Di Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Congestion-Approximators from the Bottom Up	2025	Jason Li Satish Rao Di Wang
+ PDF Chat	Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation	2024	Xianghui Yang Huiwen Shi B. Zhang Fan Yang Jiacheng Wang Hongxu Zhao Xinhai Liu Xinzhou Wang Qingxiang Lin Jiaao Yu
+ PDF Chat	The Average-Value Allocation Problem	2024	Kshipra Bhawalkar Zhe Feng Anupam Gupta Aranyak Mehta David Wajc Di Wang
+ PDF Chat	Deep Reinforcement Learning for Sequential Combinatorial Auctions	2024	Sai Srivatsa Ravindranath Zhe Feng Di Wang Manzil Zaheer Aranyak Mehta David C. Parkes
+ PDF Chat	Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning	2024	Binhao Ma Tianhang Zheng Hongsheng Hu Di Wang Shuo Wang Zhongjie Ba Zhan Qin Kui Ren
+ PDF Chat	Privacy Amplification via Shuffling: Unified, Simplified, and Tightened	2024	Shaowei Wang Yun Peng Jin Li Zikai Alex Wen Zhipeng Li Shiyu Yu Di Wang Wei Yang
+ PDF Chat	Multi-hop Question Answering under Temporal Knowledge Editing	2024	Keyuan Cheng Gang Lin Haoyang Fei Yuxuan zhai Lu Yu Muhammad Ali Lijie Hu Di Wang
+ PDF Chat	Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning	2024	Zhongzhi Chen Xingwu Sun Xianfeng Jiao Fengzong Lian Zhanhui Kang Di Wang Cheng‐Zhong Xu
+ PDF Chat	Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks	2024	Chenyang Qiu Guoshun Nan Tianyu Xiong Wendi Deng Di Wang Zhiyang Teng Lijuan Sun Qimei Cui Xiaofeng Tao
+ PDF Chat	How Does Selection Leak Privacy: Revisiting Private Selection and Improved Results for Hyper-parameter Tuning	2024	Zihang Xiang Chenglong Wang Di Wang
+ PDF Chat	Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models	2024	Zihao Luo Xilie Xu Feng Liu Yun Sing Koh Di Wang Jingfeng Zhang
+ PDF Chat	Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN	2024	Washim Uddin Mondal Veni Goyal Satish V. Ukkusuri Goutam Das Di Wang Mohamed‐Slim Alouini Vaneet Aggarwal
+ PDF Chat	Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN	2024	Washim Uddin Mondal Veni Goyal Satish V. Ukkusuri Goutam Das Di Wang Mohamed‐Slim Alouini Vaneet Aggarwal
+	Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)	2024	Muhammad Asif Ali Yan Hu Jianbin Qin Di Wang
+	Communication Efficient and Provable Federated Unlearning	2024	Youming Tao Chenglong Wang Miao Pan Dongxiao Yu Xiuzhen Cheng Di Wang
+ PDF Chat	Communication Efficient and Provable Federated Unlearning	2024	Youming Tao Chenglong Wang Miao Pan Dongxiao Yu Xiuzhen Cheng Di Wang
+	Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI	2023	Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao
+	Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue Problem	2023	Lijie Hu Zihang Xiang Jiabin Liu Di Wang
+ PDF Chat	Quantizing Heavy-Tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery	2023	Junren Chen Michael K. Ng Di Wang
+ PDF Chat	Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm	2023	Di Wang Jiahao Ding Lijie Hu Zejun Xie Miao Pan Jinhui Xu
+ PDF Chat	SEAT: Stable and Explainable Attention	2023	Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang
+ PDF Chat	Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer	2023	Zhixiang Su Di Wang Chunyan Miao Lizhen Cui
+ PDF Chat	Practical Differentially Private and Byzantine-resilient Federated Learning	2023	Zihang Xiang Tianhao Wang Wanyu Lin Di Wang
+ PDF Chat	High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization	2023	Junren Chen Chenglong Wang Michael K. Ng Di Wang
