no code implementations • 30 Jan 2023 • Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Qi Liu, Tao Qin
Nearest neighbor machine translation augments the Autoregressive Translation~(AT) with $k$-nearest-neighbor retrieval, by comparing the similarity between the token-level context representations of the target tokens in the query and the datastore.
1 code implementation • 11 Dec 2022 • Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
Experiments on two public datasets show that ClusterAttack can effectively degrade the performance of FedRec systems while circumventing many defense methods, and UNION can improve the resistance of the system against various untargeted attacks, including our ClusterAttack.
no code implementations • 30 Nov 2022 • Qi Liu, Yiyun Liu, Honglei Su, Hui Yuan, Raouf Hamzaoui
In this paper, a progressive knowledge transfer based on human visual perception mechanism for perceptual quality assessment of point clouds (PKT-PCQA) is proposed.
no code implementations • 9 Nov 2022 • Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen
Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research.
Medical Named Entity Recognition
named-entity-recognition
+2
1 code implementation • 5 Nov 2022 • Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
The core idea of CANet is to route the input user behaviors with a light-weighted router module.
no code implementations • 26 Oct 2022 • Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Bin Fan, Qi Liu
In response, this paper presents a novel end-to-end learning-based method to estimate the dense correspondence of 3D point clouds, in which the problem of point matching is formulated as a zero-one assignment problem to achieve a permutation matching matrix to implement the one-to-one principle fundamentally.
1 code implementation • 26 Oct 2022 • YuFei Wang, Yuchao Dai, Qi Liu, Peng Yang, Jiadai Sun, Bo Li
We find that existing depth-only methods can obtain satisfactory results in the areas where the measurement points are almost accurate and evenly distributed (denoted as normal areas), while the performance is limited in the areas where the foreground and background points are overlapped due to occlusion (denoted as overlap areas) and the areas where there are no measurement points around (denoted as blank areas) since the methods have no reliable input information in these areas.
1 code implementation • 21 Oct 2022 • Qi Liu, Zihuiwen Ye, Tao Yu, Phil Blunsom, Linfeng Song
We first design a SQL-to-text model conditioned on a sampled goal query, which represents a user's intent, that then converses with a text-to-SQL semantic parser to generate new interactions.
1 code implementation • 8 Oct 2022 • Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
The Transformer architecture has achieved remarkable success in a number of domains including natural language processing and computer vision.
no code implementations • 16 Sep 2022 • Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
One famous privacy attack against data analysis models is the model inversion attack, which aims to infer sensitive data in the training dataset and leads to great privacy concerns.
1 code implementation • 15 Aug 2022 • Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
Multi-instance learning (MIL) is widely used in the computer-aided interpretation of pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise annotations.
no code implementations • 30 Jun 2022 • Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva
Causal Machine Learning (CausalML) is an umbrella term for machine learning methods that formalize the data-generation process as a structural causal model (SCM).
no code implementations • 16 Jun 2022 • Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt Kusner, Joan Lasenby, Qi Liu
Graph Self-Supervised Learning (GSSL) paves the way for learning graph embeddings without expert annotation, which is particularly impactful for molecular graphs since the number of possible molecules is enormous and labels are expensive to obtain.
no code implementations • 1 Jun 2022 • Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Song Le, Qi Liu
In GraphRetrieval, similar training graphs associated with their ground-truth labels are retrieved as an enhancement to be jointly utilized with the input graph representation to complete various graph property predictive tasks.
1 code implementation • CVPR 2022 • Bin Fan, Yuchao Dai, Zhiyuan Zhang, Qi Liu, Mingyi He
Then, a refinement scheme is proposed to guide the GS frame synthesis along with bilateral occlusion masks to produce high-fidelity GS video frames at arbitrary times.
no code implementations • 18 May 2022 • Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
Existing studies in this task attach more attention to the sequence modeling of sentences while largely ignoring the rich domain-invariant semantics embedded in graph structures (i. e., the part-of-speech tags and dependency relations).
no code implementations • Findings (ACL) 2022 • Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen
Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towards a specific aspect in the given sentence.
no code implementations • 28 Feb 2022 • Qi Liu, Bo Yang, Zhaojian Wang, Dafeng Zhu, Xinyi Wang, Kai Ma, Xinping Guan
Therefore, federated learning can be exploited to train a collaborative fault diagnosis model.
