Xin Dong

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All published works

Action	Title	Year	Authors
+ PDF Chat	Aligning Generalisation Between Humans and Machines	2024	Filip Ilievski Barbara Hammer Frank van Harmelen Benjamin Paaßen Sascha Saralajew Ute Schmid Michael Biehl Marianna Bolognesi Xin Dong Kiril Gashteovski
+ PDF Chat	Are Large Language Models a Good Replacement of Taxonomies?	2024	Yushi Sun Hao Xin Kai Sun Yifan Xu Xiao Yang Xin Dong Nan Tang Lei Chen
+ PDF Chat	VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers	2024	Jun Zheng Fuwei Zhao Youjiang Xu Xin Dong Xiaodan Liang
+ PDF Chat	GDOD	2022	Xin Dong Ruize Wu Chao Xiong Hai Li Lei Cheng Yong He Shiyou Qian Jian Cao Linjian Mo
+ PDF Chat	SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems	2022	Xin Dong B. De Salvo Meng Li Chiao Liu Zhongnan Qu H. T. Kung Ziyun Li
+ PDF Chat	Dressing in the Wild by Watching Dance Videos	2022	Xin Dong Fuwei Zhao Zhenyu Xie Xijin Zhang Daniel K. Du Min Zheng Xiang Long Xiaodan Liang Shuicheng Yan
+ PDF Chat	SphereFed: Hyperspherical Federated Learning	2022	Xin Dong Sai Qian Zhang Ang Li H. T. Kung
+ PDF Chat	MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing	2021	Yuhang Li Feng Zhu Ruihao Gong Mingzhu Shen Xin Dong Fengwei Yu Shaoqing Lu Shi Gu
+	Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion	2021	Xin Dong Hongxu Yin Jose M. Álvarez Jan Kautz Pavlo Molchanov
+	Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy.	2021	Xin Dong Junfeng Guo Wei-Te Ting H. T. Kung
+ PDF Chat	Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks	2021	Xinyang Zhang Chenwei Zhang Xin Dong Jingbo Shang Jiawei Han
+	A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration	2021	Yuhang Li Shikuang Deng Xin Dong Ruihao Gong Shi Gu
+	AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding	2021	Jun Yan Nasser Zalmout Yan Liang Christan Grant Xiang Ren Xin Dong
+	Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases	2021	Gerhard Weikum Xin Dong Simon Razniewski Fabian M. Suchanek
+	Fast query-by-example speech search using separable model	2021	Yuguang Yang Yu Pan Xin Dong Minqiang Xu
+ PDF Chat	Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification	2020	Xin Dong Yaxin Zhu Yupeng Zhang Zuohui Fu Dongkuan Xu Sen Yang Gerard de Melo
+	Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks	2020	Yuhang Li Xin Dong Wei Wang
+ PDF Chat	ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs	2020	Zuohui Fu Yikun Xian Shijie Geng Yingqiang Ge Yuting Wang Xin Dong Guang Wang Gerard de Melo
+ PDF Chat	RTN: Reparameterized Ternary Network	2020	Yuhang Li Xin Dong Sai Qian Zhang Haoli Bai Yuanpeng Chen Wei Wang
+ PDF Chat	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation	2020	Xin Dong Jingchao Ni Wei Cheng Zhengzhang Chen Bo Zong Dongjin Song Yanchi Liu Haifeng Chen Gerard de Melo
+	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation	2020	Xin Dong Jingchao Ni Wei Cheng Zhengzhang Chen Bo Zong Dongjin Song Yanchi Liu Haifeng Chen Gerard de Melo
+	ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs	2020	Zuohui Fu Yikun Xian Shijie Geng Yingqiang Ge Yuting Wang Xin Dong Guang Wang Gerard de Melo
+	Efficient Bitwidth Search for Practical Mixed Precision Neural Network	2020	Yuhang Li Wei Wang Haoli Bai Ruihao Gong Xin Dong Fengwei Yu
+	Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data	2020	Yaqing Wang Yifan Xu Xian Li Xin Dong Jing Gao
+	Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification	2020	Xin Dong Yaxin Zhu Yupeng Zhang Zuohui Fu Dongkuan Xu Sen Yang Gerard de Melo
+	MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing	2020	Yuhang Li Feng Zhu Ruihao Gong Mingzhu Shen Xin Dong Fengwei Yu Shaoqing Lu Shi Gu
+	Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks	2019	Yuhang Li Xin Dong Wei Wang
+ PDF Chat	Pose2Seg: Detection Free Human Instance Segmentation	2019	Song–Hai Zhang Ruilong Li Xin Dong Paul L. Rosin Zixi Cai Han Xi Dingcheng Yang Haozhi Huang Shi‐Min Hu
+ PDF Chat	Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?	2019	Shilin Zhu Xin Dong Hao Su
+	Full-stack Optimization for Accelerating CNNs with FPGA Validation	2019	Bradley McDanel Sai Qian Zhang H. T. Kung Xin Dong
+	RTN: Reparameterized Ternary Network	2019	Yuhang Li Xin Dong Sai Qian Zhang Haoli Bai Yuanpeng Chen Wei Wang
+	Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks	2019	Yuhang Li Xin Dong Wei Wang
+	OpenTag	2018	Guineng Zheng Subhabrata Mukherjee Xin Dong Li Fei-Fei
+	Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?	2018	Shilin Zhu Xin Dong Hao Su
+	Pose2Seg: Detection Free Human Instance Segmentation	2018	Song–Hai Zhang Ruilong Li Xin Dong Paul L. Rosin Zixi Cai Han Xi Dingcheng Yang Haozhi Huang Shi‐Min Hu
+	What and Where: A Context-based Recommendation System for Object Insertion	2018	Song–Hai Zhang Zhengping Zhou Bin Liu Xin Dong Dun Liang Peter Hall Shi‐Min Hu
+	A Main/Subsidiary Network Framework for Simplifying Binary Neural Network	2018	Yinghao Xu Xin Dong Yudian Li Hao Su
+	Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon	2017	Xin Dong Shangyu Chen Sinno Jialin Pan
+	Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon	2017	Xin Dong Shangyu Chen Sinno Jialin Pan
+	Scaling up Copy Detection	2015	Xian Li Xin Dong Kenneth B. Lyons Weiyi Meng Divesh Srivastava

