IJCAI 2019

964 papers

Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation

Di Wang, Jinhui Xu

Two-Stage Generative Models of Simulating Training Data at The Voxel Level for Large-Scale Microscopy Bioimage Segmentation

Deli Wang, Ting Zhao, Nenggan Zheng, Zhefeng Gong

A Privacy Preserving Collusion Secure DCOP Algorithm

Tamir Tassa, Tal Grinshpoun, Avishai Yanay

Equally-Guided Discriminative Hashing for Cross-modal Retrieval

Yufeng Shi, Xinge You, Feng Zheng, Shuo Wang, Qinmu Peng

Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization

Sofia Reis, Rui Abreu, Marcelo d'Amorim

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness

NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou

Decidability of Model Checking Multi-Agent Systems with Regular Expressions against Epistemic HS Specifications

Jakub Michaliszyn, Piotr Witkowski

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs

Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei

Data Poisoning against Differentially-Private Learners: Attacks and Defenses

Yuzhe Ma, Xiaojin Zhu, Justin Hsu

Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks

Tianlong Liu, Yu Qi, Liang Shi, Jianan Yan

Dilated Convolution with Dilated GRU for Music Source Separation

Jen-Yu Liu, Yi-Hsuan Yang

Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space

Linyi Li, Zexuan Zhong, Bo Li, Tao Xie

Multiple Policy Value Monte Carlo Tree Search

Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu

Musical Composition Style Transfer via Disentangled Timbre Representations

Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang

Model-Agnostic Adversarial Detection by Random Perturbations

Bo Huang, Yi Wang, Wei Wang

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach

Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng

Real-Time Adversarial Attacks

Yuan Gong, Boyang Li, Christian Poellabauer, Yiyu Shi

VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities

Xu Duan, Jingzheng Wu, Shouling Ji, Zhiqing Rui, Tianyue Luo

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks

Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar

Procedural Generation of Initial States of Sokoban

Dâmaris S. Bento, André G. Pereira, Levi H. S. Lelis

Predicting dominance in multi-person videos

Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee Burgoon

Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation

Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang

Dual-Path in Dual-Path Network for Single Image Dehazing

Aiping Yang, Haixin Wang, Zhong Ji, Yanwei Pang, Ling Shao

Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation

Yanan Xu, Yanmin Zhu, Yanyan Shen, Jiadi Yu

Medical Concept Embedding with Multiple Ontological Representations

Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung

Node Embedding over Temporal Graphs

Uriel Singer, Ido Guy, Kira Radinsky

Scaling Fine-grained Modularity Clustering for Massive Graphs

Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa

Randomized Adversarial Imitation Learning for Autonomous Driving

MyungJae Shin, Joongheon Kim

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent

Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng

FireCast: Leveraging Deep Learning to Predict Wildfire Spread

David Radke, Anna Hessler, Dan Ellsworth

Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks

Wei Qiu, Haipeng Chen, Bo An

Representation Learning-Assisted Click-Through Rate Prediction

Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Chao Qi, Zhaojie Liu

Pseudo Supervised Matrix Factorization in Discriminative Subspace

Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao

Zhongzhou Liu, Wenbin Hu

Playing Card-Based RTS Games with Deep Reinforcement Learning

Tianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song

Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints

Joachim Giesen, Soeren Laue

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction

Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang

A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization

Zhihuai Chen, Yinan Li, Xiaoming Sun, Pei Yuan, Jialin Zhang

Predicting the Visual Focus of Attention in Multi-Person Discussion Videos

Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam Metzger, Jay F. Nunamaker

Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains

Matthieu Zimmer, Paul Weng

Persistence Bag-of-Words for Topological Data Analysis

Bartosz Zieliński, Michał Lipiński, Mateusz Juda, Matthias Zeppelzauer, Paweł Dłotko

Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data

Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi

Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information

Xiaofeng Zhu

HDI-Forest: Highest Density Interval Regression Forest

Lin Zhu, Jiaxing Lu, Yihong Chen

One-Shot Texture Retrieval with Global Context Metric

Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems

Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie

Reinforcement Learning Experience Reuse with Policy Residual Representation

WenJi Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv

Latent Distribution Preserving Deep Subspace Clustering

Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou

BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series

Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye

Metadata-driven Task Relation Discovery for Multi-task Learning

Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang

AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN

Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao

Large Scale Evolving Graphs with Burst Detection

Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang

GAN-EM: GAN Based EM Learning Framework

Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu

Multi-Prototype Networks for Unconstrained Set-based Face Recognition

Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin

Localizing Unseen Activities in Video via Image Query

Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai

Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks

Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning

Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu

ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling

yuan zhang, Xi Yang, Julie Ivy, Min Chi

DANE: Domain Adaptive Network Embedding

Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin

Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure

Yipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou

Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes

Yikai Zhang, Hui Qu, Chao Chen, Dimitris Metaxas

Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction

Yawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert Dick

InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction

Xiaowang Zhang, Qiang Gao, Zhiyong Feng

Attributed Graph Clustering via Adaptive Graph Convolution

Xiaotong Zhang, Han Liu, Qimai LI, Xiao-ming Wu

Feature-level Deeper Self-Attention Network for Sequential Recommendation

Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu

Quaternion Collaborative Filtering for Recommendation

SHUAI ZHANG, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay

Inferring Substitutable Products with Deep Network Embedding

Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen

Efficient Non-parametric Bayesian Hawkes Processes

Rui Zhang, Christian Walder, Marian-Andrei Rizoiu, Lexing Xie

High Dimensional Bayesian Optimization via Supervised Dimension Reduction

Miao Zhang, Huiqi Li, Steven Su

Towards Robust ResNet: A Small Step but a Giant Leap

Jingfeng ZHANG, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan Kankanhalli

ProNE: Fast and Scalable Network Representation Learning

Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation

Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Jiani Zhang, Xingjian SHI, Shenglin Zhao, Irwin King

Generalized Majorization-Minimization for Non-Convex Optimization

Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng

Positive and Unlabeled Learning with Label Disambiguation

Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong

Experience Replay Optimization

Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu

KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network

Linghua Zeng, Zhangcheng Wang, Xinmei Tian

DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

Feng Yuan, Lina Yao, Boualem Benatallah

Progressive Transfer Learning for Person Re-identification

Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation

Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie

VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders

Xianwen Yu, Xiaoning Zhang, Yang Cao, Min Xia

Interpreting and Evaluating Neural Network Robustness

Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang

Semi-supervised Three-dimensional Reconstruction Framework with GAN

Chong Yu

Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control

Kenny Young, Baoxiang Wang, Matthew E. Taylor

Belief Propagation Network for Hard Inductive Semi-Supervised Learning

Jaemin Yoo, Hyunsik Jeon, U Kang

Geometric Understanding for Unsupervised Subspace Learning

Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng

BN-invariant Sharpness Regularizes the Training Model to Better Generalization

Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-ming Ma, Tie-yan Liu

Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction

Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo

Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection

Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan

Distributed Collaborative Feature Selection Based on Intermediate Representation

Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai

A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment

Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang

Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers

Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song

Multi-View Multiple Clustering

Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction

Quanming Yao, Xiawei Guo, James Kwok, Weiwei Tu, Yuqiang Chen

On the Estimation of Treatment Effect with Text Covariates

Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao

SPAGAN: Shortest Path Graph Attention Network

Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao

Comprehensive Semi-Supervised Multi-Modal Learning

Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang

Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network

Wenmian Yang, Weijia Jia, Xiaojie Zhou, Yutao Luo

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets

Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He

Masked Graph Convolutional Network

Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo