| 2026 | ACL | From Pixels to Policies: Reinforcing Spatial Reasoning in Language Models for Content-Aware Layout Design. | Sha Li, Stefano Petrangeli, Yu Shen, Xiang Chen |
| 2026 | CRYPTO | Fast Difficulty Adjustment in Proof-of-Work Consensus. | Juan Garay, Aggelos Kiayias, Yu Shen |
| 2026 | ICDCS | TrustMix: How to Mix Messages in a Mobile Ad-Hoc Network. | Yu Shen, Stefanie Roos, Aiswarya Walter |
| 2025 | ASIACRYPT | Universally Composable Transaction Order Fairness: Refined Definitions and Adaptive Security. | Michele Ciampi, Aggelos Kiayias, Yu Shen |
| 2025 | CHI | Authoring 2.5D Designs with Depth Estimation. | Xia Su, Cuong Nguyen, Matheus Gadelha, Yu Shen, Stefano Petrangeli, Jon E. Froehlich |
| 2025 | CRYPTO | State Machine Replication Among Strangers, Fast and Self-sufficient. | Juan A. Garay, Aggelos Kiayias, Yu Shen |
| 2025 | CVPR | Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions. | Ting-Hsuan Liao, Yi Zhou, Yu Shen, Chun-Hao Paul Huang, Saayan Mitra, Jia-Bin Huang, Uttaran Bhattacharya |
| 2025 | EMNLP | GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration. | Yue Fan, Handong Zhao, Ruiyi Zhang, Yu Shen, Xin Eric Wang, Gang Wu |
| 2025 | ICDE | A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads. | Yu Shen, Beicheng Xu, Yupeng Lu, Donghui Chen, Huaijun Jiang, Zhipeng Xie, Senbo Fu, Nan Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Bin Cui |
| 2025 | ICML | Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation. | Laura Yu Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming C. Lin |
| 2025 | IROS | MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation. | Rui Liu, Zikang Wang, Peng Gao, Yu Shen, Pratap Tokekar, Ming Lin |
| 2025 | NOSSDAV | Alice: Low-latency Image Live Co-editing via Adaptation. | Anlan Zhang, Stefano Petrangeli, Haoliang Wang, Yu Shen, Feng Qian |
| 2025 | WWW | ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction. | Yiqiao Jin, Stefano Petrangeli, Yu Shen, Gang Wu |
| 2024 | ANT | An agent-based simulator for airport ground handling services. | Xinyun Lao, Yu Shen, Xianglai Ran, Yuefeng Zheng, Yuchuan Du |
| 2024 | CRYPTO | Universal Composable Transaction Serialization with Order Fairness. | Michele Ciampi, Aggelos Kiayias, Yu Shen |
| 2024 | EuroCrypt | Proof-of-Work-Based Consensus in Expected-Constant Time. | Juan A. Garay, Aggelos Kiayias, Yu Shen |
| 2024 | EuroCrypt | Ordering Transactions with Bounded Unfairness: Definitions, Complexity and Constructions. | Aggelos Kiayias, Nikos Leonardos, Yu Shen |
| 2024 | ICONIP | LogMoE: Optimizing Mixture of Experts for Log Anomaly Detection via Knowledge Distillation. | Dehua Chen, Zhiwei Guo, Yu Shen, Mei Wang |
| 2024 | ICRA | Collaborative Decision-Making Using Spatiotemporal Graphs in Connected Autonomy. | Peng Gao, Yu Shen, Ming C. Lin |
| 2024 | IROS | AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning. | Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li |
| 2024 | ICRA | Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering. | Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin |
| 2024 | IECON | Design of a 1000 MW HVdc System based on Unidirectional-Current Hybrid MMC for Offshore Wind Farms. | Zhensong Zeng, Yu Shen, Maoxin Chen, Zhengxuan Li, Kailun Wang, Zixuan Zhang, Qiang Song |
| 2024 | SIGMOD | NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. | Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang |
| 2023 | AAAI | ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. | Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui |
| 2023 | FC | Extras and Premiums: Local PCN Routing with Redundancy and Fees. | Yu Shen, Oguzhan Ersoy, Stefanie Roos |
| 2023 | HCI | Visualizing Ocean Fragility: Glitch Art and Social Media in Marine Conservation. | Mickey Mengting Zhang, Yu Shen, Ihab Salah Ali Mohamed |
| 2023 | ICML | Auxiliary Modality Learning with Generalized Curriculum Distillation. | Yu Shen, Xijun Wang, Peng Gao, Ming C. Lin |
| 2023 | IROS | Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception. | Peng Gao, Jing Liang, Yu Shen, Sanghyun Son, Ming C. Lin |
| 2023 | ICRA | Small-shot Multi-modal Distillation for Vision-based Autonomous Steering. | Yu Shen, Luyu Yang, Xijun Wang, Ming C. Lin |
| 2023 | ISM | GPU-accelerated Lossless Image Compression with Massive Parallelization. | Yu Shen, Gang Wu, Vishy Swaminathan, Haoliang Wang, Stefano Petrangeli, Tong Yu |
