| 2026 | SIGIR | mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA. | Xu Yuan, Liangbo Ning, Qingqing Ye, Wenqi Fan, Qing Li |
| 2025 | AAAI | Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model. | Xu Yuan, Li Zhou, Zenghui Sun, Zikun Zhou, Jinsong Lan |
| 2025 | ICLR | BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis. | Tiankuo Chu, Fudong Lin, Shubo Wang, Jason Jiang, Wiley Jia-Wei Gong, Xu Yuan, Liyun Wang |
| 2025 | KDD | HiBench: Benchmarking LLMs Capability on Hierarchical Structure Reasoning. | Zhuohang Jiang, Pangjing Wu, Ziran Liang, Peter Q. Chen, Xu Yuan, Ye Jia, Jiancheng Tu, Chen Li, Peter H. F. Ng, Qing Li |
| 2025 | SP | GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models. | Jiadong Lou, Xu Yuan, Rui Zhang, Xingliang Yuan, Neil Zhenqiang Gong, Nian-Feng Tzeng |
| 2024 | AAAI | Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. | Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang |
| 2024 | CIKM | Towards Robust Vision Transformer via Masked Adaptive Ensemble. | Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng |
| 2024 | CIKM | Effective Utilization of Large-scale Unobserved Data in Recommendation Systems. | Feng Zhang, Yulin Xu, Hongjie Chen, Xu Yuan, Qingwen Liu, Yuning Jiang |
| 2024 | CSCWD | Multi-task online allocation based on path planning strategy in Spatial crowdsourcing environment. | Yiduo Cheng, Xu Yuan, Dunhui Yu, Mingjun Zhao |
| 2024 | ICLR | Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. | Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan |
| 2024 | ICPP | FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering. | Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng |
| 2024 | KDD | An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. | Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng |
| 2024 | KDD | FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2024 | RAID | Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2023 | AAAI | DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2023 | AsiaCCS | Data Privacy Examination against Semi-Supervised Learning. | Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, Nian-Feng Tzeng |
| 2023 | DSN | Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems. | Jiadong Lou, Xiaohan Zhang, Yihe Zhang, Xinghua Li, Xu Yuan, Ning Zhang |
| 2023 | HPDC | Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters. | Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park |
| 2023 | ICA3PP | Query Optimization Mechanism for Blockchain-Based Efficient Data Traceability. | Xu Yuan, Fangbo Li, Muhammad Zeeshan Haider, Feng Ding, Ange Qi, Shuo Yu |
| 2023 | ICCV | Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization. | Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, Miao Pan |
| 2023 | ICCV | MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. | Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy A. Bayoumi, Nian-Feng Tzeng |
| 2023 | KDD | CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. | Gang Yan, Hao Wang, Xu Yuan, Jian Li |
| 2022 | CIKM | Cascade Variational Auto-Encoder for Hierarchical Disentanglement. | Fudong Lin, Xu Yuan, Lu Peng, Nian-Feng Tzeng |
| 2022 | HPCC | Multi-Modal Feature Collaborative Fusion for Court Verdicts Recommendation. | Xu Yuan, Yungang Wang, Shan Jin, Ying Yang, Zhikui Chen |
| 2022 | WWW | Accelerating Serverless Computing by Harvesting Idle Resources. | Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park |
| 2022 | SAC | Relational learning with hierarchical attention encoder and recoding validator for few-shot knowledge graph completion. | Xu Yuan, Chengchuan Xu, Peng Li, Zhikui Chen |
| 2022 | UIC | Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation. | Xu Yuan, Ying Yang, Huafei Huang, Shuo Yu, Lili Cong |
| 2021 | AAAI | Online Learning in Variable Feature Spaces under Incomplete Supervision. | Yi He, Xu Yuan, Sheng Chen, Xindong Wu |
| 2021 | ACSAC | Platform-Oblivious Anti-Spam Gateway. | Yihe Zhang, Xu Yuan, Nian-Feng Tzeng |
| 2021 | CCS | Reverse Attack: Black-box Attacks on Collaborative Recommendation. | Yihe Zhang, Xu Yuan, Jin Li, Jiadong Lou, Li Chen, Nian-Feng Tzeng |
| 2021 | ICASSP | Multiple-Input Multiple-Output Fusion Network for Generalized Zero-Shot Learning. | Fangming Zhong, Guangze Wang, Zhikui Chen, Xu Yuan, Feng Xia |
