Xuefei Ning

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All published works

Action	Title	Year	Authors
+ PDF Chat	Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free	2024	Enming Zhang B.L. Xiao Jiayi Tang Qianli Ma Chang Zou Xuefei Ning Xuming Hu Linfeng Zhang
+ PDF Chat	FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models	2024	Tianyu Fu Tengxuan Liu Qinghao Han Guohao Dai Shengen Yan Huazhong Yang Xuefei Ning Yu Wang
+ PDF Chat	MBQ: Modality-Balanced Quantization for Large Vision-Language Models	2024	Shiyao Li Yingchun Hu Xuefei Ning Xihui Liu Ke Hong Xiaotao Jia Xiuhong Li Yaqi Yan Park Kyung Ran Guohao Dai
+ PDF Chat	Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching	2024	Enshu Liu Xuefei Ning Yu Wang Zinan Lin
+ PDF Chat	LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization	2024	Rui Xie Tianchen Zhao Zhihang Yuan Rui Wan Wenxi Gao Zhenhua Zhu Xuefei Ning Yu Wang
+ PDF Chat	Towards Accurate and Efficient Sub-8-Bit Integer Training	2024	Wenjin Guo Donglai Liu Weiying Xie Yunsong Li Xuefei Ning Zihan Meng Shulin Zeng Jie Lei Zhenman Fang Yu Wang
+ PDF Chat	Decouple-Then-Merge: Towards Better Training for Diffusion Models	2024	Qianli Ma Xuefei Ning Dongrui Liu Landong Li Linfeng Zhang
+ PDF Chat	Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding	2024	Yao Teng Han Shi Xian Liu Xuefei Ning Guohao Dai Yu Wang Zhenguo Li Xihui Liu
+ PDF Chat	CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios	2024	Luning Wang Shiyao Li Xuefei Ning Zhihang Yuan Shengen Yan Guohao Dai Yu Wang
+ PDF Chat	Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs	2024	Enshu Liu Junyi Zhu Zinan Lin Xuefei Ning Matthew B. Blaschko Shengen Yan Guohao Dai Huazhong Yang Yu Wang
+ PDF Chat	Can LLMs Learn by Teaching? A Preliminary Study	2024	Xuefei Ning Zifu Wang Shiyao Li Zinan Lin Peiran Yao Tianyu Fu Matthew B. Blaschko Guohao Dai Huazhong Yang Yu Wang
+ PDF Chat	DiTFastAttn: Attention Compression for Diffusion Transformer Models	2024	Zhihang Yuan Lu Pu Hanling Zhang Xuefei Ning Linfeng Zhang Tianchen Zhao Shengen Yan Guohao Dai Yu Wang
+ PDF Chat	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation	2024	Tianchen Zhao Tongcheng Fang Enshu Liu Wan Rui Widyadewi Soedarmadji S Y Li Zinan Lin Guohao Dai Shengen Yan Huazhong Yang
+ PDF Chat	MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization	2024	Tianchen Zhao Xuefei Ning Tongcheng Fang Enshu Liu Guyue Huang Zinan Lin Shengen Yan Guohao Dai Yu Wang
+ PDF Chat	HetHub: A Heterogeneous distributed hybrid training system for large-scale models	2024	Si Xu Zixiao Huang Yan Zeng Shengen Yan Xuefei Ning Haolin Ye Sipei Gu Chunsheng Shui Zhezheng Lin Hao Zhang
+ PDF Chat	DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis	2024	Yao Teng Yue Wu Han Shi Xuefei Ning Guohao Dai Yu Wang Zhenguo Li Xihui Liu
+ PDF Chat	A Survey on Efficient Inference for Large Language Models	2024	Zixuan Zhou Xuefei Ning Ke Hong Tianyu Fu Jiaming Xu Shiyao Li Yuming Lou Luning Wang Zhihang Yuan Xiuhong Li
+ PDF Chat	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better	2024	Enshu Liu Junyi Zhu Zinan Lin Xuefei Ning Matthew B. Blaschko Sergey Yekhanin Shengen Yan Guohao Dai Huazhong Yang Yu Wang
+	FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs	2024	Shulin Zeng J Liu Guohao Dai Xinhao Yang Tianyu Fu Hongyi Wang Wenheng Ma Hanbo Sun S Y Li Zixiao Huang
+ PDF Chat	FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models	2024	Lin Zhao Tianchen Zhao Zinan Lin Xuefei Ning Guohao Dai Huazhong Yang Yu Wang
+ PDF Chat	LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K	2024	Yuan Tao Xuefei Ning Zhou Dong Zhijie Yang Shiyao Li Minghui Zhuang Zheyue Tan Zhuyu Yao Dahua Lin Boxun Li
+ PDF Chat	THInImg: Cross-modal Steganography for Presenting Talking Heads in Images	2024	Lin Zhao Hongxuan Li Xuefei Ning Xinru Jiang
+	FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs	2024	Shulin Zeng Jun Liu Guohao Dai Xinhao Yang Tianyu Fu Hongyi Wang Wenheng Ma Hanbo Sun Shiyao Li Zixiao Huang
