| 2026 | AAAI | Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization. | Yuliang Chen, Xi Lin, Jun Wu, Xiangrui Cai, Qiaolun Zhang, Xichun Fan, Jiapeng Xu, Xiu Su |
| 2026 | AAAI | CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models. | Ping Guo, Qingfu Zhang, Xi Lin |
| 2026 | AAAI | Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection. | Siyuan Li, Xi Lin, Guangyan Li, Zehao Liu, Aodu Wulianghai, Li Ding, Jun Wu, Jianhua Li |
| 2026 | AAAI | Robust Causal Discovery Under Imperfect Structural Constraints. | Zidong Wang, Xi Lin, Chuchao He, Xiaoguang Gao |
| 2026 | DASFAA | Is There a Structural Privacy Risk in Graph Prompting with LLMs? | Jiani Zhu, Xi Lin, Yuxin Qi, Qinghua Mao, Jianhua Li, Jun Wu |
| 2026 | DATE | Timing-driven Detailed Placement via TimingMask-guided Path-level Optimization. | Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Ke Xue, Yunqi Shi, Xi Lin, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2026 | INFOCOM | xCCLTuner: Treating xCCL as Black-Box and Automatically Tuning. | Chenxu Wang, Wentao Fan, Zhehao Lin, Peirui Cao, Xi Lin, Xiaohu Xu, Wanchun Dou, Guihai Chen, Chen Tian |
| 2026 | SIGIR | FairSpec: Expert Specialization for Fair LLM-based Recommendation. | Yuchen Zheng, Xuan Pan, Jing Wang, Chuanchang Zhang, Xi Lin, Chunyao Song, Xiangrui Cai, Xiaojie Yuan |
| 2025 | AAAI | Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. | Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang |
| 2025 | AAAI | Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. | Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng |
| 2025 | AAAI | Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation. | Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li |
| 2025 | AAAI | Multi-Objective Evolution of Heuristic Using Large Language Model. | Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang |
| 2025 | AAAI | Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction. | Quan Zhang, Yuxin Qi, Xi Tang, Rui Yuan, Xi Lin, Ke Zhang, Chun Yuan |
| 2025 | ASPLOS | Squeezing Operator Performance Potential for the Ascend Architecture. | Yuhang Zhou, Zhibin Wang, Guyue Liu, Shipeng Li, Xi Lin, Zibo Wang, Yongzhong Wang, Fuchun Wei, Jingyi Zhang, Zhiheng Hu, Yanlin Liu, Chunsheng Li, Ziyang Zhang, Yaoyuan Wang, Bin Zhou, Wanchun Dou, Guihai Chen, Chen Tian |
| 2025 | CVPR | MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. | Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang |
| 2025 | DAC | ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating. | Yunqi Shi, Xi Lin, Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2025 | DATE | Timing-Driven Global Placement by Efficient Critical Path Extraction. | Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian |
| 2025 | EMO | Large Language Model for Multiobjective Evolutionary Optimization. | Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang |
| 2025 | ICLR | Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. | Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang |
| 2025 | ICLR | Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. | Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang |
| 2025 | ICLR | IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning. | Quan Zhang, Yuxin Qi, Xi Tang, Jinwei Fang, Xi Lin, Ke Zhang, Chun Yuan |
| 2025 | ICML | Stable Fair Graph Representation Learning with Lipschitz Constraint. | Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu |
| 2025 | IJCAI | Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions. | Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang |
| 2025 | IJCNN | Electricity Theft Detection Scheme Based on CNN-AE-LSTM Hybrid Model Against Evasion Attacks. | Zhuoqun Xia, Xi Lin, Kaixin Zhou, Jingjing Tan |
| 2025 | IROS | DRACo-SLAM2: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams with Object Graph Matching. | Yewei Huang, John McConnell, Xi Lin, Brendan J. Englot |
| 2025 | MICCAI | Multimodal Fusion Network with Distribution-Based Tumor-Marker Imputation for Multi-origin Metastatic Cervical Lymphadenopathy Classification. | Rui Li, Chunyan Li, Xi Lin, Jinfeng Xu, Fang Li, Yao Lu |
| 2025 | PPoPP | Swift Unfolding of Communities: GPU-Accelerated Louvain Algorithm. | Zhibin Wang, Xi Lin, Xue Li, Pinhuan Wang, Ziheng Meng, Hang Liu, Chen Tian, Sheng Zhong |
| 2025 | WWW | FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. | Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen |
| 2025 | WISE | Evidence Retrieval for Chinese Tabular Data in the Web Based on Dense Passage Retriever. | Xianyu Zha, Peng Yang, Xi Lin, Zhenqi Wang |
| 2025 | SecureComm | CLATM: A Contrastive Learning-Based FDIA Detection Method with Attention Timestamp Masking for REIoT. | Zhuoqun Xia, Haidong Tang, Xi Lin |
| 2024 | AAAI | What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. | Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou |
| 2024 | CSCWD | Trading Trust for Privacy: Socially-Motivated Personalized Privacy-Preserving Collaborative Learning in IoT. | Yuliang Chen, Xi Lin, Gaolei Li, Lixing Chen, Jing Wang, Siyi Liao, Jianhua Li |
| 2024 | GECCO | L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. | Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang |
| 2024 | ICCCN | Leveraging Blockchain and Coded Computing for Secure Edge Collaborate Learning in Industrial IoT. | Yuliang Chen, Xi Lin, Hansong Xu, Siyi Liao, Jin Guo, Chunming Zou |
| 2024 | ICML | Smooth Tchebycheff Scalarization for Multi-Objective Optimization. | Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang |
| 2024 | ICML | Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. | Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang |
| 2024 | IJCAI | Prompt Learning for Generalized Vehicle Routing. | Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2024 | ICRA | Multi-Robot Autonomous Exploration and Mapping Under Localization Uncertainty with Expectation-Maximization. | Yewei Huang, Xi Lin, Brendan J. Englot |
| 2024 | ICRA | Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning. | Xi Lin, Yewei Huang, Fanfei Chen, Brendan J. Englot |
| 2024 | INFOCOM | Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networks. | Siyuan Li, Xi Lin, Hansong Xu, Kun Hua, Xiaomin Jin, Gaolei Li, Jianhua Li |
| 2024 | KDD | Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. | Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2024 | PPSN | Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. | Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang |
| 2024 | PPSN | Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. | Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang |
| 2024 | VTC | Leveraging Neural Radiance Field and Semantic Communication for Robust 3D Reconstruction. | Rui Xu, Gaolei Li, Xi Lin, Yuchen Liu, Mingzhe Chen, Jianhua Li |
| 2024 | WCNC | Local Differential Private Spatio- Temporal Dynamic Graph Learning for Wireless Social Networks. | Jiani Zhu, Xi Lin, Yuxin Qi, Gaolei Li, Chaofeng Zhang, Jianhua Li |
| 2024 | WWW | LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning. | Yuxin Qi, Xi Lin, Ziyao Liu, Gaolei Li, Jingyu Wang, Jianhua Li |
| 2023 | CSCWD | Blockchain-Assisted UAV Data Free-Boundary Spatial Querying and Authenticated Sharing. | Ya Zhang, Xi Lin, Jun Wu, Bei Pei, Yunyun Han |
| 2023 | DASFAA | TrajTrace: Tracing Moving Objects over Social Media. | Zhihao Yang, Yunqi Zhang, Songda Li, Qinhui Chen, Hui Zhao, Wei Cai, Xi Lin |
| 2023 | EMNLP | Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. | Zeyu Liu, Tim Dettmers, Xi Lin, Veselin Stoyanov, Xian Li |
| 2023 | EMO | Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. | Ping Guo, Qingfu Zhang, Xi Lin |
| 2023 | GLOBECOM | Digital Twin and DRL-Driven Semantic Dissemination for 6G Autonomous Driving Service. | Yihang Tao, Jun Wu, Xi Lin, Shahid Mumtaz, Soumaya Cherkaoui |
| 2023 | ICML | Continuation Path Learning for Homotopy Optimization. | Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang |
| 2023 | ICPADS | SemSBA: Semantic-perturbed Stealthy Backdoor Attack on Federated Semi-supervised Learning. | Yingrui Tong, Jun Feng, Gaolei Li, Xi Lin, Chengcheng Zhao, Xiaoyu Yi, Jianhua Li |
| 2023 | IROS | Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning. | Xi Lin, John McConnell, Brendan J. Englot |
| 2023 | ISIT | Wireless Coded Distributed Learning with Gaussian-based Local Differential Privacy. | Yilei Xue, Xi Lin, Jun Wu, Jianhua Li |
| 2023 | SecureComm | Batch Lattice-Based Designated-Verifier ZK-SNARKs for R1CS. | Xi Lin, Han Xia, Yongqiang Li, Mingsheng Wang |
| 2022 | GLOBECOM | ZTEI: Zero-Trust and Edge Intelligence Empowered Continuous Authentication for Satellite Networks. | Peiyu Fu, Jun Wu, Xi Lin, Ao Shen |
| 2022 | GLOBECOM | Contrastive GNN-based Traffic Anomaly Analysis Against Imbalanced Dataset in IoT-based ITS. | Yang Wang, Xi Lin, Jun Wu, Ali Kashif Bashir, Wu Yang, Jianhua Li, Muhammad Imran |
| 2022 | GLOBECOM | Joint Routing, Channel, and Key-Rate Assignment for Resource-Efficient QKD Networking. | Qiaolun Zhang, Omran Ayoub, Alberto Gatto, Jun Wu, Xi Lin, Francesco Musumeci, Giacomo Verticale, Massimo Tornatore |
| 2022 | GLOBECOM | Metric Learning-based Few-Shot Malicious Node Detection for IoT Backhaul/Fronthaul Networks. | Ke Zhou, Xi Lin, Jun Wu, Ali Kashif Bashir, Jianhua Li, Muhammad Imran |
| 2022 | ICLR | Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. | Xi Lin, Zhiyuan Yang, Qingfu Zhang |
| 2022 | ICONIP | ND-NER: A Named Entity Recognition Dataset for OSINT Towards the National Defense Domain. | Xinyan Li, Dongxu Li, Zhihao Yang, Hui Zhao, Wei Cai, Xi Lin |
| 2022 | MOBICOM | When digital twin meets deep reinforcement learning in multi-UAV path planning. | Siyuan Li, Xi Lin, Jun Wu, Ali Kashif Bashir, Raheel Nawaz |
| 2020 | ICRA | Curvature sensing with a spherical tactile sensor using the color-interference of a marker array. | Xi Lin, Laurence Willemet, Alexandre Bailleul, Michal Wiertlewski |
| 2019 | CIKM | Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. | Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick |
| 2019 | VTC | Vehicle-to-Cloudlet: Game-Based Computation Demand Response for Mobile Edge Computing through Vehicles. | Xi Lin, Jianhua Li, Wu Yang, Jun Wu, Zhifeng Zong, Xiaodong Wang |
| 2017 | CEC | An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. | Xi Lin, Qingfu Zhang, Sam Kwong |
| 2016 | CEC | A decomposition based multiobjective evolutionary algorithm with classification. | Xi Lin, Qingfu Zhang, Sam Kwong |