no code implementations • EMNLP 2021 • Xinmeng Li, Qian Li, Wansen Wu, Quanjun Yin
Recently, the focus of dialogue state tracking has expanded from single domain to multiple domains.
no code implementations • ALTA 2021 • Rhys Biddle, Maciek Rybinski, Qian Li, Cecile Paris, Guandong Xu
The detection of hyperbole is an important stepping stone to understanding the intentions of a hyperbolic utterance.
1 code implementation • 28 May 2024 • Shuojue Yang, Qian Li, Daiyun Shen, Bingchen Gong, Qi Dou, Yueming Jin
Tissue deformation poses a key challenge for accurate surgical scene reconstruction.
1 code implementation • 24 Apr 2024 • Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
We argue that these factual reasoning-based explanations cannot answer critical what-if questions: What would happen to the GNN's decision if we were to alter the code graph into alternative structures?
no code implementations • 18 Apr 2024 • Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, JianXin Li
Existing methods are limited by their neglect of the multiple entity pairs in one sentence sharing very similar contextual information (ie, the same text and image), resulting in increased difficulty in the MMRE task.
1 code implementation • 26 Mar 2024 • Junhao Zheng, Chenhao Lin, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen
Deep learning-based monocular depth estimation (MDE), extensively applied in autonomous driving, is known to be vulnerable to adversarial attacks.
no code implementations • 7 Mar 2024 • Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, JianXin Li
Uncertainty representation is first designed for estimating the uncertainty scope of the entity pairs after transferring feature representations into a Gaussian distribution.
no code implementations • 28 Feb 2024 • Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, JianXin Li
However, understanding the intention behind social media posts remains challenging due to the implicitness of intentions in social media posts, the need for cross-modality understanding of both text and images, and the presence of noisy information such as hashtags, misspelled words, and complicated abbreviations.
2 code implementations • 16 Feb 2024 • Yangyifei Luo, Zhuo Chen, Lingbing Guo, Qian Li, Wenxuan Zeng, Zhixin Cai, JianXin Li
Entity alignment (EA) aims to identify entities across different knowledge graphs that represent the same real-world objects.
6 code implementations • 8 Feb 2024 • Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen
In this survey, we carefully review over 300 articles, focusing on KG-aware research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph (MM4KG), which extends KG studies into the MMKG realm.
no code implementations • 3 Feb 2024 • Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
We constructed an interactive knowledge map to disseminate our study results.
1 code implementation • 26 Jan 2024 • Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
As LMs grow in size, fine-tuning the full parameters of LMs requires a prohibitively large amount of GPU memory.
no code implementations • 6 Jan 2024 • Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
Compared to conventional textual retrieval, the main obstacle for text-video retrieval is the semantic gap between the textual nature of queries and the visual richness of video content.
no code implementations • 31 Dec 2023 • Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen
To address these limitations, we present a novel Multi-spatial Multi-temporal air quality forecasting method based on Graph Convolutional Networks and Gated Recurrent Units (M2G2), bridging the gap in air quality forecasting across spatial and temporal scales.
no code implementations • 28 Dec 2023 • Luo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang
Online to offline recommendation strongly correlates with the user and service's spatiotemporal information, therefore calling for a higher degree of model personalization.
no code implementations • 12 Dec 2023 • Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
Adversarial training is often formulated as a min-max problem, however, concentrating only on the worst adversarial examples causes alternating repetitive confusion of the model, i. e., previously defended or correctly classified samples are not defensible or accurately classifiable in subsequent adversarial training.
no code implementations • 12 Dec 2023 • Qiwei Tian, Chenhao Lin, Zhengyu Zhao, Qian Li, Chao Shen
Furthermore, CA prevents the consequential model collapse, based on a novel metric, collapseness, which is incorporated into the optimization of perturbation.
1 code implementation • 16 Oct 2023 • Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
Significance: The proposed new methodology with publicly available volunteer data and code for parametersing the long-term dependency, experimentally shown to be valid sources of performance improvement, which could potentially lead to better model development and practical optimisation of the reconstruction application.
no code implementations • 15 Oct 2023 • Yulong Yang, Chenhao Lin, Xiang Ji, Qiwei Tian, Qian Li, Hongshan Yang, Zhibo Wang, Chao Shen
Instead, a one-shot adversarial augmentation prior to training is sufficient, and we name this new defense paradigm Data-centric Robust Learning (DRL).
