Aosong Feng

According to our database, Aosong Feng authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying

CoRR, 2024

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

Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas

CoRR, 2024

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

Aosong Feng, Weikang Qiu, Jinbin Bai, Kaicheng Zhou, Zhen Dong, Xiao Zhang, Rex Ying, Leandros Tassiulas

CoRR, 2024

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

Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint.

Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

DINC: Toward Distributed In-Network Computing.

Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman

PACMNET, 2023

Integrating View Conditions for Image Synthesis.

Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou, Mike Zheng Shou

CoRR, 2023

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

Linyao Chen, Aosong Feng, Boming Yang, Zihui Li

CoRR, 2023

HiPool: Modeling Long Documents Using Graph Neural Networks.

Irene Li, Aosong Feng, Dragomir Radev, Rex Ying

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.

Aosong Feng, Irene Li, Yuang Jiang, Rex Ying

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Quantitative Theory of Bottleneck Structures for Data Networks.

Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas

CoRR, 2022

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

Aosong Feng, Leandros Tassiulas

CoRR, 2022

MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution.

Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting.

Aosong Feng, Leandros Tassiulas

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KerGNNs: Interpretable Graph Neural Networks with Graph Kernels.

Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Designing data center networks using bottleneck structures.

Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas, Zhenguo Wu, Min Yee Teh, Keren Bergman

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.

Aosong Feng, Priyadarshini Panda

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020