Common Coauthors

Coauthor	Papers Together
Gerard de Melo	6
Zuohui Fu	4
Yuhang Li	4
Ruihao Gong	4
H. T. Kung	4
Sai Qian Zhang	4
Wei Wang	3
Song–Hai Zhang	3
Haoli Bai	3
Fengwei Yu	3
Shi‐Min Hu	3
Shi Gu	3
Shilin Zhu	2
Feng Zhu	2
Fuwei Zhao	2
Haozhi Huang	2
Dingcheng Yang	2
Yanchi Liu	2
Bo Zong	2
Yuting Wang	2
Shangyu Chen	2
Sinno Jialin Pan	2
Yuhang Li	2
Haifeng Chen	2
Yaxin Zhu	2
Yingqiang Ge	2
Shijie Geng	2
Ruilong Li	2
Yupeng Zhang	2
Guang Wang	2
Yuanpeng Chen	2
Shaoqing Lu	2
Paul L. Rosin	2
Mingzhu Shen	2
Zixi Cai	2
Jingchao Ni	2
Dongjin Song	2
Dongkuan Xu	2
Xiaodan Liang	2
Hao Su	2
Sen Yang	2
Yikun Xian	2
Zhengzhang Chen	2
Yuhang Li	2
Wei Cheng	2
Xinyang Zhang	1
Yuguang Yang	1
Xiang Ren	1
Bradley McDanel	1
Zhongnan Qu	1

