
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
By decomposing the visual tracking task into two subproblems as classifi...
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Lung Infection Quantification of COVID19 in CT Images with Deep Learning
CT imaging is crucial for diagnosis, assessment and staging COVID19 inf...
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MultiView Reinforcement Learning
This paper is concerned with multiview reinforcement learning (MVRL), w...
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MultiAgent Generalized Recursive Reasoning
We propose a new reasoning protocol called generalized recursive reasoni...
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Learning Structured Communication for Multiagent Reinforcement Learning
This work explores the largescale multiagent communication mechanism u...
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Attentionaware Multistroke Style Transfer
Neural style transfer has drawn considerable attention from both academi...
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Feature Concatenation Multiview Subspace Clustering
Many multiview clustering methods have been proposed with the popularit...
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Probabilistic Recursive Reasoning for MultiAgent Reinforcement Learning
Humans are capable of attributing latent mental contents such as beliefs...
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Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning
The superior interpretability and uncertainty modeling ability of Takagi...
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MultiView MultiInstance MultiLabel Learning based on Collaborative Matrix Factorization
Multiview Multiinstance Multilabel Learning(M3L) deals with complex o...
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Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID19
The pandemic of coronavirus disease 2019 (COVID19) is spreading all ove...
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MANAS: MultiAgent Neural Architecture Search
The Neural Architecture Search (NAS) problem is typically formulated as ...
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Learning Multiagent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative ImperfectInformation Game
In situations where explicit communication is limited, a human collabora...
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Optimizing Objectbased Perception and Control by FreeEnergy Principle
One of the wellknown formulations of human perception is a hierarchical...
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MultiView Multiple Clusterings using Deep Matrix Factorization
Multiview clustering aims at integrating complementary information from...
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BayesNAS: A Bayesian Approach for Neural Architecture Search
OneShot Neural Architecture Search (NAS) is a promising method to signi...
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Learning Shared Dynamics with MetaWorld Models
Humans have consciousness as the ability to perceive events and objects:...
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Transfer Representation Learning with TSK Fuzzy System
Transfer learning can address the learning tasks of unlabeled data in th...
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DRDNet: Detailrecovery Image Deraining via Context Aggregation Networks
Image deraining is a fundamental, yet not wellsolved problem in compute...
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Partial Multilabel Learning with Label and Feature Collaboration
Partial multilabel learning (PML) models the scenario where each traini...
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Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation
With the rapid growth of the express industry, intelligent warehouses th...
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ActiveHNE: Active Heterogeneous Network Embedding
Heterogeneous network embedding (HNE) is a challenging task due to the d...
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Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
Recent years have witnessed the increasing interests in research of crow...
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Compositional ADAM: An Adaptive Compositional Solver
In this paper, we present CADAM, the first adaptive solver for composit...
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CRATOS: Cogination of Reliable Algorithm for Timeseries Optimal Solution
Anomaly detection of time series plays an important role in reliability ...
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Replicaexchange NoséHoover dynamics for Bayesian learning on large datasets
In this paper, we propose a new sampler for Bayesian learning that can e...
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Visual Navigation by Generating Next Expected Observations
We propose a novel approach to visual navigation in unknown environments...
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Multiple Independent Subspace Clusterings
Multiple clustering aims at discovering diverse ways of organizing data ...
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MultiView Multiple Clustering
Multiple clustering aims at exploring alternative clusterings to organiz...
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Weaklypaired CrossModal Hashing
Hashing has been widely adopted for largescale data retrieval in many d...
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Dynamic Reconstruction of Deformable Softtissue with Stereo Scope in Minimal Invasive Surgery
In minimal invasive surgery, it is important to rebuild and visualize th...
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CRATOS: Cognition of Reliable Algorithm for Timeseries Optimal Solution
Anomaly detection of time series plays an important role in reliability ...
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Matrix Recovery with Implicitly LowRank Data
In this paper, we study the problem of matrix recovery, which aims to re...
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Endtoend feature fusion siamese network for adaptive visual tracking
According to observations, different visual objects have different salie...
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Wasserstein Robust Reinforcement Learning
Reinforcement learning algorithms, though successful, tend to overfit t...
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A Regularized Opponent Model with Maximum Entropy Objective
In a singleagent setting, reinforcement learning (RL) tasks can be cast...
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MarlRank: Multiagent Reinforced Learning to Rank
When estimating the relevancy between a query and a document, ranking mo...
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Rankingbased Deep Crossmodal Hashing
Crossmodal hashing has been receiving increasing interests for its low ...
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Joint Information Preservation for Heterogeneous Domain Adaptation
Domain adaptation aims to assist the modeling tasks of the target domain...
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Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
Recent advances in Neural Variational Inference allowed for a renaissanc...
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Crossmodal Zeroshot Hashing
Hashing has been widely studied for big data retrieval due to its low st...
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AttentionAware Answers of the Crowd
Crowdsourcing is a relatively economic and efficient solution to collect...
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Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Geometric Primitives
Airborne LiDAR (Light Detection and Ranging) data is widely applied in b...
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Learning to Hash for Indexing Big Data  A Survey
The explosive growth in big data has attracted much attention in designi...
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Compact Hyperplane Hashing with Bilinear Functions
Hyperplane hashing aims at rapidly searching nearest points to a hyperpl...
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Kmeans clustering for efficient and robust registration of multiview point sets
Efficiency and robustness are the important performance for the registra...
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Efficient Architecture Search by Network Transformation
Techniques for automatically designing deep neural network architectures...
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Multiview Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions
Recently, the low rank and sparse (LRS) matrix decomposition has been in...
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Learning to Design Games: Strategic Environments in Deep Reinforcement Learning
In typical reinforcement learning (RL), the environment is assumed given...
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Unsupervised Generative Modeling Using Matrix Product States
Generative modeling, which learns joint probability distribution from tr...
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Jun Wang
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HUAWEI Technologies Co., Ltd.
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Penn State University
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University of Luxembourg
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Shanghai Jiao Tong University
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Microsoft
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Tianjin University
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Tencent
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Rensselaer Polytechnic Institute
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East China Normal University
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University of Kent
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UCL
Chair Professor at UCL Computer Science