1 code implementation • 22 Feb 2022 • Jingyi Xu, Zirui Li, Li Gao, Junyi Ma, Qi Liu, Yanan Zhao
Different exploration methods of DRL, including adding action space noise and parameter space noise, are compared against each other in the transfer learning process in this work.
no code implementations • 21 Feb 2022 • Jinjiang Guo, Qi Liu, Han Guo, Xi Lu
Robust and efficient interpretation of QSAR methods is quite useful to validate AI prediction rationales with subjective opinion (chemist or biologist expertise), understand sophisticated chemical or biological process mechanisms, and provide heuristic ideas for structure optimization in pharmaceutical industry.
no code implementations • 2 Feb 2022 • Huiping Huang, Qi Liu, Hing Cheung So, Abdelhak M. Zoubir
Distorted sensors could occur randomly and may lead to the breakdown of a sensor array system.
1 code implementation • 30 Jan 2022 • Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan
Several GRL approaches are summarized and implemented in the proposed framework.
no code implementations • 24 Jan 2022 • Qi Liu, Dani Yogatama, Phil Blunsom
We present a memory-augmented approach to condition an autoregressive language model on a knowledge graph.
1 code implementation • 15 Jan 2022 • Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
Recommendation system has been a widely studied task both in academia and industry.
1 code implementation • 30 Dec 2021 • Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng
One aspect that has been obviated so far, is the fact that how we represent the skeletal pose has a critical impact on the prediction results.
no code implementations • 2 Dec 2021 • Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
In this work, we propose Prototype Graph Neural Network (ProtGNN), which combines prototype learning with GNNs and provides a new perspective on the explanations of GNNs.
1 code implementation • 2 Dec 2021 • Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu
We further propose a two-stage knowledge distillation method to improve the efficiency of the large PLM-based news recommendation model while maintaining its performance.
1 code implementation • 2 Dec 2021 • Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
Cross-domain recommendation (CDR) aims to provide better recommendation results in the target domain with the help of the source domain, which is widely used and explored in real-world systems.
no code implementations • 12 Nov 2021 • Xiao Peng Li, Qi Liu, Hing Cheung So
Experimental results demonstrate the effectiveness and superiority of the proposed NTRN for image classification using two basic neural networks, LeNet-5 and VGG-11 on three datasets, viz.
1 code implementation • 10 Nov 2021 • Honglei Su, Qi Liu, Zhengfang Duanmu, Wentao Liu, Zhou Wang
In this work, we first build a large 3D point cloud database for subjective and objective quality assessment of point clouds.
1 code implementation • NeurIPS 2021 • Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
To bridge this gap, we propose Motif-based Graph Self-supervised Learning (MGSSL) by introducing a novel self-supervised motif generation framework for GNNs.
1 code implementation • ICCV 2021 • Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen
Text-to-image synthesis refers to generating an image from a given text description, the key goal of which lies in photo realism and semantic consistency.
no code implementations • 18 Aug 2021 • Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
Specifically, we first encode user/item reviews via BERT and propose a light-weighted sentiment learner to extract semantic features of each review.
no code implementations • 6 Aug 2021 • Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
In order to overcome this problem and boost the performance of attention mechanism, we propose a novel dynamic re-read attention, which can pay close attention to one small region of sentences at each step and re-read the important parts for better sentence representations.
no code implementations • 27 Jul 2021 • Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro
In this paper, we present a range of methods and an open framework to benchmark acoustic and visual perception for the estimation of the capacity of a container, and the type, mass, and amount of its content.
no code implementations • 2 Jul 2021 • Qi Liu, Xueyuan Li, Shihua Yuan, Zirui Li
Autonomous vehicles have a great potential in the application of both civil and military fields, and have become the focus of research with the rapid development of science and economy.
1 code implementation • 7 Jun 2021 • Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, JinFeng Yi
Hence, the key is to make full use of rich interaction information among streamers, users, and products.
