha Zou, Mingyu Wang, Lihua Zhang, Xiaoyang Zeng, C.-J. Richard Shi
A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (3) (2020)
Shiwei Liu, Haozhe Zhu, Chixiao Chen, Lihua Zhang, C.-J. Richard Shi
XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping. AICAS (2020)
Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
Topological Insights in Sparse Neural Networks. CoRR (2020)
Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
Topological Insights into Sparse Neural Networks. ECML/PKDD (3) (2020)
Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy
Intrinsically Sparse Long Short-Term Memory Networks. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shiwei Liu