1 code implementation • 10 Oct 2023 • Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, JianXin Li
To address these challenges, we propose a novel MMEA transformer, called MoAlign, that hierarchically introduces neighbor features, multi-modal attributes, and entity types to enhance the alignment task.
no code implementations • 7 Oct 2023 • Chenhao Lin, Fangbin Yi, Hang Wang, Qian Li, Deng Jingyi, Chao Shen
Face forgery techniques have emerged as a forefront concern, and numerous detection approaches have been proposed to address this challenge.
1 code implementation • 29 Aug 2023 • Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong
Continual learning aims to empower artificial intelligence (AI) with strong adaptability to the real world.
1 code implementation • 20 Aug 2023 • Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
Three-dimensional (3D) freehand ultrasound (US) reconstruction without using any additional external tracking device has seen recent advances with deep neural networks (DNNs).
no code implementations • 3 Aug 2023 • Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Chao Shen, Run Wang, Liming Fang
Adversarial training (AT) is widely considered the state-of-the-art technique for improving the robustness of deep neural networks (DNNs) against adversarial examples (AE).
1 code implementation • 10 Jul 2023 • Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu
In this work, we propose to integrate causal modeling with the learning process of GCN-based GCF models, leveraging causality-aware graph embeddings to capture complex causal relations in recommendations.
no code implementations • 10 Jul 2023 • Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
The counterfactual explanations help to provide rational and proximate explanations for model fairness, while the attentive action pruning narrows the search space of attributes.
1 code implementation • 8 Jul 2023 • Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez
This paper proposes BPNet, a novel end-to-end deep learning framework to learn B\'ezier primitive segmentation on 3D point clouds.
no code implementations • 20 Jun 2023 • Konrad Kollnig, Qian Li
The concentration of power in a few digital technology companies has become a subject of increasing interest in both academic and non-academic discussions.
no code implementations • 19 Jun 2023 • Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, JianXin Li
Multi-Modal Relation Extraction (MMRE) aims at identifying the relation between two entities in texts that contain visual clues.
no code implementations • 18 May 2023 • Qian Li, Li Wang
We provide an European option pricing formula written in the form of an infinite series of Black Scholes type terms under double Levy jumps model, where both the interest rate and underlying price are driven by Levy process.
no code implementations • 4 Apr 2023 • Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, JianXin Li
In this paper, we propose a novel attribute-consistent knowledge graph representation learning framework for MMEA (ACK-MMEA) to compensate the contextual gaps through incorporating consistent alignment knowledge.
1 code implementation • 26 Mar 2023 • Tri Dung Duong, Qian Li, Guandong Xu
Counterfactual fairness alleviates the discrimination between the model prediction toward an individual in the actual world (observational data) and that in counterfactual world (i. e., what if the individual belongs to other sensitive groups).
1 code implementation • 26 Mar 2023 • Tri Dung Duong, Qian Li, Guandong Xu
Counterfactual explanation is a form of interpretable machine learning that generates perturbations on a sample to achieve the desired outcome.
no code implementations • 12 Mar 2023 • Qian Li, Yunguan Fu, Qianye Yang, Zhijiang Du, Hongjian Yu, Yipeng Hu
Graph neural networks (GNNs) have been proposed for medical image segmentation, by predicting anatomical structures represented by graphs of vertices and edges.
no code implementations • 7 Mar 2023 • Chenhao Lin, Pengbin Hu, Chao Shen, Qian Li
Taking full advantage of the excellent performance of StyleGAN, style transfer-based face swapping methods have been extensively investigated recently.
no code implementations • 18 Feb 2023 • Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, JianXin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
This study provides a comprehensive review of recent research advancements, challenges, and opportunities for PFMs in text, image, graph, as well as other data modalities.
no code implementations • 16 Feb 2023 • Chengwei Qin, Qian Li, Ruochen Zhao, Shafiq Joty
Despite this, PT has been shown to rely heavily on good initialization of the prompt embeddings.
no code implementations • 10 Feb 2023 • Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu
A knowledge graph is built in three steps: knowledge acquisition, knowledge refinement, and knowledge evolution.
1 code implementation • 7 Feb 2023 • Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma
Comparing different plasticity rules under the same framework shows that Hebbian plasticity is well-suited for several memory and associative learning tasks; however, it is outperformed by gradient-based plasticity on few-shot regression tasks which require the model to infer the underlying mapping.