1 code implementation • 5 Jun 2021 • Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
Then we design a graph auto-encoder module to efficiently exploit graph topology, node attributes, and target model parameters for edge inference.
no code implementations • 4 Jun 2021 • Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang
In this paper, we propose a Hybrid Attention Network (HAN) by employing Progressive Embedding Scale-context (PES) information, which enables the network to simultaneously suppress noise and adapt head scale variation.
2 code implementations • NeurIPS 2021 • Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J. Kusner, Ricardo Silva
We address the estimation of conditional average treatment effects (CATEs) for structured treatments (e. g., graphs, images, texts).
1 code implementation • NAACL 2021 • Qi Liu, Matt Kusner, Phil Blunsom
We propose a data augmentation method for neural machine translation.
no code implementations • 27 May 2021 • Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
Usually, this prediction is always with great challenges to making a comprehensive understanding of both the start-up project and market environment.
no code implementations • 17 May 2021 • Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Qi Liu, Zhongqi Zhang, Yu Ding, Shuheng Zhang, Terrence Chen, Jian Xu, Shanhui Sun
To the best of our knowledge, this is the first work to evaluate the cine MRI with deep learning reconstruction for cardiac function analysis and compare it with other conventional methods.
1 code implementation • 6 May 2021 • Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng
The recent COVID-19 epidemic has triggered the outbreak of online education, which has enabled both students and teachers to learn and teach at home.
1 code implementation • 22 Apr 2021 • Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
Motivated by this, we propose a novel Extreme Cross Network, abbreviated XCrossNet, which aims at learning dense and sparse feature interactions in an explicit manner.
no code implementations • 18 Mar 2021 • Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom
Direct decoding for task-oriented dialogue is known to suffer from the explaining-away effect, manifested in models that prefer short and generic responses.
Ranked #2 on
End-To-End Dialogue Modelling
on MULTIWOZ 2.0
2 code implementations • 24 Feb 2021 • Yang You, Yujing Lou, Ruoxi Shi, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Weiming Wang, Cewu Lu
Spherical Voxel Convolution and Point Re-sampling are proposed to extract rotation invariant features for each point.
no code implementations • Findings (EMNLP) 2021 • Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
However, existing language models are pre-trained and distilled on general corpus like Wikipedia, which has some gaps with the news domain and may be suboptimal for news intelligence.
1 code implementation • 8 Feb 2021 • Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang
Creative plays a great important role in e-commerce for exhibiting products.
no code implementations • 7 Feb 2021 • Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
In this paper, we propose a novel Heterogeneous graph neural network framework for diversified recommendation (GraphDR) in matching to improve both recommendation accuracy and diversity.
no code implementations • 5 Feb 2021 • Wenlong Liao, Yusen Wang, Yuelong Wang, Kody Powell, Qi Liu, Zhe Yang
Scenario generations of cooling, heating, and power loads are of great significance for the economic operation and stability analysis of integrated energy systems.
1 code implementation • 16 Jan 2021 • Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
Existing representation learning methods in graph convolutional networks are mainly designed by describing the neighborhood of each node as a perceptual whole, while the implicit semantic associations behind highly complex interactions of graphs are largely unexploited.
no code implementations • 15 Jan 2021 • Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
In this paper, we study a novel model-agnostic CAT problem, where we aim to propose a flexible framework that can adapt to different cognitive models.
no code implementations • 13 Dec 2020 • Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen
In the Click-Through Rate (CTR) prediction scenario, user's sequential behaviors are well utilized to capture the user interest in the recent literature.
no code implementations • 8 Dec 2020 • Enayat A. Moallemi, Sibel Eker, Lei Gao, Michalis Hadjikakou, Qi Liu, Jan Kwakkel, Patrick M. Reed, Michael Obersteiner, Zhaoxia Guo, Brett A. Bryan
Progress to-date towards the Sustainable Development Goals (SDGs) has fallen short of expectations and is unlikely to fully meet 2030 targets.
no code implementations • 25 Nov 2020 • Qi Liu, Hui Yuan, Raouf Hamzaoui, Honglei Su, Junhui Hou, Huan Yang
In rate-distortion optimization, the encoder settings are determined by maximizing a reconstruction quality measure subject to a constraint on the bit rate.
no code implementations • 25 Nov 2020 • Tengteng Wen, Zhuofeng Mo, Jingshan Li, Qi Liu, Liming Wu, Dehan Luo
In this paper, we proposed an odor labeling convolutional encoder-decoder (OLCE) for odor identification in machine olfaction.
no code implementations • NeurIPS 2020 • Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
The GAN-style recommenders (i. e., IRGAN) addresses the challenge by learning a generator and a discriminator adversarially, such that the generator produces increasingly difficult samples for the discriminator to accelerate optimizing the discrimination objective.
