Energy-efficient and Robust Cumulative Training with Net2Net Transformation. - Aosong Feng; Priyadarshini Panda (IJCNN, 2020)

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 (SIGCOMM, 2021)

KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. - Aosong Feng; Chenyu You; Shiqiang Wang 001; Leandros Tassiulas (AAAI, 2022)

Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. - Aosong Feng; Leandros Tassiulas (CIKM, 2022)

MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. - Chenyu You; Lianyi Han; Aosong Feng; Ruihan Zhao 001; Hui Tang; Wei Fan 001 (WACV, 2022)

Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting. - Aosong Feng; Leandros Tassiulas (CoRR, 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)

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. - Aosong Feng; Irene Li; Yuang Jiang; Rex Ying (AAAI, 2023)

HiPool: Modeling Long Documents Using Graph Neural Networks. - Irene Li; Aosong Feng; Dragomir Radev; Rex Ying (ACL (2), 2023)

XDLM: Cross-lingual Diffusion Language Model for Machine Translation. - Linyao Chen; Aosong Feng; Boming Yang; Zihui Li (CoRR, 2023)

Integrating View Conditions for Image Synthesis. - Jinbin Bai; Zhen Dong 003; Aosong Feng; Xiao Zhang; Tian Ye 001; Kaicheng Zhou; Mike Zheng Shou (CoRR, 2023)

DINC: Toward Distributed In-Network Computing. - Changgang Zheng; Haoyue Tang; Mingyuan Zang; Xinpeng Hong; Aosong Feng; Leandros Tassiulas; Noa Zilberman (PACMNET, 2023)

Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint. - Haoyue Tang; Tian Xie 003; Aosong Feng; Hanyu Wang; Chenyang Zhang; Yang Bai (AISTATS, 2024)

Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning. - Aosong Feng; Rex Ying; Leandros Tassiulas (EMNLP (Findings), 2024)

Integrating View Conditions for Image Synthesis. - Jinbin Bai; Zhen Dong 003; Aosong Feng; Xiao Zhang; Tian Ye 001; Kaicheng Zhou (IJCAI, 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 (NeurIPS, 2024)

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. - Jiasheng Zhang; Jialin Chen; Menglin Yang 004; Aosong Feng; Shuang Liang 002; Jie Shao 001; Rex Ying (NeurIPS, 2024)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. - Rui Yang 016; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (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)

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. - Rui Yang; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

Hyperbolic Fine-tuning for Large Language Models. - Menglin Yang 001; Aosong Feng; Bo Xiong; Jihong Liu; Irwin King; Rex Ying (CoRR, 2024)

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective. - Rui Yang; Boming Yang; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

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)

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective. - Rui Yang 016; Boming Yang; Xinjie Zhao 004; Fan Gao; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (WWW (Companion Volume), 2025)

MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding. - Weikang Qiu; Zheng Huang; Haoyu Hu; Aosong Feng; Yujun Yan; Rex Ying (CoRR, 2025)

MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering. - Jialin Chen; Aosong Feng; Ziyu Zhao; Juan Garza; Gaukhar Nurbek; Cheng Qin; Ali Maatouk; Leandros Tassiulas; Yifeng Gao; Rex Ying (CoRR, 2025)

CSPLADE: Learned Sparse Retrieval with Causal Language Models. - Zhichao Xu; Aosong Feng; Yijun Tian 006; Haibo Ding; Lin Lee Cheong (CoRR, 2025)

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning. - Kaiwen Zhou; Xuandong Zhao; Gaowen Liu; Jayanth Srinivasa; Aosong Feng; Dawn Song; Xin Eric Wang (CoRR, 2025)

Learning to Reason without External Rewards. - Xuandong Zhao; Zhewei Kang; Aosong Feng; Sergey Levine; Dawn Song (CoRR, 2025)

TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval. - Jialin Chen; Ziyu Zhao; Gaukhar Nurbek; Aosong Feng; Ali Maatouk; Leandros Tassiulas; Yifeng Gao; Rex Ying (CoRR, 2025)

Personalized Safety Alignment for Text-to-Image Diffusion Models. - Yu Lei; Jinbin Bai; Qingyu Shi; Aosong Feng; Kaidong Yu (CoRR, 2025)

VeriGUI: Verifiable Long-Chain GUI Dataset. - Shunyu Liu 001; Minghao Liu 003; Huichi Zhou; Zhenyu Cui; Yang Zhou; Yuhao Zhou; Wendong Fan; Ge Zhang 009; Jiajun Shi; Weihao Xuan; Jiaxing Huang 001; Shuang Luo; et al. (CoRR, 2025)