Hang Yu

Orcid: 0000-0002-5639-0912

Affiliations:
  • Ant Group, Hangzhou, China
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore


According to our database1, Hang Yu authored at least 57 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions.
CoRR, 2024

GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding.
CoRR, 2024

SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy.
CoRR, 2024

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

DUPLEX: Dual GAT for Complex Embedding of Directed Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression.
Proceedings of the Computer Vision - ECCV 2024, 2024

D2LLM: Decomposed and Distilled Large Language Models for Semantic Search.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

BALANCE: Bayesian Linear Attribution for Root Cause Localization.
Proc. ACM Manag. Data, 2023

A Survey on Language Models for Code.
CoRR, 2023

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
CoRR, 2023

BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination.
J. Mach. Learn. Res., 2020

Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models.
CoRR, 2020

Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models.
IEEE Trans. Signal Process., 2019

Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Variational Bayesian Point Set Registration.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas.
IEEE Trans. Signal Process., 2017

A Two-Step Prediction ADC Architecture for Integrated Low Power Image Sensors.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Linear-complexity stochastic variational Bayes inference for SLAM.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
Modeling Spatio-Temporal Extreme Events Using Graphical Models.
IEEE Trans. Signal Process., 2016

An Antivibration Time-Delay Integration CMOS Image Sensor With Online Deblurring Algorithm.
IEEE Trans. Circuits Syst. Video Technol., 2016

A Global-Shutter Centroiding Measurement CMOS Image Sensor With Star Region SNR Improvement for Star Trackers.
IEEE Trans. Circuits Syst. Video Technol., 2016

Variational bayes learning of time-varying graphical models.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Latent tree ensemble of pairwise copulas for spatial extremes analysis.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Variational Bayesian dynamic compressive sensing.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Outlier-insensitive Kalman smoothing and marginal message passing.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
A time delay integration CMOS image sensor with online deblurring algorithm.
Proceedings of the VLSI Design, Automation and Test, 2015

Variational Bayes learning of graphical models with hidden variables.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

An 8-stage time delay integration CMOS image sensor with on-chip polarization pixels.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Variational Bayes learning of multiscale graphical models.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Variational inference for graphical models of multivariate piecewise-stationary time series.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Extreme-Value Graphical Models With Multiple Covariates.
IEEE Trans. Signal Process., 2014

Spatio-temporal graphical models for extreme events.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Design and characterization of radiation-tolerant CMOS 4T Active Pixel Sensors.
Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Network inference and change point detection for piecewise-stationary time series.
Proceedings of the IEEE International Conference on Acoustics, 2014

Extreme-value graphical models with multiple covariates.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sensor fault detection by sparsity optimization.
Proceedings of the IEEE International Conference on Acoustics, 2014

A dual-exposure in-pixel charge subtraction CTIA CMOS image sensor for centroid measurement in star trackers.
Proceedings of the 2014 IEEE Asia Pacific Conference on Circuits and Systems, 2014

2013
Copula Gaussian graphical model for discrete data.
Proceedings of the IEEE International Conference on Acoustics, 2013

A bio-inspired feedforward system for categorization of AER motion events.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Modeling spatially-dependent extreme events with Markov random field priors.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

A Time-Delay-Integration CMOS image sensor with pipelined charge transfer architecture.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Copula Gaussian graphical models with hidden variables.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Copula Gaussian multiscale graphical models with application to geophysical modeling.
Proceedings of the 15th International Conference on Information Fusion, 2012

Modeling extreme events in spatial domain by copula graphical models.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Inferring Brain Networks through Graphical Models with Hidden Variables.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011


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