系列文章目录

整理研究方向（2）

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郑宇团队工作

2022

1. Discovering Actual Delivery Locations from Mis-Annotated Couriers‘ Trajectories（ICDE2022) paper
2. TraSS: Efficient Trajectory Similarity Search Based on Key-Value DataStores (ICDE2022) paper 别人的论文笔记
3. Detecting Loaded Trajectories for Hazardous Chemicals Transportation (ICDE2022) paper
4. DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning (AAAI2022) paper
5. Shortening passengers’ travel time: A dynamic metro train scheduling approach using deep reinforcement learning (TKDE) paper 别人的论文笔记
6. Crowd-sensing Enhanced Parking Patrol using Sharing Bikes’ Trajectories (TKDE) paper 别人的论文笔记

2021

• Distributed Spatio-Temporal k Nearest Neighbors Join (SIGSPATIAL) (System) paper
• JUST-Traj: A Distributed and Holistic Trajectory Data Management System (Demo Paper) (SIGSPATIAL) (System) paper
• SALON: A Universal Stay Point-Based Location Analysis Platform (Demo paper) (SIGSPATIAL) (System) paper
• ICFinder: A Ubiquitous Approach to Detecting Illegal Hazardous Chemical Facilities with Truck Trajectories (Short Paper) (SIGSPATIAL) paper
• POI Alias Discovery in E-commerce Delivery Address Data using User Check-ins (Short Paper) (SIGSPATIAL) paper
• Filling Delivery Time Automatically Based on Couriers’ Trajectories (TKDE) paper
• Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning (KDD) paper
• MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning (KDD) paper
• TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System (TKDE) paper
• Visual Cascade Analytics of Large-scale Spatiotemporal Data (IEEE TVCG) paper
• AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graphs (WWW) paper
• Fine-Grained Urban Flow Prediction (WWW) paper
• Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network (AAAI) paper
• Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning (AAAI) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

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北交林友芳团队

包括万怀宇，郭晟楠等人，为ASTGCN、STSGCN等作者团队

时空数据挖掘

• Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship between Flows (TIST 2022)
• DeepRoute+: Modeling Couriers’ Spatial-Temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction (TIST) paper
• Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction (KDD 2022)
• GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting （AAAI 2021) paper
• Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories (TKDE 2021) paper
• Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (TKDE 2021) paper
• Package Pick-up Route Prediction via Modeling Couriers’ Spatial-Temporal Behaviors (ICDE 2021) paper

时间序列分析

• Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification （2021 IEEE TNSRE) paper
• HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition （2021 ACM MM) paper
• SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging (2021 IJCAI) paper

计算机视觉

• Flexible Hybrid Lenses Light Field Super-Resolution using Layered Refinement （2022 ACM MM)
• Occlusion-aware Bi-directional Guided Network for Light Field Salient Object Detection (2021 ACM MM) paper
• Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter (2021 IJCAI) paper
• Attention-based Multi-Level Fusion Network for Light Field Depth Estimation (2021 AAAI) paper
• End-to-End Light Field Spatial Super-Resolution Network using Multiple Epipolar Geometry (2021 TIP) paper

复杂网络和社交网络挖掘

• Context-aware Distance Measures for Dynamic Networks (2021 TWEB) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

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斯坦福/宾夕法尼亚姚骅修 团队

DMVST和STDN的作者团队

Preprints

• Diversify and Disambiguate: Learning From Underspecified Data (短文在ICML 2022） paper
• Transferable Neural Processes for Hyperparameter Optimization （短文在 NIPS 2019） paper
• Few-Shot Learning With Weak Supervision （ICLR 2021 Workshop) paper

2022

• Improving Out-of-Distribution Robustness via Selective Augmentation (ICML) paper
• Meta-Learning with Fewer Tasks through Task Interpolation (ICLR) paper
• Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation (ACL) paper
• Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer (KDD) paper
• Artificial Intelligence for Retrosynthesis Prediction, Engineering (Engineering) paper

2021

• Meta-learning with an Adaptive Task Scheduler (NIPS) paper
• Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery (NIPS) paper
• Knowledge-Aware Meta-learning for Low-Resource Text Classification (EMNLP) paper
• Improving Generalization in Meta-learning via Task Augmentation (ICML) paper
• Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records (WSDM) paper
• Neural Utility Functions (AAAI) paper
• Inductive Contextual Relation Learning for Personalization (TOIS) paper

2020

• Online Structured Meta-learning (NIPS) paper
• Automated Relational Meta-learning (ICLR) paper
• Graph Few-shot Learning via Knowledge Transfer (AAAI) paper
• Few-Shot Knowledge Graph Completion (AAAI) paper
• Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values (AAAI) paper
• MetaLight: Value-based Meta-reinforcement Learning for Online Universal Traffic Signal Control (AAAI) paper
• Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks (CIKM) paper
• Transferring Robustness for Graph Neural Network Against Poisoning Attacks (WSDM) paper

2019

• Hierarchically Structured Meta-learning (ICML） paper
• Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction (WWW) paper 论文笔记
• Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference (WWW) paper
• Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (AAAI) paper 论文笔记
• Predicting Academic Performance for College Students: A Campus Behavior Perspective (TIST) paper

2018

• Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (AAAI) paper 论文笔记
• IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control (KDD) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

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上交王韫博团队

PredRNN 的作者

Preprints

• Isolating and Leveraging Controllable and Noncontrollable Visual Dynamics in World Models paper
• ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning paper

2022

• Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation (TPAMI) paper
• NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields (ICML) paper
• Continual Predictive Learning from Videos (CVPR Oral) paper
• PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning (TPAMI) paper

2021

• Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training (NIPS) paper
• VideoDG: Generalizing Temporal Relations in Videos to Novel Domains (TPAMI) paper
• Context-Aware Image Inpainting with Learned Semantic Priors (IJCAI) paper
• Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction (CVPR) paper
• MetaSets: Meta-Learning on Point Sets for Generalizable Representations (CVPR) paper

2020

• Deep Predictive Learning: Problems and Methods （CCF优秀博士论文） paper
• Unsupervised Transfer Learning for Spatiotemporal Predictive Networks (ICML) paper
• DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs (IJCAI) paper
• Probabilistic Video Prediction from Noisy Data with a Posterior Confidence (CVPR) paper
• Progressive Adversarial Networks for Fine-Grained Domain Adaptation (CVPR) paper
• A Multi-Player Minimax Game for Diversifying Multi-Discriminators of Generative Adversarial Networks (ICME) paper
• Multi-Task Learning of Generalizable Representations for Video Action Recognition (ICME) paper

2019

• Eidetic 3D LSTM: A Model for Video Prediction and Beyond(ICLR) paper
• Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics (CVPR) paper

2018

• PredCNN: Predictive Learning with Cascade Convolutions (IJCAI) paper
• PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning (ICML) paper

2017

• Spatiotemporal Pyramid Network for Video Action Recognition (CVPR) paper
• PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs (NIPS) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

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南加州李亚光团队

DCRNN、STMGCN作者，现在谷歌大脑

2020

• Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (ICDE) paper
• AViC: A Cache for Adaptive Bitrate Video （CoNEXT) paper
• DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis (IEEE Bigdata) paper

2019

• CoSTCo: A Neural Tensor Completion Model for Sparse Tensors (KDD) paper
• Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting (AAAI) paper

2018

• Multi-task Representation Learning for Travel Time Estimation (KDD) paper
• Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (ICLR) paper
• Exploiting Spatiotemporal Patterns for Accurate Air Quality Forecasting using Deep Learning (SIGSPATIAL) paper

2017

• Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (SDM) paper
• PaRE: A System for Personalized Route Guidance (WWW) paper

2016

• PerNav: A Route Summarization Framework for Personalized Navigation (SIGMOD) paper
• Price-aware Real-time Ridesharing at Scale - An Auction-based Approach (SIGSPATIAL) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

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北大朱占星团队

STFGCN、STGCN作者

2022

• Fine-grained differentiable physics: a yarn-level model for fabrics (ICLR) paper
• GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training (TKDD) paper

2021

• Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay (NIPS) paper
• Implicit Bias of Adversarial Training for Deep Neural Networks (ICLR) paper
• An Annealing Mechanism for Adversarial Training Acceleration (TNNLS) paper
• Adaptive Progressive Continual Learning (TPAMI) paper
• Adversarial invariant learning (CVPR) paper
• Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization (ICML) paper
• AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models (ICLR) paper
• Sampling sparse representations with randomized measurement langevin dynamics (TKDD) paper

