Huang, Hao

24 publications

TMLR 2025 Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud Mengxi Wu, Hao Huang, Yi Fang, Mohammad Rostami
AAAI 2025 OpenVIS: Open-Vocabulary Video Instance Segmentation Pinxue Guo, Hao Huang, Peiyang He, Xuefeng Liu, Tianjun Xiao, Wenqiang Zhang
ICCV 2025 Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks Hao Huang, Shuaihang Yuan, Geeta Chandra Raju Bethala, Congcong Wen, Anthony Tzes, Yi Fang
NeurIPS 2024 $\texttt{dattri}$: A Library for Efficient Data Attribution Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma
NeurIPS 2024 Benchmarking Complex Instruction-Following with Multiple Constraints Composition Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang
ICLRW 2024 DUAW: Data-Free Universal Adversarial Watermark Against Stable Diffusion Customization Xiaoyu Ye, Hao Huang, Jiaqi An, Yongtao Wang
AAAI 2024 Energy Efficient Streaming Time Series Classification with Attentive Power Iteration Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo
CVPR 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang
ECCV 2024 FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
NeurIPS 2024 GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance Shuaihang Yuan, Hao Huang, Yu Hao, Congcong Wen, Anthony Tzes, Yi Fang
ECCV 2024 Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai
AAAI 2024 Learning Diffusions Under Uncertainty Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang
AAAI 2024 QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-Identification Chunyu Hu, Hong Zhang, Chao Liang, Hao Huang
ICCV 2023 Efficient Decision-Based Black-Box Patch Attacks on Video Recognition Kaixun Jiang, Zhaoyu Chen, Hao Huang, Jiafeng Wang, Dingkang Yang, Bo Li, Yan Wang, Wenqiang Zhang
ICMLW 2023 Less-Energy-Usage Network with Batch Power Iteration Hao Huang, Tapan Shah, Scott C Evans, Shinjae Yoo
CVPR 2023 T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection Hao Huang, Ziyan Chen, Huanran Chen, Yongtao Wang, Kevin Zhang
ICLR 2022 Adaptive Wavelet Transformer Network for 3D Shape Representation Learning Hao Huang, Yi Fang
AAAI 2022 CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma
CVPR 2022 Fine-Grained Predicates Learning for Scene Graph Generation Xinyu Lyu, Lianli Gao, Yuyu Guo, Zhou Zhao, Hao Huang, Heng Tao Shen, Jingkuan Song
ECCV 2022 Manifold Adversarial Learning for Cross-Domain 3D Shape Representation Hao Huang, Cheng Chen, Yi Fang
IJCAI 2022 Reconstructing Diffusion Networks from Incomplete Data Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
AAAI 2021 Diffusion Network Inference from Partial Observations Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li
AAAI 2019 Learning Diffusions Without Timestamps Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao
AAAI 2018 Directional Label Rectification in Adaptive Graph Xiaoqian Wang, Hao Huang