1 code implementation • CVPR 2023 • Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
Classical adversarial attacks for Face Recognition (FR) models typically generate discrete examples for target identity with a single state image.
no code implementations • 15 Nov 2022 • Qian Li, JianXin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
To address the above issues, we propose a Multi-Channel graph neural network utilizing Type information for Event Detection in power systems, named MC-TED, leveraging a semantic channel and a topological channel to enrich information interaction from short texts.
1 code implementation • 9 Nov 2022 • Qi Li, Ziyi Shen, Qian Li, Dean C Barratt, Thomas Dowrick, Matthew J Clarkson, Tom Vercauteren, Yipeng Hu
Little benefit was observed by adding frames more than one second away from the predicted transformation, with or without LSTM-based RNNs.
1 code implementation • 8 Nov 2022 • Qian Li, Shafiq Joty, Daling Wang, Shi Feng, Yifei Zhang
Sparsity of formal knowledge and roughness of non-ontological construction make sparsity problem particularly prominent in Open Knowledge Graphs (OpenKGs).
no code implementations • 23 Aug 2022 • Qi Guo, Yong Qi, Saiyu Qi, Di wu, Qian Li
Federated learning (FL) facilitates multiple clients to jointly train a machine learning model without sharing their private data.
1 code implementation • 17 Aug 2022 • Qingyun Sun, JianXin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
Topology-imbalance is a graph-specific imbalance problem caused by the uneven topology positions of labeled nodes, which significantly damages the performance of GNNs.
no code implementations • 10 Aug 2022 • Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Qian Li, Peter Kraft, Deeptaanshu Kumar, Çağatay Demiralp, Michael Stonebraker
We recently proposed a new cluster operating system stack, DBOS, centered on a DBMS.
no code implementations • 24 Jul 2022 • Qian Li, Franck Multon, Adnane Boukhayma
We explore a new strategy for few-shot novel view synthesis based on a neural light field representation.
1 code implementation • 14 Jul 2022 • Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
We also deploy the explanation policy to a recommendation model to enhance the recommendation.
2 code implementations • 13 Jul 2022 • Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong
Continual learning requires incremental compatibility with a sequence of tasks.
no code implementations • 1 Jul 2022 • Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
In this paper, we propose a novel method to utilize \textbf{C}ounterfactual mechanism to generate artificial hard negative samples for \textbf{G}raph \textbf{C}ontrastive learning, namely \textbf{CGC}, which has a different perspective compared to those sampling-based strategies.
no code implementations • 2 Apr 2022 • XueTao Jiang, Meiyu Jiang, YuChun Gou, Qian Li, Qingguo Zhou
In this paper, we propose an LSTM-based digital twin approach for forest modeling, using Landsat 7 remote sensing image within 20 years.
no code implementations • 23 Mar 2022 • Zhihuai Chen, Siyao Guo, Qian Li, Chengyu Lin, Xiaoming Sun
We show how to distinguish circuits with $\log k$ negations (a. k. a $k$-monotone functions) from uniformly random functions in $\exp\left(\tilde{O}\left(n^{1/3}k^{2/3}\right)\right)$ time using random samples.
no code implementations • 4 Mar 2022 • Pengbo Liu, Yang Deng, Ce Wang, Yuan Hui, Qian Li, Jun Li, Shiwei Luo, Mengke Sun, Quan Quan, Shuxin Yang, You Hao, Honghu Xiao, Chunpeng Zhao, Xinbao Wu, S. Kevin Zhou
Firstly, while it is ideal to learn such a model from a large-scale, fully-annotated dataset, it is practically hard to curate such a dataset.
no code implementations • 5 Feb 2022 • Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
Traditional recommendation models trained on observational interaction data have generated large impacts in a wide range of applications, it faces bias problems that cover users' true intent and thus deteriorate the recommendation effectiveness.
no code implementations • 21 Nov 2021 • Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, Yuan Hui, S. Kevin Zhou
While Computed Tomography (CT) reconstruction from X-ray sinograms is necessary for clinical diagnosis, iodine radiation in the imaging process induces irreversible injury, thereby driving researchers to study sparse-view CT reconstruction, that is, recovering a high-quality CT image from a sparse set of sinogram views.
1 code implementation • NeurIPS 2021 • Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
Without accessing to the old training samples, knowledge transfer from the old tasks to each new task is difficult to determine, which might be either positive or negative.
1 code implementation • 24 Sep 2021 • Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
However, most existing KGE works focus on the design of delicate triple modeling function, which mainly tells us how to measure the plausibility of observed triples, but offers limited explanation of why the methods can extrapolate to unseen data, and what are the important factors to help KGE extrapolate.
