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KDD2020 | 阿里、百度、腾讯、滴滴、华为、京东、联想 KDD2020公司论文大盘点

作者: 刘艺馨

时间: 2020-07-29 11:56

KDD 2020 最新专题

会议概况

ACM SIGKDD(Conference on Knowledge Discovery and Data Mining, KDD)是世界数据挖掘领域的最高级别的国际会议,由 ACM(Association of Computing Machinery,计算机学会)的数据挖掘及知识发现专委会(SIGKDD)负责协调筹办,被中国计算机协会荐为A类会议。

自 1995 年以来,KDD 已经以大会的形式连续举办了二十余届全球峰会,作为数据挖掘领域最顶级的学术会议,KDD 大会以论文接收严格闻名,每年的接收率不超过 20%,因此颇受行业关注。

近日,KDD 2020 发布论文接收结果:本次 KDD 总接受论文数 338 篇,其中 Research Track 共 1279 篇论文参与投稿,接收率约为 16.9%;Applied Data Science track 共 756 篇论文投稿,接收率约为 16.0%。

AMiner 近期也上线了 KDD 2020 最新专题,收录了今年录用的所有论文,并对过去历年来 KDD 的录用论文数据进行了分析,后期还将陆续推出论文数据分析与论文精读等内容,为大家详解 KDD2020 最新动态。 同时,通过对 AMiner 平台中 KDD 2020 收录论文数据的挖掘,从词云可以看出,KDD 2020 的关键词主要集中在 Graph Neural Network、Representation Learning、Deep Learning Heterogeneou Graph、Attention Network、Knowledge Graph、Convolutional Network 等方向。

那么在 KDD2020 中,有哪些公司大放异彩? 学术头条为你细细道来——(以下排名不分先后)

NO.1 阿里巴巴

KDD2020 中,阿里巴巴发表论文数 25,占比 7.3%。

论文1:Fraud Transactions Detection via Behavior Tree with Local Intention Calibration基于局部意图校正行为树的欺诈交易检测

作者:Can Liu,Qiwei Zhong,Xiang Ao,Li Sun,Wangli Lin,Jinghua Feng,Qing He,Jiayu Tang

论文2:Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery按需食品配送的订单履行周期时间估算

作者:Lin Zhu,Wei Yu,Kairong Zhou,Xing Wang,Pengyu Wang,Wenxing Feng,Ning Chen,Pei Lee

论文3:Graph Structural-topic Neural Network图结构主题神经网络

作者:Qingqing Long,Yilun Jin,Guojie Song,Yi Li,Wei Lin

论文4:Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach学习通过多视图多任务关注方法生成个性化的查询自动完成

作者:Di Yin,Jiwei Tan,Zhe Zhang,Hongbo Deng,Shujian Huang,Jiajun Chen

论文5:Fast R-STL: Efficient and Robust Seasonal-Trend Decompositionfor Time Series with Complex Patterns快速R-STL:复杂模式时间序列的高效稳健季节趋势分解

作者:Qingsong Wen,Zhe Zhang,Yan Li,Liang Sun

论文6:Large-Scale Training System for 100-Million Classification at Alibaba阿里巴巴1亿分类大规模培训体系

作者:Liuyihan Song,Pan Pan,Kang Zhao,,Hao Yang,Yiming Chen,Yingya Zhang,Yinghui Xu,Rong Jin

论文7:Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation基于文本增强域自适应的半监督协同过滤

作者:Wenhui Yu,Xiao Lin,Junfeng Ge,Wenwu Ou,Zheng Qin

论文8:Privileged Features Distillation at Taobao Recommendations淘宝推荐的特权特征提炼

作者:Chen Xu,Quan Li,Junfeng Ge,Jinyang Gao,Xiaoyong Yang,Changhua Pei,Fei Sun,Jian Wu,Hanxiao Sun,Wenwu Ou

论文9:GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training GCC:用于图神经网络预训练的图对比编码

作者:Jiezhong Qiu,Qibin Chen,Yuxiao Dong,Jing Zhang,Hongxia Yang,Ming Ding,Kuansan Wang,Jie Tang

论文10:Multi-objective Optimization for Guaranteed Delivery in Video Service Platform视频服务平台保证交付的多目标优化

作者:Hang Lei,Yin Zhao,Longjun Cai

论文11:Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning多视图部分多标签学习的特征诱导流形消歧

