Yixin Wang

Orcid: 0000-0002-8520-8411

According to our database1, Yixin Wang authored at least 235 papers between 2000 and 2024.

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Bibliography

2024
WHU-Smartphone: A Large-Scale Multi-Traffic Scene GNSS Dataset of Android Smartphones and a Low-Cost GNSS Module.
IEEE Trans. Intell. Transp. Syst., November, 2024

Medical Artificial Intelligence Information Disclosure on Healthcare Professional Involvement in Innovation: A Transactional Theory of Stress and Coping Model.
Int. J. Hum. Comput. Interact., November, 2024

A Survey of Visual Transformers.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Deep Learning in Single-cell Analysis.
ACM Trans. Intell. Syst. Technol., June, 2024

AFMCT: adaptive fusion module based on cross-modal transformer block for 3D object detection.
Mach. Vis. Appl., May, 2024

A Resource-Efficient Coexistence Scheme for Massive Machine-Type and Human-to-Human Communications.
IEEE Trans. Commun., March, 2024

MMPL: Multi-Objective Multi-Party Learning via Diverse Steps.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Control and Implementation of a Fluidic Elastomer Actuator for Active Suppression of Hand Tremor.
IEEE Robotics Autom. Lett., February, 2024

Probabilistic consistency of stochastic multiplicative comparison matrices based on Monte Carlo simulation.
Inf. Sci., January, 2024

High-Resolution SAR Imaging Characteristics for Multiple Scattering of Rotating Targets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Faster Randomized Partial Trace Estimation.
SIAM J. Sci. Comput., 2024

Optimization-based Causal Estimation from Heterogeneous Environments.
J. Mach. Learn. Res., 2024

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.
J. Comput. Biol., 2024

Causal fairness assessment of treatment allocation with electronic health records.
J. Biomed. Informatics, 2024

Multi-robot navigation based on velocity obstacle prediction in dynamic crowded environments.
Ind. Robot, 2024

Trust it or not: Confidence-guided automatic radiology report generation.
Neurocomputing, 2024

Electroencephalogram-based emotion recognition using factorization temporal separable convolution network.
Eng. Appl. Artif. Intell., 2024

Ordinal Preference Optimization: Aligning Human Preferences via NDCG.
CoRR, 2024

Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.
CoRR, 2024

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.
CoRR, 2024

Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation.
CoRR, 2024

PharmGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry.
CoRR, 2024

Identifying Nonstationary Causal Structures with High-Order Markov Switching Models.
CoRR, 2024

How In-Context Learning Emerges from Training on Unstructured Data: On the Role of Co-Occurrence, Positional Information, and Noise Structures.
CoRR, 2024

Addressing Discretization-Induced Bias in Demographic Prediction.
CoRR, 2024

PatentGPT: A Large Language Model for Intellectual Property.
CoRR, 2024

On the Challenges and Opportunities in Generative AI.
CoRR, 2024

Coding Theorems for Repetition and Superposition Codes over Binary-Input Output-Symmetric Channels.
CoRR, 2024

A RRT based path planning scheme for multi-DOF robots in unstructured environments.
Comput. Electron. Agric., 2024

Joint Channel Estimation and User Activity Detection for mmWave Grant-Free Massive MTC Networks Under Pilot Contamination Attack.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Data Aggregation Based Massive Machine-Type Communications Coexisting with Human-to-Human Communications: Mechanism Design and Performance Analysis.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Assessing the Impact of Patterning Effect on Quantum Key Distribution.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Causal Inference for Human-Language Model Collaboration.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Random Staircase Generator Matrix Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Multipath Imaging for Vehicle Targets in Non-Los Urban SAR.
Proceedings of the IGARSS 2024, 2024

On the Identifiability of Switching Dynamical Systems.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Uncertainty Calibration for Tool-Using Language Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLMs Are Prone to Fallacies in Causal Inference.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A causality-inspired plus-minus model for player evaluation in team sports.
Proceedings of the Causal Learning and Reasoning, 2024

Offline Policy Evaluation and Optimization Under Confounding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Multi-Domain Causal Representation Learning via Weak Distributional Invariances.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
An enhanced bacterial colony optimization with dynamic multi-leader co-evolution for multiobjective optimization problems.
Expert Syst. J. Knowl. Eng., December, 2023

Multi-Service Oriented Joint Channel Estimation and Multi-User Detection Scheme for Grant-Free Massive MTC Networks.
IEEE Trans. Commun., November, 2023

