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
133 publications
Jiebo Luo
105 publications
Wei Chen
102 publications
Dong Wang
92 publications
Tie-Yan Liu
77 publications
Cho-Jui Hsieh
73 publications
Mohit Bansal
73 publications
Zheng Zhang
72 publications
Tao Xiang
66 publications
Dong Yu
62 publications
Raquel Urtasun
62 publications

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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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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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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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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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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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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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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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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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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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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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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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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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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A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search

Sponsored search is an important monetization channel for search engines...
06/03/2014 ∙ by Di He, et al. ∙ 0 ∙ share

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Generalized Second Price Auction with Probabilistic Broad Match

Generalized Second Price (GSP) auctions are widely used by search engine...
04/15/2014 ∙ by Wei Chen, et al. ∙ 0 ∙ share

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Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

This paper explores image caption generation using conditional variation...
11/19/2017 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization

It is believed that hippocampus functions as a memory allocator in brain...
12/14/2016 ∙ by Wenlong Mou, et al. ∙ 0 ∙ share

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Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints

Algorithm-dependent generalization error bounds are central to statistic...
07/19/2017 ∙ by Wenlong Mou, et al. ∙ 0 ∙ share

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Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics

Fine-grained image classification, which aims to distinguish images with...
07/04/2017 ∙ by Aoxue Li, et al. ∙ 0 ∙ share

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Efficient Private ERM for Smooth Objectives

In this paper, we consider efficient differentially private empirical ri...
03/29/2017 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

Early detection of pulmonary cancer is the most promising way to enhance...
06/14/2017 ∙ by Jia Ding, et al. ∙ 0 ∙ share

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Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes

In this work we study the quantitative relation between the recursive te...
02/18/2017 ∙ by Lunjia Hu, et al. ∙ 0 ∙ share

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Learning Two-Branch Neural Networks for Image-Text Matching Tasks

This paper investigates two-branch neural networks for image-text matchi...
04/11/2017 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output

We consider accurately answering smooth queries while preserving differe...
01/06/2014 ∙ by Chi Jin, et al. ∙ 0 ∙ share

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A Theoretical Analysis of NDCG Type Ranking Measures

A central problem in ranking is to design a ranking measure for evaluati...
04/24/2013 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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Training Deeper Convolutional Networks with Deep Supervision

One of the most promising ways of improving the performance of deep conv...
05/11/2015 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Image classification by visual bag-of-words refinement and reduction

This paper presents a new framework for visual bag-of-words (BOW) refine...
01/18/2015 ∙ by Zhiwu Lu, et al. ∙ 0 ∙ share

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Pairwise Constraint Propagation on Multi-View Data

This paper presents a graph-based learning approach to pairwise constrai...
01/18/2015 ∙ by Zhiwu Lu, et al. ∙ 0 ∙ share

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Dual Learning for Machine Translation

While neural machine translation (NMT) is making good progress in the pa...
11/01/2016 ∙ by Yingce Xia, et al. ∙ 0 ∙ share

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Learning Deep Structure-Preserving Image-Text Embeddings

This paper proposes a method for learning joint embeddings of images and...
11/19/2015 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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A Comparison of Word Embeddings for the Biomedical Natural Language Processing

Neural word embeddings have been widely used in biomedical Natural Langu...
02/01/2018 ∙ by Yanshan Wang, et al. ∙ 0 ∙ share

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Learning Region Features for Object Detection

While most steps in the modern object detection methods are learnable, t...
03/19/2018 ∙ by Jiayuan Gu, et al. ∙ 0 ∙ share

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Diverse and Controllable Image Captioning with Part-of-Speech Guidance

Automatically describing an image is an important capability for virtual...
05/31/2018 ∙ by Aditya Deshpande, et al. ∙ 0 ∙ share

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Towards Binary-Valued Gates for Robust LSTM Training

Long Short-Term Memory (LSTM) is one of the most widely used recurrent s...
06/08/2018 ∙ by Zhuohan Li, et al. ∙ 0 ∙ share

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A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction

Objective: To automatically create large labeled training datasets and r...
04/20/2018 ∙ by Yanshan Wang, et al. ∙ 0 ∙ share

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Learning to Navigate for Fine-grained Classification

Fine-grained classification is challenging due to the difficulty of find...
09/02/2018 ∙ by Ze Yang, 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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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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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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MedSTS: A Resource for Clinical Semantic Textual Similarity

The wide adoption of electronic health records (EHRs) has enabled a wide...
08/28/2018 ∙ by Yanshan Wang, 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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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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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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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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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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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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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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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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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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