b'Jun Wang'

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

We introduce a method based on deep metric learning to perform Bayesian ...
06/07/2021 ∙ by Antoine Grosnit, et al. ∙ 36 ∙ share

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CT-Net: Channel Tensorization Network for Video Classification

3D convolution is powerful for video classification but often computatio...
06/03/2021 ∙ by Kunchang Li, et al. ∙ 15 ∙ share

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Learning to Select Cuts for Efficient Mixed-Integer Programming

Cutting plane methods play a significant role in modern solvers for tack...
05/28/2021 ∙ by Zeren Huang, et al. ∙ 8 ∙ share

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Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems

The Dynamic Pickup and Delivery Problem (DPDP) is aimed at dynamically s...
05/27/2021 ∙ by Xijun Li, et al. ∙ 6 ∙ share

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Learning to Win, Lose and Cooperate through Reward Signal Evolution

Solving a reinforcement learning problem typically involves correctly pr...
05/17/2021 ∙ by Rafał Muszyński, et al. ∙ 0 ∙ share

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Ordering-Based Causal Discovery with Reinforcement Learning

It is a long-standing question to discover causal relations among a set ...
05/14/2021 ∙ by Xiaoqiang Wang, et al. ∙ 4 ∙ share

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Boosting Semi-Supervised Face Recognition with Noise Robustness

Although deep face recognition benefits significantly from large-scale t...
05/10/2021 ∙ by Yuchi Liu, et al. ∙ 4 ∙ share

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Joint Beamforming and Reconfigurable Intelligent Surface Design for Two-Way Relay Networks

In this paper, we consider a reconfigurable intelligent surface (RIS)-as...
05/08/2021 ∙ by Jun Wang, et al. ∙ 0 ∙ share

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Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images

The early diagnosis and screening of glaucoma are important for patients...
05/07/2021 ∙ by Yiming Bao, et al. ∙ 3 ∙ share

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Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy

Objective: Accurate evaluation of the root canal filling result in X-ray...
05/02/2021 ∙ by Yunxiang Li, et al. ∙ 6 ∙ share

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M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

We present a novel architecture for 3D object detection, M3DeTR, which c...
04/24/2021 ∙ by Tianrui Guan, et al. ∙ 19 ∙ share

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Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale

We propose a cloud-based multimodal dialog platform for the remote asses...
04/15/2021 ∙ by Michael Neumann, et al. ∙ 0 ∙ share

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An Adversarial Imitation Click Model for Information Retrieval

Modern information retrieval systems, including web search, ads placemen...
04/13/2021 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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Improving the Gilbert-Varshamov Bound by Graph Spectral Method

We improve Gilbert-Varshamov bound by graph spectral method. Gilbert gra...
04/03/2021 ∙ by Zicheng Ye, et al. ∙ 0 ∙ share

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Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

Due to the subjective annotation and the inherent interclass similarity ...
04/01/2021 ∙ by Jiahui She, et al. ∙ 10 ∙ share

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Two-phase weakly supervised object detection with pseudo ground truth mining

Weakly Supervised Object Detection (WSOD), aiming to train detectors wit...
04/01/2021 ∙ by Jun Wang, et al. ∙ 2 ∙ share

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Cooperative Beam Hopping for Accurate Positioning in Ultra-Dense LEO Satellite Networks

In ultra-dense LEO satellite networks, conventional communication-orient...
03/31/2021 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Source-Free Domain Adaptation for Semantic Segmentation

Unsupervised Domain Adaptation (UDA) can tackle the challenge that convo...
03/30/2021 ∙ by Yuang Liu, et al. ∙ 20 ∙ share

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Zero-shot Adversarial Quantization

Model quantization is a promising approach to compress deep neural netwo...
03/29/2021 ∙ by Yuang Liu, et al. ∙ 13 ∙ share

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Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images

Common horizontal bounding box (HBB)-based methods are not capable of ac...
03/24/2021 ∙ by Yishan He, et al. ∙ 0 ∙ share

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A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics

Learning and analyzing rap lyrics is a significant basis for many web ap...
03/23/2021 ∙ by Hongru Liang, et al. ∙ 4 ∙ share

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Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks

To improve the system performance towards the Shannon limit, advanced ra...
03/22/2021 ∙ by Jian Wang, et al. ∙ 3 ∙ share

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Learning to Shape Rewards using a Game of Switching Controls

Reward shaping (RS) is a powerful method in reinforcement learning (RL) ...
03/16/2021 ∙ by David Mguni, et al. ∙ 4 ∙ share

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Modelling Behavioural Diversity for Learning in Open-Ended Games

Promoting behavioural diversity is critical for solving games with non-t...
03/14/2021 ∙ by Nicolas Perez Nieves, et al. ∙ 8 ∙ share

