Accepted Papers

• MIXGAN: Learning Concepts from Different Domains for Mixture Generation, Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
• GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction, Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng
• Predicting Complex Activities from Ongoing Multivariate Time Series, Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri
• The FastMap Algorithm for Shortest Path Computations, Liron Cohen, Tansel Uras, Shiva Jahangiri, Aliyah Arunasalam, Sven Koenig, T. K. Satish Kumar
• Salient Object Detection by Lossless Feature Reflection, Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen
• 3D-Aided Deep Pose-Invariant Face Recognition, Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng
• Improving Entity Recommendation with Search Log and Multi-Task Learning, Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu
• Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition, Junfu Pu, Wengang Zhou, Houqiang Li
• Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification, Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin’ichi Satoh
• Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking, Mang Ye, Zheng Wang, Xiangyuan Lan, Pong C Yuen
• Teaching Semi-Supervised Classifier via Generalized Distillation, Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang
• Deep Joint Semantic-Embedding Hashing, Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao
• Deep View-Aware Metric Learning for Person Re-Identification, Pu Chen, Xinyi Xu, Cheng Deng
• Line separation from topographic maps using regional color and spatial information, Pengfei Xu, Qiguang Miao, Tiange Liu, Xiaojiang Chen, Dingyi Fang
• A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs, Yiyuan Wang, Shaowei Cai, Jiejiang Chen, Minghao Yin
• Solving (Weighted) Partial MaxSAT by Dynamic Local Search for SAT, Zhendong Lei, Shaowei Cai
• Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion, Yupei Wang, Xin Zhao, Yin Li, Xuecai Hu, Kaiqi Huang
• Semantic Structure-based Unsupervised Deep Hashing, Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao
• Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning, Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin
• DRPose3D: Depth Ranking in 3D Human Pose Estimation, Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma
• Fast Compliance Checking in an OWL2 Fragment, Piero A. Bonatti
• Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty, Mengchen Zhao, Zhao Li, BO AN, Haifeng Lu, Yifan Yang, Chen Chu
• FISH-MML: Fisher-HSIC Multi-View Metric Learning, Changqing Zhang, Yeqinq Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
• Convergence Analysis of Gradient Descent for Eigenvector Computation, Zhiqiang Xu, Xin Cao, Xin Gao
• Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning, Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li
• On Concept Forgetting in Description Logics with Qualified Number Restrictions, Yizheng Zhao, Renate Schmidt
• Differentiated Attentive Representation Learning for Sentence Classification, Qianrong Zhou, Xiaojie Wang, Xuan Dong
• UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits, Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness Shroff
• Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices, Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
• Analyzing Tie-Breaking Strategies for the A* Algorithm, Augusto Blaas Corrêa, André Grahl Pereira, Marcus Ritt
• H-Net: Neural Network for Cross-domain Image Patch Matching, Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li
• Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks, Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang
• Jumper: Learning When to Make Classification Decision in Reading, Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
• Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism, Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He
• Improving Implicit Recommender Systems with View Data, Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu
• Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling, Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
• Actual Causality in a Logical Setting, Alexander Bochman
• Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering, Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li
• Managing Communication Costs under Temporal Uncertainty, Nikhil Bhargava, Christian Muise, Tiago Vaquero, Brian Williams
• Variable-Delay Controllability, Nikhil Bhargava, Christian Muise, Brian Williams
• Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations, Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
• Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning, Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua
• Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information, Yang Wang, Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu
• PredCNN: Predictive Learning with Cascade Convolutions, Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang
• Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning, Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha
• Live Face Verification with Multiple Instantialized Local Homographic Parameterization, Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni
• Differential Equations for Modeling Asynchronous Algorithms, Li He, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
• Learning to Design Games: Strategic Environments in Reinforcement Learning, Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li
• A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning, Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Fenglin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie
• Exploiting Justifications for Lazy Grounding of Answer Set Programs, Bart Bogaerts, Antonius Weinzierl
• On the Cost Complexity of Crowdsourcing, Yili Fang, Hailong Sun, Pengpeng Chen, Jinpeng Huai
• Lightweight Label Propagation for Large-Scale Network Data, De-Ming Liang, Yu-Feng Li
• A Deep Modular RNN Approach for Ethos Mining, Rory Duthie, Katarzyna Budzynska
• A Brand-level Ranking System with the Customized Attention-GRU Model, Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai
• Interactive Robot Transition Repair With SMT, Jarrett Holtz, Arjun Guha, Joydeep Biswas
• Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment, Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
• When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing?, Richard Cole, Thanasis Lianeas, Evdokia Nikolova
• Recurrent Collaborative Filtering for Unifying General and Sequential Recommender, Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang
• Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach, Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Xiaoqing Gong, Zheng Wang
• Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding, Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao
• Hi-Fi: Hierarchical Feature Integration for Skeleton Detection, Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng
• Curriculum Learning for Natural Answer Generation, Cao Liu, Shizhu He, Kang Liu, Jun Zhao
• DEL: Deep Embedding Learning for Efficient Image Segmentation, Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng
• A Study of Argumentative Characterisations of Preferred Subtheories, Marcello D’Agostino, Sanjay Modgil
