Lin, Xiao

25 publications

TMLR 2026 Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
ICML 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong
ICCV 2025 CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation Xiao Lin, Yun Peng, Liuyi Wang, Xianyou Zhong, Minghao Zhu, Yi Feng, Jingwei Yang, Chengju Liu, Qijun Chen
NeurIPS 2025 NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals Shuai Huang, Huan Luo, Haodong Jing, Qixian Zhang, Litao Chang, Yating Feng, Xiao Lin, Chendong Qin, Han Chen, Shuwen Jia, Siyi Sun, Yongxiong Wang
ICLRW 2025 TeleLoRA: Teleporting Alignment Across Large Language Models for Trojan Mitigation Xiao Lin, Manoj Acharya, Anirban Roy, Susmit Jha
ICLR 2025 UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition Xiao Lin, Yuge Huang, Jianqing Xu, Yuxi Mi, Shuigeng Zhou, Shouhong Ding
NeurIPS 2024 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
CVPR 2024 Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6d Object Pose Estimation Xiao Lin, Wenfei Yang, Yuan Gao, Tianzhu Zhang
NeurIPSW 2024 Investigating LLM Memorization: Bridging Trojan Detection and Training Data Extraction Manoj Acharya, Xiao Lin, Susmit Jha
AAAI 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock
NeurIPS 2024 MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer Minghao Zhu, Zhengpu Wang, Mengxian Hu, Ronghao Dang, Xiao Lin, Xun Zhou, Chengju Liu, Qijun Chen
LoG 2023 BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
CVPR 2023 PyPose: A Library for Robot Learning with Physics-Based Optimization Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian Scherer
ICCV 2023 TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha
NeurIPSW 2023 Universal Trojan Signatures in Reinforcement Learning Manoj Acharya, Weichao Zhou, Anirban Roy, Xiao Lin, Wenchao Li, Susmit Jha
CVPRW 2022 Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye, Xiao Lin, Giedrius Burachas, Ajay Divakaran, Yi Yao
ICLR 2022 Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
ICCV 2021 Confidence Calibration for Domain Generalization Under Covariate Shift Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda Gervasio
ECCV 2016 3D Point Cloud Video Segmentation Based on Interaction Analysis Xiao Lin, Josep R. Casas, Montse Pardàs
ECCVW 2016 3D Point Cloud Video Segmentation Based on Interaction Analysis Xiao Lin, Josep R. Casas, Montse Pardàs
ECCV 2016 Leveraging Visual Question Answering for Image-Caption Ranking Xiao Lin, Devi Parikh
ICML 2015 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss Yuchen Zhang, Xiao Lin
CVPR 2015 Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks Xiao Lin, Devi Parikh
ICCV 2015 Learning Common Sense Through Visual Abstraction Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh
ICML 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization Yuchen Zhang, Xiao Lin