+ PDF Chat	Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection	2023	Tianchen Zhao Xuefei Ning Ke Hong Zhongyuan Qiu Pu Lu Yali Zhao Linfeng Zhang Lipu Zhou Guohao Dai Huazhong Yang
+ PDF Chat	Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”	2023	Junbo Zhao Xuefei Ning Enshu Liu Binxin Ru Zixuan Zhou Tianchen Zhao Chen Chen Jiajin Zhang Qingmin Liao Yu Wang
+	Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"	2023	Junbo Zhao Xuefei Ning Enshu Liu Binxin Ru Zixuan Zhou Tianchen Zhao Chen Chen Jiajin Zhang Qingmin Liao Yu Wang
+	OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models	2023	Enshu Liu Xuefei Ning Zinan Lin Huazhong Yang Yu Wang
+	Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection	2023	Tianchen Zhao Xuefei Ning Ke Hong Zhongyuan Qiu Pu Lu Yali Zhao Linfeng Zhang Lipu Zhou Guohao Dai Huazhong Yang
+	Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding	2023	Xuefei Ning Zinan Lin Zixuan Zhou Huazhong Yang Yu Wang
+	THInImg: Cross-modal Steganography for Presenting Talking Heads in Images	2023	Lin Zhao Hongxuan Li Xuefei Ning Xinru Jiang
+	A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models	2023	Enshu Liu Xuefei Ning Huazhong Yang Yu Wang
+ PDF Chat	CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance	2022	Tianchen Zhao Niansong Zhang Xuefei Ning He Wang Li Yi Yu Wang
+ PDF Chat	FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning	2022	Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang Hai Li Yiran Chen
+ PDF Chat	Exploring the Potential of Low-Bit Training of Convolutional Neural Networks	2022	Kai Zhong Xuefei Ning Guohao Dai Zhenhua Zhu Tianchen Zhao Shulin Zeng Yu Wang Huazhong Yang
+	CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance	2022	Tianchen Zhao Niansong Zhang Xuefei Ning He Wang Yi Li Yu Wang
+	Fault-Tolerant Deep Learning: A Hierarchical Perspective	2022	Cheng Liu Zhen Gao Siting Liu Xuefei Ning Huawei Li Xiaowei Li
+	CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS	2022	Zixuan Zhou Xuefei Ning Yi Cai Jiashu Han Yiping Deng Yuhan Dong Huazhong Yang Yu Wang
+ PDF Chat	CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS	2022	Zixuan Zhou Xuefei Ning Yi Cai Jiashu Han Yiping Deng Yuhan Dong Huazhong Yang Yu Wang
+ PDF Chat	Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward	2021	Weilin Liu Mu Ye Chao Yu Xuefei Ning Zhong Cao Yi Wu Shuang Liang Huazhong Yang Yu Wang
+ PDF Chat	FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture	2021	Xuefei Ning Guangjun Ge Wenshuo Li Zhenhua Zhu Yin Zheng Xiaohong Chen Zhen Gao Yu Wang Huazhong Yang
+ PDF Chat	Machine Learning for Electronic Design Automation: A Survey	2021	Guyue Huang Jingbo Hu Yifan He Jialong Liu Mingyuan Ma Zhaoyang Shen Juejian Wu Yuanfan Xu Hengrui Zhang Kai Zhong
+	FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning	2021	Minxue Tang Xuefei Ning Yitu Wang Yu Wang Yiran Chen
+	Machine Learning for Electronic Design Automation: A Survey	2021	Guyue Huang Jingbo Hu Yifan He Jialong Liu Mingyuan Ma Zhaoyang Shen Juejian Wu Yuanfan Xu Hengrui Zhang Kai Zhong
+	Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness	2021	Yi Cai Xuefei Ning Huazhong Yang Yu Wang
+	BoolNet: Minimizing The Energy Consumption of Binary Neural Networks	2021	Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang
+	Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward	2021	Liu Wei-lin Mu Ye Chao Yu Xuefei Ning Zhong Cao Yi Wu Shuang Liang Huazhong Yang Yu Wang
+	FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning	2021	Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang Hai Li Yiran Chen
+	Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities.	2020	Xuefei Ning Junbo Zhao Wenshuo Li Tianchen Zhao Huazhong Yang Yu Wang
+	Towards Lower Bit Multiplication for Convolutional Neural Network Training.	2020	Kai Zhong Tianchen Zhao Xuefei Ning Shulin Zeng Kaiyuan Guo Yu Wang Huazhong Yang
