no code implementations • 5 Oct 2022 • Qiong Zhang, Aline Talhouk, Gang Niu, Xiaoxiao Li
In this paper, we consider an important yet under-explored setting of FL, namely FL with mixed-type labels where different labeling criteria can be employed by various centers, leading to inter-center label space differences and challenging existing FL methods designed for the classical setting.
1 code implementation • CVPR 2022 • Jinyu Chen, Chen Gao, Erli Meng, Qiong Zhang, Si Liu
However, the crucial navigation clues (i. e., object-level environment layout) for embodied navigation task is discarded since the maintained vector is essentially unstructured.
1 code implementation • ICCV 2021 • Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu
State of the art (SOTA) few-shot learning (FSL) methods suffer significant performance drop in the presence of domain differences between source and target datasets.
no code implementations • 3 Jul 2021 • Qiong Zhang, Jiahua Chen
Do we gain anything by learning finite location-scale mixtures via a minimum Wasserstein distance estimator (MWDE)?
1 code implementation • CVPR 2021 • Chen Gao, Jinyu Chen, Si Liu, Luting Wang, Qiong Zhang, Qi Wu
The Remote Embodied Referring Expression (REVERIE) is a recently raised task that requires an agent to navigate to and localise a referred remote object according to a high-level language instruction.
1 code implementation • 28 Oct 2020 • Xin Ding, Qiong Zhang, William J. Welch
Modern methods often formulate the counting of cells from microscopic images as a regression problem and more or less rely on expensive, manually annotated training images (e. g., dot annotations indicating the centroids of cells or segmentation masks identifying the contours of cells).
1 code implementation • 20 Oct 2020 • Qiong Zhang, Jiahua Chen
Experiments based on simulated and real-world data show that the proposed split-and-conquer approach has comparable statistical performance with the global estimator based on the full dataset, if the latter is feasible.
1 code implementation • SEMEVAL 2020 • Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
Subtask-1 aims to determine whether a given sentence is a counterfactual statement or not.
no code implementations • ACL 2020 • Zhuoren Jiang, Zhe Gao, Yu Duan, Yangyang Kang, Changlong Sun, Qiong Zhang, Xiaozhong Liu
We propose a Semi-supervIsed GeNerative Active Learning (SIGNAL) model to address the imbalance, efficiency, and text camouflage problems of Chinese text spam detection task.
no code implementations • 22 May 2020 • Mengxi Wei, Yifan He, Qiong Zhang
Many business documents processed in modern NLP and IR pipelines are visually rich: in addition to text, their semantics can also be captured by visual traits such as layout, format, and fonts.
no code implementations • 4 May 2020 • Qiong Zhang
Extensive experiments on several benchmarks of complex networks demonstrate that our proposed method DRNMF is effective and has better performance than the state-of-the-art matrix factorization based methods for network embedding.
2 code implementations • 27 Feb 2020 • Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang
Multi-role dialogue understanding comprises a wide range of diverse tasks such as question answering, act classification, dialogue summarization etc.
1 code implementation • 19 Feb 2020 • Qiong Zhang, Archer Gong Zhang, Jiahua Chen
Existing methods such as the clustering-based approaches are renowned for their satisfactory performance and computationally efficiency.
no code implementations • WS 2019 • Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu
Social media platforms have been used for information and news gathering, and they are very valuable in many applications.
no code implementations • ACL 2020 • Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si
We propose an iterative learning framework for handling this challenge via adaptive transfer and augmentation of the training instances with the help of the available user-posed question-answer data.
no code implementations • IJCNLP 2019 • Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si
Sexual harassment occurred in a variety of situations, and categorization of the stories and extraction of their key elements will provide great help for the related parties to understand and address sexual harassment.
no code implementations • IJCNLP 2019 • Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang
Customers ask questions and customer service staffs answer their questions, which is the basic service model via multi-turn customer service (CS) dialogues on E-commerce platforms.
1 code implementation • IJCNLP 2019 • Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu
The VFGE can learn both the graph embeddings of the Chinese characters (local) and the latent variation families (global).
Ranked #1 on Chinese Spam Detection on SMS
no code implementations • ACL 2019 • Quanzhi Li, Qiong Zhang, Luo Si
In this study, we propose a new multi-task learning approach for rumor detection and stance classification tasks.
no code implementations • SEMEVAL 2019 • Quanzhi Li, Qiong Zhang, Luo Si
This paper describes our system for SemEval 2019 RumorEval: Determining rumor veracity and support for rumors (SemEval 2019 Task 7).
no code implementations • NAACL 2019 • Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao
In VRDs, visual and layout information is critical for document understanding, and texts in such documents cannot be serialized into the one-dimensional sequence without losing information.
no code implementations • 6 Mar 2019 • Mengxi Wei, Yifan He, Qiong Zhang, Luo Si
This paper proposes a novel approach based on multiple instance learning to address the problem of noisy answers by exploring consensus among answers to the same question in training end-to-end KBQA models.
Knowledge Base Question Answering Multiple Instance Learning
no code implementations • 14 Nov 2018 • Shanchan Wu, Kai Fan, Qiong Zhang
Distant supervised relation extraction has been successfully applied to large corpus with thousands of relations.
no code implementations • NAACL 2018 • Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si
Entity recognition is a widely benchmarked task in natural language processing due to its massive applications.
1 code implementation • 10 Feb 2018 • Hongliang Liang, Mingyu Li, Qiong Zhang, Yue Yu, Lin Jiang, Yixiu Chen
Intel SGX provisions shielded executions for security-sensitive computation, but lacks support for trusted system services (TSS), such as clock, network and filesystem.
Cryptography and Security
3 code implementations • 25 Jan 2018 • Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng
Our method is applied not only to commonly used Chinese characters but also to calligraphy work with aesthetic values.
no code implementations • 25 Jul 2017 • Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang
The item with the highest predicted open rate is then chosen to be included in the push notification message for each user.