1 code implementation • 8 Mar 2024 • Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao
The Dual Cross-modal Information Disentanglement (DCID) model, utilizing a unified codebook, shows promising results in achieving fine-grained representation and cross-modal generalization.
1 code implementation • 12 Feb 2024 • Yueqin Yin, Zhendong Wang, Yi Gu, Hai Huang, Weizhu Chen, Mingyuan Zhou
In the field of large language models (LLMs), aligning models with the diverse preferences of users is a critical challenge.
1 code implementation • 6 Nov 2023 • Hao Zhou, Tiancheng Shen, Xu Yang, Hai Huang, Xiangtai Li, Lu Qi, Ming-Hsuan Yang
We benchmarked the proposed evaluation metrics on 12 open-vocabulary methods of three segmentation tasks.
1 code implementation • 24 Oct 2023 • Jay Zhangjie Wu, Xiuyu Li, Difei Gao, Zhen Dong, Jinbin Bai, Aishani Singh, Xiaoyu Xiang, Youzeng Li, Zuwei Huang, Yuanxi Sun, Rui He, Feng Hu, Junhua Hu, Hai Huang, Hanyu Zhu, Xu Cheng, Jie Tang, Mike Zheng Shou, Kurt Keutzer, Forrest Iandola
In this paper we present a retrospective on the competition and describe the winning method.
no code implementations • 11 Oct 2023 • Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
Such a Composite Backdoor Attack (CBA) is shown to be stealthier than implanting the same multiple trigger keys in only a single component.
no code implementations • 11 Oct 2023 • Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
Specifically, the VPPTaaS provider optimizes a visual prompt given downstream data, and downstream users can use this prompt together with the large pre-trained model for prediction.
no code implementations • 9 Mar 2023 • Yaqi Sun, Wenchuan Wu, Yi Lin, Hai Huang, Hao Chen
The main goal of distribution network (DN) expansion planning is essentially to achieve minimal investment constrained with specified reliability requirements.
1 code implementation • 4 Sep 2022 • Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
Existing studies on neural architecture search (NAS) mainly focus on efficiently and effectively searching for network architectures with better performance.
no code implementations • 28 Oct 2021 • Hao Zhou, Dongchun Ren, Xu Yang, Mingyu Fan, Hai Huang
First, with the continuation of time, the prediction error at each time step increases significantly, causing the final displacement error to be impossible to ignore.
no code implementations • 7 Jan 2021 • Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
Specifically, we formulate our attack as an optimization problem, such that the injected ratings would maximize the number of normal users to whom the target items are recommended.
2 code implementations • 25 Mar 2019 • Yidong Xia, Ansel Blumers, Zhen Li, Lixiang Luo, Yu-Hang Tang, Joshua Kane, Hai Huang, Matthew Andrew, Milind Deo, Jan Goral
Lastly, we demonstrate, through a flow simulation in realistic shale pores, that the CPU counterpart requires 840 Power9 cores to rival the performance delivered by our package with four V100 GPUs on ORNL's Summit architecture.
Computational Physics