2020

• Amata: An Annealing Mechanism for Adversarial Training Acceleration (AAAI) paper
• Spatial-temporal fusion graph neural networks for traffic flow forecasting (AAAI) paper
• On breaking deep generative model-based defenses and beyond (ICML) paper
• Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher (NIPS) paper
• Neural Approximate Sufficient Statistics for Implicit Models (ICLR) paper
• Automatic data augmentation for 3D medical image segmentation (MICCAI) paper
• Towards understanding and improving the transferability of adversarial examples in deep neural networks (ACML) paper
• Informative Dropout for Robust Representation Learning: A Shape-bias Perspective (ICML) [paper](Informative Dropout for Robust Representation Learning: A Shape-bias Perspective)
• Using generative adversarial networks to break and protect text captchas (TOPS) paper
• Black-box certification with randomized smoothing: A functional optimization based framework (NIPS) paper
• Simplifying Graph Attention Networks with Source-Target Separation (ECAI) paper
• On the Noisy Gradient Descent that Generalizes as SGD (ICML) paper
• Efficient Neural Architecture Search via Proximal Iterations (AAAI) paper
• Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes (AAAI) paper

2019

• Towards making deep transfer learning never hurt (ICDM) paper
• Virtual adversarial training on graph convolutional networks in node classification (PRCV) paper
• Neural control variates for Monte Carlo variance reduction (ECMLPKDD) paper
• Spatio-temporal manifold learning for human motions via long-horizon modeling (TVCG) paper
• The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects (ICML) paper
• Interpreting Adversarially Trained Convolutional Neural Networks (ICML) paper
• You only propagate once: Accelerating adversarial training via maximal principle (NIPS) paper
• SpHMC: Spectral Hamiltonian Monte Carlo (AAAI) paper

2018

• Yet another text captcha solver: A generative adversarial network based approach (SIGSAC) paper
• Tangent-Normal Adversarial Regularization for Semi-supervised Learning (CVPR) paper
• Stochastic fractional hamiltonian monte carlo (IJCAI) paper
• Bayesian adversarial learning (NIPS) paper
• Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning (NIPS) paper
• Reinforced continual learning (NIPS) paper
• Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (IJCAI) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

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华科郑渤龙团队

2022

• minIL: A Simple and Small Index for String Similarity Search with Edit Distance (ICDE) paper
• PM-LSH: A Fast and Accurate In-Memory Framework for High-Dimensional Approximate NN and Closest Pair Search (VLDBJ) paper
• SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply (TKDE) paper
• Supply-Demand Aware Deep Reinforcement Learning for Dynamic Fleet Management (TIST) paper
• Wavefront based Multiple Rumor Sources Identification by Multi-Task Learning （TETCI) paper
• Deep Reinforcement Learning based Ensemble Model for Rumor Tracking （IS) paper

2021

• SpeakNav: Voice-based Route Description Language Understanding for Template Driven Path Search (PVLDB) paper
• REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries (ICDE) paper
• SpeakNav: A Voice-based Navigation System via Route Description Language Understanding (ICDE) paper
• SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply (ICDE) paper
• HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data (CIKM) paper

2020

• PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search (PVLDB) paper
• An Effective Fleet Management Strategy for Collaborative Spatial-Temporal Searching (GIS Cup) (SIGSPATIAL) paper
• Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing (ICDE) paper
• Adaptive Top-k Overlap Set Similarity Joins (ICDE) paper
• Time-Aspect-Sentiment Recommendation Models Based on Novel Similarity Measure Methods (TWEB) paper
• Searching Activity Trajectories by Exemplar (ACM TDS) paper
• Group based Recurrent Neural Networks for POI Recommendation (ACM TDS) paper
• Misinformation-oriented Expert Finding in Social Networks (WWWJ) paper

2019

• Answering Why-Not Group Spatial Keyword Queries (ICDE) paper
• An Effective Partitioning Approach for Competitive Spatial-Temporal Searching (SIGSPATIAL) paper
• Efficient and Incremental Clustering Algorithms on Star-Schema Heterogeneous Graphs (ICDE) paper
• Multiple Rumor Source Detection with Graph Convolutional Networks (CIKM) paper
• Searching Activity Trajectory with Keywords (WWWJ) paper

2018

• SharkDB: An In-memory Column-oriented Storage for Trajectory Analysis (WWWJ) paper
• Modeling Travel Behavior Similarity with Trajectory Embedding (DASFAA) paper
• Efficient Clue-based Route Search on Road Networks (ICDE) paper

2017

• Popularity-aware Spatial Keyword Search on Activity Trajectories (WWWJ) paper
• GPS-Simulated Trajectory Detection (DSAFAA) paper

2016

• Keyword-Aware Continuous kNN Query on Road Networks (ICDE) paper

2015

• Approximate Keyword Search in Semantic Trajectory Database (ICDE) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