+	Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI	2023	Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao
+	Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer	2023	Zhixiang Su Di Wang Chunyan Miao Lizhen Cui
+	Loss-Controlling Calibration for Predictive Models	2023	Di Wang Junzhi Shi Pingping Wang Shuo Zhuang Hongyue Li
+	Differentially Private Natural Language Models: Recent Advances and Future Directions	2023	Lijie Hu Ivan Habernal Lei Shen Di Wang
+	Quantum Heavy-tailed Bandits	2023	Yulian Wu Chaowen Guan Vaneet Aggarwal Di Wang
+	Robust Budget Pacing with a Single Sample	2023	Santiago Balseiro Rachitesh Kumar Vahab Mirrokni Balasubramanian Sivan Di Wang
+	On Private and Robust Bandits	2023	Yulian Wu Xingyu Zhou Youming Tao Di Wang
+	Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning	2023	Bhargav Ganguly Yulian Wu Di Wang Vaneet Aggarwal
+	Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes	2023	Di Wang Yao Wang Shaojie Tang Shao-Bo Lin
+	Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores	2023	Di Wang Wen Ye Ji Zhu Gongjun Xu Weijing Tang Matthew Zawistowski Lars G. Fritsche Kevin He
+	Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI	2023	Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao
+	Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited	2023	Jinyan Su Changhong Zhao Di Wang
+	Inductive Graph Unlearning	2023	Chenglong Wang Mengdi Huai Di Wang
+	Practical Differentially Private and Byzantine-resilient Federated Learning	2023	Zihang Xiang Tianhao Wang Wanyu Lin Di Wang
+	Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks	2023	Puyu Wang Yunwen Lei Di Wang Yiming Ying Ding‐Xuan Zhou
+	Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards	2023	Yulian Wu Xingyu Zhou Sayak Ray Chowdhury Di Wang
+	DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text	2023	Jinyan Su Terry Yue Zhuo Di Wang Preslav Nakov
+	Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos	2023	Di Wang Xiaotong Liu Shao-Bo Lin Ding‐Xuan Zhou
+	Fake News Detectors are Biased against Texts Generated by Large Language Models	2023	Jinyan Su Terry Yue Zhuo Jonibek Mansurov Di Wang Preslav Nakov
+	Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model	2023	Liyang Zhu Meng Ding Vaneet Aggarwal Jinhui Xu Di Wang
+	Differentially Private Non-convex Learning for Multi-layer Neural Networks	2023	Hanpu Shen Chenglong Wang Zihang Xiang Yiming Ying Di Wang
+	GRI: Graph-based Relative Isomorphism of Word Embedding Spaces	2023	Muhammad Asif Ali Yan Hu Jianbin Qin Di Wang
+	GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings	2023	Muhammad Asif Ali Maha Alshmrani Jianbin Qin Yan Hu Di Wang
+	Preserving Node-level Privacy in Graph Neural Networks	2023	Zihang Xiang Tianhao Wang Di Wang
+	GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings	2023	Muhammad Asif Ali Maha Alshmrani Jianbin Qin Yan Hu Di Wang
+	DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text	2023	Jinyan Su Terry Yue Zhuo Di Wang Preslav Nakov
+	GRI: Graph-based Relative Isomorphism of Word Embedding Spaces	2023	Muhammad Sarmad Ali Yan Hu Jianbin Qin Di Wang
+	Anchoring Path for Inductive Relation Prediction in Knowledge Graphs	2023	Zhixiang Su Di Wang Chunyan Miao Lizhen Cui
+	Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks	2023	Chenyang Qiu Guoshun Nan Tianyu Xiong Wendi Deng Di Wang Zhiyang Teng Lijuan Sun Qimei Cui Xiaofeng Tao
+	Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning	2023	Zhongzhi Chen Xingwu Sun Xianfeng Jiao Fengzong Lian Zhanhui Kang Di Wang Cheng‐Zhong Xu