+	FTT-NAS: Discovering Fault-Tolerant Neural Architecture.	2020	Xuefei Ning Guangjun Ge Wenshuo Li Zhenhua Zhu Yin Zheng Xiaohong Chen Zhen Gao Yu Wang Huazhong Yang
+ PDF Chat	FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture	2020	Xuefei Ning Guangjun Ge Wenshuo Li Zhenhua Zhu Zheng Yin Xiaohong Chen Zhen Gao Yu Wang Huazhong Yang
+ PDF Chat	Nonparametric Topic Modeling with Neural Inference	2020	Xuefei Ning Yin Zheng Zhuxi Jiang Yu Wang Huazhong Yang Junzhou Huang Peilin Zhao
+	DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation	2020	Xuefei Ning Tianchen Zhao Wenshuo Li Peng Lei Yu Wang Huazhong Yang
+	A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS	2020	Xuefei Ning Yin Zheng Tianchen Zhao Yu Wang Huazhong Yang
+	Physical Adversarial Attack on Vehicle Detector in the Carla Simulator	2020	Tong Wu Xuefei Ning Wenshuo Li Ranran Huang Huazhong Yang Yu Wang
+ PDF Chat	A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS	2020	Xuefei Ning Yin Zheng Tianchen Zhao Yu Wang Huazhong Yang
+	BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures	2020	Tianchen Zhao Xuefei Ning Xiangsheng Shi Songyi Yang Shuang Liang Peng Lei Jianfei Chen Huazhong Yang Yu Wang
+	aw_nas: A Modularized and Extensible NAS framework	2020	Xuefei Ning Changcheng Tang Wenshuo Li Songyi Yang Tianchen Zhao Niansong Zhang Tianyi Lu Shuang Liang Huazhong Yang Yu Wang
+ PDF Chat	DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation	2020	Xuefei Ning Tianchen Zhao Wenshuo Li Peng Lei Yu Wang Huazhong Yang
+	Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach	2020	Xuefei Ning Junbo Zhao Wenshuo Li Tianchen Zhao Yin Zheng Huazhong Yang Yu Wang
+	FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture	2020	Xuefei Ning Guangjun Ge Wenshuo Li Zhenhua Zhu Yin Zheng Xiaohong Chen Zhen Gao Yu Wang Huazhong Yang
+	Evaluating Efficient Performance Estimators of Neural Architectures	2020	Xuefei Ning Changcheng Tang Wenshuo Li Zixuan Zhou Shuang Liang Huazhong Yang Yu Wang
+	Exploring the Potential of Low-bit Training of Convolutional Neural Networks	2020	Kai Zhong Xuefei Ning Guohao Dai Zhenhua Zhu Tianchen Zhao Shulin Zeng Yu Wang Huazhong Yang
+ PDF Chat	Adversarial Vision Challenge	2019	Wieland Brendel Jonas Rauber Alexey Kurakin Nicolas Papernot Behar Veliqi Sharada P. Mohanty Florian Laurent Marcel Salathé Matthias Bethge Yaodong Yu
+ PDF Chat	Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks	2018	Wenshuo Li Jincheng Yu Xuefei Ning Pengjun Wang Qi Wei Yu Wang Huazhong Yang
+	Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks	2018	Wenshuo Li Jincheng Yu Xuefei Ning Pengjun Wang Qi Wei Yu Wang Huazhong Yang
+	Nonparametric Topic Modeling with Neural Inference	2018	Xuefei Ning Yin Zheng Zhuxi Jiang Yu Wang Huazhong Yang Junzhou Huang

Common Coauthors

Coauthor	Papers Together
Huazhong Yang	38
Yu Wang	19
Tianchen Zhao	16
Shengen Yan	10
Yu Wang	9
Guohao Dai	8
Yin Zheng	8
Guohao Dai	8
Zinan Lin	7
Wenshuo Li	7
Shulin Zeng	6
Tianchen Zhao	6
Kai Zhong	5
Wenshuo Li	5
Zhenhua Zhu	5
Guohao Dai	4
Zhihang Yuan	4
Enshu Liu	4
Linfeng Zhang	4
Guangjun Ge	4
Xiaohong Chen	4
Enshu Liu	4
Guyue Huang	3
Shiyao Li	3
Zixuan Zhou	3
Yitu Wang	3
Shuang Liang	3
Yuhan Dong	3
Yiran Chen	3
Niansong Zhang	3
Yu Wang	3
Peng Lei	3
Yu Wang	3
Zhen Gao	3
Juejian Wu	2
Qingmin Liao	2
Tianyu Fu	2
Matthew B. Blaschko	2
Jiajin Zhang	2
Zhongyuan Qiu	2
Xinru Jiang	2
Mingyuan Ma	2
Binxin Ru	2
Junzhou Huang	2
Songyi Yang	2
Yuzhe Ma	2
Wenheng Ma	2
Wenshuo Li	2
Jialong Liu	2
Zhaoyang Shen	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	10
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	7
+	DARTS: Differentiable Architecture Search	2018	Hanxiao Liu Karen Simonyan Yiming Yang	7
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	6
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	6
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	5
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	5
+ PDF Chat	A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS	2020	Xuefei Ning Yin Zheng Tianchen Zhao Yu Wang Huazhong Yang	5
