Yongqi Zhang

Orcid: 0000-0002-9159-5016

According to our database1, Yongqi Zhang authored at least 39 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation.
CoRR, 2024

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network.
CoRR, 2024

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs.
CoRR, 2024

2023
Measuring and applying digital literacy: Implications for access for the elderly in rural China.
Educ. Inf. Technol., August, 2023

An analysis on the spatiotemporal behavior of inbound tourists in Jiaodong Peninsula based on Flickr geotagged photos.
Int. J. Appl. Earth Obs. Geoinformation, June, 2023

Bilinear Scoring Function Search for Knowledge Graph Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.
Nat. Comput. Sci., 2023

Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning.
CoRR, 2023

Establishing Design Computing and Extended Reality Facilities for Remote Virtual Reality Training.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

PoseVEC: Authoring Adaptive Pose-aware Effects using Visual Programming and Demonstrations.
Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

osmAG: Hierarchical Semantic Topometric Area Graph Maps in the OSM Format for Mobile Robotics.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Combining Self-Supervised and Supervised Learning with Noisy Labels.
Proceedings of the IEEE International Conference on Image Processing, 2023

Learning to Describe for Predicting Zero-shot Drug-Drug Interactions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Relation-aware Ensemble Learning for Knowledge Graph Embedding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Positive-Unlabeled Node Classification with Structure-aware Graph Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
AutoWeird: Weird Translational Scoring Function Identified by Random Search.
CoRR, 2022

Learning Adaptive Propagation for Knowledge Graph Reasoning.
CoRR, 2022

KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning.
CoRR, 2022

Wideband energy harvesting using nonlinear energy sink with bio-inspired hexagonal skeleton structure.
Commun. Nonlinear Sci. Numer. Simul., 2022

Knowledge Graph Reasoning with Relational Digraph.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Efficient Hyper-parameter Search for Knowledge Graph Embedding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Simple and automated negative sampling for knowledge graph embedding.
VLDB J., 2021

Joint computational design of workspaces and workplans.
ACM Trans. Graph., 2021

A Review on Virtual Reality Skill Training Applications.
Frontiers Virtual Real., 2021

Knowledge Graph Reasoning with Relational Directed Graph.
CoRR, 2021

AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding.
CoRR, 2021

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Toward Automatic Audio Description Generation for Accessible Videos.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Exertion-aware path generation.
ACM Trans. Graph., 2020

Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding.
CoRR, 2020

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoSF: Searching Scoring Functions for Knowledge Graph Embedding.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Neural Recurrent Structure Search for Knowledge Graph Embedding.
CoRR, 2019

AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding.
CoRR, 2019

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Pose-Guided Level Design.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Exercise Intensity-Driven Level Design.
IEEE Trans. Vis. Comput. Graph., 2018

XOGAN: One-to-Many Unsupervised Image-to-Image Translation.
CoRR, 2018


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