Search Results for author: Qi Liu

Found 114 papers, 42 papers with code

N-Gram Nearest Neighbor Machine Translation

no code implementations30 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.

Domain Adaptation Machine Translation +2

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense

1 code implementation11 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.

Contrastive Learning Recommendation Systems

Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds

no code implementations30 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.

Transfer Learning

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF

no code implementations9 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

One Person, One Model--Learning Compound Router for Sequential Recommendation

1 code implementation5 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.

Sequential Recommendation

Searching Dense Point Correspondences via Permutation Matrix Learning

no code implementations26 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.

CU-Net: LiDAR Depth-Only Completion With Coupled U-Net

1 code implementation26 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.

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play

1 code implementation21 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.

Domain Generalization SQL-to-Text +1

Hierarchical Graph Transformer with Adaptive Node Sampling

1 code implementation8 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.

Model Inversion Attacks against Graph Neural Networks

no code implementations16 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.

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images

1 code implementation15 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.

whole slide images

Causal Machine Learning: A Survey and Open Problems

no code implementations30 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).

BIG-bench Machine Learning Fairness +1

Evaluating Self-Supervised Learning for Molecular Graph Embeddings

no code implementations16 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.

Management Self-Supervised Learning

Retrieval-enhanced Graph Neural Networks for Graph Property Prediction

no code implementations1 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.

Graph Property Prediction Graph Representation Learning +1

Context-Aware Video Reconstruction for Rolling Shutter Cameras

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.

Motion Compensation Video Reconstruction

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification

no code implementations18 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).

Classification Graph Attention +3

A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles

1 code implementation22 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.

energy management Management +3

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation

no code implementations21 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.

Low-Rank and Row-Sparse Decomposition for Joint DOA Estimation and Distorted Sensor Detection

no code implementations2 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.

Relational Memory Augmented Language Models

no code implementations24 Jan 2022 Qi Liu, Dani Yogatama, Phil Blunsom

We present a memory-augmented approach to condition an autoregressive language model on a knowledge graph.

Language Modelling Text Generation

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

1 code implementation30 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.

motion prediction

ProtGNN: Towards Self-Explaining Graph Neural Networks

no code implementations2 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.

Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation

1 code implementation2 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.

Knowledge Distillation Natural Language Understanding +1

Contrastive Cross-domain Recommendation in Matching

1 code implementation2 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.

Contrastive Learning Representation Learning +1

Nonlinear Tensor Ring Network

no code implementations12 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.

Image Classification

Perceptual Quality Assessment of Colored 3D Point Clouds

1 code implementation10 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.

Point Cloud Quality Assessment

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

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.

Molecular Property Prediction Self-Supervised Learning

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis

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.

Image Generation Sentence Embedding +1

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

no code implementations18 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.

Recommendation Systems

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching

no code implementations6 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.

Language Modelling Natural Language Inference +1

Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook

no code implementations2 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.

Autonomous Vehicles Decision Making

GraphMI: Extracting Private Graph Data from Graph Neural Networks

1 code implementation5 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.

Hybrid attention network based on progressive embedding scale-context for crowd counting

no code implementations4 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.

Crowd Counting

Causal Effect Inference for Structured Treatments

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).

Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective

no code implementations27 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.

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction

no code implementations17 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.

A Survey of Knowledge Tracing

1 code implementation6 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.

Knowledge Tracing

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

1 code implementation22 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.

Click-Through Rate Prediction Feature Engineering +1

Pretraining the Noisy Channel Model for Task-Oriented Dialogue

no code implementations18 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.

End-To-End Dialogue Modelling

PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features

2 code implementations24 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.

3D Feature Matching Data Augmentation

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application

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.

Knowledge Distillation Language Modelling +2

Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network

no code implementations7 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.

Graph Attention Recommendation Systems

Scenario Generation for Cooling, Heating, and Power Loads Using Generative Moment Matching Networks

no code implementations5 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.

Learning the Implicit Semantic Representation on Graph-Structured Data

1 code implementation16 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.

Representation Learning

Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing

no code implementations15 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.

Active Learning

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

no code implementations13 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.

Click-Through Rate Prediction

Early systems change necessary for catalyzing long-term sustainability in a post-2030 agenda

no code implementations8 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.

Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression

no code implementations25 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.