Joint Source Channel Anytime Coding Based on Spatially Coupled Repeat-Accumulate Codes.
IEEE Trans. Commun., November, 2023

High-Speed Rotary Motor for Multidomain Operations Driven by Resonant Dielectric Elastomer Actuators.
Adv. Intell. Syst., November, 2023

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
Medical Image Anal., August, 2023

Clarifying trust of materials property predictions using neural networks with distribution-specific uncertainty quantification.
Mach. Learn. Sci. Technol., June, 2023

Learning Equilibria in Matching Markets with Bandit Feedback.
J. ACM, June, 2023

A gated temporal-separable attention network for EEG-based depression recognition.
Comput. Biol. Medicine, May, 2023

Stochastic weight averaging enhanced temporal convolution network for EEG-based emotion recognition.
Biomed. Signal Process. Control., May, 2023

A Reinforcement Learning Handover Parameter Adaptation Method Based on LSTM-Aided Digital Twin for UDN.
Sensors, February, 2023

An Asymmetric-Error-Aware LDPC Decoding Algorithm for DNA Storage.
IEEE Commun. Lett., January, 2023

Adjusting Machine Learning Decisions for Equal Opportunity and Counterfactual Fairness.
Trans. Mach. Learn. Res., 2023

Detecting incidental correlation in multimodal learning via latent variable modeling.
Trans. Mach. Learn. Res., 2023

Deriving a Fast P/S Decoupled Operator From 3-D Anisotropic Christoffel Equation With Its Application in Elastic Reverse Time Migration and Angle-Domain Common-Image Gathers.
IEEE Trans. Geosci. Remote. Sens., 2023

Velocity-Adaptive Irregular Point Spread Function Deconvolution Imaging Using X-Shaped Denoising Diffusion Filtering.
IEEE Trans. Geosci. Remote. Sens., 2023

Addressing Hindsight Bias in Multigoal Reinforcement Learning.
IEEE Trans. Cybern., 2023

Modelling, Characterization of Data-Dependent and Process-Dependent Errors in DNA Data Storage.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Disentangled Adversarial Domain Adaptation for Phonation Mode Detection in Singing and Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Semisupervised Bacterial Heuristic Feature Selection Algorithm for High-Dimensional Classification with Missing Labels.
Int. J. Intell. Syst., 2023

The Empathic Metaverse: An Assistive Bioresponsive Platform For Emotional Experience Sharing.
CoRR, 2023

Partially Constrained GRAND of Linear Block Codes.
CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.
CoRR, 2023

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph.
CoRR, 2023

On the Identifiability of Markov Switching Models.
CoRR, 2023

Bidirectional Attention as a Mixture of Continuous Word Experts.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Heightened Empathy: A Multi-user Interactive Experience in a Bioresponsive Virtual Reality.
Proceedings of the ACM SIGGRAPH 2023 Immersive Pavilion, 2023

The Sample Complexity of Online Contract Design.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

On Learning Necessary and Sufficient Causal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Imputing Brain Measurements Across Data Sets via Graph Neural Networks.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

On Reliably Decodable Information Bits of Linear Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Learnable Query Guided Representation Learning for Treatment Effect Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Global Spatial Representation: EEG Correcting for Subject-Independent Emotion Recognition.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Research on the Construction and Application of Smart Hospital Based on Mobile Terminal Security Aggregation Business Management Platform.
Proceedings of the Multimedia Technology and Enhanced Learning, 2023

Research on Pain Information Management System Based on Deep Learning.
Proceedings of the Multimedia Technology and Enhanced Learning, 2023

De-Biasing Methods in Neural Networks: A Survey.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Interventional Causal Representation Learning.
Proceedings of the International Conference on Machine Learning, 2023

Path Planning for Muck Removal Robot of Tunnel Boring Machine.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Long-Tailed Recognition with Causal Invariant Transformation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Phonation Mode Detection in Singing: A Singer Adapted Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

Interpretable Multi-Scale Neural Network for Granger Causality Discovery.
Proceedings of the IEEE International Conference on Acoustics, 2023

Delayed and Indirect Impacts of Link Recommendations.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Recommendation Systems with Distribution-Free Reliability Guarantees.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

R2L-Net: Rapid Medical Image Segmentation Network Regularized by Self-Supervised Relative Localization Task.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Learning to Optimize with Stochastic Dominance Constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Identifiable Deep Generative Models via Sparse Decoding.
Trans. Mach. Learn. Res., 2022

Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias.
Trans. Mach. Learn. Res., 2022

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

3-D Least-Squares Reverse Time Migration in Curvilinear-τ Domain.
IEEE Trans. Geosci. Remote. Sens., 2022

A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment.
IEEE Trans Autom. Sci. Eng., 2022

Field Model-Based Cultural Diffusion Patterns and GIS Spatial Analysis Study on the Spatial Diffusion Patterns of Qijia Culture in China.
Remote. Sens., 2022

SSA-Net: Spatial Scale Attention Network for Image-Based Geo-Localization.
IEEE Geosci. Remote. Sens. Lett., 2022

Adjusting for indirectly measured confounding using large-scale propensity score.
J. Biomed. Informatics, 2022

Multicriteria recommendation based on bacterial foraging optimization.
Int. J. Intell. Syst., 2022

Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition.
IEEE CAA J. Autom. Sinica, 2022

Offline Policy Evaluation and Optimization under Confounding.
CoRR, 2022

A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.
CoRR, 2022

Dynamic Survival Transformers for Causal Inference with Electronic Health Records.
CoRR, 2022

Predicting from Predictions.
CoRR, 2022

Valid Inference after Causal Discovery.
CoRR, 2022

Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection.
CoRR, 2022

Breaking Feedback Loops in Recommender Systems with Causal Inference.
CoRR, 2022

Transmission of Bernoulli Sources Using Convolutional LDGM Codes.
CoRR, 2022

Augmenting Neural Networks with Priors on Function Values.
CoRR, 2022

Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models.
CoRR, 2022

Common quantitative characteristics of music melodies - pursuing the constrained entropy maximization casually in composition.
Sci. China Inf. Sci., 2022

Concatenation of SC-LDGM Codes with Outer BCH Codes.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Diverse Traffic Demands Oriented Multi-User Detection for Grant-Free Massive MTC Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

A Successive Deep Q-Learning Based Distributed Handover Scheme for Large-Scale LEO Satellite Networks.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Multi-objective Bacterial Colony Optimization Based on Multi-subsystem for Environmental Economic Dispatching.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

It's Me: VR-based Journaling for Improved Cognitive Self-Regulation.
Proceedings of the SIGGRAPH Asia 2022 Posters, 2022

Anticipating Performativity by Predicting from Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Empirical Gateaux Derivatives for Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

On the Dataset Quality Control for Image Registration Evaluation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A New Framework for Proving Coding Theorems for Linear Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Improved Motion Planning Algorithms Based on Rapidly-exploring Random Tree: A Review.
Proceedings of the 8th International Conference on Communication and Information Processing, 2022

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive and Cooperative Resource Scheduling for Satellite-Terrestrial Networks.
Proceedings of the IEEE Global Communications Conference, 2022

Partial Identification with Noisy Covariates: A Robust Optimization Approach.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Rate-Configurable SC-LDGM Codes Concatenated with Zipper Codes for Optical Communication.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021
Machine Learning-Based Resource Allocation in Satellite Networks Supporting Internet of Remote Things.
IEEE Trans. Wirel. Commun., 2021

MMFN: Multimodal Information Fusion Networks for 3D Model Classification and Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., 2021

A prototype-based SPD matrix network for domain adaptation EEG emotion recognition.
Pattern Recognit., 2021

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.
Medical Image Anal., 2021

Big data analytics for intelligent online education.
J. Intell. Fuzzy Syst., 2021

Concurrent Reconfiguration of Resource-Oriented Emergency TT&C Mission Planning for Space Information Networks.
J. Commun. Inf. Networks, 2021

Concatenated Code Design for Constrained DNA Data Storage with Asymmetric Errors.
CoRR, 2021

Identifiable Variational Autoencoders via Sparse Decoding.
CoRR, 2021

Optimization-based Causal Estimation from Heterogenous Environments.
CoRR, 2021

Desiderata for Representation Learning: A Causal Perspective.
CoRR, 2021

Confidence-Guided Radiology Report Generation.
CoRR, 2021

Multi-Source Causal Inference Using Control Variates.
CoRR, 2021

Data Mining Algorithm for Demand Forecast Analysis on Flash Sales Platform.
Complex., 2021

Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
Comput. Methods Programs Biomed., 2021