• Descriptive Clustering: ILP and CP Formulations with Applications, Chia-Tung Kuo, Thi-Bich-Hanh Dao, S. S. Ravi, Christel Vrain, Ian Davidson
• Image Cationing with Visual-Semantic LSTM, Nannan Li, Zhenzhong Chen
• Scanpath Prediction for Visual Attention using IOR-ROI LSTM, Zhenzhong Chen, Wanjie Sun
• Visual Data Synthesis via GAN for Zero-Shot Video Classification, Chenrui Zhang, Yuxin Peng
• Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification, Chenrui Zhang, Yuxin Peng
• Dual Adversarial Networks for Zero-shot Cross-media Retrieval, Jingze Chi, Yuxin Peng
• Open Loop Execution of Tree-Search Algorithms, Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson
• Cross-media Multi-level Alignment with Relation Attention Network, Jinwei Qi, Yuxin Peng, Yuxin Yuan
• Cross-modal Bidirectional Translation via Reinforcement Learning, Jinwei Qi, Yuxin Peng
• StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization, Xiangteng He, Yuxin Peng, Junjie Zhao
• A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter, Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang
• A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface, Hongchang Shan, Yu Liu, Todor Stefanov
• Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization, Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao
• Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks, Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang
• SegBot: A Generic Neural Text Segmentation Model with Pointer Network, Jing Li, Aixin Sun, Shafiq Joty
• 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces, Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao
• Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid, Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin
• SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks, Ke Wang, Xiaojun Wan
• Fast Cross-Validation, Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
• Distributed Self-Paced Learning in Alternating Direction Method of Multipliers, Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
• Learning based Jump-Diffusion Process for Visual Object Tracking in Video Surveillance, Xiaobai Liu, Thuan Chau, Donovan Lo
• Memory Attention Networks for Skeleton-based Action Recognition, Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu
• Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach, Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui
• From Reality to Perception: Genre-Based Neural Image Style Transfer, Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li
• Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies, Shaowei Cai, Wenying Hou, Jinkun Lin, Yuanjie Li
• Learning Sequential Correlation for User Generated Textual Content Popularity Prediction, Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
• Episodic Memory Deep Q-Networks, Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang
• Democratic Fair Allocation of Indivisible Goods, Erel Segal-Halevi, Warut Suksompong
• Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation, Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma
• Deep Propagation Based Image Matting, Yu Wang, Yi Niu, Peiyong Duan, Jianwei Lin, Yuanjie Zheng
• Ensemble Soft-Margin Softmax Loss for Image Classification, Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li
• Redundancy-resistant Generative Hashing for Image Retrieval, Changying Du, Xingyu Xie, Changde Du, Hao Wang
• A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths, Longkun Guo, Yunyun Deng, Kewen Liao, Qiang He, Timos Sellis, Zheshan Hu
• Improving Information Centrality of a Node in Complex Networks by Adding Edges, Liren Shan, Yuhao Yi, Zhongzhi Zhang
• Multi-modal Circulant Fusion for Video-to-Language and Backward, Aming Wu, Yahong Han
• Biharmonic Distance Related Centrality for Edges in Weighted Networks, Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang
• R^3Net: Recurrent Residual Refinement Network for Saliency Detection, Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, Pheng-Ann Heng
• Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value, Christophe Labreuche, Simon Fossier
• Joint Extraction of Entities and Relations Based on a Novel Graph Scheme, Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu
• Contextual Outlier Interpretation, Ninghao Liu, Donghwa Shin, Xia Hu
• Unpaired Multi-Domain Image Generation via Regularized Conditional GANs, Xudong Mao, Qing Li
• Multiway Attention Networks for Modeling Sentence Pairs, Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou
• Non-translational Alignment for Multi-relational Networks, Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou
• GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices, Umar Asif, Jianbin Tang, Stefan Harrer
• Multi-modal Sentence Summarization with Modality Attention and Image Filtering, Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Tianshang Liu
• Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction, Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
• An Encoder-Decoder Framework Translating Natural Language to Structural Query Language, Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang
• Weakly Learning to Match Experts in Online Community, Yujie Qian, Jie Tang, Kan Wu
• Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation, Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng
• Efficient Attributed Network Embedding via Recursive Randomized Hashing, Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
• Abducing Relations in Continuous Spaces, Taisuke Sato, Katsumi Inoue, Chiaki Sakama
• Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters, Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi Keung Tang
• Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization, Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo
• Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents, Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen
• View-Volume Network for Semantic Scene Completion from a Single Depth Image, Yuxiao Guo, Xin Tong
• Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition, Keke He, Yanwei Fu, Wuhao Zhang, Chengjie Wang, Yu-Gang Jiang, Feiyue Huang, Xiangyang Xue
• Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces, Haifang Li, Yingce Xia, Wensheng Zhang
• Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval, Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang
• HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction, Dejiang Kong, Fei Wu
• Estimating Latent People Flow without Tracking Individuals, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda
• Adversarial Metric Learning, Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
• Deep Text Classification Can be Fooled, Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi
• Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games, Daisuke Hatano, Yuichi Yoshida
• Learning with Adaptive Neighbors for Image Clustering, Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang
• Preventing Disparate Treatment in Sequential Decision Making, Hoda Heidari, Andreas Krause
• Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning, Vladimir Ilievski, Claudiu Musat, Andreea Hossman, Michael Baeriswyl
• Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings , Mladen Dimovski, Vladimir Ilievski, Claudiu Musat, Andreea Hossman, Michael Baeriswyl
• Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies, The Anh Han, Simon Lynch, Long Tran-Thanh, Santos Francisco C.
