2019 Seminars


Date:2019-01-09

Title: Object-Part Attention Model for Fine-Grained Image Classification
Speaker: 肖浩泉
Paper:2018TIP[PDF] [PPT]

Title: Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings
Speaker: 郑永立
Paper:2018CIKM[PDF] [PPT]

Title: Clustering with Deep Learning
Speaker: 钱涛
Paper:2018arxiv[PDF] [PPT]

Title: Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism
Speaker: 彭鹏
Paper:2018arxiv[PDF] [PPT]

Title: Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
Speaker: 陈丽红
Paper:2017IJCAI[PDF] [PPT]


Date:2019-01-16

Title: MetaAnchor Learning to Detect Objects with Customized Anchors
Speaker: 王丽冉
Paper:2018Neur IPS[PDF] [PPT]

Title: Shifu Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data
Speaker: 夏镒楠
Paper:2017WWW[PDF] [PPT]

Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Speaker: 任星宇
Paper:2018CVPR[PDF] [PPT]

Title: adversarial attacks on deep-learning based radio signal classification
Speaker: 郑海斌
Paper:2018arxiv[PDF] [PPT]

Title: Domain Adaptive Faster R-CNN for Object Detection in the Wild
Speaker: 李一帆
Paper:2018CVPR[PDF] [PPT]


Date:2019-01-23

Title: Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models
Speaker: 戴宏伟
Paper:2018arxiv[PDF]

Title: Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
Speaker: 赵明浩
Paper:2018WWW[PDF]


Date:2019-03-07

Title: Inf2vec: Latent Representation Model for Social Influence Embedding
Speaker: 殳欣成
Paper:2018ICDE[PDF]

Title: DATA POISONING ATTACK AGAINST UNSUPERVISED NODE EMBEDDING METHODS
Speaker: 郑钧
Paper:2018ICLR[PDF]

Title: Large-Scale Learnable Graph Convolutional Networks
Speaker: 李蓥杰
Paper:2018KDD[PDF]

Title: Generative Neural Networks for Anomaly Detection in Crowded Scenes
Speaker: 许永超
Paper:2019TIFS[PDF]

Title: Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
Speaker: 沈诗婧
Paper:[PDF]


Date:2019-03-14

Title: CONTACT PLAN DESIGN FOR NAVIGATION SATELLITE NETWORK BASED ON MAXIMUM MATCHING
Speaker: 朱创
Paper:2018ICVISP[PDF]

Title: License Plate Detection and Recognition in Unconstrained Scenarios
Speaker: 陈科
Paper:2018 ECCV[PDF]

Title: A Higher-Order Graph Convolutional Layer
Speaker: 吴洋洋
Paper:2018NIPS[PDF]

Title: Sample Complexity of Networked Control Systems over Unknown Channels
Speaker: 许德衡
Paper:2018ICCDC[PDF]

Title: Residual Dense Network for Image Super-Resolution
Speaker: 袁琴
Paper:2018CVPR[PDF]


Date:2019-03-21

Title: Scale-Transferrable Object Detection
Speaker:赵佳康
Paper:2018ICVPR[PDF]

Title: Dual Convolutional Neural Network for Graph of Graphs Link Prediction
Speaker: 李玉玮
Paper:2018arxiv[PDF]

Title: Towards Better Analysis of Machine Learning Models:A Visual Analytics Perspective
Speaker: 吴洋洋
Paper:2017 Visual Informatics[PDF]


Date:2019-03-28

Title: Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Speaker: 张鑫辉
Paper:2019CVPR[PDF]

Title: Semi-Supervised Graph Classification - A Hierarchical Graph Perspective
Speaker: 王金焕
Paper:WWW2019[PDF]

Title: Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Speaker: 韩忙
Paper:2018KDD[PDF]

Title: LC-RNN A Deep Learning Model for Traffic Speed Prediction
Speaker: 朱钟华
Paper:2018IJCAI[PDF]

Title: Real-time Personalization using Embeddings for Search Ranking at Airbnb
Speaker: 王冠华
Paper:2018KDD[PDF]


Date:2019-04-04

Title: Diffusion Convolutional Recurrent Neural Network:Data-Driven Traffic Forecasting
Speaker: 王永东
Paper:2018ICLR[PDF]

Title: Learning to Compare: Relation Network for Few-shot Learning
Speaker: 陈壮志
Paper: CVPR2018[PDF]

Title: Towards Robust Neural Networks via Random Self-ensemble
Speaker: 熊晖
Paper:ECCV2018[PDF]

Title: Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Speaker: 林翔
Paper:2018AAAI[PDF]