| 2023 | KDD | Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. | Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui |
| 2022 | DSAA | Percept U-Net: Percept Attention-based Convolutional Neural Network for Atrial Fibrillation Episode Localization. | Ying An, Lebing Pan, Lin Guo, Xianlai Chen, Yu Shen |
| 2022 | ECCV | Human-Vehicle Cooperative Visual Perception for Autonomous Driving Under Complex Traffic Environments. | Yiyue Zhao, Cailin Lei, Yu Shen, Yuchuan Du, Qijun Chen |
| 2022 | GLOBECOM | Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark. | Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic |
| 2022 | ICML | Deep and Flexible Graph Neural Architecture Search. | Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui |
| 2022 | ICML | NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. | Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui |
| 2022 | IROS | Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering. | Yu Shen, Weizi Li, Ming C. Lin |
| 2022 | KDD | Transfer Learning based Search Space Design for Hyperparameter Tuning. | Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui |
| 2022 | KDD | TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. | Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui |
| 2022 | WWW | PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. | Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui |
| 2022 | TCC | Permissionless Clock Synchronization with Public Setup. | Juan A. Garay, Aggelos Kiayias, Yu Shen |
| 2021 | AAAI | MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. | Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui |
| 2021 | AFT | On Bitcoin cash's target recalculation functions. | Juan A. Garay, Yu Shen |
| 2021 | CIS | A Toll-Setting Optimization Approach for Transportation Networks. | Yu Shen, Hecheng Li, Lijuan Chen |
| 2021 | ICRA | Adversarial Differentiable Data Augmentation for Autonomous Systems. | Manli Shu, Yu Shen, Ming C. Lin, Tom Goldstein |
| 2021 | KDD | OpenBox: A Generalized Black-box Optimization Service. | Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui |
| 2021 | KDD | ROD: Reception-aware Online Distillation for Sparse Graphs. | Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui |
| 2021 | SIGMOD | ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. | Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui |
| 2020 | ECCV | GAN-Based Garment Generation Using Sewing Pattern Images. | Yu Shen, Junbang Liang, Ming C. Lin |
| 2020 | GLOBECOM | An Intelligent Management Mechanism for Residential Power Under Software Defined Network. | Wenru Zeng, Boxin Du, Zhiwei Guo, Keping Yu, Xu Gao, Yu Shen |
| 2019 | MASS | Optimizing Traditional Transforms for Vehicular Network Sign Classification. | Carl Cheng, Yu Shen, Patrick Liu |
| 2017 | ICIP | Supervised classification of hyperspectral images using local-receptive-fields-based kernel extreme learning machine. | Yu Shen, Jianyu Chen, Liang Xiao |
| 2017 | ICRA | Illumination insensitive efficient second-order minimization for planar object tracking. | Lin Chen, Fan Zhou, Yu Shen, Xiang Tian, Haibin Ling, Yaowu Chen |
| 2017 | IGARSS | Supervised classification of hyperspectral images via heterogeneous deep neural networks. | Zhixin Li, Yu Shen, Nan Huang, Liang Xiao |
| 2016 | ACCV | Joint Multiview Fused ELM Learning with Propagation Filter for Hyperspectral Image Classification. | Yu Shen, Liang Xiao, Mohsen Molaei |
| 2016 | IGARSS | ELM-based spectral-spatial classification of hyperspectral images using bilateral filtering information on spectral band-subsets. | Yu Shen, Jinhuan Xu, Heng Li, Liang Xiao |
| 2015 | ICIG | Blind Motion Deblurring Based on Fused l | Kai Wang, Yu Shen, Liang Xiao, Zhihui Wei, Linxue Sheng |
| 2015 | PACLIC | Cross-language Projection of Dependency Trees for Tree-to-tree Machine Translation. | Yu Shen, Chenhui Chu, Fabien Cromiers, Sadao Kurohashi |
| 2013 | GRC | Defensive strategy of the goalkeeper based on the 3D vision and field division for the middle-size league of robocup. | Jiehao Chen, Chen Ma, Zizhen Yan, Bo Chen, Yu Shen, Yu Liang |
| 2013 | GRC | The design and implementation of the kernel level mobile storage medium data protection system. | Jiehao Chen, Yi Zheng, Liang Zhang, Ming Wang, Fangyu Gai, Canhan Li, Yu Shen |
| 2010 | CIS | P2P-Based Semantic Policy Infrastucture for Pervasive Computing. | Fang Pu, Linlang Liu, Yu Shen, Qiying Cao |