Haotian Xue

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Diffusion Models

Attribute Grammars

Top Venues

Expert Syst. Appl.

Publications

Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
Toward effective protection against diffusion-based mimicry through score distillation. ICLR (2024)
Yili Wang, Haotian Xue, Xin Wang
A two-stage co-adversarial perturbation to mitigate out-of-distribution generalization of large-scale graph. Expert Syst. Appl. 255 (2024)
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. CoRR (2024)
Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control. CoRR (2024)
Daniel Rogers, Haotian Xue, Fred Kish, Bardia Pezeshki, Alex Tselikov, Jonathan J. Wierer
High Temperature and Large Bandwidth Blue InGaN/GaN Micro-LEDs. OFC (2024)
Haotian Xue, Yongxin Chen
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think. CoRR (2024)
Yipu Chen, Haotian Xue, Yongxin Chen
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies. CoRR (2024)
Xin Juan, Xiao Liang, Haotian Xue, Xin Wang
Multi-strategy adaptive data augmentation for Graph Neural Networks. Expert Syst. Appl. 258 (2024)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. NeurIPS (2023)
Haotian Xue, Youssef Michel, Dongheui Lee
A Shared Control Approach Based on First-Order Dynamical Systems and Closed-Loop Variable Stiffness Control. J. Intell. Robotic Syst. 109 (4) (2023)
Haotian Xue, Youssef Michel, Dongheui Lee
A Shared Control Approach Based on First-Order Dynamical Systems and Closed-Loop Variable Stiffness Control. CoRR (2023)
Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. NeurIPS (2023)
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
Toward effective protection against diffusion based mimicry through score distillation. CoRR (2023)
Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel L. K. Yamins, Yunzhu Li, Hsiao-Yu Tung
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CoRR (2023)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. CoRR (2023)
Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CVPR Workshops (2023)
Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang
Negative samples selecting strategy for graph contrastive learning. Inf. Sci. 613 (2022)
Haotian Xue, Xin Wang, Ying Wang
Adversarial Training on Weights for Graph Neural Networks. ACAI (2022)
Xiao Liang, Xin Wang, Haotian Xue, Yintao Yang, Xin Juan, Ying Wang
AutoAUG : Automatic Data Augmentation for Graph Neural Networks. ACAI (2022)
Shengyuan Hou, Jushi Kai, Haotian Xue, Bingyu Zhu, Bo Yuan, Longtao Huang, Xinbing Wang, Zhouhan Lin
Syntax-guided Localized Self-attention by Constituency Syntactic Distance. EMNLP (Findings) (2022)
Jianxuan Liu, Haotian Xue, Junfeng Wang, Shuo Hong, Hao Fu, Omar Dib
A Systematic Comparison on Prevailing Intrusion Detection Models. PDCAT (2022)
Zirong Chen, Haotian Xue
Bil-DOS: A Bi-lingual Dialogue Ordering System (for Subway). CoRR (2022)
Shengyuan Hou, Jushi Kai, Haotian Xue, Bingyu Zhu, Bo Yuan, Longtao Huang, Xinbing Wang, Zhouhan Lin
Syntax-guided Localized Self-attention by Constituency Syntactic Distance. CoRR (2022)
Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR (2021)
Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Quanshi Zhang
A Hypothesis for the Aesthetic Appreciation in Neural Networks. CoRR (2021)
Hao Zhang, Jiayi Chen, Haotian Xue, Quanshi Zhang
Towards a Unified Evaluation of Explanation Methods without Ground Truth. CoRR (2019)