Hu, Kai

22 publications

ICLR 2026 Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models Yinrong Hong, Zhiquan Tan, Kai Hu

ICLR 2026 LipNeXt: Scaling up Lipschitz-Based Certified Robustness to Billion-Parameter Models Kai Hu, Haoqi Hu, Matt Fredrikson

NeurIPS 2025 Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning Kai Hu, Zhang Yu, Yuan Zhang, Zhineng Chen, Xieping Gao

AAAI 2025 Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation Yanglin Huang, Kai Hu, Yuan Zhang, Zhineng Chen, Xieping Gao

AAAI 2025 Explicit Relational Reasoning Network for Scene Text Detection Yuchen Su, Zhineng Chen, Yongkun Du, Zhilong Ji, Kai Hu, Jinfeng Bai, Xieping Gao

ICLR 2025 Learning Graph Invariance by Harnessing Spuriosity Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen

CVPR 2025 M-LLM Based Video Frame Selection for Efficient Video Understanding Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi

CVPR 2025 Self-Supervised ControlNet with Spatio-Temporal Mamba for Real-World Video Super-Resolution Shijun Shi, Jing Xu, Lijing Lu, Zhihang Li, Kai Hu

ICLR 2024 A Recipe for Improved Certifiable Robustness Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson

ICML 2024 Completing Visual Objects via Bridging Generation and Segmentation Xiang Li, Yinpeng Chen, Chung-Ching Lin, Hao Chen, Kai Hu, Rita Singh, Bhiksha Raj, Lijuan Wang, Zicheng Liu

NeurIPS 2024 Efficient LLM Jailbreak via Adaptive Dense-to-Sparse Constrained Optimization Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson

ICML 2024 Empowering Graph Invariance Learning with Deep Spurious Infomax Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang

NeurIPSW 2024 Infecting LLM Agents via Generalizable Adversarial Attack Weichen Yu, Kai Hu, Tianyu Pang, Chao Du, Min Lin, Matt Fredrikson

NeurIPS 2024 Multi-View Masked Contrastive Representation Learning for Endoscopic Video Analysis Kai Hu, Ye Xiao, Yuan Zhang, Xieping Gao

NeurIPS 2024 One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation Kai Hu, Jinhao Li, Yuan Zhang, Xiongjun Ye, Xieping Gao

NeurIPS 2024 Slight Corruption in Pre-Training Data Makes Better Diffusion Models Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj

AAAI 2023 A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Images Kai Hu, Zhuoyuan Wu, Zhuoyao Zhong, Weihong Lin, Lei Sun, Qiang Huo

CVPR 2023 Enhanced Training of Query-Based Object Detection via Selective Query Recollection Fangyi Chen, Han Zhang, Kai Hu, Yu-Kai Huang, Chenchen Zhu, Marios Savvides

NeurIPS 2023 Unlocking Deterministic Robustness Certification on ImageNet Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson

CVPR 2022 Text to Image Generation with Semantic-Spatial Aware GAN Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn

ICCV 2021 Contrast and Order Representations for Video Self-Supervised Learning Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen

NeurIPS 2020 Is Normalization Indispensable for Training Deep Neural Network? Jie Shao, Kai Hu, Changhu Wang, Xiangyang Xue, Bhiksha Raj