Xiangyu Yin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Object Tracking

Scene Understanding

Top Venues

Publications

Jiaxu Liu, Xiangyu Yin, Sihao Wu, Jianhong Wang, Meng Fang, Xinping Yi, Xiaowei Huang
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming. CoRR (2024)
Jifeng Song, Kai Huang, Xiangyu Yin, Boyuan Yang, Wei Gao
Achieving Sparse Activation in Small Language Models. CoRR (2024)
Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend
DIMBA: discretely masked black-box attack in single object tracking. Mach. Learn. 113 (4) (2024)
Xiangyu Yin, Wenjie Ruan
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization. CoRR (2024)
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning. AAAI (2024)
Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE. CoRR (2024)
Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao
PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones. MobiSys (2023)
Zheng Wang, Wenjie Ruan, Xiangyu Yin
: A tool for understanding adversarial robustness of Vision Transformers. Softw. Impacts 15 (2023)
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning. CoRR (2023)
Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking. CoRR (2022)
Xiangyu Yin, Chrysanthos E. Gounaris
Computational discovery of Metal-Organic Frameworks for sustainable energy systems: Open challenges. Comput. Chem. Eng. 167 (2022)
Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao
Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones. SenSys (2022)
Christopher L. Hanselman, Xiangyu Yin, David C. Miller, Chrysanthos E. Gounaris
MatOpt: A Python Package for Nanomaterials Design Using Discrete Optimization. J. Chem. Inf. Model. 62 (2) (2022)
Xiangyu Yin, Xiaohong Liu, Huan Liu
FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset. ICANN (3) (2021)
Yanchao Sun, Xiangyu Yin, Furong Huang
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. AAAI (2021)
Yanchao Sun, Xiangyu Yin, Furong Huang
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. CoRR (2020)
Xiangyu Yin
Self-Calibrating Scene Understanding Based on Motifnet. PRCV (2) (2019)