作者:Jing-Han Wu,Xuan Wu,Qing-Guo Chen,Yao Hu,Min-Ling Zhang

论文12:Disentangled Self-Supervision in Sequential Recommenders连续推荐的分离主义自监督

作者:Jianxin Ma,Chang Zhou,Hongxia Yang,Cui Peng,Xin Wang,Wenwu Zhu

论文13:Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach有效解决实际车辆路径问题:一种新的联合学习方法

作者:Lu Duan,Yang Zhan,Jiangwen Wei,Yu Gong,Haoyuan Hu ,Yinghui Xu

论文14:Learning Stable Graphs from Heterogeneous Confounded Environments异构混杂环境中的学习稳定图

作者:Yue He,Peng Cui,Jianxin Ma,Zou Hao,Xiaowei Wang,Hongxia Yang,Philip S. Yu

论文15:Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems上下文会话匹配:在信息寻求对话系统中利用整个会话进行响应选择

作者:Zhenxin Fu,Shaobo Cui,Mingyue Shang,Feng Ji,Dongyan Zhao,Haiqing Chen,Rui Yan

论文16:Controllable Multi-Interest Framework for Recommendation可控多兴趣推荐框架

作者:Cen Yukuo,Zhang Jianwei,Zou Xu,Zhou Chang,Yang Hongxia,Tang Jie

论文17:Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective连续推荐中最大化累积用户参与度:在线优化视角

作者:Zhao Yifei,Zhou Yu-Hang,Ou Mingdong,Xu Huan,Li Nan

论文18:Prediction and Profiling of Audience Competition for Online Television Series网络电视剧观众竞争预测与分析

作者:Peng Zhang,Chuanren Liu,Kefeng Ning,Wenxiang Zhu,Yu Zhang

论文19:M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems

M2GRL:一个面向网络推荐系统的多任务多视角图表示学习框架

作者:Wang Menghan,Lin Yujie,Lin Guli,Yang Keping,Wu Xiao-ming

论文20:Understanding Negative Sampling in Graph Representation Learning图表示学习中的理解负采样

作者:Yang Zhen,Ding Ming,Zhou Chang,Yang Hongxia,Zhou Jingren,Tang Jie

论文21:Comprehensive Information Integration Modeling Framework for Video Titling视频标题综合信息集成建模框架

作者:Shengyu Zhang,Ziqi Tan,Jin Yu,Zhou Zhao,Kun Kuang,Tan Jiang,Hongxia Yang,Fei Wu,Jingren Zhou

论文22:A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce提高电子商务商店搜索长尾性能的对偶异构图注意网络

作者:Xichuan Niu,Bofang Li,Chenliang Li,Rong Xiao,Haochuan Sun,Hongbo Deng,Zhenzhong Chen

论文23:Balanced Order Batching with Task-Oriented Graph Clustering面向任务图聚类的平衡顺序批处理

作者:Lu Duan,Zili Wu,Guozheng Li,Yu Gong ,Xinhang Zhang,Haoyuan Hu,Yinghui Xu

论文24:Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data混合时空图卷积网络:利用导航数据改进流量预测

作者:Rui Dai,Shenkun Xu,Qian Gu,Chenguang Ji,Kaikui Liu

论文25:Attention and Memory-Augmented Networks for Dual-View Sequential Learning双视序列学习的注意记忆增强网络

作者:Yong He,Cheng Wang,Nan Li,Zhenyu Zeng

NO.2 百度

KDD2020 中,百度发表论文数 9,占比 2.6%

论文1:Competitive Analysis for Points of Interest兴趣点的竞争分析

作者:Shuangli Li,Jingbo Zhou,Hao Liu,Xinjiang Lu,Tong Xu,Hui Xiong

论文2:Geodemographic Influence Maximization地理人口统计影响力最大化

作者:Kaichen Zhang,Jingbo Zhou,Donglai Tao,Panagiotis Karras,Qing Li,Hui Xiong

论文3:Combo-Attention Network for Baidu Video Advertising百度视频广告组合注意力网络

作者:Tan Yu,Yi Yang,Yi Li,Xiaodong Chen,Mingming Sun,Ping Li

论文4:Dual Channel Hypergraph Collaborative Filtering双通道超图协同过滤

作者:Shuyi Ji,Yifan Feng,Rongrong Ji,Xibin Zhao,Wanwan Tang,Yue Gao

论文5:Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning基于集体学习的移动App用户界面模块智能化探索

作者:Jingbo Zhou,Zhenwei Tang,Min Zhao,Xiang Ge,Fuzheng Zhuang,Meng Zhou,Liming Zou,Chenglei Yang,Hui Xiong

