| 2026 | ACL | CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models. | Qizhi Jiang, Shuo Wang, Pei Ke, Yuhang Song, Ke Qin |
| 2026 | ICPR | Fine-Grained Alignment in Vision-and-Language Navigation Through Bayesian Optimization. | Yuhang Song, Mario Gianni, Chenguang Yang, Kunyang Lin, Te-Chuan Chiu, Anh Nguyen, Chun-Yi Lee |
| 2026 | ICPR | Dynamic Context Adapters: Efficiently Infusing History into Vision-and-Language Models. | Yuhang Song, Bor-Jiun Lin, Jiaxu Liu, Te-Chuan Chiu, Anh Nguyen, Chun-Yi Lee |
| 2025 | ICRA | Nonlinear Motion-Guided and Spatio-Temporal Aware Network for Unsupervised Event-Based Optical Flow. | Zuntao Liu, Hao Zhuang, Junjie Jiang, Yuhang Song, Zheng Fang |
| 2025 | ICRA | A Coarse-to-Fine Event-based Framework for Camera Pose Relocalization with Spatio-Temporal Retrieval and Refinement Network. | Yuhang Song, Hao Zhuang, Junjie Jiang, Zuntao Liu, Zheng Fang |
| 2024 | DaMoN | In situ neighborhood sampling for large-scale GNN training. | Yuhang Song, Po Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri |
| 2024 | ICLR | A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. | Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz |
| 2024 | IROS | Visual Attention Based Cognitive Human-Robot Collaboration for Pedicle Screw Placement in Robot-Assisted Orthopedic Surgery. | Chen Chen, Qikai Zou, Yuhang Song, Mingrui Yu, Senqiang Zhu, Shiji Song, Xiang Li |
| 2023 | ACML | Learning to Terminate in Object Navigation. | Yuhang Song, Anh Nguyen, Chun-Yi Lee |
| 2023 | ECAI | Associative Memories in the Feature Space. | Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz |
| 2023 | GLOBECOM | Time Allocation for RIS-Aided Wireless Power Communication Networks in Disaster Sceneio. | Yuhang Song, Dongyang Xu, Bin Li, Shaohua Wan |
| 2023 | ICLR | Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. | Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz |
| 2023 | ICLR | A Theoretical Framework for Inference and Learning in Predictive Coding Networks. | Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz |
| 2022 | AAAI | Reverse Differentiation via Predictive Coding. | Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz |
| 2022 | ICML | Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. | Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz |
| 2022 | IJCAI | Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? | Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz |
| 2021 | CVPR | LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution. | Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang |
| 2020 | AAAI | Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. | Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu |
| 2020 | AAAI | Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. | Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu |
| 2020 | AAAI | AutoRemover: Automatic Object Removal for Autonomous Driving Videos. | Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Ruigang Yang |
| 2020 | ECCV | Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video. | Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song |
| 2020 | ICASSP | Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions. | Liangyu Huo, Zulin Wang, Mai Xu, Yuhang Song |
| 2019 | AAAI | Diversity-Driven Extensible Hierarchical Reinforcement Learning. | Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu |
| 2018 | BMVC | SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting. | Yuhang Song, Chao Yang, Yeji Shen, Peng Wang, Qin Huang, C.-C. Jay Kuo |
| 2018 | ECCV | Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis. | Xiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, B. V. K. Vijaya Kumar |
| 2018 | ECCV | Contextual-Based Image Inpainting: Infer, Match, and Translate. | Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C.-C. Jay Kuo |
| 2018 | WACV | Unsupervised Clustering Guided Semantic Segmentation. | Qin Huang, Chunyang Xia, Siyang Li, Ye Wang, Yuhang Song, C.-C. Jay Kuo |
| 2017 | DCC | Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method. | Yuhang Song, Mai Xu, Shengxi Li |
| 2016 | ACCV | Object Boundary Guided Semantic Segmentation. | Qin Huang, Chunyang Xia, Wenchao Zheng, Yuhang Song, Hao Xu, C.-C. Jay Kuo |