Liwei Wang

is this you? claim profile

∙ 0 followers
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

Luc Van Gool
225 publications
Wei Chen
161 publications
Yi Yang
157 publications
Jiashi Feng
154 publications
Jiebo Luo
129 publications
Dong Wang
120 publications
Ting Liu
119 publications
Li Zhang
111 publications
Tie-Yan Liu
106 publications
Raquel Urtasun
102 publications
Jian Sun
100 publications

Robust Dialogue Utterance Rewriting as Sequence Tagging

The task of dialogue rewriting aims to reconstruct the latest dialogue u...
12/29/2020 ∙ by Jie Hao, et al. ∙ 0 ∙ share

read it
Fully Convolutional Networks for Panoptic Segmentation

In this paper, we present a conceptually simple, strong, and efficient f...
12/01/2020 ∙ by Yanwei Li, et al. ∙ 0 ∙ share

read it
Learnable Boundary Guided Adversarial Training

Previous adversarial training raises model robustness under the compromi...
11/23/2020 ∙ by Jiequan Cui, et al. ∙ 1 ∙ share

read it
LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...
10/17/2020 ∙ by Yunchao Wei, et al. ∙ 4 ∙ share

read it
Improved Analysis of Clipping Algorithms for Non-convex Optimization

Gradient clipping is commonly used in training deep neural networks part...
10/05/2020 ∙ by Bohang Zhang, et al. ∙ 0 ∙ share

read it
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Network pruning is a method for reducing test-time computational resourc...
09/22/2020 ∙ by Jingtong Su, et al. ∙ 17 ∙ share

read it
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

Normalization plays an important role in the optimization of deep neural...
09/07/2020 ∙ by Tianle Cai, et al. ∙ 0 ∙ share

read it
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL

Reinforcement learning (RL) in episodic, factored Markov decision proces...
08/31/2020 ∙ by Xiaoyu Chen, et al. ∙ 9 ∙ share

read it
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. ∙ 2 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

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

Metamaterials are emerging as a new paradigmatic material system to rend...
06/27/2020 ∙ by Liwei Wang, et al. ∙ 10 ∙ share

read it
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

read it
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

read it
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

read it
(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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
On the Anomalous Generalization of GANs

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it