论文6:Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine

Polestar:一个智能、高效、全国性的公共交通路径引擎

作者:Hao Liu,Ying Li,Yanjie Fu,Huaibo Mei,Jingbo Zhou,Xu Ma,Hui Xiong

论文7:Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps百度地图搜索引擎中POI自动完成的个性化前缀嵌入

作者:Jizhou Huang,Haifeng Wang,Miao Fan,An Zhuo,Ying Li

论文8:ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps

ConSTGAT:百度地图针对出行时间估计的上下文时空图注意力网络

作者:Xiaomin Fang,Jizhou Huang,Fan Wang,Lingke Zeng,Haijin Liang,Haifeng Wang

论文9:Local Community Detection in Multiple Networks多网络中的局部社区检测

作者:Dongsheng Luo,Yuchen Bian,Yaowei Yan,Xiao Liu,Jun Huan,Xiang Zhang

NO.3 腾讯

KDD2020 中,腾讯发表论文数 10,占比 2.9%

论文1:TranSlider: Transfer Ensemble Learning from Exploitation to Exploration TranSlider:从开发至探索的迁移集成学习

作者:Kuo Zhong,Ying Wei,Chun Yuan,Haoli Bai,Junzhou Huang

论文2:Adversarial Infidelity Learning for Model Interpretation模型解释中的对抗不忠学习

作者:Laing Jian,Bai Bing,Cao Yuren,Bai Kun,Wang Fei

论文3:General-Purpose User Embeddings based on Mobile App Usage基于移动App使用的通用用户嵌入

作者:Zhang Junqi,Bai Bing,Lin Ye,Liang Jian,Bai Kun,Wang Fei

论文4:INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare INPREM:一个可解释且可信的医疗保健预测模型

作者:Xianli Zhang,Buyue Qian,Shilei Cao,Yang Li,Hang Chen,Yefeng Zheng,Ian Davidson

论文5:ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

ASGN:分子性质预测的主动半监督图神经网络

作者:Zhongkai Hao,Chengqiang Lu,Zhengya Huang,Hao Wang,Zheyuan Hu,Qi Liu,Enhong Chen,Cheekong Lee

论文6:Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning脆弱性与可靠性:跨模式学习的分离对抗性实例

作者:Chao Li,Haoteng Tang,Cheng Deng,Liang Zhan,Wei Liu

论文7:Meta-Learning for Query Conceptualization at Web Scale面向网络规模查询概念化的元学习

作者:Fred X. Ha,Di Niu,Haolan Chen,Weidong Guo,Shengli Yan,Bowei Long

论文8:A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation一种请求级保证交付的广告规划:预测与分配

作者:Hong Zhang,Lan Zhang,Lan Xu,Xiaoyang Ma,Zhengtao Wu,Cong Tang,Wei Xu,Yiguo Yang

论文9:A Block Decomposition Algorithm for Sparse Optimization稀疏优化的块分解算法

作者:Ganzhao Yuan,Li Shen,Weishi Zheng

论文10:Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning一枚硬币的两面性:迁移学习的白盒攻击和黑盒攻击

作者:Yinghua Zhang,Yangqiu Song,Jian Liang,Kun Bai,Qiang Yang

NO.4 滴滴

KDD2020 中,滴滴发表论文数 6,占比 1.8%

论文1:Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction用于实时事件预测的动态异构图神经网络

作者:Wenjuan Luo,Han Zhang,Xiaodi Yang,Lin Bo,Xiaoqing Yang,Zang Li,Xiaohu Qie,Jieping Ye

论文2:Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time打造面向客户服务的智能聊天机器人:学会适时响应

作者:Che Liu,Junfeng Jiang,Chao Xiong,Yi Yang,Jieping Ye

论文3:HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival

HetETA:用于估算到达时间的异构信息网络嵌入

作者:Huiting Hong,Yucheng Lin,Xiaoqing Yang,Zang Li ,Jieping Ye ,Kun Fu,Zheng Wang,Xiaohu Qie

论文4:CompactETA: A Fast Inference System for Travel Time Prediction

CompactETA:旅行时间预测的快速推理系统

作者:Kun Fu,Fanlin Meng,Jieping Ye,Zheng Wang

论文5:Gemini: A novel and universal heterogeneous graph information fusing framework for online recommendations

Gemini:一个新颖的通用异构图信息融合框架

作者:Jixing Xu,Zhenlong Zhu,Jianxin Zhao,Xuanye Liu,Minghui Shan,Jiecheng Guo

论文6:Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy共享单车经济条件下大型团体比赛的个人治疗效果预测