---

莫纳什潘世瑞团队

此团队成员包括吴宗瀚等人，为Graph WaveNet的作者团队

2022

• TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting (TNNLS) paper
• Reinforced, Incremental and Cross-lingual Event Detection From Social Messages (TPAMI) paper
• Beyond low-pass filtering: Graph convolutional networks with automatic filtering (TKDE) paper
• An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics. ACM Computing Surveys (CSUR) paper
• Ultrahyperbolic Knowledge Graph Embeddings (KDD) paper
• Graph self-supervised learning: A survey (TKDE) paper
• Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting (IJCAI) paper
• Survey on Graph Neural Network Acceleration: An Algorithmic Perspective (IJCAI) paper
• Multi-Graph Fusion Networks for Urban Region Embedding (IJCAI) paper
• CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning (IJCAI) paper
• Cross-modal Clinical Graph Transformer For Ophthalmic Report Generation (CVPR) paper
• BaLeNAS: Differentiable Architecture Search via Bayesian Learning Rule (CVPR) paper
• A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection (CVPR) paper
• Towards Spatio-Temporal Aware Traffic Time Series Forecasting (ICDE) paper
• Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation (AsiaCCS) paper
• Predicting Best-Selling New Products in a Major Promotion Campaign through Graph Convolutional Networks (TNNLS) paper
• Fire Burns, Swords Cut: Commonsense Inductive Bias for Exploration in Text-based Games (ACL) paper
• Learning multi-level weight-centric features for few-shot learning. Pattern Recognition (PRJ) paper
• Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network (TETCI) paper
• GCNFusion: An efficient graph convolutional network based model for information diffusion (ESWA) paper
• Towards Unsupervised Deep Graph Structure Learning (WWW) paper
• Dual Space Graph Contrastive Learning (WWW) paper
• Predicting Human Mobility via Graph Convolutional Dual-attentive Networks (WSDM) paper
• Exploring Relational Semantics for Inductive Knowledge Graph Completion (AAAI) paper
• Discrete Embedding for Attributed Graphs (PRJ) paper

2021

• Anomaly Detection in Dynamic Graphs via Transformer (TKDE) paper
• Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels (NIPS) paper
• One-shot Learning-based Animal Video Segmentation. IEEE Transactions on Industrial Informatics (TII). paper
• Hypergraph Convolutional Network for Group Recommendation (ICDM) paper
• Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications (ICDM) paper
• Learning Graph Representations with Maximal Cliques (TNNLS) paper
• Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks (CIKM) paper
• Leveraging Information Bottleneck for Scientific Document Summarization (EMNLP) paper
• ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning (CIKM) paper
• Deep Neighbor-aware Embedding for Node Clustering in Attributed Graphs (PRJ) paper
• A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning (TKDE) paper
• Cyclic label propagation for graph semi-supervised learning (WWW) paper
• OpenWGL: Open-World Graph Learning for Unseen Class Node Classification. Knowledge and Information Systems (Invited Extension for the ICDM-20 Best Student Paper) paper
• Temporal Network Embedding for Link Prediction via VAE joint Attention Mechanism (TNNLS) paper
• iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients (ICML) paper
• Medical Code Assignment with Gated Convolution and Note-Code Interaction (ACL) paper
• Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning (IJCAI) paper
• Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification (TGRS) paper
• Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction (PAKDD) paper
• A Survey on Knowledge Graphs: Representation, Acquisition and Applications (TNNLS) paper
• Graph Learning: A Survey. IEEE Transactions on Artificial Intelligence (TAI) paper
• Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (TNNLS) paper
• Convolutional Neural Networks based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. IEEE Transactions on Evolutionary Computation, (TEvC) paper
• Learning Graph Neural Networks with Positive and Unlabeled Nodes (TKDD) paper
• Task-adaptive Neural Process for User Cold-Start Recommendation (WWW) paper
• Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning (AAAI) paper

