Wei Song

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All published works

Action	Title	Year	Authors
+ PDF Chat	MaskedSpeech: Context-aware Speech Synthesis with Masking Strategy	2023	Yajie Zhang Wei Song Yanghao Yue Zhengchen Zhang Youzheng Wu Xiaodong He
+	Causal Graph Discovery from Self and Mutually Exciting Time Series	2023	Wei Song Yao Xie Christopher S. Josef Rishikesan Kamaleswaran
+	Causal Structural Learning from Time Series: A Convex Optimization Approach	2023	Wei Song Yao Xie
+	Maximal co-occurrence nonoverlapping sequential rule mining	2023	Yan Li Chengqi Zhang Jie Li Wei Song Zhenlian Qi Youxi Wu Xindong Wu
+	Robust Calibrate Proxy Loss for Deep Metric Learning	2023	Xinyue Li Jian Wang Wei Song Yanling Du Zhixiang Liu
+	Transfer Learning for Causal Effect Estimation	2023	Wei Song R. W. Moore Hanyu Zhang Yao Xie Rishikesan Kamaleswaran
+	A Privacy-Preserving Trajectory Synthesis Method Based on Vector Translation Invariance Supporting Traffic Constraints	2023	Zechen Liu Wei Song Yuhan Wang
+ PDF Chat	Singing Voice Synthesis with Vibrato Modeling and Latent Energy Representation	2022	Yingjie Song Wei Song Wei Zhang Zhengchen Zhang Dan Zeng Zhi Liu Yang Yu
+	TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot	2022	Wen Wang Shunda Hu Shiqiang Zhu Wei Song Zheyuan Lin Tianlei Jin Zonghao Mu Yuanhai Zhou
+	End-To-End Audiovisual Feature Fusion for Active Speaker Detection	2022	Fiseha B. Tesema Zheyuan Lin Shiqiang Zhu Wei Song Jason Gu Hong Wu
+	Singing Voice Synthesis with Vibrato Modeling and Latent Energy Representation	2022	Yingjie Song Wei Song Wei Zhang Zhengchen Zhang Dan Zeng Zhi Liu Yu Yang
+	Remapped Cache Layout: Thwarting Cache-Based Side-Channel Attacks with a Hardware Defense	2022	Wei Song Rui Hou Peng Liu Xiaoxin Li Peinan Li Lutan Zhao Xiaofei Fu Yifei Sun Dan Meng
+	MaskedSpeech: Context-aware Speech Synthesis with Masking Strategy	2022	Yajie Zhang Wei Song Yanghao Yue Zhengchen Zhang Youzheng Wu Xiaodong He
+	Inferring serial correlation with dynamic backgrounds	2021	Wei Song Yao Xie Dobromir Rahnev
+	Inferring Granger Causality from Irregularly Sampled Time Series.	2021	Wei Song Yao Xie Christopher S. Josef Rishikesan Kamaleswaran
+	FedProf: Optimizing Federated Learning with Dynamic Data Profiling.	2021	Wentai Wu Ligang He Weiwei Lin Rui Mao Chenlin Huang Wei Song
+	Inferring serial correlation with dynamic backgrounds	2021	Wei Song Yao Xie Dobromir Rahnev
+	Gated Transformer Networks for Multivariate Time Series Classification	2021	Minghao Liu Shengqi Ren Siyuan Ma Jiahui Jiao Yizhou Chen Zhiguang Wang Wei Song
+	Causal Graph Discovery from Self and Mutually Exciting Time Series	2021	Wei Song Yao Xie Christopher S. Josef Rishikesan Kamaleswaran
+ PDF Chat	Smart anomaly detection in sensor systems: A multi-perspective review	2020	Laura Erhan Maryleen Ndubuaku Mario Di Mauro Wei Song Min Chen Giancarlo Fortino Ovidiu Bagdasar Antonio Liotta
+	Goodness-of-Fit Test for Self-Exciting Processes.	2020	Wei Song Shixiang Zhu Minghe Zhang Yao Xie
+ PDF Chat	Goodness-of-Fit Test for Mismatched Self-Exciting Processes	2020	Wei Song Shixiang Zhu Minghe Zhang Yao Xie