Date:2019-04-11

Title: A hybrid approach for movie recommendation via tags and ratings
Speaker: 孙翊杰
Paper:2018IEEE[PDF]

Title: Learning to Compare: Relation Network for Few-shot Learning
Speaker: 魏臣臣
Paper: CVPR2018[PDF]

Title: Clustrophile 2: Guided Visual Clustering Analysis
Speaker: 孙佳慧
Paper:2019IEEE[PDF]

Title: Deep Reinforcement Learning for Event-Triggered Control
Speaker: 潘晓康
Paper:2018CDC[PDF]


Date:2019-04-24

Title: Diffusion Convolutional Recurrent Neural Network:Data-Driven Traffic Forecasting
Speaker: 苏蒙蒙
Paper:2018ICLR[PDF]

Title: OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Speaker: 郑海斌
Paper: CVPR2019[PDF]

Title: Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Speaker: 彭鹏
Paper:2018arxiv[PDF]

Title: Structured Knowledge Distillation for Semantic Segmentation
Speaker: 任星宇
Paper:CVPR2019[PDF]


Date:2019-05-09

Title: Largest Laplacian eigenvalue predicts the emergence of costly punishment in the evolutionary ultimatum game on networks
Speaker: 林颖
Paper:2009PRE[PDF]

Title: Modeling, Identification, and Predictive Control of a Driver Steering Assistance System
Speaker: 唐敏
Paper:2017THMS[PDF]

Title: Resilient Event-Triggering H∞ Load Frequency Control for Multi-Area Power Systems With Energy-Limit
Speaker: 朱巧慧
Paper:2017IEEE T POWER SYST[PDF]

Title: CSI Neural Network Using Side-channels to Recover Your Arti?cial Neural Network Information
Speaker: 郝海洋
Paper:2018arxiv[PDF]

Title: Formal Methods for Stability Analysis of Networked Control Systems
Speaker: 梁启鹏
Paper:2018IEEE[PDF]


Date:2019-05-16

Title: N-GCN:Multi-scale Graph Convolution
Speaker: 陈一贤
Paper:2018Arxiv[PDF]

Title: Scale-free networks well done
Speaker: 单雅璐
Paper: 2018 arxiv[PDF]

Title: Deep Adaptive Image Clustering
Speaker: 李晓慧
Paper: 2017 IEEE ICCV[PDF]

Title: Semantic Segmentation using Adversarial Networks
Speaker: 陈作辉
Paper:2016NIPS[PDF]


Date:2019-05-23

Title: Accelerating dynamics of collective attention
Speaker: 殳欣成
Paper:NC2019[PDF]

Title: What Affects Patient(Dis)satisfaction Analyzing Online Doctor Ratings with a Joint Topic-Sentiment Model
Speaker: 张婷婷
Paper: 2018 AAA[PDF]

Title: POMDP Model Learning for Human Robot Collaboration
Speaker: 王岭人
Paper: 2018IEEE CDC[PDF]

Title: Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework
Speaker: 魏臣臣
Paper:2018IEEE[PDF]

Title: Dynamic Prediction of Origin-Destination Flows Using Fusion Line Graph Convolutional Networks
Speaker: 王永东
Paper:2019ArXiv[PDF]


Date:2019-05-30

Title: An Explicitly Relational Neural Network Architecture
Speaker: 陈壮志
Paper:2019arXiv[PDF]

Title: Stealing Neural Networks via Timing Side Channels
Speaker: 郝海洋
Paper: 2019arXiv[PDF]

Title: Densely Connected Pyramid Dehazing Network
Speaker: 朱钟华
Paper:2018CVPR[PDF]

Title: Self-Attention Generative Adversarial Networks
Speaker: 李一帆
Paper:2018arXiv[PDF]

Title: Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
Speaker: 袁琴
Paper:2018CVPR[PDF]


Date:2019-06-06

Title: Feature Hashing for Network Representation Learning
Speaker: 郑钧
Paper:2018 IJCAI[PDF]

Title: Revisiting Graph Neural Networks All We Have is Low-Pass Filters
Speaker: 张剑
Paper: 2019arXiv[PDF]

Title: AdversarialAttacksonNeuralNetworksforGraphData
Speaker: 单雅璐
Paper:2018KDD[PDF]

Title: Bayesian Inference of Network Loss and Delay Characteristics With Applications to TCP Performance Prediction
Speaker: 许德衡
Paper:2003 TSP[PDF]


Date:2019-06-13

Title: learning a bi-leval adversarial network with global and local perception for makeup-invariant face verification
Speaker: 许永超
Paper:2018 IJCAI[PDF]

