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Di Wang

Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Technological University, Singapore

High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data


Aug 09, 2021
Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang

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Faster Rates of Differentially Private Stochastic Convex Optimization


Aug 07, 2021
Jinyan Su, Di Wang

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Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification


Jun 26, 2021
Di Wang, Bo Du, Liangpei Zhang

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UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction


Jun 09, 2021
Huanqin Wu, Wei Liu, Lei Li, Dan Nie, Tao Chen, Feng Zhang, Di Wang

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* 11pages, 6 figures, 6 tables, to be published in ACL 2021 findings 
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Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits


Jun 07, 2021
Youming Tao, Yulian Wu, Peng Zhao, Di Wang

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$\ell_2$-norm Flow Diffusion in Near-Linear Time


Jun 03, 2021
Li Chen, Richard Peng, Di Wang

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Large depth of range Maxwellian-viewing SMV near-eye display based on a Pancharatnam-Berry optical element


May 17, 2021
Lin Wang, Yan Li, Shuxin Liu, Yikai Su, Di Wang, Qiong-Hua Wang

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GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention


Apr 13, 2021
Yang Li, Di Wang, José M. F. Moura

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3DMNDT:3D multi-view registration method based on the normal distributions transform


Mar 20, 2021
Jihua Zhu, Di Wang, Jiaxi Mu, Huimin Lu, Zhiqiang Tian, Zhongyu Li

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CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts


Dec 15, 2020
Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao

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* AAAI-2021 
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Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks


Nov 22, 2020
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

* Presented in Third ArchEdge Workshop, Co-located with SEC'2020 
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Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy


Nov 11, 2020
Di Wang, Marco Gaboardi, Adam Smith, Jinhui Xu

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* Appeared at Journal of Machine Learning Research. The journal version of arXiv:1802.04085, fixed a bug in arXiv:1812.06825 
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Deep Learning Analysis and Age Prediction from Shoeprints


Nov 07, 2020
Muhammad Hassan, Yan Wang, Di Wang, Daixi Li, Yanchun Liang, You Zhou, Dong Xu

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* 24 pages, 20 Figures 
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Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees


Oct 22, 2020
Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu

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* Submiited. arXiv admin note: text overlap with arXiv:2010.09576 
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On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data


Oct 21, 2020
Di Wang, Hanshen Xiao, Srini Devadas, Jinhui Xu

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* Published in ICML 2020 
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Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding


Oct 19, 2020
Di Wang, Xiangyu Guo, Shi Li, Jinhui Xu

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* Accepted at Machine Learning 
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Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably


Oct 19, 2020
Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu

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* This paper is a substantially extended version of our previous work appeared in AAAI'20 
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Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training


Oct 16, 2020
Goran Zuzic, Di Wang, Aranyak Mehta, D. Sivakumar

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ECG Beats Fast Classification Base on Sparse Dictionaries


Sep 08, 2020
Nanyu Li, Yujuan Si, Di Wang, Tong Liu, Jinrun Yu

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* 27 pages 5 figures 
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Heterogeneous Federated Learning


Aug 15, 2020
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

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AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency


Aug 14, 2020
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen

* Accepted in DATE'2020 (Best Paper Nomination) 
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Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness


Jun 07, 2020
Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu

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* Correct the some details of the theorems and proofs 
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Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness


May 27, 2020
Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu

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* Refine the proofs, and add more theorems and experiments 
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$p$-Norm Flow Diffusion for Local Graph Clustering


May 20, 2020
Shenghao Yang, Di Wang, Kimon Fountoulakis

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* 29 pages, 5 figures, 3 tables 
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Distributed Kernel Ridge Regression with Communications


Mar 27, 2020
Shao-Bo Lin, Di Wang, Ding-Xuan Zhou

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* 38pages 
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Robust Feature-Based Point Registration Using Directional Mixture Model


Nov 25, 2019
Saman Fahandezh-Saadi, Di Wang, Masayoshi Tomizuka

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