1 code implementation • 27 Oct 2020 • Song-Lu Chen, Shu Tian, Jia-Wei Ma, Qi Liu, Chun Yang, Feng Chen, Xu-Cheng Yin
Second, we propose to predict the quadrilateral bounding box in the local region by regressing the four corners of the license plate to robustly detect oblique license plates.
no code implementations • 14 Oct 2020 • Zihan Zhao, Yuncong Liu, Lu Chen, Qi Liu, Rao Ma, Kai Yu
Recently, pre-trained language models like BERT have shown promising performance on multiple natural language processing tasks.
1 code implementation • ICCV 2021 • Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner
We find that even when we construct a single pre-training dataset (from ModelNet40), this pre-training method improves accuracy across different datasets and encoders, on a wide range of downstream tasks.
Ranked #4 on
Point Cloud Segmentation
on PointCloud-C
3D Point Cloud Linear Classification
Point Cloud Classification
+4
no code implementations • 28 Sep 2020 • Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt Kusner
There has recently been a flurry of exciting advances in deep learning models on point clouds.
no code implementations • 8 Sep 2020 • Jianji Wang, Qi Liu, Shupei Zhang, Nanning Zheng, Fei-Yue Wang
By the proposed method, the computational complexity is reduced from $O(\frac{1}{6}{k^3}+mk^2+mkd)$ to $O(\frac{1}{6}{k^3}+\frac{1}{2}mk^2)$ for each candidate subset in sparse regression.
no code implementations • 31 Jul 2020 • Qi Liu, Tian Tan, Kai Yu
It is concluded that beta stabilizer parameters can reduce the sensitivity of learning rate with almost the same performance on DNN with relu activation function and LSTM.
no code implementations • 31 Jul 2020 • Qi Liu, Yanmin Qian, Kai Yu
For the speech recognition rescoring, although the proposed LSTM LM obtains very slight gains, the new model seems obtain the great complementary with the conventional LSTM LM.
no code implementations • 31 Jul 2020 • Qi Liu, Lijuan Wang, Qiang Huo
Deep Bidirectional Long Short-Term Memory (D-BLSTM) with a Connectionist Temporal Classification (CTC) output layer has been established as one of the state-of-the-art solutions for handwriting recognition.
1 code implementation • 7 Jul 2020 • Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee
Here we propose a novel framework called Active Semi-supervised Graph Neural Network (ASGN) by incorporating both labeled and unlabeled molecules.
no code implementations • 4 Jul 2020 • Qi Liu, Shihua Yuan, Zirui Li
Unmanned ground vehicles have a huge development potential in both civilian and military fields, and have become the focus of research in various countries.
no code implementations • 13 Jun 2020 • Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu
To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises.
no code implementations • 8 Jun 2020 • Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei
Towards this end, in this paper, we propose a novel Content Attentive Neural Network (CANN) to model the comprehensive compositional coherence on both global contents and semantic contents.
no code implementations • 26 Apr 2020 • Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German I. Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, ShiLiang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top $8$ finalists (out of over~$150$ teams).
no code implementations • NAACL 2021 • Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong
We present a fast and scalable architecture called Explicit Modular Decomposition (EMD), in which we incorporate both classification-based and extraction-based methods and design four modules (for classification and sequence labelling) to jointly extract dialogue states.
no code implementations • 19 Apr 2020 • Yong Wang, Qi Liu, Hongyu Zu, Xiao Liu, Ruichao Xie, Feng Wang
Pixel-wise operations between polarimetric images are important for processing polarization information.
no code implementations • 16 Mar 2020 • Qi Liu, Matt J. Kusner, Phil Blunsom
Contextual embeddings, such as ELMo and BERT, move beyond global word representations like Word2Vec and achieve ground-breaking performance on a wide range of natural language processing tasks.
