Wenjing Yang

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Novel Human-Based Meta-Heuristic Algorithm: Dragon Boat Optimization	2024	Xiang Li Long Lan Husam Lahza Shaowu Yang Shuihua Wang‎ Wenjing Yang Hengzhu Liu Yudong Zhang
+ PDF Chat	Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions	2024	Xinglin Chen Yishuai Cai Yunxin Mao Minglong Li Wenjing Yang Weixia Xu Ji Wang
+ PDF Chat	Verifying safety of neural networks from topological perspectives	2024	Zhen Liang Dejin Ren Xue Bai Ji Wang Wenjing Yang Wanwei Liu
+ PDF Chat	Tackling Noisy Labels With Network Parameter Additive Decomposition	2024	Jingyi Wang Xiaobo Xia Long Lan Xinghao Wu Jun Yu Wenjing Yang Bo Han Tongliang Liu
+	EAFP-Med: An efficient adaptive feature processing module based on prompts for medical image detection	2024	Xiang Li Long Lan Husam Lahza Shaowu Yang Shuihua Wang‎ Wenjing Yang Hengzhu Liu Yudong Zhang
+	UR4NNV: Neural Network Verification, Under-approximation Reachability Works!	2024	Zhen Liang Taoran Wu Ran Zhao Xue Bai Ji Wang Wenjing Yang Shaojun Deng Wanwei Liu
+	Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator	2023	Jing Zhao Heliang Zheng Chaoyue Wang Long Lan Wanrong Huang Wenjing Yang
+ PDF Chat	MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models	2023	Jing Zhao Heliang Zheng Chaoyue Wang Long Lan Wenjing Yang
+	Treatment Effect Estimation with Adjustment Feature Selection	2023	Haotian Wang Kun Kuang Haoang Chi Longqi Yang Mingyang Geng Wanrong Huang Wenjing Yang
+ PDF Chat	GANet: Goal Area Network for Motion Forecasting	2023	Mingkun Wang Xinge Zhu Changqian Yu Wei Li Yuexin Ma Ruochun Jin Xiaoguang Ren Dongchun Ren Mingxu Wang Wenjing Yang
+ PDF Chat	Recent Advances for Quantum Neural Networks in Generative Learning	2023	Jinkai Tian Xiaoyu Sun Yuxuan Du Shanshan Zhao Qing Liu Kaining Zhang Wei Yi Wanrong Huang Chaoyue Wang Xingyao Wu
+	MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models	2023	Jing Zhao Heliang Zheng Chaoyue Wang Long Lan Wenjing Yang
+	Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator	2023	Jing Zhao Heliang Zheng Chaoyue Wang Long Lan Wanrong Huang Wenjing Yang
+	Repairing Deep Neural Networks Based on Behavior Imitation	2023	Zhen Liang Taoran Wu Changyuan Zhao Wanwei Liu Xue Bai Wenjing Yang Ji Wang
+ PDF Chat	Safety Verification for Neural Networks Based on Set-Boundary Analysis	2023	Zhen Liang Dejin Ren Wanwei Liu Ji Wang Wenjing Yang Xue Bai
+	Verifying Safety of Neural Networks from Topological Perspectives	2023	Zhen Liang Dejin Ren Xue Bai Ji Wang Wenjing Yang Wanwei Liu
+	SODA: Robust Training of Test-Time Data Adaptors	2023	Zige Wang Yonggang Zhang Zhen Fang Long Lan Wenjing Yang Bo Han
+	Recent Advances for Quantum Neural Networks in Generative Learning	2022	Jinkai Tian Xiaoyu Sun Yuxuan Du Shanshan Zhao Qing Liu Kaining Zhang Wei Yi Wanrong Huang Chaoyue Wang Xingyao Wu
+	GANet: Goal Area Network for Motion Forecasting	2022	Mingkun Wang Xinge Zhu Changqian Yu Wei Li Yuexin Ma Ruochun Jin Xiaoguang Ren Dongchun Ren Mingxu Wang Wenjing Yang
+	Safety Verification for Neural Networks Based on Set-boundary Analysis	2022	Zhen Liang Dejin Ren Wanwei Liu Ji Wang Wenjing Yang Xue Bai
+	Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory	2022	Zhen Liang Changyuan Zhao Wanwei Liu Xue Bai Wenjing Yang Zhengbin Pang
+	A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation	2022	Wenjing Yang Ganghua Wang Jie Ding Yuhong Yang
+ PDF Chat	Conditional Variational Capsule Network for Open Set Recognition	2021	Yunrui Guo Guglielmo Camporese Wenjing Yang Alessandro Sperduti Lamberto Ballan