+ PDF Chat	Progressive Neural Architecture Search	2018	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Hua Wei Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	5
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	4
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	4
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	4
+	Neural Architecture Optimization	2018	Renqian Luo Fei Tian Tao Qin Enhong Chen Tie‐Yan Liu	4
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	4
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	3
+	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	Han Cai Ligeng Zhu Song Han	3
+	Robust Physical-World Attacks on Deep Learning Models	2017	Ivan Evtimov Kevin Eykholt Earlence Fernandes Tadayoshi Kohno Bo Li Atul Prakash Amir Rahmati Dawn Song	3
+	NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search	2020	Xuanyi Dong Yi Yang	3
+	Neural Architecture Search with Bayesian Optimisation and Optimal Transport	2018	Kirthevasan Kandasamy Willie Neiswanger Jeff Schneider Barnabás Póczos Eric P. Xing	3
+	Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS	2019	Shi Han Renjie Pi Hang Xu Zhenguo Li James T. Kwok Tong Zhang	3
+ PDF Chat	HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision	2019	Zhen Dong Zhewei Yao Amir Gholami Michael W. Mahoney Kurt Keutzer	3
+	Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples	2018	Anish Athalye Nicholas Carlini David Wagner	3
+	Efficient Neural Architecture Search via Parameter Sharing	2018	Hieu Pham Melody Y. Guan Barret Zoph Quoc V. Le Jeff Dean	3
+	Accelerating Neural Architecture Search using Performance Prediction	2018	Bowen Baker Otkrist Gupta Ramesh Raskar Nikhil Naik	3
+	Once-for-All: Train One Network and Specialize it for Efficient Deployment	2019	Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han	3
+	Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models	2017	Jonas Rauber Wieland Brendel Matthias Bethge	3
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	3
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	3
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	3
+	Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples	2016	Nicolas Papernot Patrick McDaniel Ian Goodfellow	3
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	3
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	3
+	Pruning Filters for Efficient ConvNets	2016	Hao Li Asim Kadav Igor Đurđanović Hanan Samet Hans Peter Graf	3
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	Federated Optimization:Distributed Optimization Beyond the Datacenter	2015	Jakub Konečný H. Brendan McMahan Daniel Ramage	2
+ PDF Chat	Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration	2019	Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang	2
+ PDF Chat	Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis	2019	Jieru Zhao Tingyuan Liang Sharad Sinha Wei Zhang	2
+	SNAS: Stochastic Neural Architecture Search	2018	Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin	2
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	2
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+ PDF Chat	Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm	2018	Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wei Liu Kwang‐Ting Cheng	2
+	Learning to Design Circuits	2018	Hanrui Wang Jiacheng Yang Hae-Seung Lee Song Han	2
+	MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning	2019	Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang Kwang‐Ting Cheng Jian Sun	2
+	A Learning-Based Recommender System for Autotuning Design Flows of Industrial High-Performance Processors	2019	Jihye Kwon Matthew M. Ziegler Luca P. Carloni	2
+ PDF Chat	Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning	2017	Tien-Ju Yang Yu‐Hsin Chen Vivienne Sze	2
+ PDF Chat	AMC: AutoML for Model Compression and Acceleration on Mobile Devices	2018	Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han	2
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	2
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	2