2 code implementations • CVPR 2020 • Chengying Gao, Qi Liu, Qi Xu, Li-Min Wang, Jianzhuang Liu, Changqing Zou
We introduce the first method for automatic image generation from scene-level freehand sketches.
Ranked #2 on
Sketch-to-Image Translation
on SketchyCOCO
1 code implementation • 19 Feb 2020 • Wen Wang, Wei zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Specifically, we build a Multi-Relational Item Graph (MRIG) based on all behavior sequences from all sessions, involving target and auxiliary behavior types.
no code implementations • 14 Jan 2020 • Song Cheng, Qi Liu, Enhong Chen
We refer to this problem as domain adaptation for knowledge tracing (DAKT) which contains two aspects: (1) how to achieve great knowledge tracing performance in each domain.
no code implementations • 2 Jan 2020 • Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
Technological change and innovation are vitally important, especially for high-tech companies.
no code implementations • 27 Dec 2019 • Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao
However, few of them take into account the inherent decision-making process between investors and crowdfunding dynamics.
no code implementations • 20 Dec 2019 • Hao Liu, Hui Yuan, Qi Liu, Junhui Hou, Ju Liu
Point cloud based 3D visual representation is becoming popular due to its ability to exhibit the real world in a more comprehensive and immersive way.
no code implementations • 14 Dec 2019 • Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen
In the crowdfunding market, the early fundraising performance of the project is a concerned issue for both creators and platforms.
1 code implementation • NeurIPS 2019 • Qi Liu, Maximilian Nickel, Douwe Kiela
Learning from graph-structured data is an important task in machine learning and artificial intelligence, for which Graph Neural Networks (GNNs) have shown great promise.
1 code implementation • 27 Oct 2019 • Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen
Recently, the traffic congestion in modern cities has become a growing worry for the residents.
1 code implementation • 23 Aug 2019 • Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts.
no code implementations • 15 Aug 2019 • Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang
The pre-trained network is then fine-tuned using human-annotated disfluency detection training data.
2 code implementations • 25 Jun 2019 • Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
In this paper, we propose a generalizable and transferable Multilevel Graph Convolutional neural Network (MGCN) for molecular property prediction.
Ranked #6 on
Graph Regression
on Lipophilicity
1 code implementation • 7 Jun 2019 • Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu
In EERNN, we simply summarize each student's state into an integrated vector and trace it with a recurrent neural network, where we design a bidirectional LSTM to learn the encoding of each exercise's content.
no code implementations • 3 Jun 2019 • Hanqing Tao, Shiwei Tong, Tong Xu, Qi Liu, Enhong Chen
Recent studies have consistently given positive hints that morphology is helpful in enriching word embeddings.
no code implementations • 1 Jun 2019 • Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, HengShu Zhu, Shui Yu
Existing solutions mainly exploit the syntactic or semantic correlation between a question and its related answers (Q&A), where the multi-facet domain effects in CQA are still underexplored.
no code implementations • 30 May 2019 • Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
When making cloth decisions, people usually show preferences for different semantic attributes (e. g., the clothes with v-neck collar).
Ranked #2 on
Recommendation Systems
on Amazon Fashion
(using extra training data)
1 code implementation • 27 May 2019 • Song Cheng, Qi Liu
However, traditional IRT ignores the rich information in question texts, cannot diagnose knowledge concept proficiency, and it is inaccurate to diagnose the parameters for the questions which only appear several times.
no code implementations • 27 May 2019 • Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu
Then, we decide "what-to-write" by developing a GRU based network with the spotlight areas for transcribing the content accordingly.
no code implementations • 27 May 2019 • Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su
Recently, the Network Representation Learning (NRL) techniques, which represent graph structure via low-dimension vectors to support social-oriented application, have attracted wide attention.
no code implementations • 27 May 2019 • Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su
Then we propose a two-level hierarchical pre-training algorithm to learn better understanding of test questions in an unsupervised way.
no code implementations • 23 May 2019 • Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
Although it is well known that modeling the cognitive structure including knowledge level of learners and knowledge structure (e. g., the prerequisite relations) of learning items is important for learning path recommendation, existing methods for adaptive learning often separately focus on either knowledge levels of learners or knowledge structure of learning items.
