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

Luc Van Gool
241 publications
Wei Chen
177 publications
Yi Yang
172 publications
Jiashi Feng
162 publications
Jiebo Luo
140 publications
Raquel Urtasun
129 publications
Dong Wang
127 publications
Li Zhang
126 publications
Ting Liu
125 publications
Tie-Yan Liu
116 publications
Jian Sun
112 publications

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection

Conventional deep learning based methods for object detection require a ...
03/30/2021 ∙ by Hanzhe Hu, et al. ∙ 0 ∙ share

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DAGN: Discourse-Aware Graph Network for Logical Reasoning

Recent QA with logical reasoning questions requires passage-level relati...
03/26/2021 ∙ by Yinya Huang, et al. ∙ 0 ∙ share

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Revisiting Language Encoding in Learning Multilingual Representations

Transformer has demonstrated its great power to learn contextual word re...
02/16/2021 ∙ by Shengjie Luo, et al. ∙ 0 ∙ share

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Towards Certifying ℓ_∞ Robustness using Neural Networks with ℓ_∞-dist Neurons

It is well-known that standard neural networks, even with a high classif...
02/10/2021 ∙ by Bohang Zhang, et al. ∙ 1 ∙ share

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Near-optimal Representation Learning for Linear Bandits and Linear RL

This paper studies representation learning for multi-task linear bandits...
02/08/2021 ∙ by Jiachen Hu, et al. ∙ 0 ∙ share

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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

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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

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Learnable Boundary Guided Adversarial Training

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

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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

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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

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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

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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

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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

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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

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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

Metamaterials are emerging as a new paradigmatic material system to rend...
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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