+	Goodness-of-Fit Test for Mismatched Self-Exciting Processes	2020	Wei Song Shixiang Zhu Minghe Zhang Yao Xie
+	Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series	2015	Wei Song Zhiguang Wang Yangdong Ye Ming Fan
+	SOARAN: A Service-oriented Architecture for Radio Access Network Sharing in Evolving Mobile Networks	2015	Jun He Wei Song
+	Inverse Proportional Dependency Between the Parameter H and the Input Noise in Possibilistic Linear Model	2011	Hongwei Ge Shitong Wang Wei Song
+	Convolution Theorem and Asymptotic Efficiency in Two Side Truncated Distribution Families	2001	Wei Song Ping Cheng

Common Coauthors

Coauthor	Papers Together
Yao Xie	6
Yao Xie	4
Zhengchen Zhang	4
Rishikesan Kamaleswaran	4
Minghe Zhang	3
Shixiang Zhu	3
Christopher S. Josef	3
Zheyuan Lin	2
Xiaodong He	2
Yanghao Yue	2
Shiqiang Zhu	2
Zhi Liu	2
Zhiguang Wang	2
Dobromir Rahnev	2
Youzheng Wu	2
Zechen Liu	1
Shunda Hu	1
Yangdong Ye	1
Jiahui Jiao	1
Ovidiu Bagdasar	1
Laura Erhan	1
Xiaofei Fu	1
Rui Mao	1
Ligang He	1
Tianlei Jin	1
Yang Yu	1
Wei Zhang	1
Xindong Wu	1
Zhenlian Qi	1
Yuanhai Zhou	1
Fiseha B. Tesema	1
Weiwei Lin	1
Hongwei Ge	1
Min Chen	1
Peng Liu	1
Xinyue Li	1
Yuhan Wang	1
Jian Wang	1
Hong Wu	1
Yan Li	1
Wen Wang	1
Jie Li	1
Yajie Zhang	1
Yajie Zhang	1
Chengqi Zhang	1
Wei Zhang	1
Dan Zeng	1
Yu Yang	1
Yizhou Chen	1
Yifei Sun	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Point Spectra of Some Mutually Exciting Point Processes	1971	Alan G. Hawkes	3
+	A cluster process representation of a self-exciting process	1974	Alan G. Hawkes David Oakes	3
+	Spectra of some self-exciting and mutually exciting point processes	1971	Alan G. Hawkes	3
+	Assessment of Point Process Models for Earthquake Forecasting	2013	Andrew Bray Frederic Paik Schoenberg	2
+	Multidimensional Residual Analysis of Point Process Models for Earthquake Occurrences	2003	Frederic Paik Schoenberg	2
+ PDF Chat	Signal Recovery by Stochastic Optimization	2019	Anatoli Juditsky Arkadi Nemirovski	2
+ PDF Chat	A recursive point process model for infectious diseases	2018	Frederic Paik Schoenberg Marc Hoffmann Ryan J. Harrigan	2
+	On a new multivariate two-sample test	2003	Ludwig Baringhaus Carsten Franz	2
+	Spatially inhomogeneous background rate estimators and uncertainty quantification for nonparametric Hawkes point process models of earthquake occurrences	2016	Eric W. Fox Frederic Paik Schoenberg Joshua Seth Gordon	2
+ PDF Chat	On the Monotonicity, Log-Concavity, and Tight Bounds of the Generalized Marcum and Nuttall $Q$-Functions	2010	Yin Sun Árpád Baricz Shidong Zhou	2
+	A Stein–Papangelou Goodness-of-Fit Test for Point Processes	2019	Jiasen Yang Vinayak Rao Jennifer Neville	2
+	On Generalized Score Tests	1992	Dennis D. Boos	2
+	Power-law models for infectious disease spread	2014	Sebastian Meyer Leonhard Held	2
+	Wald, likelihood ratio, and Lagrange multiplier tests in econometrics	1984	Robert F. Engle	2
+	Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes	1988	Yosihiko Ogata	2
+	Self-exciting hurdle models for terrorist activity	2012	Michael D. Porter Gentry White	2
+	The asymptotic behaviour of maximum likelihood estimators for stationary point processes	1978	Yoshiko Ogata	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+ PDF Chat	The second-order analysis of stationary point processes	1976	B. D. Ripley	1