+	High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data	2022	Lijie Hu Shuo Ni Hanshen Xiao Di Wang
+ PDF Chat	A cross‐validation statistical framework for asymmetric data integration	2022	Lam Tran Kevin He Di Wang Hui Jiang
+	2-norm Flow Diffusion in Near-Linear Time	2022	Li Chen Richard Peng Di Wang
+	Differentially Private $\ell_1$-norm Linear Regression with Heavy-tailed Data	2022	Di Wang Jinhui Xu
+	High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization	2022	Junren Chen Chenglong Wang Michael K. Ng Di Wang
+	Prior-Independent Auctions for Heterogeneous Bidders	2022	Guru Guruganesh Aranyak Mehta Di Wang Kangning Wang
+	Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies	2022	Di Wang Nicolas Honnorat Peter T. Fox Kerstin Ritter Simon B. Eickhoff Sudha Seshadri Mohamad Habes
+	C-P Map: A Novel Evaluation Toolkit for Speaker Verification	2022	Lantian Li Di Wang Wenqiang Du Dong Wang
+	Online Bidding Algorithms for Return-on-Spend Constrained Advertisers	2022	Zhe Feng Swati Padmanabhan Di Wang
+	Pay Attention to Hard Trials	2022	Lantian Li Di Wang Dong Wang
+	Truthful Generalized Linear Models	2022	Qiu Yuan Jinyan Liu Di Wang
+	On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data	2022	Jinyan Su Jinhui Xu Di Wang
+	On Stability and Generalization of Bilevel Optimization Problem	2022	Meng Ding Mingxi Lei Yunwen Lei Di Wang Jinhui Xu
+	1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)	2022	Hao Wang Wanyu Lin Hao He Di Wang Chengzhi Mao Muhan Zhang
+	SEAT: Stable and Explainable Attention	2022	Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang
+	Levi-type Schur-Sergeev duality for general linear super groups	2022	Di Wang
+	Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery	2022	Junren Chen Michael K. Ng Di Wang
+	VDPC: Variational Density Peak Clustering Algorithm	2021	Yizhang Wang Di Wang You Zhou Chai Quek Xiaofeng Zhang
+	VDPC: Variational Density Peak Clustering Algorithm	2021	Yizhang Wang Di Wang You Zhou Chai Quek Xiaofeng Zhang
+	Faster Rates of Differentially Private Stochastic Convex Optimization.	2021	Jinyan Su Di Wang
+	Robust Estimation of High-Dimensional Vector Autoregressive Models	2021	Di Wang Ruey S. Tsay
+ PDF Chat	CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts	2021	Peixiang Zhong Di Wang Pengfei Li Chen Zhang Hao Wang Chunyan Miao
+ PDF Chat	Differentially private high dimensional sparse covariance matrix estimation	2021	Di Wang Jinhui Xu
+	Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset	2021	Di Wang Wen Ye Kevin He
+	High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling	2021	Di Wang Yao Zheng Guodong Li
+	UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction	2021	Huanqin Wu Wei Liu Lei Li Dan Nie Tao Chen Feng Zhang Di Wang
+	Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits	2021	Youming Tao Yulian Wu Peng Zhao Di Wang
+	$\ell_2$-norm Flow Diffusion in Near-Linear Time	2021	Li Chen Richard Peng Di Wang
+	UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction	2021	Huanqin Wu Wei Liu Lei Li Dan Nie Tao Chen Feng Zhang Di Wang
+	Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning	2021	Soobee Lee Minindu Weerakoon Jonghyun Choi Minjia Zhang Di Wang Myeongjae Jeon
+	Fed2: Feature-Aligned Federated Learning	2021	Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen
+	A Study on Decoupled Probabilistic Linear Discriminant Analysis	2021	Di Wang Lantian Li Hongzhi Yu Dong Wang