• DehazeGAN: When Image Dehazing Meets Differential Programming, Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
• A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization, Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang
• A Question Type Driven Framework to Diversify Visual Question Generation, Zhihao Fan, zhongyu wei, Piji Li, Yanyan Lan, Xuanjing Huang
• Policy Optimization with Second-Order Advantage Information, Jiajin Li, Baoxiang Wang, Shengyu Zhang
• Trajectory-User Linking via Variational AutoEncoder, Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
• ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks, Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
• High Resolution Feature Recovering for Accelerating Urban Scene Parsing, Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan
• Inconsistency Measures for Repair Semantics in OBDA, Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert
• Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders, Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
• Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations, Edward Cheung, Yuying Li
• Human Motion Generation via Cross-Space Constrained Sampling, Zhongyue Huang, Jingwei Xu, Bingbing Ni
• Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes, Hongteng Xu, Dixin Luo, Lawrence Carin
• Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders, Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li
• Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention, Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He
• Learning Transferable UAV for Forest Visual Perception, Lyujie Chen, Wufan Wang, Jihong Zhu
• Distortion-aware CNNs for Spherical Images, Qiang Zhao, Chen Zhu, Feng Dai, Yike Ma, Guoqing Jin, Yongdong Zhang
• Automatic Gating of Attributes in Deep Structure, Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen
• Cascaded Low Rank and Sparse Representation on Grassmann Manifolds, Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
• Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences, Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao
• Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
• De-biasing Covariance-Regularized Discriminant Analysis, Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
• Complementary Learning of Word Embeddings, Yan Song, Shuming Shi
• Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification, Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang
• Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation, Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu
• Dynamic Hypergraph Structure Learning, Zizhao Zhang, Haojie Lin, Yue Gao
• Complementary Binary Quantization for Joint Multiple Indexing, Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng
• MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation, Sen Su, Li Sun, Zhongbao Zhang, Gen Li, Jielun Qu
• Where to Prune: Using LSTM to Guide End-to-end Pruning, Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang
• IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection, Yang Qiangpeng, Cheng Mengli, Zhou Wenmeng, Chen Yan, Qiu Minghui, Lin Wei
• Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition, Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo
• Deep Attribute Guided Representation for Heterogeneous Face Recognition, Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, Xinbo Gao
• Deep Reasoning with Knowledge Graph for Social Relationship Understanding, Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin
• Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics, Jinyang Gao, Beng Chin Ooi, Yanyan Shen, Wang-Chien Lee
• JUMP: a Jointly Predictor for User Click and Dwell Time, Zhou Tengfei, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou
• Learning to Write Stylized Chinese Characters by Reading a Handful of Examples, Danyang Sun, TongZheng Ren, Chongxuan Li, Hang Su, Jun Zhu
• Adaboost with Auto-Evaluation for Conversational Models, Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu
• Generative Adversarial Positive-Unlabelled Learning, Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao
• Ceteris paribus majority for social ranking, Adrian Haret, Hossein Khani, Stefano Moretti, Meltem Ozturk
• Boosting MCSes Enumeration, Éric Grégoire, Yacine Izza, Jean-Marie Lagniez
• Mixed Link Networks, Wenhai Wang, Xiang Li, Tong Lu, Jian Yang
• Query Answering in Propositional Circumscription, Mario Alviano
• Reasoning about Consensus when Opinions Diffuse through Majority Dynamics, Vincenzo Auletta, Diodato Ferraioli, Gianluigi Greco
• Stochastic Fractional Hamiltonian Monte Carlo, Nanyang Ye, Zhanxing Zhu
• Semantic Locality-Aware Deformable Network for Clothing Segmentation, Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui
• Progressive Blockwise Knowledge Distillation for Neural Network Acceleration, Hui Wang, Hanbin Zhao, Xi Li, Xu Tan
• Lifted Filtering via Exchangeable Decomposition, Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
• Incomplete Multi-View Weak-Label Learning, Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
• Multi-Label Co-Training, Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
• MEnet: A Metric Expression Network for Salient Object Segmentation, Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John Paisley
• Parameterised Queries and Lifted Query Answering, Tanya Braun, Ralf Möller
• Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement, Yue Hu, Juntao Li, Xi Li, Gang Pan, Mingliang Xu
• Improving Deep Neural Network Sparsity through Decorrelation Regularization, Xiaotian Zhu, Wengang Zhou, Houqiang Li
• Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks, Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan
• Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach, Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
