Aosong Feng

Orcid: 0000-0002-5474-3796

According to our database1, Aosong Feng authored at least 23 papers between 2020 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
Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective.
CoRR, 2024

Hyperbolic Fine-tuning for Large Language Models.
CoRR, 2024

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education.
CoRR, 2024

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs.
CoRR, 2024

From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
CoRR, 2024

Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition.
CoRR, 2024

An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control.
CoRR, 2024

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education.
CoRR, 2024

Integrating View Conditions for Image Synthesis.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
DINC: Toward Distributed In-Network Computing.
PACMNET, 2023

Integrating View Conditions for Image Synthesis.
CoRR, 2023

XDLM: Cross-lingual Diffusion Language Model for Machine Translation.
CoRR, 2023

HiPool: Modeling Long Documents Using Graph Neural Networks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Quantitative Theory of Bottleneck Structures for Data Networks.
CoRR, 2022

Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting.
CoRR, 2022

MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KerGNNs: Interpretable Graph Neural Networks with Graph Kernels.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Designing data center networks using bottleneck structures.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

2020
Energy-efficient and Robust Cumulative Training with Net2Net Transformation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020


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