Ranked #12 on Link Prediction on FB15k-237
no code implementations • 23 Aug 2021 • Qian Li, Shu Guo, Jia Wu, JianXin Li, Jiawei Sheng, Lihong Wang, Xiaohan Dong, Hao Peng
It ignores meaningful associations among event types and argument roles, leading to relatively poor performance for less frequent types/roles.
3 code implementations • ICCV 2021 • Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding
Finally, the content feature is normalized so that they demonstrate the same local feature statistics as the calculated per-point weighted style feature statistics.
no code implementations • 5 Jul 2021 • Qian Li, JianXin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
Numerous methods, datasets, and evaluation metrics have been proposed in the literature, raising the need for a comprehensive and updated survey.
1 code implementation • Findings (ACL) 2021 • Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu
Event extraction (EE) is a crucial information extraction task that aims to extract event information in texts.
1 code implementation • 23 Jun 2021 • Qian Li, Hao Peng, JianXin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
Our approach leverages knowledge of the already extracted arguments of the same sentence to determine the role of arguments that would be difficult to decide individually.
no code implementations • CVPR 2021 • Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu
Sinkhorn divergence has become a very popular metric to compare probability distributions in optimal transport.
2 code implementations • 31 May 2021 • Yang Deng, Ce Wang, Yuan Hui, Qian Li, Jun Li, Shiwei Luo, Mengke Sun, Quan Quan, Shuxin Yang, You Hao, Pengbo Liu, Honghu Xiao, Chunpeng Zhao, Xinbao Wu, S. Kevin Zhou
Spine-related diseases have high morbidity and cause a huge burden of social cost.
no code implementations • 28 May 2021 • Tri Dung Duong, Qian Li, Guandong Xu
In our study, we advance the causal inference research by proposing a new effective framework to estimate the treatment effect on stochastic intervention.
no code implementations • 27 May 2021 • Tri Dung Duong, Qian Li, Guandong Xu
Central to these applications is the treatment effect estimation of intervention strategies.
no code implementations • 17 May 2021 • Qian Li, Xiangmeng Wang, Guandong Xu
A common practice to address MNAR is to treat missing entries from the so-called "exposure" perspective, i. e., modeling how an item is exposed (provided) to a user.
no code implementations • 15 May 2021 • Qian Li
A low complexity frequency offset estimation algorithm based on all-phase FFT for M-QAM is proposed.
1 code implementation • 3 May 2021 • Tri Dung Duong, Qian Li, Guandong Xu
Accordingly, the gradient-free methods are proposed to handle the categorical variables, which however have several major limitations: 1) causal relationships among features are typically ignored when generating the counterfactuals, possibly resulting in impractical guidelines for decision-makers; 2) the counterfactual explanation algorithm requires a great deal of effort into parameter tuning for dertermining the optimal weight for each loss functions which must be conducted repeatedly for different datasets and settings.
no code implementations • 27 Apr 2021 • Xinmeng Li, Mamoun Alazab, Qian Li, Keping Yu, Quanjun Yin
We evaluate QA2MN on PathQuestion and WorldCup2014, two representative datasets for complex multi-hop question answering.
no code implementations • 19 Apr 2021 • Liyuan Wang, Qian Li, Yi Zhong, Jun Zhu
Our solution is based on the observation that continual learning of a task sequence inevitably interferes few-shot generalization, which makes it highly nontrivial to extend few-shot learning strategies to continual learning scenarios.
no code implementations • 23 Mar 2021 • Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang
Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, due to the abundant source of digital music in the World Wide Web.
no code implementations • 9 Mar 2021 • Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou
More importantly, we show that using such a sinogram extrapolation module significantly improves the generalization capability of the model on unseen datasets (e. g., COVID-19 and LIDC datasets) when compared to existing approaches.
4 code implementations • 28 Sep 2020 • Qian Li, Nan Guo, Xiaochun Ye, Dongrui Fan, Zhimin Tang
Ours is suitable for large-scale datasets, and experimental results show that our method is 82% faster than the violent retrieval for the single-frame detection.
no code implementations • 14 Sep 2020 • Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
Our study investigates the spammer detection problem in the context of multi-relation social networks, and makes an attempt to fully exploit the sequences of heterogeneous relations for enhancing the detection accuracy.
2 code implementations • 2 Aug 2020 • Qian Li, Hao Peng, Jian-Xin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
The last decade has seen a surge of research in this area due to the unprecedented success of deep learning.
