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
255 publications
Wei Chen
199 publications
Yi Yang
185 publications
Jiashi Feng
177 publications
Jiebo Luo
143 publications
Dong Wang
139 publications
Tie-Yan Liu
136 publications
Ting Liu
135 publications
Li Zhang
134 publications
Raquel Urtasun
130 publications
Jian Sun
119 publications

Collaborative Visual Navigation

As a fundamental problem for Artificial Intelligence, multi-agent system...
07/02/2021 ∙ by Haiyang Wang, et al. ∙ 5 ∙ share

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Semi-supervised Semantic Segmentation with Directional Context-aware Consistency

Semantic segmentation has made tremendous progress in recent years. Howe...
06/27/2021 ∙ by Xin Lai, et al. ∙ 0 ∙ share

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Multi-stage Optimization based Adversarial Training

In the field of adversarial robustness, there is a common practice that ...
06/26/2021 ∙ by Xiaosen Wang, et al. ∙ 0 ∙ share

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Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors

Scientific and engineering problems often require the use of artificial ...
06/26/2021 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding

The attention module, which is a crucial component in Transformer, canno...
06/23/2021 ∙ by Shengjie Luo, et al. ∙ 9 ∙ share

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A Unified Framework for Conservative Exploration

We study bandits and reinforcement learning (RL) subject to a conservati...
06/22/2021 ∙ by Yunchang Yang, et al. ∙ 0 ∙ share

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FedCM: Federated Learning with Client-level Momentum

Federated Learning is a distributed machine learning approach which enab...
06/21/2021 ∙ by Jing Xu, et al. ∙ 15 ∙ share

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JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

Existing pre-trained models for knowledge-graph-to-text (KG-to-text) gen...
06/19/2021 ∙ by Pei Ke, et al. ∙ 0 ∙ share

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Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization

For natural frequency optimization of engineering structures, cellular c...
06/11/2021 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Towards a Theoretical Framework of Out-of-Distribution Generalization

Generalization to out-of-distribution (OOD) data, or domain generalizati...
06/08/2021 ∙ by Haotian Ye, et al. ∙ 45 ∙ share

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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. ∙ 2 ∙ 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. ∙ 18 ∙ 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. ∙ 1 ∙ 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. ∙ 20 ∙ 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. ∙ 20 ∙ 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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