• CR-GAN: Learning Complete Representations for Multi-view Generation, Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris Metaxas
• Approval-Based Multi-Winner Rules and Strategic Voting, Martin Lackner, Piotr Skowron
• Think Globally, Embed Locally — Locally Linear Meta-embedding of Words, Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi
• Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations, Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen
• Maximin Share Allocations on Cycles, Zbigniew Lonc, Miroslaw Truszczynski
• Power-law Distribution Aware Trust Prediction, Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
• Abstraction of Agents Executing Online and their Abilities in the Situation Calculus, Bita Banihashemi, Giuseppe De Giacomo, Yves Lesperance
• Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding, Hai Wan, Yonghao Luo, Bo Peng, Wei-Shi Zheng
• Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams, Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo
• A Joint Learning Approach to Intelligent Job Interview Assessment, Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong
• Possibilistic ASP Base Revision by Certain Input, Laurent Garcia, Claire Lefèvre, Odile Papini, Igor Stéphan, Eric Würbel
• Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping, Diego De Uña, Nataliia Rümmele, Graeme Gange, Peter Schachte, Peter J. Stuckey
• Matrix completion with Preference Ranking for Top-N Recommendation, Zengmao Wang, Yuhong Guo, Bo Du
• On the Complexity of Chore Division, Alireza Farhadi, Mohammad Hajiaghayi
• Distributed Primal-Dual Optimization for Non-uniformly Distributed Data, Minhao Cheng, Cho-Jui Hsieh
• PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making, Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
• A Savage-style Utility Theory for Belief Functions, Chunlai Zhou, Biao Qin, Xiaoyong Du
• Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination, Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma
• Accelerating Convolutional Networks via Global & Dynamic Filter Pruning, Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang
• Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network, Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang
• Learning Robust Gaussian Process Regression for Visual Tracking, Linyu Zheng, Ming Tang, Jinqiao Wang
• Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling, Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
• Extended Increasing Cost Tree Search for Non-Unit Cost Domains, Thayne Walker, Nathan Sturtevant, Ariel Felner
• Optimal Bidding Strategy for Brand Advertising, Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata
• Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification, Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu
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• Constructing Narrative Event Evolutionary Graph for Script Event Prediction, Zhongyang Li, Xiao Ding, Ting Liu
• Tag-based Weakly-supervised Hashing for Image Retrieval, Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng
• Extracting Action Sequences from Texts Based on Deep Reinforcement Learning, Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati
• PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training, Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen
• Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network, Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu
• Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics, Yongyi Tang, Lin Ma, Wei Liu, Wei-Shi Zheng
• Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification, Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
• AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks, Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang
• Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation, Hong Shi, Shaojun Pan, Jian Yang, Chen Gong
• Neural Machine Translation with Key-Value Memory-Augmented Attention, Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang
• Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning, Chen Hui, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han
• Does Tail Label Help for Large-Scale Multi-Label Learning, Tong Wei, Yu-Feng Li
• TreeNet: Learning Sentence Representations with Unconstrained Tree Structure, Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang
• Tri-net for Semi-Supervised Deep Learning, Dong-Dong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou
• Adaptive Graph Guided Embedding for Multi-label Annotation, Lichen Wang, Zhengming Ding, Yun Fu
• Scalable Rule Learning via Learning Representation, Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang
• Efficient Adaptive Online Learning via Frequent Directions, Yuanyu Wan, Nan Wei, Lijun Zhang
• Bootstrapping Entity Alignment with Knowledge Graph Embedding, Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu
• Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation, Yang Li, Kan Li, Xinxin Wang
• Learning Unmanned Aerial Vehicle Control for Autonomous Target Following, Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
• Progressive Generative Hashing for Image Retrieval, Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Truthful Fair Division without Free Disposal, Xiaohui Bei, Guangda Huzhang, Warut Suksompong
• Medical Concept Embedding with Time-aware Attention, Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan
• Extracting Privileged Information from Untagged Corpora for Classifier Learning, Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xian-Sheng Hua, Zhenmin Tang
• Cost-Effective Active Learning for Hierarchical Multi-Label Classification, Yi-Fan Yan, Sheng-Jun Huang
• Minimizing Adaptive Regret with One Gradient per Iteration, Guanghui Wang, Dakuan Zhao, Lijun Zhang
• Age Estimation Using Expectation of Label Distribution Learning, Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