1 code implementation • 14 Jul 2020 • Qian Li, Nan Guo, Xiaochun Ye, Duo Wang, Dongrui Fan, Zhimin Tang
Therefore, based on semantic features, we propose a Top-C classification loss (i. e., TCL-C) for classification task and a category-based grouping mechanism for category-based meta-features obtained by the meta-model.
no code implementations • 13 Jul 2020 • Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang, Qian Li
Skin conditions are reported the 4th leading cause of nonfatal disease burden worldwide.
no code implementations • 27 Jun 2020 • Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang
SBA stochastically decides whether to augment at iterations controlled by the batch scheduler and in which a ''distilled'' dynamic soft label regularization is introduced by incorporating the similarity in the vicinity distribution respect to raw samples.
no code implementations • 27 Jun 2020 • Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang
Recent years have witnessed the rapid growth of machine learning in a wide range of fields such as image recognition, text classification, credit scoring prediction, recommendation system, etc.
BIG-bench Machine Learning Interpretable Machine Learning +2
no code implementations • 13 May 2020 • Forrest Sheng Bao, Youbiao He, Jie Liu, Yuanfang Chen, Qian Li, Christina R. Zhang, Lei Han, Baoli Zhu, Yaorong Ge, Shi Chen, Ming Xu, Liu Ouyang
The COVID-19 is sweeping the world with deadly consequences.
no code implementations • 7 Apr 2020 • Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, XiaoHong Wang, JingChao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony Samir
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net).
no code implementations • 20 Mar 2020 • Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, JingChao Wang, XiaoHong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir
Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data.
no code implementations • 8 Mar 2020 • Qian Li, San-Yang Liu, Xin-She Yang
Differential evolution depends more heavily on the number of iterations, a relatively small population with more iterations can lead to better results.
no code implementations • 8 Mar 2020 • Qian Li, San-Yang Liu, Xin-She Yang
Network structure and integrity can be controlled by a set of key nodes, and to find the optimal combination of nodes in a network to ensure network structure and integrity can be an NP-complete problem.
1 code implementation • 6 Mar 2020 • Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong
Continual acquisition of novel experience without interfering previously learned knowledge, i. e. continual learning, is critical for artificial neural networks, but limited by catastrophic forgetting.
no code implementations • 4 Jan 2020 • Qian Li, Nan Guo, Xiaochun Ye, Dongrui Fan, Zhimin Tang
They cannot detect objects by semantic features, adaptively.
no code implementations • WS 2019 • Qian Li, Hui Su, Cheng Niu, Daling Wang, Zekang Li, Shi Feng, Yifei Zhang
Moreover, pretraining is essential in reinforcement learning models, so we provide a high-quality annotated dataset for question reformulation by sampling a part of QuAC dataset.
no code implementations • 27 Aug 2019 • Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey Chiang, Zhihao Wu, Xiaowei Ding
The medical imaging literature has witnessed remarkable progress in high-performing segmentation models based on convolutional neural networks.
1 code implementation • IJCNLP 2019 • Weikang Wang, Jiajun Zhang, Qian Li, Cheng-qing Zong, Zhifei Li
In this paper, we focus on identity fraud detection in loan applications and propose to solve this problem with a novel interactive dialogue system which consists of two modules.
2 code implementations • ACL 2019 • Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie zhou
Document Grounded Conversations is a task to generate dialogue responses when chatting about the content of a given document.
1 code implementation • ACL 2019 • Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Cheng-qing Zong, Zhifei Li
Clarifying user needs is essential for existing task-oriented dialogue systems.
1 code implementation • 30 May 2019 • Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
This paper introduces INFaaS, a managed and model-less system for distributed inference serving, where developers simply specify the performance and accuracy requirements for their applications without needing to specify a specific model-variant for each query.
no code implementations • 1 Feb 2019 • Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhen-Yu Zhang, Yanbing Liu
Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base.
Ranked #6 on Entity Disambiguation on AIDA-CoNLL
no code implementations • COLING 2018 • Qian Li, Ziwei Li, Jin-Mao Wei, Yanhui Gu, Adam Jatowt, Zhenglu Yang
Enabling a mechanism to understand a temporal story and predict its ending is an interesting issue that has attracted considerable attention, as in case of the ROC Story Cloze Task (SCT).
no code implementations • 23 Nov 2016 • Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun
In the guaranteed delivery scenario, ad exposures (which are also called impressions in some works) to users are guaranteed by contracts signed in advance between advertisers and publishers.