1 code implementation • NeurIPS 2019 • Shuai Zhang, Yi Tay, Lina Yao, Qi Liu
In this work, we move beyond the traditional complex-valued representations, introducing more expressive hypercomplex representations to model entities and relations for knowledge graph embeddings.
Ranked #4 on
Link Prediction
on FB15k
no code implementations • CVPR 2019 • Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
In this paper we will use deep learning based medical image segmentation as a vehicle and demonstrate that interestingly, machine and human view the compression quality differently.
no code implementations • TACL 2019 • Jiatao Gu, Qi Liu, Kyunghyun Cho
Conventional neural autoregressive decoding commonly assumes a fixed left-to-right generation order, which may be sub-optimal.
1 code implementation • 23 Nov 2018 • Yang You, Yujing Lou, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Cewu Lu, Weiming Wang
Point cloud analysis without pose priors is very challenging in real applications, as the orientations of point clouds are often unknown.
no code implementations • 9 Nov 2018 • Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma
Recently deep neural networks have been successfully used for various classification tasks, especially for problems with massive perfectly labeled training data.
no code implementations • 26 Sep 2018 • Di Wu, Kun Zhang, Fei Cheng, Yang Zhao, Qi Liu, Chang-An Yuan, De-Shuang Huang
As a basic task of multi-camera surveillance system, person re-identification aims to re-identify a query pedestrian observed from non-overlapping multiple cameras or across different time with a single camera.
no code implementations • 3 Aug 2018 • Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen
In this paper, we propose a novel Behavior-Intensive Neural Network (BINN) for next-item recommendation by incorporating both users' historical stable preferences and present consumption motivations.
no code implementations • NAACL 2018 • Qi Liu, Yue Zhang
We investigate the task of mining relevant stocks given a topic of concern on emerging capital markets, for which there is lack of structural understanding.
no code implementations • NAACL 2018 • Qi Liu, Yue Zhang, Jiangming Liu
It is useful to leveraging data available for all existing domains to enhance performance on different domains.
1 code implementation • NeurIPS 2018 • Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Graphs are ubiquitous data structures for representing interactions between entities.
1 code implementation • ACL 2018 • Yue Zhang, Qi Liu, Linfeng Song
Bi-directional LSTMs are a powerful tool for text representation.
Ranked #10 on
Part-Of-Speech Tagging
on Penn Treebank
2 code implementations • CVPR 2019 • Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen
Image compression-based approaches for defending against the adversarial-example attacks, which threaten the safety use of deep neural networks (DNN), have been investigated recently.
no code implementations • 3 Mar 2018 • Zhehuai Chen, Qi Liu, Hao Li, Kai Yu
Finally, modules are integrated into an acousticsto-word model (A2W) and jointly optimized using acoustic data to retain the advantage of sequence modeling.
no code implementations • 14 Feb 2018 • Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen
In this work, we for the first time investigate the multi-factor adversarial attack problem in practical model optimized deep learning systems by jointly considering the DNN model-reshaping (e. g. HashNet based deep compression) and the input perturbations.
no code implementations • 15 Jan 2018 • Qi Liu, Anindya Bhadra, William S. Cleveland
The density parameters are estimated by fitting the density to MCMC draws from each subset DM likelihood function, and then the fitted densities are recombined.
1 code implementation • 3 Dec 2017 • Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu
First, due to the lack of explicit sentiment links in mainstream social networks, we establish a labeled heterogeneous sentiment dataset which consists of users' sentiment relation, social relation and profile knowledge by entity-level sentiment extraction method.
no code implementations • 13 Apr 2017 • Qi Liu, Yawen Zhang, Qin Lv, Li Shang
It is important to retrieve accurate melt pond fraction (MPF) from satellite data for Arctic research.
no code implementations • 3 Nov 2013 • Xiaoge Zhang, Qi Liu, Yong Hu, Felix T. S. Chan, Sankaran Mahadevan, Zili Zhang, Yong Deng
When the edge weight changes, the proposed algorithm can recognize the affected vertices and reconstruct them spontaneously.