• A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction, Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan Kankanhalli
• Answering Mixed Type Questions about Daily Living Episodes, Taiki Miyanishi, Jun-ichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe
• Bandit Online Learning on Graphs via Adaptive Optimization, Peng Yang, Peilin Zhao, Xin Gao
• Robust Auto-Weighted Multi-View Clustering, Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang
• R-SVM+: Robust Learning with Privileged Information, Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao
• SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation, Tsun-Yi Yang, Yi-Hsuan Huang, Yen-Yu Lin, Pi-Cheng Hsiu, Yung-Yu Chuang
• Co-attention CNNs for Unsupervised Object Co-segmentation, Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
• On Fair Price Discrimination in Multi-Unit Markets, Michele Flammini, Manuel Mauro, Matteo Tonelli
• Code Completion with Neural Attention and Pointer Networks, Jian Li, Yue Wang, Michael R. Lyu, Irwin King
• Causal Inference in Time Series via Supervised Learning, Yoichi Chikahara, Akinori Fujino
• Student-t Variational Autoencoder for Robust Density Estimation, Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
• LC-RNN: A Deep Learning Model for Traffic Speed Prediction, Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou
• A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition, Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, Yuan Zong
• Dual Conditional GANs for Face Aging and Rejuvenation, Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen
• Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns, Ali Zonoozi, Jung Jae Kim, Xiaoli Li, Gao Cong
• From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying, Cristina Feier, Carsten Lutz, Frank Wolter
• Preference orders on families of sets – when can impossibility results be avoided?, Jan Maly, Miroslaw Truszczynski, Stefan Woltran
• Refine or Represent: Residual Networks with Explicit Channel-wise Configuration, Yanyan Shen, Jinyang Gao
• Non-decreasing Payment Rules for Combinatorial Auctions, Vitor Bosshard, Ye Wang, Sven Seuken
• Active Object Reconstruction Using a Guided View Planner, Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu
• Patent Litigation Prediction: A Convolutional Tensor Factorization Approach, Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du
• Markov Random Neural Fields for Face Sketch Synthesis, Mingjin Zhang, Nannan Wang, Xinbo Gao, Yunsong Li
• A Unified Analysis of Stochastic Momentum Methods for Deep Learning, Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
• Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback, Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiaoli Li, Zhihui Jin
• Towards Reading Comprehension for Long Documents, Yuanxing Zhang, Yangbin Zhang, Kaigui Bian, Xiaoming Li
• Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting, Bing Yu, Haoteng Yin, Zhanxing Zhu
• Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search, Tao Zhuang, Wenwu Ou, Zhirong Wang
• Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder, Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao
• Unsupervised Disentangled Representation Learning with Analogical Relations, Zejian Li, Yongchuan Tang, Yongxing He
• Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning, Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang
• Dynamic Resource Routing using Real-Time Dynamic Programming, Sebastian Schmoll, Matthias Schubert
• Multi-Task Clustering with Model Relation Learning, Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo
• Integrative Network Embedding via Deep Joint Reconstruction, Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
• An Adaptive Hierarchical Compositional Model for Phrase Embedding, Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang
• Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics, Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang
• ACV-tree: A New Method for Sentence Similarity Modeling, Yuquan Le, Zhi-Jie Wang, Zhe Quan, Jiawei He, Bin Yao
• Localized Incomplete Multiple Kernel k-means, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao
• NeuRec: On Nonlinear Transformation for Personalized Ranking, Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
• Traffic Light Scheduling, Value of Time, and Incentives, Argyrios Deligkas, Erez Karpas, Ron Lavi, Rann Smorodinsky
• SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification, Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan
• Chinese Poetry Generation with a Working Memory Model, Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang
• A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling, Jiashen Hua, Xiaojin Gong
• Pseudo-Boolean Constraints from a Knowledge Representation Perspective, Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon
• Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives, Krishnendu Chatterjee, Adrián Elgyütt, Petr Novotný, Owen Rouillé
• Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation, Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
• Scalable Multiplex Network Embedding, Hongming Zhang, Liwei Qiu, Lingling Yi, Yangqiu Song
• Efficient Pruning of Large Knowledge Graphs, Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto, Paola Velardi
• Approximating Word Ranking and Negative Sampling for Word Embedding, Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang
• Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints, Yuzhe Zhang, Kentaro Yahiro, Nathanael Barrot, Makoto Yokoo
• DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision, Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng
• Brain-inspired Balanced Tuning for Spiking Neural Networks, Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu
