About Me

My research centers on long-horizon human–AI interaction. I design backbone frameworks and models for agentic systems that ingest streaming, multimodal inputs; manage and retrieve persistent memory; and plan and reflect over extended tasks — making AI collaborators reliable, adaptive, and self-improving.

I am currently an Applied Scientist at AWS (Agentic AI), where I lead work on intelligent LLM routing for Amazon Bedrock and vision language action models.

Previously, I earned my Ph.D. in Electrical Engineering from Yale University, advised by Prof. Leandros Tassiulas, where my research focused on networking and distributed learning. I completed a B.Eng. in Optoelectronics at Zhejiang University (ranked 2/124) in the Advanced Honor Class of Engineering (ACEE) at the Chu Kochen Honors College, and spent a year on exchange at HKU with research internships at CUHK and UIUC. I have also interned at Microsoft, IBM, and Nokia Bell Labs.

News

  • Sep 2025IPR is accepted to EMNLP Industry Track, connect me virtually in Suzhou!
  • Sep 2025TRACE, HypLoR, HELM accepted to NeurIPS, see you in San Diego!
  • Aug 2025 — Two papers are accepted to EMNLP
  • Jun 2025MindLLM accepted to ICML
  • Oct 2024D-Edit is accepted to AAAI
  • Sep 2024 — Joined AWS Bedrock as an Applied Scientist
  • Sep 2024TensAtt is accepted to EMNLP
  • Sep 2024 — Two papers accepted to NeurIPS
  • Jun 2024 — Last day at Yale University (as a student)

Selected Publications

Learning to Reason
Intuitor: Learning to Reason without External Rewards
Xuandong Zhao, Zhewei Kang, Aosong Feng, Sergey Levine, Dawn Song
Arxiv
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Aosong Feng, Rex Ying and Leandros Tassiulas
EMNLP 2024
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control
Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas
AAAI 2025
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting
Aosong Feng, Leandros Tassiulas
CIKM 2022 (Best Short Paper Runner-up Award)
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
AAAI 2022

Beyond Research

When I'm not developing AI systems, I work as an amateur trackmaker in my home studio with fifteen guitars, creating ambient/jazz/pop fusion with indie influences. My favortite anime are Steins Gate and Naruto; My favortite k-pop group is New Jeans; My favortite jazz player is Bill Evans; I love reading Jorge Luis Borges and Franz Kafka.