Quantization

An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction

no code implementations25 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.

Sampling-Decomposable Generative Adversarial Recommender

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.

End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining

1 code implementation27 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.

License Plate Detection License Plate Recognition

An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models

no code implementations14 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.

Quantization

Unsupervised Point Cloud Pre-Training via Occlusion Completion

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.

3D Point Cloud Linear Classification Point Cloud Classification +4

Pre-Training by Completing Point Clouds

no code implementations28 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.

Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression

no code implementations8 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.

regression

An Investigation on Deep Learning with Beta Stabilizer

no code implementations31 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.

Handwriting Recognition speech-recognition +1

Future Vector Enhanced LSTM Language Model for LVCSR

no code implementations31 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.

Language Modelling speech-recognition +1

A Study on Effects of Implicit and Explicit Language Model Information for DBLSTM-CTC Based Handwriting Recognition

no code implementations31 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.

Handwriting Recognition Language Modelling

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

1 code implementation7 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.

Active Learning Molecular Property Prediction

A Survey on Sensor Technologies for Unmanned Ground Vehicles

no code implementations4 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.

HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing

no code implementations13 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.

Knowledge Tracing

Learning the Compositional Visual Coherence for Complementary Recommendations

no code implementations8 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.

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition

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.

Classification Dialogue State Tracking +3

A Survey on Contextual Embeddings

no code implementations16 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.

Model Compression

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

1 code implementation19 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.

Representation Learning

Domain Adaption for Knowledge Tracing

no code implementations14 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.

Domain Adaptation Knowledge Tracing

Deep Technology Tracing for High-tech Companies

no code implementations2 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.

Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

no code implementations27 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.

Continuous Control Decision Making +3

A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression

no code implementations20 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.

Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model

no code implementations14 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.

Hyperbolic Graph Neural Networks

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.

BIG-bench Machine Learning Representation Learning

Long-term Joint Scheduling for Urban Traffic

1 code implementation27 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.

Scheduling

Neural Cognitive Diagnosis for Intelligent Education Systems

1 code implementation23 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.

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

2 code implementations25 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.

Graph Regression Molecular Property Prediction

EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction

1 code implementation7 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.

Knowledge Tracing

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View

no code implementations3 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.

Word Embeddings Word Similarity

Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems

no code implementations1 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.

Answer Selection Community Question Answering

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach

no code implementations30 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)

Recommendation Systems

Enhancing Item Response Theory for Cognitive Diagnosis

1 code implementation27 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.

Transcribing Content from Structural Images with Spotlight Mechanism

no code implementations27 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.

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

no code implementations27 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.

Multi-Task Learning Representation Learning

QuesNet: A Unified Representation for Heterogeneous Test Questions

no code implementations27 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.

Language Modelling

Exploiting Cognitive Structure for Adaptive Learning

no code implementations23 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.

Quaternion Knowledge Graph Embeddings

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.

Knowledge Graph Embedding Knowledge Graph Embeddings +1

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

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.

Image Compression Image Segmentation +2

Insertion-based Decoding with automatically Inferred Generation Order

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.

Code Generation Machine Translation +1

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution

1 code implementation23 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.

3D Feature Matching Data Augmentation

Skeptical Deep Learning with Distribution Correction

no code implementations9 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.

Classification General Classification

Random Occlusion-recovery for Person Re-identification

no code implementations26 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.

Person Re-Identification

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

no code implementations3 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.

Session-Based Recommendations

Mining Evidences for Concept Stock Recommendation

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.

Information Retrieval reinforcement-learning +2

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

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.

Classification General Classification +2

On Modular Training of Neural Acoustics-to-Word Model for LVCSR

no code implementations3 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.

Automatic Speech Recognition Language Modelling +1

Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks

no code implementations14 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.

Adversarial Attack

Divide and Recombine for Large and Complex Data: Model Likelihood Functions using MCMC

no code implementations15 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.

regression

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

1 code implementation3 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.

Link Prediction Network Embedding +1

Applying High-Resolution Visible Imagery to Satellite Melt Pond Fraction Retrieval: A Neural Network Approach

no code implementations13 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.

Retrieval

An Adaptive Amoeba Algorithm for Shortest Path Tree Computation in Dynamic Graphs

no code implementations3 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.

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