+	Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network	2021	Muhammad F. A. Chaudhary Sarah E. Gerard Di Wang Gary E. Christensen Christopher B. Cooper Joyce Schroeder Eric A. Hoffman Joseph M. Reinhardt
+	Faster Rates of Private Stochastic Convex Optimization	2021	Jinyan Su Lijie Hu Di Wang
+	Rate-Optimal Robust Estimation of High-Dimensional Vector Autoregressive Models	2021	Di Wang Ruey S. Tsay
+	Kullback-Leibler-Based Discrete Failure Time Models for Integration of Published Prediction Models with New Time-To-Event Dataset	2021	Di Wang Wen Ye Randall Sung Hui Jiang Jeremy M. G. Taylor Lisa Ly Kevin He
+	High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data	2021	Lijie Hu Shuo Ni Hanshen Xiao Di Wang
+	Incorporating Surprisingly Popular Algorithm and Euclidean Distance-based Adaptive Topology into PSO	2021	Xuan Wu Jizong Han Di Wang Pengyue Gao Quanlong Cui Liang Chen Yanchun Liang Han Huang Heow Pueh Lee Chunyan Miao
+	Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy	2020	Di Wang Marco Gaboardi Adam Smith Jinhui Xu
+ PDF Chat	Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy	2020	Di Wang Marco Gaboardi Adam Smith Jinhui Xu
+ PDF Chat	Robust high dimensional expectation maximization algorithm via trimmed hard thresholding	2020	Di Wang Xiangyu Guo Shi Li Jinhui Xu
+ PDF Chat	On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data	2020	Di Wang Hanshen Xiao Srini Devadas Jinhui Xu
+	Global stability of rarefaction waves for the 1D compressible micropolar fluid model with density-dependent viscosity and microviscosity coefficients	2020	Zhengzheng Chen Di Wang
+	On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data	2020	Di Wang Hanshen Xiao Srinivas Devadas Jinhui Xu
+ PDF Chat	Estimating stochastic linear combination of non-linear regressions efficiently and scalably	2020	Di Wang Xiangyu Guo Chaowen Guan Shi Li Jinhui Xu
+ PDF Chat	Tight lower bound of sparse covariance matrix estimation in the local differential privacy model	2020	Di Wang Jinhui Xu
+	Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness	2020	Tianhang Zheng Di Wang Baochun Li Jinhui Xu
+	Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training	2020	Goran Žužić Di Wang Aranyak Mehta D. Sivakumar
+	Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably	2020	Di Wang Xiangyu Guo Chaowen Guan Shi Li
+	On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data	2020	Di Wang Hanshen Xiao Srini Devadas Jinhui Xu
+	Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy	2020	Di Wang Marco Gaboardi Adam Smith Jinhui Xu
+	Comparative studies between the Bayesian estimation and the maximum likelihood estimation of the parameter of the uniform distribution	2020	Bao Xu Di Wang Qi He
+	CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts	2020	Peixiang Zhong Di Wang Pengfei Li Chen Zhang Hao Wang Chunyan Miao
+	Comparative studies between the Bayesian estimation and the maximum likelihood estimation of the parameter of the uniform distribution	2020	Xu Bao Di Wang Qi He
+ PDF Chat	Principal Component Analysis in the local differential privacy model	2019	Di Wang Jinhui Xu
+	Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data	2019	Di Wang Lijie Hu Huanyu Zhang Marco Gaboardi Jinhui Xu
+	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications	2019	Shusen Liu Jim Gaffney Luc Peterson Peter Robinson Harsh Bhatia Valerio Pascucci B. K. Spears Peer‐Timo Bremer Di Wang Dan Maljovec
