Xingyao Zhang

Orcid: 0000-0002-8874-9520

According to our database1, Xingyao Zhang authored at least 25 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Grounding Language Models for Visual Entity Recognition.
CoRR, 2024

2023
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.
CoRR, 2023

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.
CoRR, 2023

Instructed Language Models with Retrievers Are Powerful Entity Linkers.
CoRR, 2023

JaxPruner: A concise library for sparsity research.
CoRR, 2023

A Static Model of a Notched Continuum Robot with Non-Constant Curvature for Minimally Invasive Surgery: Base on Taylor Expansion Approach.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Instructed Language Models with Retrievers Are Powerful Entity Linkers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor.
ACM Trans. Archit. Code Optim., 2022

Randomness in Neural Network Training: Characterizing the Impact of Tooling.
Proceedings of Machine Learning and Systems 2022, 2022

2021
Enabling Highly Efficient Capsule Networks Processing Through Software-Hardware Co-Design.
IEEE Trans. Computers, 2021

Knowledge Enhanced Fact Checking and Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020
Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users.
ACM Trans. Embed. Comput. Syst., 2020

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction.
CoRR, 2020

Patient-Trial Matching with Deep Embedding and Entailment Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

A Graph Representation of Semi-structured Data for Web Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

PIM-VR: Erasing Motion Anomalies In Highly-Interactive Virtual Reality World with Customized Memory Cube.
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

Class Imbalance Data-Generation for Software Defect Prediction.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018
Towards Memory Friendly Long-Short Term Memory Networks (LSTMs) on Mobile GPUs.
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2016
Redefining QoS and customizing the power management policy to satisfy individual mobile users.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

2015
Characterizing, modeling, and improving the QoE of mobile devices with low battery level.
Proceedings of the 48th International Symposium on Microarchitecture, 2015


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