Aosong Feng

According to our database, Aosong Feng authored at least 50 papers between 2020 and 2026.

Collaborative distances:

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

2026

No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval.

Lixuan Guo, Yifei Wang, Tiansheng Wen, Aosong Feng, Stefanie Jegelka, Chenyu You

CoRR, May, 2026

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs.

Jialin Chen, Aosong Feng, Harshit Verma, Siyi Gu, Haiwen Wang, Ali Maatouk, Yixuan He, Yifeng Gao, Leandros Tassiulas, Rex Ying

CoRR, May, 2026

An Empirical Study of Automating Agent Evaluation.

Kang Zhou, Sangmin Woo, Haibo Ding, Kiran Ramnath, Subramanian Chidambaram, Aosong Feng, Vinayak Arannil, Muhyun Kim, Ishan Singh, Darren Yow-Bang Wang, Zhichao Xu, Megha Gandhi, Nirmal Prabhu, Soumya Smruti Mishra, Vivek Singh, Gouri Pandeshwar, Lin Lee Cheong

CoRR, May, 2026

Threshold-Guided Optimization for Visual Generative Models.

Jinbin Bai, Yu Lei, Qingyu Shi, Aosong Feng, Yi Xin, Zhuoran Zhao, Fei Shen, Kaidong Yu, Jason Li

CoRR, May, 2026

Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models.

Xiaojie Gu, Sherry T. Tong, Aosong Feng, Sophia Simeng Han, Jinghui Lu, Yingjian Chen, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Rex Ying, Irene Li

CoRR, March, 2026

CSRv2: Unlocking Ultra-Sparse Embeddings.

Lixuan Guo, Yifei Wang, Tiansheng Wen, Yifan Wang, Aosong Feng, Bo Chen, Stefanie Jegelka, Chenyu You

CoRR, February, 2026

Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models.

Jinbin Bai, Yixuan Li, Yuchen Zhu, Yi Xin, Qingyu Shi, Aosong Feng, Xiaohong Liu, Molei Tao, Jianru Xue, Xiangtai Li, Ming-Hsuan Yang

CoRR, February, 2026

PRISM: A Unified Framework for Post-Training LLMs Without Verifiable Rewards.

Mukesh Ghimire, Aosong Feng, Liwen You, Youzhi Luo, Fang Liu, Xuan Zhu

CoRR, January, 2026

From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs.

Yingjian Chen, Haoran Liu, Yinhong Liu, Sherry T. Tong, Aosong Feng, Jinghui Lu, Juntao Zhang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li

CoRR, January, 2026

Toward Global Large Language Models in Medicine.

Rui Yang, Huitao Li, Weihao Xuan, Heli Qi, Xin Li, Kunyu Yu, Yingjian Chen, Rongrong Wang, Jacques Behmoaras, Tianxi Cai, Bibhas Chakraborty, Qingyu Chen, Lionel Tim-Ee Cheng, Marie-Louise Damwanza, Chido Dzinotyiwei, Aosong Feng, Chuan Hong, Yusuke Iwasawa, Yuhe Ke, Linah Kitala, Taehoon Ko, Jisan Lee, Irene Li, Jonathan Chong Kai Liew, Hongfang Liu, Lian Leng Low, Edison Marrese-Taylor, Yutaka Matsuo, Isheanesu Misi, Yilin Ning, Jasmine Chiat Ling Ong, Marcus Eng Hock Ong, Enrico Petretto, Hossein Rouhizadeh, Abiram Sandralegar, Oren Schreier, Iain Bee Huat Tan, Patrick Tan, Daniel Shu Wei Ting, Junjue Wang, Chunhua Weng, Matthew Yu Heng Wong, Fang Wu, Yunze Xiao, Xuhai Xu, Qingcheng Zeng, Zhuo Zheng, Yifan Peng, Douglas Teodoro, Nan Liu

CoRR, January, 2026

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation.

Zhichao Xu, Zongyu Wu, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, Haibo Ding

Trans. Mach. Learn. Res., 2026

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation.

Bo Yuan, Yun Zhou, Zhichao Xu, Kiran Ramnath, Aosong Feng, Balasubramaniam Srinivasan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Diffusion Language Model Inference with Monte Carlo Tree Search.

Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Route Experts by Sequence, not by Token.

Tiansheng Wen, Yifei Wang, Aosong Feng, Long Ma, Xinyang Liu, Yifan Wang, Lixuan Guo, Bo Chen, Stefanie Jegelka, Chenyu You

CoRR, November, 2025

QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading.

Fei Xiong, Xiang Zhang, Aosong Feng, Siqi Sun, Chenyu You

CoRR, September, 2025

IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs.

Aosong Feng

CoRR, September, 2025

VeriGUI: Verifiable Long-Chain GUI Dataset.

Shunyu Liu, Minghao Liu, Huichi Zhou, Zhenyu Cui, Yang Zhou, Yuhao Zhou, Wendong Fan, Ge Zhang, Jiajun Shi, Weihao Xuan, Jiaxing Huang, Shuang Luo, Fang Wu, Heli Qi, Qingcheng Zeng, Ziqi Ren, Jialiang Gao, Jindi Lv, Junjie Wang, Aosong Feng, Heng Zhou, Wangchunshu Zhou, Zhenfei Yin, Wenlong Zhang, Guohao Li, Wenhao Yu, Irene Li, Lei Ma, Lei Bai, Qunshu Lin, Mingli Song, Dacheng Tao

CoRR, August, 2025

Personalized Safety Alignment for Text-to-Image Diffusion Models.

Yu Lei, Jinbin Bai, Qingyu Shi, Aosong Feng, Kaidong Yu

CoRR, August, 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, June, 2025

Learning to Reason without External Rewards.

Xuandong Zhao, Zhewei Kang, Aosong Feng, Sergey Levine, Dawn Song

CoRR, May, 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, March, 2025

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective.

Rui Yang, Boming Yang, Xinjie Zhao, Fan Gao, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

CSPLADE: Learned Sparse Retrieval with Causal Language Models.

Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning.

Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, Gaowen Liu, Aosong Feng, Dawn Song, Xin Eric Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation.

Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs.

Aosong Feng, Balasubramaniam Srinivasan, Yun Zhou, Zhichao Xu, Kang Zhou, Sheng Guan, Yueyan Chen, Xian Wu, Ninad Kulkarni, Yi Zhang, Zhengyuan Shen, Dmitriy Bespalov, Soumya Smruti Mishra, Yifei Teng, Darren Yow-Bang Wang, Haibo Ding, Lin Lee Cheong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Hyperbolic Fine-tuning for Large Language Models.

Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying

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

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

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

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs.

Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Integrating View Conditions for Image Synthesis.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning.

Aosong Feng, Rex Ying, Leandros Tassiulas

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.

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