+	Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation	2019	Di Wang Jinhui Xu
+	Principal Component Analysis in the Local Differential Privacy Model	2019	Di Wang Jinhui Xu
+	On Sparse Linear Regression in the Local Differential Privacy Model.	2019	Di Wang Jinhui Xu
+	Differentially Private Empirical Risk Minimization with Non-convex Loss Functions	2019	Di Wang Changyou Chen Jinhui Xu
+	Estimating Sparse Covariance Matrix Under Differential Privacy via Thresholding	2019	Di Wang Jinhui Xu Yang He
+	Differentially Private High Dimensional Sparse Covariance Matrix Estimation	2019	Di Wang
+	Density Matching for Bilingual Word Embedding	2019	Chunting Zhou Xuezhe Ma Di Wang Graham Neubig
+	Neural Learning of Online Consumer Credit Risk	2019	Di Wang Qi Wu Wen Zhang
+	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation	2019	Zhiting Hu Haoran Shi Bowen Tan Wentao Wang Zichao Yang Tiancheng Zhao Junxian He Lianhui Qin Di Wang Xuezhe Ma
+	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications	2019	Shusen Liu Di Wang Dan Maljovec Rushil Anirudh Jayaraman J. Thiagarajan Sam Adé Jacobs Brian C. Van Essen David Hysom Jae-Seung Yeom Jim Gaffney
+ PDF Chat	Density Matching for Bilingual Word Embedding	2019	Chunting Zhou Xuezhe Ma Di Wang Graham Neubig
+	Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations	2019	Peixiang Zhong Di Wang Chunyan Miao
+	Facility Location Problem in Differential Privacy Model Revisited	2019	Yunus Esencayi Marco Gaboardi Shi Li Di Wang
+	High-dimensional vector autoregressive time series modeling via tensor decomposition	2019	Di Wang Yao Zheng Heng Lian Guodong Li
+	Flowless: Extracting Densest Subgraphs Without Flow Computations	2019	Digvijay Boob Yu Gao Richard Peng Saurabh Sawlani Charalampos E. Tsourakakis Di Wang Junxing Wang
+	Facility Location Problem in Differential Privacy Model Revisited	2019	Yunus Esencayi Marco Gaboardi Shi Li Di Wang
+ PDF Chat	High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition	2019	Di Wang Heng Lian Yao Zheng Guodong Li
+	Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data	2019	Di Wang Lijie Hu Huanyu Zhang Marco Gaboardi Jinhui Xu
+	Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations	2018	Di Wang Adam Smith Jinhui Xu
+	Neural Machine Translation with Key-Value Memory-Augmented Attention	2018	Fandong Meng Zhaopeng Tu Yong Cheng Haiyang Wu Junjie Zhai Yuekui Yang Di Wang
+	Differentially Private Empirical Risk Minimization Revisited: Faster and More General	2018	Di Wang Minwei Ye Jinhui Xu
+	Empirical Risk Minimization in Non-interactive Local Differential Privacy: Efficiency and High Dimensional Case	2018	Di Wang Marco Gaboardi Jinhui Xu
+	Neural Machine Translation with Key-Value Memory-Augmented Attention	2018	Fandong Meng Zhaopeng Tu Yong Cheng Haiyang Wu Junjie Zhai Yuekui Yang Di Wang
+	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation	2018	Zhiting Hu Haoran Shi Bowen Tan Wentao Wang Zichao Yang Tiancheng Zhao Junxian He Lianhui Qin Di Wang Xuezhe Ma
+	Differentially Private Empirical Risk Minimization in Non-interactive Local Model via Polynomial of Inner Product Approximation.	2018	Di Wang Adam Smith Jinhui Xu
+	Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations	2018	Di Wang Adam Smith Jinhui Xu
+ PDF Chat	Exploiting investors social network for stock prediction in China's market	2017	Xi Zhang Jiawei Shi Di Wang Binxing Fang
