no code implementations • 20 Mar 2024 • Haoyu Liu, Yaoxian Song, Xuwu Wang, Zhu Xiangru, Zhixu Li, Wei Song, Tiefeng Li
Text-image retrieval research is needed to realize high-quality and efficient retrieval between different modalities.
no code implementations • 14 Mar 2024 • Chen Liu, Shibo He, Haoyu Liu, Jiming Chen
To decrease the inference time, we reduce the variable dimensions in the intention-aware diffusion process and restrict the initial distribution of the action-aware diffusion process, which leads to fewer diffusion steps.
1 code implementation • 10 Mar 2024 • Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
In this paper, we introduce a substantial crowdsourcing annotation dataset collected from a real-world crowdsourcing platform.
no code implementations • 21 Feb 2024 • Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang
The remarkable capability of large language models (LLMs) for in-context learning (ICL) needs to be activated by demonstration examples.
no code implementations • 20 Feb 2024 • Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan
To address this, we introduce XRL-Bench, a unified standardized benchmark tailored for the evaluation and comparison of XRL methods, encompassing three main modules: standard RL environments, explainers based on state importance, and standard evaluators.
1 code implementation • 20 Jan 2024 • Chen Liu, Shibo He, Haoyu Liu, Shizhong Li
Then, the subsequence features are extracted to determine the presence of collective anomalies.
1 code implementation • 17 Dec 2023 • Qihang Zhou, Shibo He, Haoyu Liu, Jiming Chen, Wenchao Meng
In this paper, we propose MTGFlow, an unsupervised anomaly detection approach for MTS anomaly detection via dynamic Graph and entity-aware normalizing Flow.
no code implementations • 20 Nov 2023 • Man Chen, Wenquan Dong, Hao Yu, Iain Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T. A. Mitchard
Consequently, we proposed a novel deep learning framework termed the multi-modal attention remote sensing network (MARSNet) to estimate forest dominant height by extrapolating dominant height derived from GEDI, using Setinel-1 data, ALOS-2 PALSAR-2 data, Sentinel-2 optical data and ancillary data.
no code implementations • 15 Nov 2023 • Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan
These annotators could leave substantial historical annotation records on the crowdsourcing platforms, which can benefit label aggregation, but are ignored by previous works.
1 code implementation • 31 Oct 2023 • Haoyu Liu, Alec F. Diallo, Paul Patras
Specifically, we cast the problem of finding adversarial flows that will be misclassified as a sequence generation task, which we solve with Amoeba, a novel reinforcement learning algorithm that we design.
1 code implementation • 28 Jul 2023 • Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang
In this paper, we investigate the problem of learning with noisy labels in real-world annotation scenarios, where noise can be categorized into two types: factual noise and ambiguity noise.
1 code implementation • 17 May 2023 • Haoyu Liu, Ningyi Liao, Siqiang Luo
Graph neural networks (GNNs) realize great success in graph learning but suffer from performance loss when meeting heterophily, i. e. neighboring nodes are dissimilar, due to their local and uniform aggregation.
2 code implementations • 3 Aug 2022 • Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng
Multivariate time series anomaly detection has been extensively studied under the semi-supervised setting, where a training dataset with all normal instances is required.
no code implementations • 9 Mar 2022 • Haoyu Liu, Yang Liu, Hongkai He, Hangfang Yang
People always desire an embodied agent that can perform a task by understanding language instruction.
no code implementations • 20 Feb 2022 • Haoyu Liu, Paul Patras
Machine Learning (ML) techniques are increasingly adopted to tackle ever-evolving high-profile network attacks, including DDoS, botnet, and ransomware, due to their unique ability to extract complex patterns hidden in data streams.
1 code implementation • 30 Jan 2022 • Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen
The NAR explores the quality tiers of the search space globally and classifies each individual to the tier they belong to according to its global ranking.
no code implementations • 18 Sep 2021 • Haizhou Du, Xiaojie Feng, Qiao Xiang, Haoyu Liu
Specifically, in LGC, local gradients from a device is coded into several layers and each layer is sent to the FL server along a different channel.
no code implementations • 17 Mar 2021 • Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao
Meanwhile, we propose a post-processing framework to tune the original ensemble results through a stacking process so that we can achieve a trade off between fairness and detection performance.
no code implementations • 17 Nov 2017 • Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huimin Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai
So we propose to model user preference jointly with user behavior ID features and behavior images.