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Online Double Oracle

Solving strategic games with huge action space is a critical yet under-e...
03/13/2021 ∙ by Le Cong Dinh, et al. ∙ 3 ∙ share

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High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection

As the most economical and routine auxiliary examination in the diagnosi...
03/07/2021 ∙ by Yunxiang Li, et al. ∙ 8 ∙ share

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Adaptive Multi-Teacher Multi-level Knowledge Distillation

Knowledge distillation (KD) is an effective learning paradigm for improv...
03/06/2021 ∙ by Yuang Liu, et al. ∙ 18 ∙ share

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IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures

Variable-density cellular structures can overcome connectivity and manuf...
03/03/2021 ∙ by Jun Wang, et al. ∙ 3 ∙ share

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Controllable and Diverse Text Generation in E-commerce

In E-commerce, a key challenge in text generation is to find a good trad...
02/23/2021 ∙ by Huajie Shao, et al. ∙ 11 ∙ share

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Mask guided attention for fine-grained patchy image classification

In this work, we present a novel mask guided attention (MGA) method for ...
02/04/2021 ∙ by Jun Wang, et al. ∙ 10 ∙ share

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A relic sketch extraction framework based on detail-aware hierarchical deep network

As the first step of the restoration process of painted relics, sketch e...
01/17/2021 ∙ by Jinye Peng, et al. ∙ 9 ∙ share

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Learning the Implicit Semantic Representation on Graph-Structured Data

Existing representation learning methods in graph convolutional networks...
01/16/2021 ∙ by Likang Wu, et al. ∙ 18 ∙ share

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Efficient Semi-Implicit Variational Inference

In this paper, we propose CI-VI an efficient and scalable solver for sem...
01/15/2021 ∙ by Vincent Moens, et al. ∙ 10 ∙ share

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FaceX-Zoo: A PyTorch Toolbox for Face Recognition

Deep learning based face recognition has achieved significant progress i...
01/12/2021 ∙ by Jun Wang, et al. ∙ 42 ∙ share

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Causal World Models by Unsupervised Deconfounding of Physical Dynamics

The capability of imagining internally with a mental model of the world ...
12/28/2020 ∙ by Minne Li, et al. ∙ 9 ∙ share

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Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Developing link prediction models to automatically complete knowledge gr...
12/22/2020 ∙ by Yao Zhang, et al. ∙ 10 ∙ share

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Learn molecular representations from large-scale unlabeled molecules for drug discovery

How to produce expressive molecular representations is a fundamental cha...
12/21/2020 ∙ by Pengyong Li, et al. ∙ 19 ∙ share

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Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Most recently, there has been significant interest in learning contextua...
12/18/2020 ∙ by Peng Shi, et al. ∙ 10 ∙ share

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Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?

Bayesian optimisation presents a sample-efficient methodology for global...
12/15/2020 ∙ by Antoine Grosnit, et al. ∙ 14 ∙ share

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Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search

Automatically detecting the positions of key-points (e.g., facial key-po...
12/11/2020 ∙ by Fitash Ul Haq, et al. ∙ 0 ∙ share

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Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions

Active learning generally involves querying the most representative samp...
12/09/2020 ∙ by Jun Wang, et al. ∙ 8 ∙ share

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HEBO: Heteroscedastic Evolutionary Bayesian Optimisation

We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation th...
12/07/2020 ∙ by Alexander I. Cowen-Rivers, et al. ∙ 17 ∙ share

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Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network

The Gleason grading system using histological images is the most powerfu...
11/29/2020 ∙ by Haotian Xie, et al. ∙ 6 ∙ share

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Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee

Reinforcement learning (RL) is promising for complicated stochastic nonl...
11/13/2020 ∙ by Minghao Han, et al. ∙ 10 ∙ share

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Targeted Poisoning Attacks on Black-Box Neural Machine Translation

As modern neural machine translation (NMT) systems have been widely depl...
11/02/2020 ∙ by Chang Xu, et al. ∙ 28 ∙ share

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An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective

Following the remarkable success of the AlphaGO series, 2019 was a boomi...
11/01/2020 ∙ by Yaodong Yang, et al. ∙ 89 ∙ share

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U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Learning to rank with implicit feedback is one of the most important tas...
11/01/2020 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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Empirical or Invariant Risk Minimization? A Sample Complexity Perspective

Recently, invariant risk minimization (IRM) was proposed as a promising ...
10/30/2020 ∙ by Kartik Ahuja, et al. ∙ 5 ∙ share

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GMH: A General Multi-hop Reasoning Model for KG Completion

Knowledge graphs are essential for numerous downstream natural language ...
10/15/2020 ∙ by Yao Zhang, et al. ∙ 7 ∙ share

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Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network

In recent years, advances in the development of whole-slide images have ...
10/10/2020 ∙ by Jun Wang, et al. ∙ 12 ∙ share

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Jun Wang

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