Jiang Bian

Orcid: 0000-0001-6997-1989

Affiliations:

Baidu Research, Big Data Laboratory, Beijing, China
Missouri University of Science and Technology, Department of Computer Science, Rolla, MO, USA

According to our database¹, Jiang Bian authored at least 49 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search.

[BibT_eX]

[DOI]

Mach. Learn., July, 2024

P2ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

A Simple yet Effective Framework for Active Learning to Rank.

[BibT_eX]

[DOI]

Mach. Intell. Res., February, 2024

MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2024

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2024

Correction to: AA-forecast: anomaly-aware forecast for extreme events.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2024

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).

[BibT_eX]

[DOI]

CoRR, 2024

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned.

[BibT_eX]

[DOI]

CoRR, 2024

Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.

[BibT_eX]

[DOI]

CoRR, 2024

When Search Engine Services meet Large Language Models: Visions and Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

GLARE: A Dataset for Traffic Sign Detection in Sun Glare.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2023

$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., September, 2023

AA-forecast: anomaly-aware forecast for extreme events.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., May, 2023

Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2023

A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

TiC: Exploring Vision Transformer in Convolution.

[BibT_eX]

[DOI]

CoRR, 2023

Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial.

[BibT_eX]

[DOI]

CoRR, 2023

Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2022

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

GLARE: A Dataset for Traffic Sign Detection in Sun Glare.

[BibT_eX]

[DOI]

CoRR, 2022

P2A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.

[BibT_eX]

[DOI]

CoRR, 2022

Practical Strategies of Active Learning to Rank for Web Search.

[BibT_eX]

[DOI]

CoRR, 2022

2021

COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Sampling Sparse Representations with Randomized Measurement Langevin Dynamics.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

MODES: model-based optimization on distributed embedded systems.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2021

Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases.

[BibT_eX]

[DOI]

Appl. Intell., 2021

2020

MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019

$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing.

[BibT_eX]

[DOI]

IEEE Access, 2019

Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Real-Time Systems Symposium, 2019

On Generating Dominators of Customer Preferences.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

SpHMC: Spectral Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

De-biasing Covariance-Regularized Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

CSWA: Aggregation-Free Spatial-Temporal Community Sensing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.

[BibT_eX]

[DOI]

CoRR, 2017

AWDA: An Adaptive Wishart Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-party Sparse Discriminant Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Jiang Bian

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