+	Steering Output Style and Topic in Neural Response Generation	2017	Di Wang Nebojša Jojić Chris Brockett Eric Nyberg
+ PDF Chat	Steering Output Style and Topic in Neural Response Generation	2017	Di Wang Nebojša Jojić Chris Brockett Eric Nyberg
+	Unified Acceleration Method for Packing and Covering Problems via Diameter Reduction	2015	Di Wang Satish Rao Michael W. Mahoney
+	Faster Parallel Solver for Positive Linear Programs via Dynamically-Bucketed Selective Coordinate Descent	2015	Di Wang Michael W. Mahoney Nishanth Mohan Satish Rao
+	A structure learning method for concise fuzzy systems	2012	Di Wang Xiao‐Jun Zeng John Keane
+	Necessary and sufficient conditions for the Schur harmonic convexity or concavity of the extended mean values	2011	Wei Xia Yu‐Ming Chu Di Wang
+	An Evolving-Construction Scheme for Fuzzy Systems	2010	Di Wang Xiao‐Jun Zeng John Keane
+	A structure evolving learning method for fuzzy systems	2010	Di Wang Xiao‐Jun Zeng John Keane
+	An Explicit Nonlinear Mapping for Manifold Learning	2010	Hong Qiao Peng Zhang Di Wang Bo Zhang
+	Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System	2009	Di Wang Xiao‐Jun Zeng John Keane
+	Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application	2008	Xiao‐Jun Zeng John Y. Goulermas Panos Liatsis Di Wang John Keane
+	Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables	2006	Di Wang Xiao‐Jun Zeng John Keane

Common Coauthors

Coauthor	Papers Together
Jinhui Xu	23
Marco Gaboardi	8
Jinyan Su	7
Chunyan Miao	7
Chenglong Wang	7
John Keane	6
Xiao‐Jun Zeng	6
Adam Smith	6
Lijie Hu	6
Zihang Xiang	5
Hanshen Xiao	5
Yan Hu	5
Jinhui Xu	5
Jianbin Qin	5
Vaneet Aggarwal	5
Michael K. Ng	4
Youming Tao	4
Muhammad Asif Ali	4
Junren Chen	4
Yulian Wu	4
Xuezhe Ma	4
Lijie Hu	4
Aranyak Mehta	4
Kevin He	4
Richard Peng	3
Zhixiang Su	3
Yuetan Chu	3
Yao Zheng	3
Lizhen Cui	3
Chaowen Guan	3
Xiangyu Guo	3
Dong Wang	3
Haoyang Li	3
Tianhao Wang	3
Guodong Li	3
Wenkai Han	3
Xin Gao	3
Xiaopeng Xu	3
You Zhou	3
Juexiao Zhou	3
Terry Yue Zhuo	3
Peixiang Zhong	3
Zhe Feng	3
Mengdi Huai	3
Longxi Zhou	3
Preslav Nakov	3
Wanyu Lin	3
Xingwu Sun	2
Zhongzhi Chen	2
Peter Robinson	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12	2017	Tang Jun Aleksandra Korolova Xiaolong Bai Xueqiang Wang XiaoFeng Wang	12
+	Local Privacy and Statistical Minimax Rates	2013	John C. Duchi Michael I. Jordan Martin J. Wainwright	9
+	RAPPOR	2014	Úlfar Erlingsson Vasyl Pihur Aleksandra Korolova	8
+	Differentially Private Empirical Risk Minimization.	2011	Kamalika Chaudhuri Claire Monteleoni Anand D. Sarwate	8
+	Differentially Private Empirical Risk Minimization Revisited: Faster and More General	2018	Di Wang Minwei Ye Jinhui Xu	8
+	What Can We Learn Privately?	2011	Shiva Prasad Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam Smith	6
+ PDF Chat	Minimax Optimal Procedures for Locally Private Estimation	2017	John C. Duchi Michael I. Jordan Martin J. Wainwright	6
+	High-Dimensional Probability: An Introduction with Applications in Data Science	2018	Roman Vershynin	6
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	6
+	Optimal rates of convergence for sparse covariance matrix estimation	2012	Tommaso Cai Harrison H. Zhou	6
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	5
+	Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations	2018	Di Wang Adam Smith Jinhui Xu	5
+	Private Convex Empirical Risk Minimization and High-dimensional Regression	2012	Daniel Kifer Adam Smith Abhradeep Thakurta	5