• Two Sides of the Same Coin: Belief Revision and Enforcing Arguments, Adrian Haret, Johannes P. Wallner, Stefan Woltran
• Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals, Giuseppe De Giacomo, Sasha Rubin
• Embracing Change by Abstraction Materialization Maintenance for Large ABoxes, Markus Brenner, Birte Glimm
• Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision, Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen
• Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation, Ariel Rosenfeld, Oleg Maximov, Sarit Kraus
• A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms, Chao Bian, Chao Qian, Ke Tang
• Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval, Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen
• DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation, Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang
• Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency, Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan
• Mixture of GANs for Clustering, Yang Yu, Wen-Ji Zhou
• An Exact Algorithm for Maximum k-Plexes in Massive Graphs, Jian Gao, Jiejiang Chen, Minghao Yin, Rong Chen, Yiyuan Wang
• Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method, Shuqin Gu, Yuexian Hou, Lipeng Zhang, Yazhou Zhang
• Classification Transfer for Qualitative Reasoning Problems, Manuel Bodirsky, Peter Jonsson, Barnaby Martin, Antoine Mottet
• Collaborative Learning for Weakly Supervised Object Detection, Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang
• Robust Feature Selection on Incomplete Data, Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang
• An Information Theory based Approach to Multisource Clustering, Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols
• DMC: A Distributed Model Counter, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
• Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment, Guolong Wang, Junchi Yan, Zheng Qin
• Adversarially Regularized Graph Autoencoder for Graph Embedding, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
• Semi-Supervised Optimal Margin Distribution Machines, Teng Zhang, Zhi-Hua Zhou
• Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach, Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
• Multiwinner Voting with Fairness Constraints, Elisa Celis, Lingxiao Huang, Nisheeth Vishnoi
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• When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach, Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas Huang
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• Transformable Convolutional Neural Network for Text Classification, Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
• Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty, Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier
• Deep Multi-View Concept Learning, Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang
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• Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning, Guoxian Dai, Jin Xie, Yi Fang
• Verifying Emergence of Bounded Time Properties in Probabilistic Swarm Systems, Alessio Lomuscio, Edoardo Pirovano
• Small undecidable problems in epistemic planning, Sébastien Lê Cong, Sophie Pinchinat, François Schwarzentruber
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• Algorithms for the Nearest Assignment Problem, Sara Rouhani, Tahrima Rahman, Vibhav Gogate
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• Towards Enabling Binary Decomposition for Partial Label Learning, Xuan Wu, Min-Ling Zhang
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• Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying, Andre Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter
• On the Satisfiability Threshold of Random Community-Structured SAT, Dina Barak-Pelleg, Daniel Berend
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• Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection, Chao Qian, Yang Yu, Ke Tang
• Inferring Temporal Knowledge for Near-Periodic Recurrent Events, Dinesh Raghu, Surag Nair, Mausam .
• A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks, Tianyi Hao, Longbo Huang
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• Online Kernel Selection via Incremental Sketched Kernel Alignment, Xiao Zhang, Shizhong Liao
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• Sampling for Approximate Bipartite Network Projection, Nesreen Ahmed, Nick Duffield, Liangzhen Xia
• Service Exchange Problem, Julien Lesca, Taiki Todo
• INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process, Ruocheng Guo, Jundong Li, Huan Liu
• Equilibrium Behavior in Competing Dynamic Matching Markets, Zhuoshu Li, Neal Gupta, Sanmay Das, John Dickerson
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• The Promise and Perils of Myopia in Dynamic Pricing With Censored Information, Meenal Chhabra, Sanmay Das, Ilya Ryzhov
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• An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees, Minyi Li, Borhan Kazimipour
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• Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid, Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac
• On Q-learning Convergence for Non-Markov Decision Processes, Sultan Javed Majeed, Marcus Hutter
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• What game are we playing? End-to-end learning in normal and extensive form games, Chun Kai Ling, Fei Fang, J. Zico Kolter
• Bayesian Active Edge Evaluation on Expensive Graphs, Sanjiban Choudhury, Siddhartha Srinivasa, Sebastian Scherer
• Adversarial Constraint Learning for Structured Prediction, Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
• EZLearn: Exploiting Organic Supervision in Automated Data Annotation, Maxim Grechkin, Hoifung Poon, Bill Howe
• Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation, Guiliang Liu, Oliver Schulte