Title: Rethinking Atrous Convolution for Semantic Image Segmentation
Speaker: 孙翊杰
Paper: 2019arXiv[PDF]

Title: Soccer on Your Tabletop
Speaker: 陈科
Paper:2018KDD[PDF]

Title: Adversarial Perturbations Against Real-Time Video
Speaker: 陈作辉
Paper:2003 TSP[PDF]


Date:2019-11-25

Title: DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending
Speaker: 魏臣臣
Paper:2018 IJCAI[PDF]

Title: Adversarial Examples Are Not Bugs, They Are Features
Speaker: 马稳
Paper: arXiv[PDF]

Title: Explaining and harnessing adversarial examples
Speaker: 王雪珂
Paper:ICLR 2015[PDF]


Date:2019-12-02

Title: Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
Speaker: 甘燃
Paper:2019WWW[PDF] [PPT]

Title: RECURRENT EVENT NETWORK: GLOBAL STRUCTURE:INFERENCE OVER TEMPORAL KNOWLEDGE GRAPH
Speaker: 童天航
Paper:ICLR 2019 RLGM Workshop[PDF] [PPT]

Title: Socio-Technical Work-Rate Increase Associates With Changes in Work Patterns in Online Projects
Speaker: 陈丽红
Paper:ICSE2019[PDF] [PPT]

Title: Anomalous structure and dynamics in news diffusion among heterogeneous individuals
Speaker: 殳欣成
Paper:nature human behaviour[PDF] [PPT]

Title: Robust Graph Convolutional Networks Against Adversarial Attacks
Speaker: 徐慧玲
Paper:KDD2019[PDF] [PPT]


Date:2019-12-09

Title: Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting
Speaker: 周磊
Paper:IEEE Transactions on Intelligent Transportation Systems2019[PDF] [PPT]

Title: A signal-to-image transformation approach for EEG and MEG signal classification
Speaker: 钱佳能
Paper:Signal, Image and Video Processing (2018)[PDF] [PPT]

Title: Contextualized Spatial–Temporal Network for Taxi rigin-Destination Demand Prediction
Speaker: 王永东
Paper:IEEE Transactions on Intelligent Transportation Systems[PDF] [PPT]

Title: Accurate Privacy Preserving Average Consensus
Speaker: 徐科栋
Paper:IEEE Transactions on Circuits and Systems II[PDF] [PPT]


Date:2019-12-16

Title: Differentiating Concepts and Instances for Knowledge Graph Embedding
Speaker: 张建林
Paper:EMNLP2018[PDF] [PPT]

Title: Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
Speaker: 裘坤锋
Paper:WWW 2019[PDF] [PPT]

Title: An effective spatial-temporal attention based neural network for traffic flow prediction
Speaker: 彭鹏
Paper:Transportation Research Part C2019[PDF] [PPT]

Title: Smart Roles: Inferring Professional Roles in Email Networks
Speaker: 谢昀苡
Paper:KDD2019[PDF] [PPT]

Title: sience of sience
Speaker: 岳昕晨
Paper:Science2018[PDF] [PPT]


Date:2019-12-23

Title: Differentiating Concepts and Instances for Knowledge Graph Embedding
Speaker: 林臻谦
Paper:TRC2019[PDF] [PPT]

Title: Associative Deep Clustering: Training a Classification Network with no Labels
Speaker: 李晓慧
Paper:springer2018[PDF] [PPT]

Title: Evolutionary Network Embedding Preserving both Local Proximity and Community Structure
Speaker: 王甬琪
Paper:TEVC2019[PDF] [PPT]

Title: Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Speaker: 单雅璐
Paper:IJCAI 2019[PDF] [PPT]

Title: Provable defenses against adversarial examples via the convex outer adversarial polytope
Speaker: 陈作辉
Paper:ICML2018[PDF] [PPT]


Date:2019-12-30

Title: Deep Learning Convolutional Neural Networks for Radio Identification
Speaker: 崔慧
Paper:IEEE Communications 2018[PDF] [PPT]

Title: Understand Ethereum via Graph Analysis
Speaker: 周涛
Paper:IEEE Conference on Computer Communications 2018[PDF] [PPT]

Title: A signal-to-image transformation approach for EEG and MEG signal classification 
Speaker: 朱钟华
Paper:Signal, Image and Video Processing (2018)[PDF] [PPT]

Title: A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Speaker: 张敦杰
Paper:AAAI 2020[PDF] [PPT]

Title: Hyper-Path-BasedRepresentationLearningforHyper-Networks
Speaker: 夏镒楠
Paper:CIKM 2019[PDF] [PPT]