+ PDF Chat	Effective Approaches to Attention-based Neural Machine Translation	2015	Thang Luong Hieu Pham Christopher D. Manning	5
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	5
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	5
+	Fuzzy systems are universal approximators	2003	L.-X. Wang	5
+ PDF Chat	On the Limitations of Unsupervised Bilingual Dictionary Induction	2018	Anders Søgaard Sebastian Ruder Ivan Vulić	4
+ PDF Chat	Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach	2019	Pratik Jawanpuria Arjun Balgovind Anoop Kunchukuttan Bamdev Mishra	4
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+	Privately Learning High-Dimensional Distributions	2018	Gautam Kamath Jerry Li Vikrant Singhal Jonathan Ullman	4
+ PDF Chat	Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls	2011	Garvesh Raskutti Martin J. Wainwright Bin Yu	4
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	4
+	Optimal Schemes for Discrete Distribution Estimation Under Locally Differential Privacy	2018	Min Ye Alexander Barg	4
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	4
+ PDF Chat	Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion	2018	Armand Joulin Piotr Bojanowski Tomáš Mikolov Hervé Jeǵou Édouard Grave	4
+ PDF Chat	Estimation of (near) low-rank matrices with noise and high-dimensional scaling	2011	Sahand Negahban Martin J. Wainwright	4
+	Covariance regularization by thresholding	2008	Peter J. Bickel Elizaveta Levina	4
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	4
+	Regularized estimation in sparse high-dimensional time series models	2015	Sumanta Basu George Michailidis	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+	Tight Lower Bounds for Locally Differentially Private Selection	2018	Jonathan Ullman	4
+	Approximation theory of fuzzy systems-SISO case	1994	Xiao‐Jun Zeng M.G. Singh	4
+	Locally Private Mean Estimation: Z-test and Tight Confidence Intervals	2018	Marco Gaboardi Ryan Rogers Or Sheffet	3
+	Differentially Private Empirical Risk Minimization with Non-convex Loss Functions	2019	Di Wang Changyou Chen Jinhui Xu	3
+	Topic Aware Neural Response Generation	2016	Xing Chen Wei Wu Yu Wu Jie Liu Yalou Huang Ming Zhou Wei‐Ying Ma	3
+	The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy	2019	Tommaso Cai Yichen Wang Linjun Zhang	3
+	On the use of the weighted fuzzy c-means in fuzzy modeling	2005	George E. Tsekouras	3
+	A Neural Conversational Model	2015	Oriol Vinyals Quoc V. Le	3
+ PDF Chat	The right complexity measure in locally private estimation: It is not the Fisher information	2024	John C. Duchi Feng Ruan	3
+	Locally Private Gaussian Estimation	2018	Matthew Joseph Janardhan Kulkarni Jieming Mao Zhiwei Steven Wu	3
+	Statistical Methods for the Analysis of Biomedical Data	2002	Robert F. Woolson William R. Clarke	3
+	High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality.	2015	Zhaoran Wang Quanquan Gu Yang Ning Han Liu	3
+ PDF Chat	Smooth minimization of non-smooth functions	2004	Yu. Nesterov	3
+	A Direct Estimation of High Dimensional Stationary Vector Autoregressions	2013	Fang Han Huanran Lu Han Liu	3
+	A new approach to fuzzy modeling	1997	Euntai Kim Min-Kee Park Seunghwan Ji Mignon Park	3
+	Analysis and design of hierarchical fuzzy systems	1999	Lixin Wang	3
+	Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression	2017	Olivier Catoni Ilaria Giulini	3
+ PDF Chat	Adaptive estimation of a quadratic functional by model selection	2000	Béatrice Laurent Pascal Massart	3
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	3