| 2026 | ACL | G²RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance. | Yongxin Guo, Wenbo Deng, Zhenglin Cheng, Xiaoying Tang |
| 2026 | ACL | Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs. | Haoyue Liu, Zhichao Wang, Yongxin Guo, Haoran Shou, Xiaoying Tang |
| 2025 | AAAI | VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. | Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao |
| 2025 | CVPR | Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation. | Kunpeng Qiu, Zhiqiang Gao, Zhiying Zhou, Mingjie Sun, Yongxin Guo |
| 2025 | ICCV | Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing. | Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin |
| 2025 | ICLR | Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. | Yongxin Guo, Xiaoying Tang, Tao Lin |
| 2025 | ICLR | Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. | Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin |
| 2025 | ICLR | TRACE: Temporal Grounding Video LLM via Causal Event Modeling. | Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang |
| 2025 | MICCAI | Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis. | Kunpeng Qiu, Zhiying Zhou, Yongxin Guo |
| 2024 | ICASSP | Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image Classification. | Kunpeng Qiu, Zhiying Zhou, Yongxin Guo |
| 2024 | ICML | FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. | Yongxin Guo, Xiaoying Tang, Tao Lin |
| 2023 | ICML | FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. | Yongxin Guo, Xiaoying Tang, Tao Lin |
| 2023 | VTC | Low-Complexity Beam-Oriented Linearization Approaches for Massive MIMO Transmission. | Abd Elwahab Fawzy, Sumei Sun, Teng Joon Lim, Yongxin Guo |
| 2021 | GLOBECOM | An Efficient Deep Neural Network Structure for RF Power Amplifier Linearization. | Abd Elwahab Fawzy, Sumei Sun, Teng Joon Lim, Yongxin Guo |
| 2020 | GLOBECOM | Iterative Learning Control for Pre-distortion Design in Wideband Direct-Conversion Transmitters. | Abd Elwahab Fawzy, Sumei Sun, Teng Joon Lim, Yongxin Guo, Peng Hui Tan |
| 2014 | ASPDAC | Design of a high-performance Millimeter-wave amplifier using specific modeling. | Xiaojun Bi, Yongxin Guo, Muthukumaraswamy Annamalai Arasu, M. S. Zhang, Yong-Zhong Xiong, Minkyu Je |
| 2014 | ISNN | Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree. | Yongxin Guo, Zhen Zhang, Jianqin Mao, Haishan Ding, Yanhua Ma |
| 2008 | VTC | Broadband Slot Antenna with Circular-Polarization Operation. | Lei Bian, Yongxin Guo, Xiang-Quan Shi |