作者:Teng Ye,Wei Ai,Lingyu Zhan,Ning Luo,Lulu Zhang,Jieping Ye,Qiaozhu Mei

NO.5 华为

KDD2020 中,华为发表论文数 6,占比 1.8%

论文1:Neural Subgraph Isomorphism Counting神经子图同构计数

作者:Liu Xin,Pan Haojie,He Mutian,Song Yangqiu,Jiang Xin

论文2:Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation

Top-K推荐中基于自适应裕度的概率度量学习

作者:Chen Ma,Liheng Ma,Yingxue Zhang,Ruiming Tang ,Xue LiuXue Liu,Mark Coates

论文3:Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks基于深度卷积神经网络的蜂窝网络无线传播建模

作者:Xin Zhang,Xiujun Shu,Bingwen Zhang,Jie Ren,Lizhou Zhou,Xin Chen

论文4:Stable Learning via Differentiated Variable Decorrelation基于差分变量去相关的稳定学习

作者:Zheyean Shen,Peng Cui,Jiashuo Liu,Tong Zhang,Bo Li,Zhitang Chen

论文5:A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks一种基于贝叶斯图卷积神经网络的精确多样推荐框架

作者:Jianing Sun,Wei Guo,Dengcheng Zhang,Yingxue Zhang,Florence Robert-Regol,Yaochen Hu,Huifeng Guo,Ruiming Tang,Han Yuan,Xiuqiang He,Mark Coates

论文6:WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams

WavingSketch:在数据流中查找Top-k项的无偏通用草图

作者:Jizhou Li,Zikun Li,Yifei Xu,Shiqi Jiang,Tong Yang,Bin Cui,Yafei Dai,Gong Zhang

NO.6 京东

KDD2020 中,京东发表论文数 6,占比 1.8%

论文1:CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data

CAST:一种基于相关性的多尺度数据自适应谱聚类算法

作者:Li Xiang,Kao Ben,Shan Caihua,Yin Dawei,Ester Martin

论文2:AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction

AutoST:时空预测的有效神经结构搜索

作者:Ting Li,Junbo Zhang,Kainan Bao,Yuxuan Liang,Yexin Li,Yu ZhengYu Zheng

论文3:Faster Secure Data Mining via Distributed Homomorphic Encryption基于分布式同态加密的快速安全数据挖掘

作者:Junyi Li,Heng Huang

论文4:Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data垂直分区数据的联邦双随机核学习

作者:Bin Gu,Zhiyuan Dang,Xiang Li,Heng Huang

论文5:Doing in One Go: Delivered Time Inference Based on Coueriers' Trajectories一次性完成:基于Couerier轨迹的交付时间推断

作者:Sijie Ruan,Zi Xiong,Cheng Long,Yiheng Chen,Jie Bao,Tianfu He,Ruiyuan Li ,Shengnan Wu,Zhongyuan Jiang,Yu Zheng

论文6:Category-Specific CNN for Visual-aware CTR Prediction at JD.com京东用于视觉感知CTR预测的类别特定CNN

作者:Hu Liu,Jing Lu,Hao Yang,Xiwei Zhao,Sulong Xu,Hao Peng,Zehua Zhang,Wenjie Niu,Xiaokun Zhu,Yongjun Bao,Weipeng Yan

NO.7 联想

KDD2020 中,联想发表论文数 3,占比 0.9%

论文1:ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification

ST-siamenet:用于人类移动特征识别的时空暹罗网络

作者:Huimin Ren,Menghai Pan,Yanhua Li,Xun Zhou,Jun Luo

论文2:xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis

xGAIL:用于可解释的人类决策分析的可解释生成对抗模仿学习

作者:Menghai Pan,Weixiao Huang,Yanhua Li,Xun Zhou,Jun Luo

论文3:Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks

Curb-GAN:基于时空生成对抗网络的有条件城市交通量估计

作者:Yingxue Zhang,Yanhua Li,Xun Zhou,Xiangnan Kong,Jun Luo

根据官方信息,KDD2020 主席、执行委员会和组委会决定将本年度会议完全虚拟化,接下来的几周官方会公布更多的议程和计划细节。

注册现已开放,敬请关注 2020 年 8 月 23 日至 27 日的所有直播和点播安排。

官网链接:https://www.kdd.org/kdd2020/

学术头条与你一起相约KDD2020!

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