• Incrementally Grounding Expressions for Spatial Relations between Objects, Tiago Mota, Mohan Sridharan
• 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations, Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
• Iterative Metric Learning for Imbalance Data Classification, Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao
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• Synthesizing Pattern Programs from Examples, Sunbeom So, Hakjoo Oh
• A Novel Strategy for Active Task Assignment in Crowd Labeling, Zehong Hu, Jie Zhang
• CSNN: An Augmented Spiking based Framework with Perceptron-Inception, Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan
• Counterfactual Resimulation for Causal Analysis of Rule-Based Models, Jonathan Laurent, Jean Yang, Walter Fontana
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• Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks, Yan Song, Shuming Shi, Jing Li
• Learning Deep Unsupervised Binary Codes for Image Retrieval, Chen Junjie, William K. Cheung, Anran Wang
• Instance weighting with applications to cross-domain text classification via trading off sample selection bias and variance, Rui Xia, Zhenchun Pan, Feng Xu
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• LSTM Networks for Online Cross-Network Recommendations, Dilruk Perera, Roger Zimmermann
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• Label Enhancement for Label Distribution Learning, Ning Xu, An Tao, Xin Geng
• Generative Warfare Nets: Ensemble via Adversaries and Collaborators, Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin
• Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss, Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
• Jointly Learning Network Connections and Link Weights in Spiking Neural Networks, Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan
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• Adversarial Attribute-Image Person Re-identification, Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang Lai
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• Semi-Supervised Multi-Modal Learning with Incomplete Modalities, Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang
• Enhanced-alignment Measure for Binary Foreground Map Evaluation, Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji
• Online Deep Learning: Learning Deep Neural Networks on the Fly, Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
• Feature Integration with Adaptive Importance Maps for Visual Tracking, Aishi Li, Ming Yang, Wanqi Yang
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• Convolutional Memory Blocks for Depth Data Representation Learning, Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun
• SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing, Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-shun Xu
• Towards Generalized and Efficient Metric Learning on Riemannian Manifold, Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
• A Multi-task Learning Approach for Image Captioning, Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao
• Aspect Term Extraction with History Attention and Selective Transformation, Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang
• Teaching Machines to Ask Questions, Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu
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• Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism, Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan
• On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach, Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac
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• Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning, Ning Zhang, Junchi Yan, Yucheng Zhou
• Estimation with Incomplete Data: The Linear Case, Karthika Mohan, Felix Thoemmes, Judea Pearl
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• Energy-efficient Amortized Inference with Cascaded Deep Classifiers, Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
• MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling, Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo
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• Relevance in Structured Argumentation, Christian Straßer, AnneMarie Borg
• Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning, Haiyan Yin, Jianda Chen, Sinno Jialin Pan
• Scalable Probabilistic Causal Structure Discovery, Dhanya Sridhar, Jay Pujara, Lise Getoor
• Comparing Approximate Relaxations of Envy-Freeness, Georgios Amanatidis, Georgios Birmpas, Vangelis Markakis
• Generalization-Aware Structured Regression towards Balancing Bias and Variance, Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic
• Counterexample-Guided Data Augmentation, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia
• A Symbolic Approach to Explaining Bayesian Network Classifiers, Andy Shih, Arthur Choi, Adnan Darwiche
• Social Media based Simulation Models for Understanding Disease Dynamics, Ting Hua, Chandan K Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
• A Cloaking Mechanism to Mitigate Market Manipulation, Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman
• Hierarchical Active Learning with Group Proportion Feedback, Zhipeng Luo, Milos Hauskrecht
• An Axiomatic View of the Parimutuel Consensus Mechanism, Rupert Freeman, David M. Pennock
• Learning to Infer Final Plans in Human Team Planning, Joseph Kim, Matthew Woicik, Matthew Gombolay, Sung-Hyun Son, Julie Shah
• ANRL: Attributed Network Representation Learning via Deep Neural Networks, Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
• On Robust Trimming of Bayesian Network Classifiers, YooJung Choi, Guy Van den Broeck
• Attention-Fused Deep Matching Network for Natural Language Inference, Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao
