Aosong Feng

Orcid: 0000-0002-5474-3796

According to our database1, Aosong Feng authored at least 32 papers between 2020 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
VeriGUI: Verifiable Long-Chain GUI Dataset.
CoRR, August, 2025

Personalized Safety Alignment for Text-to-Image Diffusion Models.
CoRR, August, 2025

TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval.
CoRR, June, 2025

Learning to Reason without External Rewards.
CoRR, May, 2025

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning.
CoRR, May, 2025

CSPLADE: Learned Sparse Retrieval with Causal Language Models.
CoRR, April, 2025

MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering.
CoRR, March, 2025

MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding.
CoRR, February, 2025

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

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

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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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