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	18
+	Trained Ternary Quantization	2016	Chenzhuo Zhu Song Han Huizi Mao William J. Dally	10
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	9
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	7
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	7
+	Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights	2017	Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen	6
+	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	6
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	5
+	Model compression via distillation and quantization	2018	Antonio Polino Razvan Pascanu Dan Alistarh	5
+	PACT: Parameterized Clipping Activation for Quantized Neural Networks	2018	Jungwook Choi Zhuo Wang Swagath Venkataramani Pierce Chuang Vijayalakshmi Srinivasan Kailash Gopalakrishnan	5
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	5
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	5
+	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	5
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	4
+ 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	4
+ PDF Chat	Designing Network Design Spaces	2020	Ilija Radosavovic Raj Prateek Kosaraju Ross Girshick Kaiming He Piotr Dollár	4
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	4
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	4
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	4
+	Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon	2017	Xin Dong Shangyu Chen Sinno Jialin Pan	4
+ 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	4
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	4
+	Ternary Weight Networks	2016	Fengfu Li Bin Liu	4
+ PDF Chat	Deep Learning with Low Precision by Half-Wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	4
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	4
+ PDF Chat	Reinforcement Knowledge Graph Reasoning for Explainable Recommendation	2019	Yikun Xian Zuohui Fu S. Muthukrishnan Gerard de Melo Yongfeng Zhang	3
+ PDF Chat	ZeroQ: A Novel Zero Shot Quantization Framework	2020	Yaohui Cai Zhewei Yao Zhen Dong Amir Gholami Michael W. Mahoney Kurt Keutzer	3
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jeffrey Dean	3
+ PDF Chat	Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion	2020	Hongxu Yin Pavlo Molchanov Jose M. Álvarez Zhizhong Li Arun Mallya Derek Hoiem Niraj K. Jha Jan Kautz	3
+ PDF Chat	The Knowledge Within: Methods for Data-Free Model Compression	2020	Matan Haroush Itay Hubara Elad Hoffer Daniel Soudry	3
+ PDF Chat	Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks	2019	Ruihao Gong Xianglong Liu Shenghu Jiang Tianxiang Li Peng Hu Jiazhen Lin Fengwei Yu Junjie Yan	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	3
+	Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks	2019	Ruihao Gong Xianglong Liu Shenghu Jiang Tianxiang Li Peng Hu Jiazhen Lin Fengwei Yu Junjie Yan	3
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	3
+	Bidirectional LSTM-CRF Models for Sequence Tagging	2015	Zhiheng Huang Wei Xu Kai Yu	3
+	Weight Normalization based Quantization for Deep Neural Network Compression	2019	Wen-Pu Cai Wu-Jun Li	3
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	3
+	Compressing Deep Convolutional Networks using Vector Quantization	2014	Yunchao Gong Liu Liu Ming–Hsuan Yang Lubomir Bourdev	3
+	Quantizing deep convolutional networks for efficient inference: A whitepaper	2018	Raghuraman Krishnamoorthi	3
+	DARTS: Differentiable Architecture Search	2018	Hanxiao Liu Karen Simonyan Yiming Yang	3
+	Deep Learning with Low Precision by Half-wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	3
+ PDF Chat	LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks	2018	Dongqing Zhang Jiaolong Yang Dongqiangzi Ye Gang Hua	3
+	Deep Learning with Limited Numerical Precision	2015	Suyog Gupta Ankur Agrawal Kailash Gopalakrishnan Pritish Narayanan	3
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+	Training Quantized Nets: A Deeper Understanding	2017	Hao Li Soham De Zheng Xu Christoph Studer Hanan Samet Tom Goldstein	3
+ PDF Chat	Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss	2019	Sangil Jung Changyong Son Seohyung Lee Jinwoo Son Jae‐Joon Han Youngjun Kwak Sung Ju Hwang Changkyu Choi	3
+ PDF Chat	Fully Convolutional Instance-Aware Semantic Segmentation	2017	Yi Li Haozhi Qi Jifeng Dai Xiangyang Ji Yichen Wei	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2