Zheng Wen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
GCN-based weakly-supervised community detection with updated structure centres selection.
Connect. Sci., December, 2024

Teamwork Reinforcement Learning With Concave Utilities.
IEEE Trans. Mob. Comput., May, 2024

Double similarities weighted multi-instance learning kernel and its application.
Expert Syst. Appl., March, 2024

AVDNet: Joint coronary artery and vein segmentation with topological consistency.
Medical Image Anal., January, 2024

2023
Enriching Word Information Representation for Chinese Cybersecurity Named Entity Recognition.
Neural Process. Lett., December, 2023

MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.
BMC Medical Informatics Decis. Mak., December, 2023

Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators.
Comput. Biol. Medicine, November, 2023

Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder-Decoder Model.
IEEE Intell. Transp. Syst. Mag., 2023

Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics.
CoRR, 2023

MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Contextual Knowledge Learning for Dialogue Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks.
IEEE Trans. Geosci. Remote. Sens., 2022

Improving robustness for pose estimation via stable heatmap regression.
Neurocomputing, 2022

MulSimNet: A multi-branch sub-interest matching network for personalized recommendation.
Neurocomputing, 2022

Spatial Interaction Analysis of Shared Bicycles Mobility Regularity and Determinants: A Case Study of Six Main Districts, Beijing.
ISPRS Int. J. Geo Inf., 2022

Multi-instance inflated 3D CNN for classifying urine red blood cells from multi-focus videos.
IET Image Process., 2022

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective.
CoRR, 2022

Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network.
Comput. Methods Programs Biomed., 2022

Neural Contextual Bandits with Deep Representation and Shallow Exploration.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring Set Similarity for Dense Self-supervised Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Quantitative assessment of interstitial lung disease based on RDNet convolutional network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Review of light field technologies.
Vis. Comput. Ind. Biomed. Art, 2021

Web Service Clustering Approach Based on Network and Fused Document-Based and Tag-Based Topics Similarity.
Int. J. Web Serv. Res., 2021

How to Measure a Two-Sided Market.
Entropy, 2021

On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions.
CoRR, 2021

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Joint Online Learning and Decision-making via Dual Mirror Descent.
Proceedings of the 38th International Conference on Machine Learning, 2021

Cascade Image Matting with Deformable Graph Refinement.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Knowledge-Grounded Dialogue Generation with Term-level De-noising.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization.
CoRR, 2020

Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems.
CoRR, 2020

Siamese Keypoint Prediction Network for Visual Object Tracking.
CoRR, 2020

Position and Force Control of a Twisted and Coiled Polymeric Actuator.
IEEE Access, 2020

Adaptive Wasserstein Hourglass for Weakly Supervised RGB 3D Hand Pose Estimation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Budgeted Online Influence Maximization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Structured Policy Iteration for Linear Quadratic Regulator.
Proceedings of the 37th International Conference on Machine Learning, 2020

Graphical Models Meet Bandits: A Variational Thompson Sampling Approach.
Proceedings of the 37th International Conference on Machine Learning, 2020

Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets.
Proceedings of the Computer Vision - ECCV 2020, 2020

Kinematic Analysis of Drawing Movements in Chinese Primary Schoolchildren.
Proceedings of the CNIOT 2020: 2020 International Conference on Computing, 2020

Fast Traffic Sign Recognition Algorithm Based on Multi-scale Convolutional Neural Network.
Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

Traffic Flow Prediction via Spatial Temporal Neural Network "ResLS-C".
Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

Multi-step traffic flow prediction method based on the Conv1D + LSTM.
Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

Spectral Clustering of Web Services by Fusing Document-based and Tag-based Topics Similarity.
Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

Explicit Knowledge Distillation for 3D Hand Pose Estimation from Monocular RGB.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Nested-Wasserstein Self-Imitation Learning for Sequence Generation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Improving Adversarial Text Generation by Modeling the Distant Future.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Benchmark and Baseline for Language-Driven Image Editing.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Stochastic Online Learning with Probabilistic Graph Feedback.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB.
CoRR, 2019

Waterfall Bandits: Learning to Sell Ads Online.
CoRR, 2019

StyleRemix: An Interpretable Representation for Neural Image Style Transfer.
CoRR, 2019

End-to-end Hand Mesh Recovery from a Monocular RGB Image.
CoRR, 2019

Scalable Thompson Sampling via Optimal Transport.
CoRR, 2019

Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.
Proceedings of the 36th International Conference on Machine Learning, 2019

End-to-End Hand Mesh Recovery From a Monocular RGB Image.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Enhancing Conversational Dialogue Models with Grounded Knowledge.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Scalable Thompson Sampling via Optimal Transport.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Conservative Exploration using Interleaving.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
MixProTool: A Powerful and Comprehensive Web Tool for Analyzing and Visualizing Multigroup Proteomics Data.
J. Comput. Biol., 2018

Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.
CoRR, 2018

Online Diverse Learning to Rank from Partial-Click Feedback.
CoRR, 2018

New Insights into Bootstrapping for Bandits.
CoRR, 2018

Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach.
CoRR, 2018

Efficient online recommendation via low-rank ensemble sampling.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

