Yifei Shen

According to our database, Yifei Shen authored at least 52 papers between 2018 and 2025.

Collaborative distances:

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

2025

VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL.

Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Yifei Shen, Dongqi Han, Caihua Shan, Muhammad Muaz, Lili Qiu

CoRR, October, 2025

Habitizing Diffusion Planning for Efficient and Effective Decision Making.

Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han

CoRR, February, 2025

Toward Relative Positional Encoding in Spiking Transformers.

Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

CoRR, January, 2025

High-resolution mmWave Imaging using Metasurface and Diffusion.

Yida Wang, Yu Lu, Yuxuan Zhou, Yifei Shen, Lili Qiu, Zeyuan Lai, Yi-Chao Chen, Hao Pan, Juntao Zhou, Dian Ding, Mei Wang, Guangtao Xue, Qian Zhang

Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

What Makes a Good Diffusion Planner for Decision Making?

Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.

Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset.

Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying, Caihua Shan, Yifei Shen, Xuanyi Dong, Yun Wang, Dongsheng Li, Cairong Zhao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence.

Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief

IEEE Commun. Mag., October, 2024

Learning Domain Invariant Prompt for Vision-Language Models.

Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao

IEEE Trans. Image Process., 2024

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models.

Kaichen Zhang, Yifei Shen, Bo Li, Ziwei Liu

CoRR, 2024

Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path.

Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan

CoRR, 2024

Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning.

Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang

CoRR, 2024

Compression-Realized Deep Structural Network for Video Quality Enhancement.

Hanchi Sun, Xiaohong Liu, Xinyang Jiang, Yifei Shen, Dongsheng Li, Xiongkuo Min, Guangtao Zhai

CoRR, 2024

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations.

Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li

CoRR, 2024

Understanding and Improving Training-free Loss-based Diffusion Guidance.

Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.

Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Training-free Multi-objective Diffusion Model for 3D Molecule Generation.

Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning.

Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation.

Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief

IEEE J. Sel. Top. Signal Process., July, 2023

Graph Neural Networks for Wireless Communications: From Theory to Practice.

Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief

IEEE Trans. Wirel. Commun., May, 2023

Toward Open-ended Embodied Tasks Solving.

William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li

CoRR, 2023

Label Propagation for Graph Label Noise.

Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li

CoRR, 2023

ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation.

Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling.

Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li

Proceedings of the International Conference on Machine Learning, 2023

Sparse Mixture-of-Experts are Domain Generalizable Learners.

Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SIMPLE: Specialized Model-Sample Matching for Domain Generalization.

Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling.

Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li

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

2022

Learn to Communicate With Neural Calibration: Scalability and Generalization.

Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief

IEEE Trans. Wirel. Commun., 2022

Content-Aware Client Selection for Federated Learning in Wireless Networks.

Zhefeng Qiao, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022

How Neural Architectures Affect Deep Learning for Communication Networks?

Yifei Shen, Jun Zhang, Khaled Ben Letaief

Proceedings of the IEEE International Conference on Communications, 2022

Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks.

Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief

Proceedings of the IEEE Global Communications Conference, 2022

Neural Piecewise-Constant Delay Differential Equations.

Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin

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

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

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

2021

Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold.

Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief

IEEE Trans. Wirel. Commun., 2021

Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis.

Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief

IEEE J. Sel. Areas Commun., 2021

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao

CoRR, 2021

Reinforcement Learning Enhanced Explainer for Graph Neural Networks.

Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Recognizing Vector Graphics without Rasterization.

Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AI Empowered Resource Management for Future Wireless Networks.

Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation.

Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the IEEE Global Communications Conference, 2021

How Powerful is Graph Convolution for Recommendation?

Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Decentralized Statistical Inference with Unrolled Graph Neural Networks.

He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples.

Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief

IEEE Trans. Wirel. Commun., 2020

Blind Data Detection in Massive MIMO via ℓ₃-norm Maximization over the Stiefel Manifold.

Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief

CoRR, 2020

Complete Dictionary Learning via ℓ_p-norm Maximization.

Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems.

Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief

Proceedings of the IEEE Globecom Workshops, 2020

2019

Comparing large-scale graphs based on quantum probability theory.

Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi

Appl. Math. Comput., 2019

Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks.

Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief

Proceedings of the 2019 IEEE International Conference on Communications, 2019

A Graph Neural Network Approach for Scalable Wireless Power Control.

Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018

LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples.

Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief

CoRR, 2018

Comparing Massive Networks via Moment Matrices.

Hayoung Choi, Yifei Shen, Yuanming Shi

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Scalable Network Adaptation for Cloud-Rans: An Imitation Learning Approach.

Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018