Scalable Network Adaptation for Cloud-Rans: An Imitation Learning Approach. - Yifei Shen 004; Yuanming Shi; Jun Zhang 004; Khaled Ben Letaief (GlobalSIP, 2018)

Comparing Massive Networks via Moment Matrices. - Hayoung Choi; Yifei Shen 004; Yuanming Shi (ISIT, 2018)

LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples. - Yifei Shen 004; Yuanming Shi; Jun Zhang 004; Khaled Ben Letaief (CoRR, 2018)

A Graph Neural Network Approach for Scalable Wireless Power Control. - Yifei Shen 004; Yuanming Shi; Jun Zhang 004; Khaled B. Letaief (GLOBECOM Workshops, 2019)

Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks. - Yifei Shen 004; Yuanming Shi; Jun Zhang 004; Khaled Ben Letaief (ICC, 2019)

Comparing large-scale graphs based on quantum probability theory. - Hayoung Choi; Hosoo Lee; Yifei Shen 004; Yuanming Shi (Appl. Math. Comput., 2019)

A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems. - Yifan Ma; Yifei Shen 004; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (GLOBECOM (Workshops), 2020)

Complete Dictionary Learning via ℓp-norm Maximization. - Yifei Shen 004; Ye Xue; Jun Zhang 004; Khaled B. Letaief; Vincent Lau 001 (UAI, 2020)

Blind Data Detection in Massive MIMO via ℓ3-norm Maximization over the Stiefel Manifold. - Ye Xue; Yifei Shen 004; Vincent K. N. Lau; Jun Zhang 004; Khaled B. Letaief (CoRR, 2020)

LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples. - Yifei Shen 004; Yuanming Shi; Jun Zhang 004; Khaled Ben Letaief (IEEE Trans. Wirel. Commun., 2020)

Decentralized Statistical Inference with Unrolled Graph Neural Networks. - He Wang 017; Yifei Shen 004; Ziyuan Wang; Dongsheng Li 002; Jun Zhang 004; Khaled B. Letaief; Jie Lu 007 (CDC, 2021)

How Powerful is Graph Convolution for Recommendation? - Yifei Shen 004; Yongji Wu; Yao Zhang 009; Caihua Shan; Jun Zhang 004; Khaled B. Letaief; Dongsheng Li 002 (CIKM, 2021)

Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. - Yifan Ma; Yifei Shen 004; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (GLOBECOM, 2021)

AI Empowered Resource Management for Future Wireless Networks. - Yifei Shen 004; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (MeditCom, 2021)

Recognizing Vector Graphics without Rasterization. - Xinyang Jiang; Lu Liu 019; Caihua Shan; Yifei Shen 004; Xuanyi Dong; Dongsheng Li 002 (NeurIPS, 2021)

Reinforcement Learning Enhanced Explainer for Graph Neural Networks. - Caihua Shan; Yifei Shen 004; Yao Zhang 009; Xiang Li 067; Dongsheng Li 002 (NeurIPS, 2021)

Invariant Information Bottleneck for Domain Generalization. - Bo Li 080; Yifei Shen 004; Yezhen Wang; Wenzhen Zhu; Colorado J. Reed; Jun Zhang 004; Dongsheng Li 002; Kurt Keutzer; Han Zhao 002 (CoRR, 2021)

Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. - Yifei Shen 004; Yuanming Shi; Jun Zhang 004; Khaled B. Letaief (IEEE J. Sel. Areas Commun., 2021)

Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold. - Ye Xue; Yifei Shen 004; Vincent K. N. Lau; Jun Zhang 004; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2021)

Invariant Information Bottleneck for Domain Generalization. - Bo Li 080; Yifei Shen 004; Yezhen Wang; Wenzhen Zhu; Colorado Reed; Dongsheng Li 002; Kurt Keutzer; Han Zhao 002 (AAAI, 2022)

Neural Piecewise-Constant Delay Differential Equations. - Qunxi Zhu; Yifei Shen 004; Dongsheng Li 002; Wei Lin 003 (AAAI, 2022)

Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. - Wentao Yu; Yifei Shen 004; Hengtao He; Xianghao Yu; Jun Zhang 004; Khaled B. Letaief (GLOBECOM, 2022)

How Neural Architectures Affect Deep Learning for Communication Networks? - Yifei Shen 004; Jun Zhang 004; Khaled Ben Letaief (ICC, 2022)

Content-Aware Client Selection for Federated Learning in Wireless Networks. - Zhefeng Qiao; Yifei Shen 004; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (MeditCom, 2022)

Learn to Communicate With Neural Calibration: Scalability and Generalization. - Yifan Ma; Yifei Shen 004; Xianghao Yu; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2022)

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. - Yuchen Fang; Kan Ren; Caihua Shan; Yifei Shen 004; You Li; Weinan Zhang 001; Yong Yu 001; Dongsheng Li 002 (AAAI, 2023)

SIMPLE: Specialized Model-Sample Matching for Domain Generalization. - Ziyue Li; Kan Ren; Xinyang Jiang; Yifei Shen 004; Haipeng Zhang; Dongsheng Li 002 (ICLR, 2023)

