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2020 – today
- 2024
[c10]Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai:
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint. AISTATS 2024: 2116-2124- [c9]Aosong Feng, Rex Ying, Leandros Tassiulas:
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning. EMNLP (Findings) 2024: 14642-14655 - [c8]Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou:
Integrating View Conditions for Image Synthesis. IJCAI 2024: 7591-7599 - [i17]Rui Yang
, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. CoRR abs/2402.14293 (2024) - [i16]Aosong Feng, Weikang Qiu, Jinbin Bai, Kaicheng Zhou, Zhen Dong, Xiao Zhang, Rex Ying, Leandros Tassiulas:
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control. CoRR abs/2403.04880 (2024) - [i15]Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas:
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition. CoRR abs/2403.04882 (2024) - [i14]Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai:
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint. CoRR abs/2403.10585 (2024) - [i13]Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying:
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR abs/2404.01340 (2024) - [i12]Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying:
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. CoRR abs/2406.12072 (2024) - [i11]Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. CoRR abs/2407.10794 (2024) - [i10]Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying:
Hyperbolic Fine-tuning for Large Language Models. CoRR abs/2410.04010 (2024) - 2023
- [j1]Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman:
DINC: Toward Distributed In-Network Computing. PACMNET 1(CoNEXT3): 14:1-14:25 (2023) - [c7]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. AAAI 2023: 12772-12780 - [c6]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) 2023: 161-171 - [i9]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR abs/2305.03319 (2023) - [i8]Linyao Chen, Aosong Feng, Boming Yang, Zihui Li:
XDLM: Cross-lingual Diffusion Language Model for Machine Translation. CoRR abs/2307.13560 (2023) - [i7]Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou, Mike Zheng Shou:
Integrating View Conditions for Image Synthesis. CoRR abs/2310.16002 (2023) - 2022
- [c5]Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. AAAI 2022: 6614-6622 - [c4]Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. CIKM 2022: 3933-3937 - [c3]Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan:
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. WACV 2022: 3946-3956 - [i6]Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. CoRR abs/2201.00491 (2022) - [i5]Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting. CoRR abs/2207.05064 (2022) - [i4]Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas:
A Quantitative Theory of Bottleneck Structures for Data Networks. CoRR abs/2210.03534 (2022) - [i3]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences. CoRR abs/2210.11794 (2022) - 2021
- [c2]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:
Designing data center networks using bottleneck structures. SIGCOMM 2021: 319-348 - [i2]Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan:
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. CoRR abs/2110.15327 (2021) - 2020
- [c1]Aosong Feng, Priyadarshini Panda:
Energy-efficient and Robust Cumulative Training with Net2Net Transformation. IJCNN 2020: 1-7 - [i1]Aosong Feng, Priyadarshini Panda:
Energy-efficient and Robust Cumulative Training with Net2Net Transformation. CoRR abs/2003.01204 (2020)
Coauthor Index
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