+ PDF Chat	TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation	2021	Haoang Chi Feng Liu Wenjing Yang Long Lan Tongliang Liu Bo Han William K. Cheung James T. Kwok
+	Demystifying Assumptions in Learning to Discover Novel Classes	2021	Haoang Chi Feng Liu Wenjing Yang Long Lan Tongliang Liu Bo Han Gang Niu Mingyuan Zhou Masashi Sugiyama
+	Network Clustering for Multi-task Learning	2021	Dehong Gao Wenjing Yang Huiling Zhou Wei Yi Yi Hu Hao Wang
+	Meta Discovery: Learning to Discover Novel Classes given Very Limited Data	2021	Haoang Chi Feng Liu Bo Han Wenjing Yang Long Lan Tongliang Liu Gang Niu Mingyuan Zhou Masashi Sugiyama
+	Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication	2021	Yuanyuan Bao Yanze Xu Na Xu Wenjing Yang Hongfeng Li Shicong Li Yongtao Jia Xiang Fei Jincheng He Ming Li
+	A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting	2021	Shenghua Hu Jing Wang Yujun Wang Lidong Yang Wenjing Yang
+	Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting	2021	Shenghua Hu Jing Wang Yujun Wang Wenjing Yang
+	Conditional Variational Capsule Network for Open Set Recognition	2021	Yunrui Guo Guglielmo Camporese Wenjing Yang Alessandro Sperduti Lamberto Ballan
+	TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation	2021	Haoang Chi Feng Liu Wenjing Yang Long Lan Tongliang Liu Bo Han William K. Cheung James T. Kwok
+	Deep Hierarchical Classification for Category Prediction in E-commerce System	2020	Dehong Gao Wenjing Yang Huiling Zhou Yi Wei Yi Hu Hao Wang
+	An Unified Intelligence-Communication Model for Multi-Agent System Part-I: Overview	2018	Bo Zhang Bin Chen Jinyu Yang Wenjing Yang Jian‐Kang Zhang

Common Coauthors

Coauthor	Papers Together
Long Lan	12
Wanwei Liu	7
Zhen Liang	7
Tongliang Liu	7
Chaoyue Wang	6
Bo Han	6
Xue Bai	6
Wanrong Huang	5
Ji Wang	5
Haoang Chi	5
Jing Zhao	4
Feng Liu	4
Dejin Ren	4
Heliang Zheng	3
Xinge Zhu	2
Hengzhu Liu	2
Ji Wang	2
Taoran Wu	2
Kaining Zhang	2
Mingxu Wang	2
Qing Liu	2
Yunrui Guo	2
Yi Hu	2
Gang Niu	2
Xiaoguang Ren	2
Mingyuan Zhou	2
Yudong Zhang	2
Shuihua Wang‎	2
Xiang Li	2
Husam Lahza	2
Xiaoyu Sun	2
Xingyao Wu	2
Huiling Zhou	2
Lamberto Ballan	2
Wei Yi	2
Yujun Wang	2
James T. Kwok	2
Masashi Sugiyama	2
Dacheng Tao	2
Shaowu Yang	2
Shenghua Hu	2
Guglielmo Camporese	2
Alessandro Sperduti	2
Dehong Gao	2
Changqian Yu	2
Min-Hsiu Hsieh	2
Jinkai Tian	2
Dongchun Ren	2
Changyuan Zhao	2
Jing Wang	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	6
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	2
+	Asymmetric Tri-training for Unsupervised Domain Adaptation	2017	Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada	2
+	Output Reachable Set Estimation and Verification for Multilayer Neural Networks	2018	Weiming Xiang Hoang-Dung Tran Taylor T. Johnson	2
+ PDF Chat	Algorithms for Verifying Deep Neural Networks	2020	Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark Barrett Mykel J. Kochenderfer	2
+	Over- and Underapproximating Reach Sets for Perturbed Delay Differential Equations	2020	Xue Bai Qiuye Wang Shenghua Feng Naijun Zhan	2
+ PDF Chat	DEPARA: Deep Attribution Graph for Deep Knowledge Transferability	2020	Jie Song Yixin Chen Jingwen Ye Xinchao Wang Chengchao Shen Feng Mao Mingli Song	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	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	2
+	Neural Discrete Representation Learning	2017	Aäron van den Oord Oriol Vinyals Koray Kavukcuoglu	2