Sparse Mixture-of-Experts are Domain Generalizable Learners. - Bo Li 080; Yifei Shen 004; Jingkang Yang; Yezhen Wang; Jiawei Ren 001; Tong Che; Jun Zhang 004; Ziwei Liu 002 (ICLR, 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 004; Dongsheng Li 002 (ICML, 2023)

ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation. - Yasheng Sun; Yifan Yang 004; Houwen Peng; Yifei Shen 004; Yuqing Yang 001; Han Hu 001; Lili Qiu; Hideki Koike (NeurIPS, 2023)

Label Propagation for Graph Label Noise. - Yao Cheng 009; Caihua Shan; Yifei Shen 004; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (CoRR, 2023)

Toward Open-ended Embodied Tasks Solving. - William Wei Wang; Dongqi Han; Xufang Luo; Yifei Shen 004; Charles Ling 001; Boyu Wang 004; Dongsheng Li 002 (CoRR, 2023)

Graph Neural Networks for Wireless Communications: From Theory to Practice. - Yifei Shen 004; Jun Zhang 004; Shenghui Song 001; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2023)

An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. - Wentao Yu; Yifei Shen 004; Hengtao He; Xianghao Yu; Shenghui Song 001; Jun Zhang 004; Khaled B. Letaief (IEEE J. Sel. Top. Signal Process., 2023)

LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. - Siwei Li; Yifan Yang 004; Yifei Shen 004; Fangyun Wei; Zongqing Lu 001; Lili Qiu; Yuqing Yang 001 (EMNLP (Findings), 2024)

Training-free Multi-objective Diffusion Model for 3D Molecule Generation. - Xu Han; Caihua Shan; Yifei Shen 004; Can Xu; Han Yang; Xiang Li 067; Dongsheng Li 002 (ICLR, 2024)

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. - Yao Cheng 009; Caihua Shan; Yifei Shen 004; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (KDD, 2024)

Understanding and Improving Training-free Loss-based Diffusion Guidance. - Yifei Shen 004; Xinyang Jiang; Yifan Yang 004; Yezhen Wang; Dongqi Han; Dongsheng Li 002 (NeurIPS, 2024)

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. - Yifei Shen 004; Xinyang Jiang; Yezhen Wang; Yifan Yang 004; Dongqi Han; Dongsheng Li 002 (CoRR, 2024)

Compression-Realized Deep Structural Network for Video Quality Enhancement. - Hanchi Sun; Xiaohong Liu 001; Xinyang Jiang; Yifei Shen 004; Dongsheng Li 002; Xiongkuo Min; Guangtao Zhai (CoRR, 2024)

Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. - Siwei Li; Yifan Yang 004; Yifei Shen 004; Fangyun Wei; Zongqing Lu 001; Lili Qiu; Yuqing Yang 001 (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 004; Hongzhi Wen; Dongsheng Li 002; Jiliang Tang; Caihua Shan (CoRR, 2024)

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models. - Kaichen Zhang; Yifei Shen 004; Bo Li 080; Ziwei Liu 002 (CoRR, 2024)

Learning Domain Invariant Prompt for Vision-Language Models. - Cairong Zhao; Yubin Wang; Xinyang Jiang; Yifei Shen 004; Kaitao Song; Dongsheng Li 002; Duoqian Miao 001 (IEEE Trans. Image Process., 2024)

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. - Yifei Shen 004; Jiawei Shao; Xinjie Zhang; Zehong Lin; Hao Pan 003; Dongsheng Li 002; Jun Zhang 004; Khaled B. Letaief (IEEE Commun. Mag., 2024)

Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset. - Shuguang Dou; Xinyang Jiang; Lu Liu 019; Lu Ying; Caihua Shan; Yifei Shen 004; Xuanyi Dong; Yun Wang 012; Dongsheng Li 002; Cairong Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. - Xinnan Dai; Haohao Qu; Yifei Shen 004; Bohang Zhang; Qihao Wen; Wenqi Fan; Dongsheng Li 002; Jiliang Tang; Caihua Shan (ICLR, 2025)

What Makes a Good Diffusion Planner for Decision Making? - Haofei Lu; Dongqi Han; Yifei Shen 004; Dongsheng Li 002 (ICLR, 2025)

High-resolution mmWave Imaging using Metasurface and Diffusion. - Yida Wang 007; Yu Lu; Yuxuan Zhou; Yifei Shen 004; Lili Qiu; Zeyuan Lai; Yi-Chao Chen 001; Hao Pan 003; Juntao Zhou; Dian Ding; Mei Wang; Guangtao Xue; et al. (MobiSys, 2025)

Toward Relative Positional Encoding in Spiking Transformers. - Changze Lv; Yansen Wang; Dongqi Han; Yifei Shen 004; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (CoRR, 2025)

Habitizing Diffusion Planning for Efficient and Effective Decision Making. - Haofei Lu; Yifei Shen 004; Dongsheng Li 002; Junliang Xing; Dongqi Han (CoRR, 2025)

VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL. - Kyoungjun Park; Yifan Yang 004; Juheon Yi; Shicheng Zheng; Yifei Shen 004; Dongqi Han; Caihua Shan; Muhammad Muaz; Lili Qiu (CoRR, 2025)