Search Results for author: Hai Huang

Found 11 papers, 6 papers with code

Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment

1 code implementation8 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.

Disentanglement

Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts

1 code implementation12 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.

Rethinking Evaluation Metrics of Open-Vocabulary Segmentaion

1 code implementation6 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.

Segmentation

Composite Backdoor Attacks Against Large Language Models

no code implementations11 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.

Backdoor Attack

Prompt Backdoors in Visual Prompt Learning

no code implementations11 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.

Backdoor Attack

Parallel Computing Based Solution for Reliability-Constrained Distribution Network Planning

no code implementations9 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.

On the Privacy Risks of Cell-Based NAS Architectures

1 code implementation4 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.

Neural Architecture Search

Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction

no code implementations28 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.

Autonomous Driving Pedestrian Trajectory Prediction +3

Data Poisoning Attacks to Deep Learning Based Recommender Systems

no code implementations7 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.

Data Poisoning Recommendation Systems

A GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics

2 code implementations25 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

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