Feature Selection for Image Classification Based on Bacterial Colony Optimization.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Bacterial Foraging Optimization with Leader Selection Strategy for Bi-objective Optimization.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Posterior Collapse and Latent Variable Non-identifiability.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Equilibria in Matching Markets from Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Bayesian Causal Inference for Real World Interactive Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Research on Multi-agency Data Fusion Mode Under Regional Medical Integration.
Proceedings of the Multimedia Technology and Enhanced Learning, 2021

Research on Constructing Regional Telemedicine Imaging Diagnosis Center Based on Ctirix Technology.
Proceedings of the Multimedia Technology and Enhanced Learning, 2021

A Proxy Variable View of Shared Confounding.
Proceedings of the 38th International Conference on Machine Learning, 2021

An Empirical Study of Social E-commerce Platform on Users' Intention: Take WeChat E-commerce Group as an Example.
Proceedings of the ICEME 2021: The 12th International Conference on E-business, Management and Economics, Beijing, China, July 17, 2021

A Multi-objective Structure Variant Bacterial Heuristic Feature Selection Method in High-dimensional Data Classification.
Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

EEG-Based Depression Recognition Using Intrinsic Time-scale Decomposition and Temporal Convolution Network.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

2020
Sparse Principal Component Analysis Based on Least Trimmed Squares.
Technometrics, 2020

Oligo Design with Single Primer Binding Site for High Capacity DNA-Based Data Storage.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity.
IEEE Trans. Cogn. Dev. Syst., 2020

Evaluating Critical Factors Influencing the Reliability of Emergency Logistics Systems Using Multiple-Attribute Decision Making.
Symmetry, 2020

Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation.
CoRR, 2020

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation.
CoRR, 2020

Towards Clarifying the Theory of the Deconfounder.
CoRR, 2020

Temporal convolution-network-based models for modeling maize evapotranspiration under mulched drip irrigation.
Comput. Electron. Agric., 2020

MVCLN: Multi-View Convolutional LSTM Network for Cross-Media 3D Shape Recognition.
IEEE Access, 2020

Augmented Unlocking Techniques for Smartphones Using Pre-Touch Information.
Proceedings of the SUI '20: Symposium on Spatial User Interaction, Virtual Event, Canada, October 31, 2020

Camera Re-localization by Training Multi-dataset Simultaneously via Convolutional Neural Network.
Proceedings of the SPML 2020: 3rd International Conference on Signal Processing and Machine Learning, 2020

Causal Inference for Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Point process models for sequence detection in high-dimensional neural spike trains.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Double-Uncertainty Weighted Method for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Thermodynamically Stable DNA Code Design using a Similarity Significance Model.
Proceedings of the IEEE International Symposium on Information Theory, 2020

FGB: Feature Guidance Branch for Organ Detection in Medical Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Harmonics Based Representation in Clarinet Tone Quality Evaluation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The GFPA Finger: Parallel-Adaption Merged Robot Finger based on Gear-Flexible Belt Mechanism.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

Joint Source Channel Anytime Coding.
Proceedings of the IEEE Global Communications Conference, 2020

Modality-Pairing Learning for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures.
Proceedings of the AMIA 2020, 2020

2019
Adaptive Strategy of General Centralized Feedback Model for Interference Alignment in Asymmetric Interference Networks.
IEEE Trans. Commun., 2019

Robust variable screening for regression using factor profiling.
Stat. Anal. Data Min., 2019

Understanding and Encouraging Online Reviewing With a Selection-Based Review System.
Interact. Comput., 2019

Construction of Bio-Constrained Code for DNA Data Storage.
IEEE Commun. Lett., 2019

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.
CoRR, 2019

The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019).
CoRR, 2019

Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes.
CoRR, 2019

Multiple Causes: A Causal Graphical View.
CoRR, 2019

Equal Opportunity and Affirmative Action via Counterfactual Predictions.
CoRR, 2019

The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs).
CoRR, 2019

Using Embeddings to Correct for Unobserved Confounding.
CoRR, 2019

Optimized Code Design for Constrained DNA Data Storage With Asymmetric Errors.
IEEE Access, 2019

Variational Bayes under Model Misspecification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Using Embeddings to Correct for Unobserved Confounding in Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Design and Implementation of a Virtual Treadmill System.
Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Multimodal Data Fusion of Spatial Fields in Sensor Networks.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

An Energy-Efficient Design for Mobile UAV Fire Surveillance Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

EEG-Based Emotion Recognition with Prototype-Based Data Representation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

EEG-Based Emotion Recognition with Similarity Learning Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
The Deconfounded Recommender: A Causal Inference Approach to Recommendation.
CoRR, 2018

