Yuyu Zhang

Orcid: 0000-0002-2460-8323

According to our database1, Yuyu Zhang authored at least 36 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers.
CoRR, 2024

2023
Incorporating visual analytics with knowledge construction in problem-based learning: a qualitative study.
Interact. Learn. Environ., April, 2023

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond.
CoRR, 2023

2022
Knowledge Reasoning with Graph Neural Networks.
PhD thesis, 2022

GNN is a Counter? Revisiting GNN for Question Answering.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments.
IEEE Internet Things J., 2021

Answering Any-hop Open-domain Questions with Iterative Document Reranking.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering.
CoRR, 2020

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Efficient Probabilistic Logic Reasoning with Graph Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Question Directed Graph Attention Network for Numerical Reasoning over Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Hiding sensitive itemsets with multiple objective optimization.
Soft Comput., 2019

Can Graph Neural Networks Help Logic Reasoning?
CoRR, 2019

A Sanitization Approach to Secure Shared Data in an IoT Environment.
IEEE Access, 2019

A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Language Modeling with Shared Grammar.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Counting challenging crowds robustly using a multi-column multi-task convolutional neural network.
Signal Process. Image Commun., 2018

Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion.
Int. J. Fuzzy Syst., 2018

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings.
CoRR, 2018

Cross-Scene Counting Based on Domain Adaptation-Extreme Learning Machine.
IEEE Access, 2018

Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images.
IEEE Access, 2018

A learning-based ALOHA protocol for underwater acoustic sensor networks.
Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems, 2018

A Multiple Objective PSO-Based Approach for Data Sanitization.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018

A Metaheuristic Algorithm for Hiding Sensitive Itemsets.
Proceedings of the Database and Expert Systems Applications, 2018

Variational Reasoning for Question Answering With Knowledge Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Counting congested crowds under wild conditions with a multi-task Inception network.
Commun. Inf. Syst., 2017

On Road Vehicle Detection Using an Improved Faster RCNN Framework with Small-Size Region Up-Scaling Strategy.
Proceedings of the Image and Video Technology, 2017

Crowd Counting from a Still Image Using Multi-scale Fully Convolutional Network with Adaptive Human-Shaped Kernel.
Proceedings of the Image and Video Technology, 2017

Learning Combinatorial Optimization Algorithms over Graphs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Mining of Multiple Fuzzy Frequent Itemsets with Transaction Insertion.
Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications, 2017

2016
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform.
CoRR, 2014

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches.
CoRR, 2013

Psychological advertising: exploring user psychology for click prediction in sponsored search.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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