2020

• Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing. IEEE Transactions on Mobile Computing, TMC (CORE A*). paper
• One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting (TPAMI) paper
• Graph Stochastic Neural Networks for Semi-supervised Learning (NIPS) paper
• Graph Geometry Interaction Learning (NIPS) paper
• Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement (NIPS) paper
• Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Transactions on Computational Social Systems. paper
• OpenWGL: Open-World Graph Learning (ICDM Best Student Paper Award) paper
• Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure (ICDM) paper
• Multivariate Relations Aggregation Learning in Social Networks (JCDL) paper
• Grounding Visual Concepts for Multimedia Event Detection and Multimedia Event Captioning in Zero-shot Setting (KDD) paper
• Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks (KDD) paper
• Hyperspectral Image Classification with Context-aware Dynamic Graph Convolutional Networks (TGRS) paper
• Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning (IJCAI) paper
• One-Shot Neural Architecture Search via Novelty Driven Sampling (IJCAI) paper
• A Relation-Specific Attention Network for Joint Entity and Relation Extraction (IJCAI) paper
• A comprehensive survey on graph neural networks (TNNLS) paper
• Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization (CVPR) paper
• Unsupervised Domain Adaptive Graph Convolutional Networks (WWW) paper
• Reinforcement Learning based Meta-path Discovery in Large-scale Heterogeneous Information Networks (AAAI) paper
• GSSNN: Graph Smoothing Splines Neural Networks (AAAI) paper
• Going Deep: Graph Convolutional Ladder-shape Networks (AAAI) paper
• Clustering Social Audiences in Business Information Networks (PRJ) paper

2019

• Familial Clustering For Weakly-labeled Android Malware Using Hybrid Representation Learning. IEEE Transactions on Information Forensics & Security (TIFS). paper
• Relation Structure-Aware Heterogeneous Graph Neural Network (ICDM) paper
• Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning (CIKM) paper
• Learning Graph Embedding With Adversarial Training Methods. IEEE Transactions on Cybernetics. paper
• Domain-Adversarial Graph Neural Networks for Text Classification (ICDM) paper
• An Effective and Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals (CIKM) paper
• Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion (WWW) paper
• Exploiting Implicit Influence from Information Propagation for Social Recommendation. IEEE Transactions on Cybernetics. paper
• Low-Bit Quantization for Attributed Network Representation Learning (IJCAI) paper
• Influence Spread in Geo-Social Networks: A Multi-Objective Optimization Perspective. IEEE Transactions on Cybernetics. paper
• Graph WaveNet for Deep Spatial-Temporal Graph Modeling (IJCAI) paper
• Attributed Graph Clustering: A Deep Attentional Embedding Approach (IJCAI) paper
• Time series feature learning with labeled and unlabeled data (PRJ) paper
• Social recommendation with evolutionary opinion dynamics. IEEE Transactions on Systems, Man, and Cybernetics: Systems. paper
• Measuring distance-based semantic similarity using meronymy and hyponymy relations. Neural Computing and Applications. paper
• Label Embedding with Partial Heterogeneous Contexts (AAAI) paper
• Identify topic relations in scientific literature using topic modeling. IEEE Transactions on Engineering Management. paper
• Detecting Suicidal Ideation with Data Protection in Online Communities (DASFAA) paper
• Cost-sensitive parallel learning framework for insurance intelligence operation. IEEE Transactions on Industrial Electronics. paper
• CFOND: consensus factorization for co-clustering networked data (TKDE) paper

2018

• Supervised learning for suicidal ideation detection in online user content (Complexity) paper
• Multiple structure-view learning for graph classification (TNNLS) paper
• Multi-instance learning with discriminative bag mapping (TKDE) paper
• Low-rank and sparse matrix factorization for scientific paper recommendation in heterogeneous network (IEEE Access) paper
• Heterogeneous information network embedding based personalized query-focused astronomy reference paper recommendation. International Journal of Computational Intelligence Systems. paper
• Hashing for adaptive real-time graph stream classification with concept drifts. IEEE Transactions on Cybernetics. paper
• FraudNE: a joint embedding approach for fraud detection (IJCNN) paper
• Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network. Journal of Ambient Intelligence and Humanized Computing. paper
• Discrete network embedding (IJCAI) paper
• DiSAN: directional self-attention network for RNN/CNN-free language understanding (AAAI) paper
• Cross-domain deep learning approach for multiple financial market prediction (IJCNN) paper
• Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data (IJCNN) paper
• Binarized attributed network embedding (ICDM) paper
• Adversarially regularized graph autoencoder for graph embedding (IJCAI) paper
• Advances in processing, mining, and learning complex data: From foundations to real-world applications (Complexity) paper
• Active discriminative network representation learning (IJCAI) paper
• A three-layered mutually reinforced model for personalized citation recommendation (TNNLS) paper
• A hybrid user experience evaluation method for mobile games (IEEE Access) paper

总结与分析

研究方向的转变

心得体会–我们可以做什么呢？

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