• Cross-Domain Depression Detection via Harvesting Social Media, Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall
• Replicating Active Appearance Model by Generator Network, Tian Han, Jiawen Wu, Ying Nian Wu
• Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks, Renjie Zheng, Junkun Chen, Xipeng Qiu
• Network Approximation using Tensor Sketching, Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
• Summarizing Source Code with Transferred API Knowledge, Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
• Learning Out-of-Vocabulary Words in Intelligent Personal Agents, Avik Ray, Yilin Shen, Hongxia Jin
• Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models, Buser Say, Scott Sanner
• Finding Frequent Entities in Continuous Data, Ferran Alet, Tomas Lozano-Perez, Rohan Chitnis, Leslie P. Kaelbling
• Robust Graph Dimensionality Reduction, Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang
• Recommendation with Multi-Source Heterogeneous Information, Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu
• Deep Convolutional Neural Networks with Merge-and-Run Mappings, Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang
• Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering, Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
• Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach, Bo Yang, Min Liu
• Building Sparse Deep Feedforward Networks using Tree Receptive Fields, Xiaopeng Li, Zhourong Chen, Nevin L Zhang
• Where have you been? Inferring career trajectory from academic social network, Kan Wu, Jie Tang, Chenhui Zhang
• Understanding Subgoal Graphs by Augmenting Contraction Hierarchies, Tansel Uras, Sven Koenig
• Similarity-Based Reasoning, Raven’s Matrices, and General Intelligence, Can Mekik, Ron Sun, David Yun Dai
• The Price of Usability: Designing Operationalizable Strategies for Security Games, Sara Marie Mc Carthy, Corine Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
• Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction, Sen Su, Ningning Jia, Xiang Cheng, Shuguang Zhu, Ruiping Li
• Nonrigid Points Alignment with Soft-weighted Selection, Xuelong Li, Jian Yang, Qi Wang
• Interpretable Adversarial Perturbation in Input Embedding Space for Text, Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto
• Robot Task Interruption by Learning to Switch Among Multiple Models, Anahita Mohseni-Kabir, Manuela Veloso
• Mixed Causal Structure Discovery with Application to Prescriptive Pricing, Wenjuan Wei, Lu Feng, Chunchen Liu
• Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search, Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
• A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams, Amin Jaber, Jiji Zhang, Elias Bareinboim
• Neural User Response Generator: Fake News Detection with Collective User Intelligence, Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu
• Complexity of Scheduling Charging in the Smart Grid, Mathijs de Weerdt, Michael Albert, Vincent Conitzer, Koos van der Linden
• Admissible abstractions for near-optimal task and motion planning, William Vega-Brown, Nicholas Roy
• Learning Environmental Calibration Actions for Policy Self-Evolution, Chao Zhang, Yang Yu, Zhi-Hua Zhou
• Lifelong Domain Word Embedding via Meta-Learning, Hu Xu, Bing Liu, Lei Shu, Philip Yu
• Determining Persuasiveness in Essays, Winston Carlile, Nishant Gurradapi, Zixuan Ke, Vincent Ng
• Translations as Additional Contexts for Sentence Classification, Reinald Kim Amplayo, Kyungjae Lee, Jinyoung Yeo, Seung-won Hwang
• Structured Inference for Recurrent Hidden Semi-markov Model, Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
• Biased Random Walk based Social Regularization for Word Embeddings, Ziqian Zeng, Xin Liu, Yangqiu Song
• Feature Hashing for Network Representation Learning, Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu
• Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation, Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu
• On the Conditional Logic of Simulation Models, Duligur Ibeling, Thomas Icard
• Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions, Paula Chocron, Paolo Pareti
• Scheduling under Uncertainty: A Query-based Approach, Luciana Arantes, Evripidis Bampis, Alexander Kononov, Manthos Letsios, Giorgio Lucarelli, Pierre Sens
• Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization, Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon
• Learning to Recognize Transient Sound Events using Attentional Supervision, Szu-Yu Chou, Jyh-Shing Jang, Yi-Hsuan Yang
• A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios, Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu
• Generating Adversarial Examples with Adversarial Networks, Chaowei Xiao, Bo Li, Jun-yan Zhu, Warren He, Mingyan Liu, Dawn Song
• Complexity of Approximate Query Answering under Inconsistency in Datalog+/-, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
• Learning Latent Feature Relational Models via Small-Variance Asymptotics, Gundeep Arora, Anupreet Porwal, Avani Samdariya, Piyush Rai, Kanupriya Agarwal
• Reinforced Mnemonic Reader for Machine Reading Comprehension, Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou
• Joint Posterior Revision of NLP Annotations via Ontological Knowledge, Marco Rospocher, Francesco Corcoglioniti
• ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions, Soham Parikh, Ananya Sai, Preksha Nema, Mitesh Khapra
• The Complexity of Limited Belief Reasoning—The Quantifier-Free Case, Yijia Chen, Abdallah Saffidine, Christoph Schwering
• Fair Division Under Cardinality Constraints, Arpita Biswas, Siddharth Barman
• Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm, Rui Yan, Dongyan Zhao
• Feature Enhancement in Attention for Visual Question Answering, Yuetan Lin, Zhangyang Pang, Donghui Wang, Yueting Zhuang
• Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications, Weiran Huang, Jungseul Ok, Liang Li, Wei Chen