Liwei Wang

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University of Illinois at Urbana-Champaign ∙ Tencent ∙ Peking University

Assistant Professor at University of British Columbia, Okanagan Campus, BC, Canada, Senior Scientist at ABB Sweden Corporate Research from 2012-2014, Scientist at ABB Sweden Corporate Research from 2010-2012, Post Doctoral Research Fellow at The University of British Columbia 2010

Featured Co-authors

Jiashi Feng
142 publications
Wei Chen
126 publications
Jiebo Luo
114 publications
Dong Wang
102 publications
Tie-Yan Liu
93 publications
Zheng Zhang
80 publications
Cho-Jui Hsieh
79 publications
Mohit Bansal
73 publications
Tao Xiang
72 publications
Raquel Urtasun
71 publications
Tao Qin
67 publications

Improving One-stage Visual Grounding by Recursive Sub-query Construction

We improve one-stage visual grounding by addressing current limitations ...
08/03/2020 ∙ by Zhengyuan Yang, et al. ∙ 0 ∙ share

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RANDOM MASK: Towards Robust Convolutional Neural Networks

Robustness of neural networks has recently been highlighted by the adver...
07/27/2020 ∙ by Tiange Luo, et al. ∙ 19 ∙ share

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Transferred Discrepancy: Quantifying the Difference Between Representations

Understanding what information neural networks capture is an essential p...
07/24/2020 ∙ by Yunzhen Feng, et al. ∙ 0 ∙ share

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Comprehensive Image Captioning via Scene Graph Decomposition

We address the challenging problem of image captioning by revisiting the...
07/23/2020 ∙ by Yiwu Zhong, et al. ∙ 3 ∙ share

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RepPoints V2: Verification Meets Regression for Object Detection

Verification and regression are two general methodologies for prediction...
07/16/2020 ∙ by Yihong Chen, et al. ∙ 10 ∙ share

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Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Weakly supervised phrase grounding aims at learning region-phrase corres...
07/03/2020 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems

The inverse design of metamaterials is difficult due to a high-dimension...
06/27/2020 ∙ by Liwei Wang, et al. ∙ 10 ∙ share

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Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process

The data-driven approach is emerging as a promising method for the topol...
06/27/2020 ∙ by Liwei Wang, et al. ∙ 8 ∙ share

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MC-BERT: Efficient Language Pre-Training via a Meta Controller

Pre-trained contextual representations (e.g., BERT) have become the foun...
06/10/2020 ∙ by Zhenhui Xu, et al. ∙ 0 ∙ share

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Multi-modal Feature Fusion with Feature Attention for VATEX Captioning Challenge 2020

This report describes our model for VATEX Captioning Challenge 2020. Fir...
06/05/2020 ∙ by Ke Lin, et al. ∙ 0 ∙ share

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(Locally) Differentially Private Combinatorial Semi-Bandits

In this paper, we study Combinatorial Semi-Bandits (CSB) that is an exte...
06/01/2020 ∙ by Xiaoyu Chen, et al. ∙ 15 ∙ share

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Locally Differentially Private (Contextual) Bandits Learning

We study locally differentially private (LDP) bandits learning in this p...
06/01/2020 ∙ by Kai Zheng, et al. ∙ 4 ∙ share

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METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design

Data-driven design of mechanical metamaterials is an increasingly popula...
06/01/2020 ∙ by Yu-Chin Chan, et al. ∙ 4 ∙ share

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Boosting Few-Shot Learning With Adaptive Margin Loss

Few-shot learning (FSL) has attracted increasing attention in recent yea...
05/28/2020 ∙ by Aoxue Li, et al. ∙ 5 ∙ share

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Improve bone age assessment by learning from anatomical local regions

Skeletal bone age assessment (BAA), as an essential imaging examination,...
05/27/2020 ∙ by Dong Wang, et al. ∙ 16 ∙ share

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MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Generating multi-sentence descriptions for videos is one of the most cha...
05/11/2020 ∙ by Jie Lei, et al. ∙ 1 ∙ share

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Memory Enhanced Global-Local Aggregation for Video Object Detection

How do humans recognize an object in a piece of video? Due to the deteri...
03/26/2020 ∙ by Yihong Chen, et al. ∙ 4 ∙ share

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Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories

We address the problem of discovering 3D parts for objects in unseen cat...
02/16/2020 ∙ by Tiange Luo, et al. ∙ 11 ∙ share

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On Layer Normalization in the Transformer Architecture

The Transformer is widely used in natural language processing tasks. To ...
02/12/2020 ∙ by Ruibin Xiong, et al. ∙ 0 ∙ share

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Combinatorial Semi-Bandit in the Non-Stationary Environment

In this paper, we investigate the non-stationary combinatorial semi-band...
02/10/2020 ∙ by Wei Chen, et al. ∙ 13 ∙ share

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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Adversarial training is one of the most popular ways to learn robust mod...
01/08/2020 ∙ by Runtian Zhai, et al. ∙ 4 ∙ share

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Dense RepPoints: Representing Visual Objects with Dense Point Sets

We present an object representation, called Dense RepPoints, for flexibl...
12/24/2019 ∙ by Ze Yang, et al. ∙ 8 ∙ share

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Defective Convolutional Layers Learn Robust CNNs

Robustness of convolutional neural networks has recently been highlighte...
11/19/2019 ∙ by Tiange Luo, et al. ∙ 19 ∙ share

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Development of Clinical Concept Extraction Applications: A Methodology Review

Our study provided a review of the development of clinical concept extra...
10/24/2019 ∙ by Sunyang Fu, et al. ∙ 0 ∙ share

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A Review of the End-to-End Methodologies for Clinical Concept Extraction

Our study provided a review of the concept extraction literature from Ja...
10/24/2019 ∙ by Sunyang Fu, et al. ∙ 0 ∙ share

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On the Anomalous Generalization of GANs

Generative models, especially Generative Adversarial Networks (GANs), ha...
09/27/2019 ∙ by Jinchen Xuan, et al. ∙ 46 ∙ share

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Robust Local Features for Improving the Generalization of Adversarial Training

Adversarial training has been demonstrated as one of the most effective ...
09/23/2019 ∙ by Chubiao Song, et al. ∙ 11 ∙ share

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Hint-Based Training for Non-Autoregressive Machine Translation

Due to the unparallelizable nature of the autoregressive factorization, ...
09/15/2019 ∙ by Zhuohan Li, et al. ∙ 0 ∙ share

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McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds

A crucial assumption in most statistical learning theory is that samples...
09/05/2019 ∙ by Zhang, et al. ∙ 0 ∙ share

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A Fast and Accurate One-Stage Approach to Visual Grounding

We propose a simple, fast, and accurate one-stage approach to visual gro...
08/18/2019 ∙ by Zhengyuan Yang, et al. ∙ 1 ∙ share

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Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples

Recent evidence suggests that deep neural networks (DNNs) are vulnerable...
08/17/2019 ∙ by Jiadong Lin, et al. ∙ 3 ∙ share

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Few-Shot Learning with Global Class Representations

In this paper, we propose to tackle the challenging few-shot learning (F...
08/14/2019 ∙ by Tiange Luo, et al. ∙ 0 ∙ share

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Representation Degeneration Problem in Training Natural Language Generation Models

We study an interesting problem in training neural network-based models ...
07/28/2019 ∙ by Jun Gao, et al. ∙ 0 ∙ share

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Cross-lingual Data Transformation and Combination for Text Classification

Text classification is a fundamental task for text data mining. In order...
06/23/2019 ∙ by Jun Jiang, et al. ∙ 0 ∙ share

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Convergence of Adversarial Training in Overparametrized Networks

Neural networks are vulnerable to adversarial examples, i.e. inputs that...
06/19/2019 ∙ by Ruiqi Gao, et al. ∙ 0 ∙ share

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Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

The Transformer architecture is widely used in natural language processi...
06/06/2019 ∙ by Yiping Lu, et al. ∙ 0 ∙ share

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Adversarially Robust Generalization Just Requires More Unlabeled Data

Neural network robustness has recently been highlighted by the existence...
06/03/2019 ∙ by Runtian Zhai, et al. ∙ 0 ∙ share

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Equipping Experts/Bandits with Long-term Memory

We propose the first reduction-based approach to obtaining long-term mem...
05/30/2019 ∙ by Kai Zheng, et al. ∙ 0 ∙ share

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A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems

First-order methods such as stochastic gradient descent (SGD) are curren...
05/28/2019 ∙ by Tianle Cai, et al. ∙ 0 ∙ share

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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
05/28/2019 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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RepPoints: Point Set Representation for Object Detection

Modern object detectors rely heavily on rectangular bounding boxes, such...
04/25/2019 ∙ by Ze Yang, et al. ∙ 0 ∙ share

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Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret

We study the communication complexity of distributed multi-armed bandits...
04/12/2019 ∙ by Yuanhao Wang, et al. ∙ 0 ∙ share

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Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing

We present a method for compositing virtual objects into a photograph su...
03/27/2019 ∙ by Jun Gao, et al. ∙ 0 ∙ share

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Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP

A fundamental question in reinforcement learning is whether model-free a...
01/27/2019 ∙ by Kefan Dong, et al. ∙ 0 ∙ share

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CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model

Background: Widespread adoption of electronic health records (EHRs) has ...
01/22/2019 ∙ by Sijia Liu, et al. ∙ 0 ∙ share

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Gradient Descent Finds Global Minima of Deep Neural Networks

Gradient descent finds a global minimum in training deep neural networks...
11/09/2018 ∙ by Simon S. Du, et al. ∙ 20 ∙ share

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Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation

It is widely believed that learning good representations is one of the m...
10/28/2018 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning

Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...
10/19/2018 ∙ by Aoxue Li, et al. ∙ 0 ∙ share

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Improving the Generalization of Adversarial Training with Domain Adaptation

By injecting adversarial examples into training data, the adversarial tr...
10/01/2018 ∙ by Chuanbiao Song, et al. ∙ 0 ∙ share

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FRAGE: Frequency-Agnostic Word Representation

Continuous word representation (aka word embedding) is a basic building ...
09/18/2018 ∙ by Chengyue Gong, et al. ∙ 0 ∙ share

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