The Blessings of Multiple Causes.
CoRR, 2018

Injection-locked Homodyne Detection for Higher-order QAM Transmission.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Black Box FDR.
Proceedings of the 35th International Conference on Machine Learning, 2018

Facial Expressions of Sentence Comprehension.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

AFSMA: An Enhanced Artificial Fish Swarm Algorithm Based on Mutuality for Community Detection.
Proceedings of the 2nd International Conference on Big Data Research, 2018

2017
A Novel Joint Power and Feedback Bit Allocation Interference Alignment Scheme for Wireless Sensor Networks.
Sensors, 2017

Frequentist Consistency of Variational Bayes.
CoRR, 2017

Joint Dynamic Spectrum Access and Multi-Relay Selection: A Matching-Theory-Based Approach.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Single-carrier 216 Gbit/s, 12 Gsymbol/s 512 QAM coherent transmission over 160 km with injection-locked homodyne detection.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

Robust Probabilistic Modeling with Bayesian Data Reweighting.
Proceedings of the 34th International Conference on Machine Learning, 2017

Evaluating Bayesian Models with Posterior Dispersion Indices.
Proceedings of the 34th International Conference on Machine Learning, 2017

80 Gbit/s/ch, 256 QAM Digital Coherent Optical Transmission System with Injection-Locking for Next Generation Mobile Fronthaul Network.
Proceedings of the European Conference on Optical Communication, 2017

2016
A Bayesian hierarchical model for spatial extremes with multiple durations.
Comput. Stat. Data Anal., 2016

Reweighted Data for Robust Probabilistic Models.
CoRR, 2016

2015
A New Open-Loop Fiber Optic Gyro Error Compensation Method Based on Angular Velocity Error Modeling.
Sensors, 2015

First demonstration of digital coherent transmission in a deployed ROADM network with a 120 Gbit/s polarization-multiplexed 64 QAM signal.
IEICE Electron. Express, 2015

Data glove control of robot hand with force telepresence.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

256 QAM (polarization-multiplexed, 5 Gsymbol/s) coherent transmission with an injection-locked homodyne detection technique.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2015

RSSI-Based Bluetooth Indoor Localization.
Proceedings of the 11th International Conference on Mobile Ad-hoc and Sensor Networks, 2015

2014
60 Gbit/s, 64 QAM LD-based injection-locked coherent heterodyne transmission over 160 km with a spectral efficiency of 9 bit/s/Hz.
IEICE Electron. Express, 2014

2013
An LD-based ultra-low phase noise opll circuit using an optical voltage controlled oscillator.
Proceedings of the 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), 2013

2011
Polarization-multiplexed, 10Gsymbol/s, 64QAM coherent transmission over 150km with OPLL-based homodyne detection employing narrow linewidth LDs.
IEICE Electron. Express, 2011

2010
Performance enhancement for impairment-aware SRLG failure protection in wavelength-routed optical networks.
Photonic Netw. Commun., 2010

2008
Shared partial path protection in WDM networks with shared risk link groups.
Photonic Netw. Commun., 2008

Reducing vulnerability of shared-path protection subject to double-link failures in WDM mesh networks.
Photonic Netw. Commun., 2008

Best Effort Shared Risk Link Group (SRLG) Failure Protection in WDM Networks.
Proceedings of IEEE International Conference on Communications, 2008

2007
Multiple link failure recovery in survivable optical networks.
Photonic Netw. Commun., 2007

iOPEN Network: Operation Mechanisms and Experimental Study.
Proceedings of IEEE International Conference on Communications, 2007

Providing Differentiated Quality-of-Protection for Surviving Double-Link Failures in WDM Mesh Networks.
Proceedings of IEEE International Conference on Communications, 2007

2006
Hybrid protection in WDM networks with shared risk link groups.
Photonic Netw. Commun., 2006

WDM optical network testbed and distributed storage application.
IEEE Commun. Mag., 2006

Advanced data modulation techniques for WDM transmission.
IEEE Commun. Mag., 2006

iOPEN testbed for dynamic resource provisioning in metro ethernet networks.
Proceedings of the 2nd International Conference on Testbeds & Research Infrastructures for the DEvelopment of NeTworks & COMmunities (TRIDENTCOM 2006), 2006

Complementary Protection Under Double-Link Failure for Survivable Optical Networks.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

2000
POWER_SAGE: comparing statistical tests for SAGE experiments.
Bioinform., 2000


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