+	Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis	1986	C. F. Jeff Wu	1
+	Least squares estimation of a linear regression model with LR fuzzy response	2006	Renato Coppi Pierpaolo D’Urso Paolo Giordani Adriana Santoro	1
+	Possibilistic linear systems and their application to the linear regression model	1988	Hideo Tanaka Junzo Watada	1
+	LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection	2016	Pankaj Malhotra Anusha Ramakrishnan Gaurangi Anand Lovekesh Vig Puneet Agarwal Gautam Shroff	1
+	Nonlinear Regression on Cross-Section Data	1980	Halbert White	1
+ PDF Chat	On the conditions used to prove oracle results for the Lasso	2009	Sara A. van de Geer Peter Bühlmann	1
+	Maximum Likelihood Estimation of Misspecified Models	1983	Halbert White	1
+	A Critical Review of Recurrent Neural Networks for Sequence Learning	2015	Zachary C. Lipton John Berkowitz Charles Elkan	1
+ PDF Chat	Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction	2003	Gary M. Weiss Foster Provost	1
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	1
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	1
+	Evaluation of fuzzy linear regression models	1991	Dragan Savić Witold Pedrycz	1
+	A kernel test of goodness of fit	2016	Kacper Chwialkowski Heiko Strathmann Arthur Gretton	1
+	A linear regression model using triangular fuzzy number coefficients	1999	Kang K. Yen S. Ghoshray Gustavo Roig	1
+	Missing data problems in machine learning	2008	Benjamin M. Marlin	1
+	Restricted Eigenvalue Properties for Correlated Gaussian Designs	2010	Garvesh Raskutti Martin J. Wainwright Bin Yu	1
+ PDF Chat	Causal Network Inference Via Group Sparse Regularization	2011	Andrew Bolstad B.D. Van Veen Robert Nowak	1
+ PDF Chat	Asymptotic Properties of Non-Linear Least Squares Estimators	1969	Robert I. Jennrich	1
+ PDF Chat	Self-exciting point process models of civilian deaths in Iraq	2011	Erik Lewis George Mohler P. Jeffrey Brantingham Andrea L. Bertozzi	1
+ PDF Chat	Practical selection of SVM parameters and noise estimation for SVM regression	2003	Vladimir Cherkassky Yunqian Ma	1
+	Theoretical Choice of the Optimal Threshold for Possibilistic Linear Model With Noisy Input	2008	Hongwei Ge Fu-Lai Chung Shitong Wang	1
+ PDF Chat	Support vector fuzzy regression machines	2003	Dug Hun Hong Changha Hwang	1
+ PDF Chat	Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark	2015	Alexander Lavin Subutai Ahmad	1
+	Fuzzy data analysis by possibilistic linear models	1987	Hideo Tanaka	1
+ PDF Chat	Time Series: Theory and Methods	1992	Eric R. Ziegel Peter J. Brockwell Richard A. Davis	1
+	Performance bounds for parameter estimates of high-dimensional linear models with correlated errors	2016	Weibiao Wu Ying Wu	1
+	Multi-Scale Convolutional Neural Networks for Time Series Classification	2016	Zhicheng Cui Wenlin Chen Yixin Chen	1
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike	1
+	Local block bootstrap	2002	Efstathios Paparoditis Dimitris N. Politis	1
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	1
+ PDF Chat	The Jackknife and the Bootstrap for General Stationary Observations	1989	Hans R. Künsch	1