| 2026 | AAAI | TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems. | Yabo Ni, Yuanpeng Cao, Wenhang Zhou, Bangyang Hong, Zhongyi Zhang, Enlei Cai, Kangle Wu, Anxiang Zeng, Han Yu, Xiaoxiao Li |
| 2026 | ACL | For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs. | Wenlong Deng, Qi Zeng, Jiaming Zhang, Minghui Chen, Zixin Ding, Christos Thrampoulidis, Boying Gong, Xiaoxiao Li |
| 2025 | AAAI | Federated Causally Invariant Feature Learning. | Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li |
| 2025 | AAAI | pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning. | Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li |
| 2025 | ASPLOS | Tela: A Temporal Load-Aware Cloud Virtual Disk Placement Scheme. | Difan Tan, Jiawei Li, Hua Wang, Xiaoxiao Li, Wenbo Liu, Zijin Qin, Ke Zhou, Ming Xie, Mengling Tao |
| 2025 | ICCV | Federated Representation Angle Learning. | Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li |
| 2025 | ICDE | pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices. | Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li |
| 2025 | ICLR | Can Textual Gradient Work in Federated Learning? | Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li |
| 2025 | ICLR | DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models. | Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis |
| 2025 | ICLR | S4M: S4 for multivariate time series forecasting with Missing values. | Peng Jing, Meiqi Yang, Qiong Zhang, Xiaoxiao Li |
| 2025 | ICLR | GMValuator: Similarity-based Data Valuation for Generative Models. | Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Zou, Xiaoxiao Li |
| 2025 | ICML | Multi-Session Budget Optimization for Forward Auction-based Federated Learning. | Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li |
| 2025 | ICML | Commute Graph Neural Networks. | Wei Zhuo, Han Yu, Guang Tan, Xiaoxiao Li |
| 2025 | MICCAI | Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt. | Jiahui Yu, Tianyu Ma, Shenjian Gu, Yuping Guo, Feng Chen, Xiaoxiao Li, Yingke Xu |
| 2025 | MICCAI | PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis. | Beidi Zhao, SangMook Kim, Hao Chen, Chen Zhou, Zu-hua Gao, Gang Wang, Xiaoxiao Li |
| 2024 | APSEC | FRELinker: A Novel Issue-Commit Link Recovery Model Based on Feature Refinement and Expansion with Multi-Classifier Fusion. | Bangchao Wang, Xinyu He, Hongyan Wan, Xiaoxiao Li, Jiaxu Zhu, Yukun Cao |
| 2024 | APSEC | HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery. | Zhiyuan Zou, Bangchao Wang, Hongyan Wan, Huan Jin, Xiaoxiao Li, Yukun Cao |
| 2024 | CVPR | Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning. | Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li |
| 2024 | ECCV | Federated Learning with Local Openset Noisy Labels. | Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu |
| 2024 | ICLR | Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. | Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou |
| 2024 | ICML | Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors. | Chun-Yin Huang, Kartik Srinivas, Xin Zhang, Xiaoxiao Li |
| 2024 | ICML | FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. | Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li |
| 2024 | ICML | Learning High-Order Relationships of Brain Regions. | Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying |
| 2024 | IGARSS | Coherence Analysis and Interferometric Measurement of P-Band Repeat Pass UAV InSAR. | Xin Xie, Yunkai Deng, Zihang Jiang, Xiaoxiao Li, Weiming Tian |
| 2024 | IJCAI | Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. | Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li |
| 2024 | IJCAI | Intelligent Agents for Auction-based Federated Learning: A Survey. | Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus |
| 2024 | IJCAI | A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. | Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li |
| 2024 | IJCAI | Dual Calibration-based Personalised Federated Learning. | Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li |
| 2024 | IJCAI | FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. | Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li |
| 2024 | MICCAI | Federated Impression for Learning with Distributed Heterogeneous Data. | Atrin Arya, Sana Ayromlou, Armin Saadat, Purang Abolmaesumi, Xiaoxiao Li |
| 2024 | MICCAI | Debiased Noise Editing on Foundation Models for Fair Medical Image Classification. | Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li |
| 2024 | MICCAI | HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks. | Sadaf Sadeghian, Xiaoxiao Li, Margo I. Seltzer |
| 2024 | MICCAI | Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification. | Jiahui Yu, Xuna Wang, Tianyu Ma, Xiaoxiao Li, Yingke Xu |
| 2024 | MICCAI | Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. | Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan |
| 2024 | SMC | Advancements in Bug Traceability: A Systematic Mapping Study. | Bangchao Wang, Shouya Hu, Luyao Ye, Hongyan Wan, Zhiyuan Zou, Xiaoxiao Li, Jiaxu Zhu |
| 2023 | ICLR | PerFedMask: Personalized Federated Learning with Optimized Masking Vectors. | Mehdi Setayesh, Xiaoxiao Li, Vincent W. S. Wong |
| 2023 | ICML | Federated Adversarial Learning: A Framework with Convergence Analysis. | Xiaoxiao Li, Zhao Song, Jiaming Yang |
| 2023 | MICCAI | Community-Aware Transformer for Autism Prediction in fMRI Connectome. | Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Rex Ying, Xiaoxiao Li |
| 2023 | MICCAI | FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. | Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li |
| 2023 | MICCAI | Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. | Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou |
| 2023 | QRS | Research on Active Detection Methods for Video Anomaly Events Based on Concept Semantics. | Ruiqi Luo, Wenjie Zhang, Xiaoxiao Li, Zhaojing Wang, Luyao Ye |
| 2022 | AAAI | Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? | Weina Jin, Xiaoxiao Li, Ghassan Hamarneh |
| 2022 | CIKM | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | ECCV | Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. | Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada |
| 2022 | ICLR | Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients. | Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama |
| 2022 | Interspeech | SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition. | Li Fu, Xiaoxiao Li, Runyu Wang, Fan Lu, Zhengchen Zhang, Meng Chen, Youzheng Wu, Xiaodong He |
| 2022 | MICCAI | DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain. | Garima Aggarwal, Chun-Yin Huang, Di Fan, Xiaoxiao Li, Zehua Wang |
| 2022 | MICCAI | Class Impression for Data-Free Incremental Learning. | Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang, Xiaoxiao Li |
| 2022 | MICCAI | Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. | Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang |
| 2022 | MICCAI | Efficient Medical Image Assessment via Self-supervised Learning. | Chun-Yin Huang, Qi Lei, Xiaoxiao Li |
| 2022 | MICCAI | Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. | Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou |
| 2022 | MICCAI | Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis. | Ruinan Jin, Xiaoxiao Li |
| 2021 | ASRU | Incremental Learning for End-to-End Automatic Speech Recognition. | Li Fu, Xiaoxiao Li, Libo Zi, Zhengchen Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2021 | BMVC | Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. | Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato |
| 2021 | ICLR | On InstaHide, Phase Retrieval, and Sparse Matrix Factorization. | Sitan Chen, Xiaoxiao Li, Zhao Song, Danyang Zhuo |
| 2021 | ICLR | FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. | Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou |
| 2021 | ICML | FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis. | Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang |
| 2021 | MICCAI | EMA: Auditing Data Removal from Trained Models. | Yangsibo Huang, Xiaoxiao Li, Kai Li |
| 2020 | ECCV | Knowledge Distillation Meets Self-supervision. | Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy |
| 2020 | ICML | Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. | Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan |
| 2020 | IJCNN | A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments. | Xiaoxiao Li, Sheng Bi, Yongxing Wang, Min Dong, Zhangshao Chen |
| 2020 | MICCAI | Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. | Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2020 | MICCAI | Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. | Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan |
| 2020 | MICCAI | Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. | Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2020 | MICCAI | Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. | Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan |
| 2019 | CVPR | Hybrid Task Cascade for Instance Segmentation. | Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin |
| 2019 | CVPR | Deep Flow-Guided Video Inpainting. | Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy |
| 2019 | ICNC | Construction of Multivariable Fuzzy Time Series Model Based on Multidimensional Information Distribution Technology. | Ye Xue, Xiaoxiao Li, Hengchun Fu |
| 2019 | MICCAI | Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. | Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan |
| 2019 | MICCAI | Graph Neural Network for Interpreting Task-fMRI Biomarkers. | Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2019 | MICCAI | Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder. | Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James S. Duncan, James C. Gee, Shi Gu |
| 2019 | MICCAI | Invertible Network for Classification and Biomarker Selection for ASD. | Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan |
| 2018 | ECCV | Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation. | Xiaoxiao Li, Chen Change Loy |
| 2018 | ISPA | Routing and Spectrum Allocation for Time Varying Traffic by Artificial Bee Colony Algorithm in Elastic Optical Networks. | Gang Xu, Xiaoxiao Li, Guojun Yuan, Zhan Wang, Guangming Tan, Xuejun An |
| 2018 | MICCAI | Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. | Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2018 | MICCAI | Prediction of Severity and Treatment Outcome for ASD from fMRI. | Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan |
| 2017 | CVPR | Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade. | Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang |
| 2017 | IECON | An analytical approach for obtaining the transient solution of the fractional-order buck converter in CCM. | Xiaoxiao Li, Yanfeng Chen, Xi Chen, Bo Zhang, Dong Yuan Qiu |
| 2016 | ACCV | Pedestrian Color Naming via Convolutional Neural Network. | Zhiyi Cheng, Xiaoxiao Li, Chen Change Loy |
| 2015 | ICCV | Semantic Image Segmentation via Deep Parsing Network. | Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen Change Loy, Xiaoou Tang |
| 2013 | KDD | SAE: social analytic engine for large networks. | Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang |
| 2013 | PAKDD | Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters. | Xiaoxiao Li, Jiyang Chen, Osmar R. Zaane |
| 2013 | SIGCOMM | BigStation: enabling scalable real-time signal processingin large mu-mimo systems. | Qing Yang, Xiaoxiao Li, Hongyi Yao, Ji Fang, Kun Tan, Wenjun Hu, Jiansong Zhang, Yongguang Zhang |