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Di Wang

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

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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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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Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning


Nov 24, 2019
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen


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Facility Location Problem in Differential Privacy Model Revisited


Oct 26, 2019
Yunus Esencayi, Marco Gaboardi, Shi Li, Di Wang

* Accepted to NeurIPS 2019 

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Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data


Oct 01, 2019
Di Wang, Huanyu Zhang, Marco Gaboardi, Jinhui Xu


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Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations


Oct 01, 2019
Peixiang Zhong, Di Wang, Chunyan Miao

* EMNLP 2019 

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INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps


Sep 30, 2019
Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kummerle, Hendrik Konigshof, Christoph Stiller, Arnaud de La Fortelle, Masayoshi Tomizuka


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Faster width-dependent algorithm for mixed packing and covering LPs


Sep 26, 2019
Digvijay Boob, Saurabh Sawlani, Di Wang

* Accepted for oral presentation at NeurIPS 2019 

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Heterogeneous Graph Convolutional Networks for Temporal Community Detection


Sep 23, 2019
Yaping Zheng, Shiyi Chen, Xiaofeng Zhang, Di Wang


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Distributed Equivalent Substitution Training for Large-Scale Recommender Systems


Sep 10, 2019
Haidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang

* 10 pages 

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