| 2021 | IJCAI | Interpretable Minority Synthesis for Imbalanced Classification. | Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng |
| 2021 | IJCAI | Improving Sequential Recommendation Consistency with Self-Supervised Imitation. | Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding |
| 2021 | PAKDD | Incorporating Relational Knowledge in Explainable Fake News Detection. | Kun Wu, Xu Yuan, Yue Ning |
| 2021 | WWW | Unsupervised Lifelong Learning with Curricula. | Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu |
| 2021 | SIGIR | ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation. | Xu Yuan, Dongsheng Duan, Lingling Tong, Lei Shi, Cheng Zhang |
| 2020 | ESORICS | Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems. | Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, Nian-Feng Tzeng |
| 2020 | ICDM | Active Learning with Multi-Granular Graph Auto-Encoder. | Yi He, Xu Yuan, Nian-Feng Tzeng, Xindong Wu |
| 2020 | ICPP | E-LAS: Design and Analysis of Completion-Time Agnostic Scheduling for Distributed Deep Learning Cluster. | Abeda Sultana, Li Chen, Fei Xu, Xu Yuan |
| 2020 | IJCAI | Learning Interpretable Representations with Informative Entanglements. | Ege Beyazit, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu |
| 2020 | INFOCOM | Efficient Coflow Transmission for Distributed Stream Processing. | Wenxin Li, Xu Yuan, Wenyu Qu, Heng Qi, Xiaobo Zhou, Sheng Chen, Renhai Xu |
| 2020 | INFOCOM | AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks. | Jiadong Lou, Xu Yuan, Sastry Kompella, Nian-Feng Tzeng |
| 2020 | SAC | Scale invariant learning from trapezoidal data streams. | Jeevithan Alagurajah, Xu Yuan, Xindong Wu |
| 2020 | SECON | Instant AoI Optimization in IoT Networks with Packet Combination. | Jiadong Lou, Xu Yuan, Nian-Feng Tzeng |
| 2019 | CCS | TweetScore: Scoring Tweets via Social Attribute Relationships for Twitter Spammer Detection. | Yihe Zhang, Hao Zhang, Xu Yuan, Nian-Feng Tzeng |
| 2019 | DASC | Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning. | Xu Yuan, Jianing Zhang, Zhikui Chen, Jing Gao, Peng Li |
| 2019 | DSN | Pseudo-Honeypot: Toward Efficient and Scalable Spam Sniffer. | Yihe Zhang, Hao Zhang, Xu Yuan, Nian-Feng Tzeng |
| 2018 | INFOCOM | Leveraging Endpoint Flexibility when Scheduling Coflows across Geo-distributed Datacenters. | Wenxin Li, Xu Yuan, Keqiu Li, Heng Qi, Xiaobo Zhou |
| 2017 | DASC | MMHG: Multi-modal Hypergraph Learning for Overall Survival After D2 Gastrectomy for Gastric Cancer. | Fei Lu, Zhikui Chen, Xu Yuan, Qiu Li, Zedong Du, Li Luo, Fengyi Zhang |
| 2017 | MASS | On AP Assignment and Transmission Scheduling for Multi-AP 60 GHz WLAN. | Xiaoqi Qin, Xu Yuan, Zhi Zhang, Feng Tian, Y. Thomas Hou, Wenjing Lou |
| 2017 | SmartComp | Multi-Client Searchable Encryption over Distributed Key-Value Stores. | Wanyu Lin, Xu Yuan, Baochun Li, Cong Wang |
| 2016 | INFOCOM | Nullification in the air: Interference neutralization in multi-hop wireless networks. | Huacheng Zeng, Xu Yuan, Xiaoqi Qin, Yi Shi, Y. Thomas Hou, Wenjing Lou |
| 2015 | MASS | Harmonizing SIC and MIMO DoF Interference Cancellation for Efficient Network-Wide Resource Allocation. | Brian Jalaeian, Yi Shi, Xu Yuan, Yiwei Thomas Hou, Wenjing Lou, Scott F. Midkiff |
| 2014 | INFOCOM | Cooperative cross-technology interference mitigation for heterogeneous multi-hop networks. | Yantian Hou, Ming Li, Xu Yuan, Y. Thomas Hou, Wenjing Lou |
| 2014 | IPCCC | Achieving transparent coexistence in a multi-hop secondary network through distributed computation. | Xu Yuan, Yi Shi, Yiwei Thomas Hou, Wenjing Lou, Scott F. Midkiff, Sastry Kompella |
| 2014 | SECON | Increasing user throughput in cellular networks with interference alignment. | Huacheng Zeng, Yi Shi, Y. Thomas Hou, Wenjing Lou, Xu Yuan, Rongbo Zhu, Jiannong Cao |
| 2013 | MASS | On Throughput Maximization for a Multi-hop MIMO Network. | Xiaoqi Qin, Xu Yuan, Yi Shi, Y. Thomas Hou, Wenjing Lou, Scott F. Midkiff |
| 2013 | MASS | UPS: A United Cooperative Paradigm for Primary and Secondary Networks. | Xu Yuan, Yi Shi, Y. Thomas Hou, Wenjing Lou, Sastry Kompella |
| 2013 | SECON | Beyond interference avoidance: On transparent coexistence for multi-hop secondary CR networks. | Xu Yuan, Canming Jiang, Yi Shi, Yiwei Thomas Hou, Wenjing Lou, Sastry Kompella |
| 2007 | RoboCup | Rational Passing Decision Based on Region for the Robotic Soccer. | Xu Yuan, Tan Yingzi |