Yuyang Ye

Orcid: 0000-0002-0726-0468

According to our database1, Yuyang Ye authored at least 30 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.
IEEE Trans. Knowl. Data Eng., November, 2024

Timing-Driven Technology Mapping Approximation Based on Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2024

Fast and Accurate Aging-Aware Cell Timing Model via Graph Learning.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.
CoRR, 2024

Learning-driven Physically-aware Large-scale Circuit Gate Sizing.
CoRR, 2024

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Graph-Learning-Driven Prediction Method for Combined Electromigration and Thermomigration Stress on Multi-Segment Interconnects.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ARS-Flow: A Design Space Exploration Flow for Accelerator-rich System based on Active Learning.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

An Optimization-aware Pre-Routing Timing Prediction Framework Based on Heterogeneous Graph Learning.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Heterogeneous Graph Attention Network Based Statistical Timing Library Characterization with Parasitic RC Reduction.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
Aging-Aware Critical Path Selection via Graph Attention Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Optimized matrix ordering of sparse linear solver using a few-shot model for circuit simulation.
Integr., November, 2023

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FPGNN-ATPG: An Efficient Fault Parallel Automatic Test Pattern Generator.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Fast and Accurate Wire Timing Estimation Based on Graph Learning.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng., 2022

Fine-grained action segmentation based on complementary Frame-level Classification Model and Action-wise Regression Model.
Displays, 2022

2021
Boosting Method in Approximately Solving Linear Programming with Fast Online Algorithm.
CoRR, 2021

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2019
Long-term Joint Scheduling for Urban Traffic.
CoRR, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multiple Pairwise Ranking with Implicit Feedback.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016


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