SpectralLeader: Online Spectral Learning for Single Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Scalar Posterior Sampling with Applications.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Offline Evaluation of Ranking Policies with Click Models.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Code-Aided Channel Tracking and Decoding Over Sparse Fast-Fading Multipath Channels With an Application to Train Backbone Networks.
IEEE Trans. Intell. Transp. Syst., 2017

Mode transformation and united control mechanism supporting wavelength division multiplexing Ethernet passive optical network and orthogonal frequency division multiplexing passive optical network in multi-subsystem-based virtual passive optical network.
IET Commun., 2017

Stochastic Low-Rank Bandits.
CoRR, 2017

Posterior Sampling for Large Scale Reinforcement Learning.
CoRR, 2017

SpectralFPL: Online Spectral Learning for Single Topic Models.
CoRR, 2017

Diffusion Independent Semi-Bandit Influence Maximization.
CoRR, 2017

Does Weather Matter?: Causal Analysis of TV Logs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Get to the Bottom: Causal Analysis for User Modeling.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Profit Maximization for Online Advertising Demand-Side Platforms.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

An Interactive Points of Interest Guidance System.
Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Bernoulli Rank-1 Bandits for Click Feedback.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Learning to Rank in Stochastic Click Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

Model-Independent Online Learning for Influence Maximization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Rank-1 Bandits.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Topology Discovery for Linear Wireless Networks With Application to Train Backbone Inauguration.
IEEE Trans. Intell. Transp. Syst., 2016

Differential Network Coded Transmission for Two-Way Relay Networks with Large Antenna Array.
J. Commun., 2016

Influence Maximization with Semi-Bandit Feedback.
CoRR, 2016

Cascading Bandits for Large-Scale Recommendation Problems.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

DCM Bandits: Learning to Rank with Multiple Clicks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

GraB: Visual Saliency via Novel Graph Model and Background Priors.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Optimal Demand Response Using Device-Based Reinforcement Learning.
IEEE Trans. Smart Grid, 2015

Selecting Weight Functions to Spur Competition in Quasi-Proportional Auctions.
CoRR, 2015

Cascading Bandits.
CoRR, 2015

Exponential Weight Functions for Quasi-Proportional Auctions.
CoRR, 2015

Combinatorial Cascading Bandits.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal Greedy Diversity for Recommendation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Efficient Learning in Large-Scale Combinatorial Semi-Bandits.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Cascading Bandits: Learning to Rank in the Cascade Model.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Efficient Learning in Large-Scale Combinatorial Semi-Bandits.
CoRR, 2014

Learning to Act Greedily: Polymatroid Semi-Bandits.
CoRR, 2014

DUM: Diversity-Weighted Utility Maximization for Recommendations.
CoRR, 2014

Matroid Bandits: Fast Combinatorial Optimization with Learning.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Diversified Utility Maximization for Recommendations.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Large-Scale Optimistic Adaptive Submodularity.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Adaptive Submodular Maximization in Bandit Setting.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Grammatical Error Correction Using Feature Selection and Confidence Tuning.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Sequential Bayesian Search.
Proceedings of the 30th International Conference on Machine Learning, 2013

A Hybrid Model For Grammatical Error Correction.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013

A Lagging Dynamic Analysis of Factors Affecting Coal Consumption.
Proceedings of the Sixth International Conference on Business Intelligence and Financial Engineering, 2013

2012
A predictive adaptive load balancing model.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Tracing the evolution of the mitochondrial protein import machinery.
Comput. Biol. Chem., 2011

Cloning, expression and characterization of a thermostable pullulanase from newly isolated thermophilic Geobacillus sp. LM14-3.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Design of Knight LED system.
Proceedings of the Second International Conference on Digital Image Processing, 2010

Comparative Study of Methods for Monitoring and Controlling a Regional Economic System.
Proceedings of the E-business Technology and Strategy - International Conference, 2010

2009
Simulation of bubbles.
Graph. Model., 2009

Consistency Checking for LSC Specifications.
Proceedings of the TASE 2009, 2009

An analysis of simulation studies on network core-competition.
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

L2C2: logic-based LSC consistency checking.
Proceedings of the 11th International ACM SIGPLAN Conference on Principles and Practice of Declarative Programming, 2009

2007
Estimation of ARX parametric model in regional economic systems.
Syst. Eng., 2007

Visual Simulation of Multiple Unmixable Fluids.
J. Comput. Sci. Technol., 2007

A Novel Synchronization Algorithm for IEEE802.11 TDMA Ad Hoc Network.
Proceedings of the IEEE 4th International Conference on Mobile Adhoc and Sensor Systems, 2007

On the Disturbance Response and External Stability of a Saturating Static-Feedback-Controlled Double Integrator.
Proceedings of the American Control Conference, 2007

2004
Parallel Mining Association Rules with Bit String Array and Its Application in Power System.
Proceedings of the 2nd International Conference Computing, 2004


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