+	Hello Edge: Keyword Spotting on Microcontrollers	2017	Yundong Zhang Naveen Suda Liangzhen Lai Vikas Chandra	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Temporal Convolution for Real-time Keyword Spotting on Mobile Devices	2019	Seungwoo Choi Seokjun Seo Beomjun Shin Hyeongmin Byun Martin Kersner Beomsu Kim Dongyoung Kim Sungjoo Ha	2
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+ PDF Chat	Dynamic Instance Normalization for Arbitrary Style Transfer	2020	Yongcheng Jing Xiao Liu Yukang Ding Xinchao Wang Errui Ding Mingli Song Shilei Wen	2
+ PDF Chat	A Survey of Multi-View Representation Learning	2018	Yingming Li Ming Yang Zhongfei Zhang	2
+	Introduction to general topology	1983	K. D. Joshi	2
+ PDF Chat	Reachability Analysis of a General Class of Neural Ordinary Differential Equations	2022	Diego Manzanas Lopez Patrick Musau Nathaniel Hamilton Taylor T. Johnson	2
+	Unsupervised Deep Embedding for Clustering Analysis	2015	Junyuan Xie Ross Girshick Ali Farhadi	2
+ PDF Chat	Deep Residual Learning for Small-Footprint Keyword Spotting	2018	Raphael Tang Jimmy Lin	2
+ PDF Chat	Relaxation in a Completely Integrable Many-Body Quantum System: An<i>Ab Initio</i>Study of the Dynamics of the Highly Excited States of 1D Lattice Hard-Core Bosons	2007	Marcos Rigol Vanja Dunjko Vladimir Yurovsky Maxim Olshanii	1
+ PDF Chat	Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies	2015	Peter C. Austin Elizabeth A. Stuart	1
+	A quantum–quantum Metropolis algorithm	2012	Man‐Hong Yung Alán Aspuru‐Guzik	1
+ PDF Chat	Solving the fermion sign problem in quantum Monte Carlo simulations by Majorana representation	2015	Zi-Xiang Li Yi‐Fan Jiang Hong Yao	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen	1
+ PDF Chat	Average-Case Complexity Versus Approximate Simulation of Commuting Quantum Computations	2016	Michael J. Bremner Ashley Montanaro Dan Shepherd	1
+ PDF Chat	Quantum Support Vector Machine for Big Data Classification	2014	Patrick Rebentrost Masoud Mohseni Seth Lloyd	1
+	Principles of mathematical analysis	1964	Walter Rudin	1
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+ PDF Chat	Temporally unstructured quantum computation	2009	Dan Shepherd Michael J. Bremner	1
+	A Practical Quantum Instruction Set Architecture	2016	Robert Smith Michael J. Curtis William J. Zeng	1
+	The Calculus of M-Estimation	2002	Leonard A. Stefanski Dennis D. Boos	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+ PDF Chat	Classification with Noisy Labels by Importance Reweighting	2015	Tongliang Liu Dacheng Tao	1
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	1
+ PDF Chat	Demonstration of a small programmable quantum computer with atomic qubits	2016	Shantanu Debnath Norbert Linke Caroline Figgatt K. A. Landsman Kenneth Wright C. Monroe	1
+	Semi-Supervised Learning with Generative Adversarial Networks	2016	Augustus Odena	1
+ PDF Chat	14-Qubit Entanglement: Creation and Coherence	2011	Thomas Monz Philipp Schindler Julio T. Barreiro Michael Chwalla Daniel Nigg W. A. Coish Maximilian Harlander W. Hänsel Markus Hennrich R. Blatt	1
+	Importance Weighted Autoencoders	2015	Yuri Burda Roger Grosse Ruslan Salakhutdinov	1
+	Trace Norm Regularised Deep Multi-Task Learning	2016	Yongxin Yang Timothy M. Hospedales	1
+ PDF Chat	Permutation invariant training of deep models for speaker-independent multi-talker speech separation	2017	Dong Yu Morten Kolbæk Zheng‐Hua Tan Jesper Jensen	1
+	On a Simple and Efficient Approach to Probability Distribution Function Aggregation	2016	Mengya Cai Yingzi Lin Bin Han Changjun Liu Wenjun Zhang	1
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	1
+ PDF Chat	Sparse Representation-Based Open Set Recognition	2016	He Zhang Vishal M. Patel	1
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	1