KDD

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang

Comments Accepted by the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)

What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data

Charbel Merhej, Ryan Beal, Sarvapali Ramchurn, Tim Matthews

Comments 10 pages, 7 figures, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21), August 14--18, 2021, Virtual Event, Singapore

JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu

Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong

Comments Accepted to SIGKDD 2021 applied data science track

Cross-Network Learning with Partially Aligned Graph Convolutional Networks

Meng Jiang

Comments 9 pages, 8 figures, KDD 2021

Subset Node Representation Learning over Large Dynamic Graphs

Xingzhi Guo, Baojian Zhou, Steven Skiena

Comments 9 pages + 2 pages supplement, accepted to 2021 ACM SIGKDD

Why Attentions May Not Be Interpretable?

Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang

Comments Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

Comments Accepted by KDD-21

Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance

Neil G. Marchant, Benjamin I. P. Rubinstein

Comments 30 pages, 8 figures, updated to match version accepted for publication at KDD'21

Predicting COVID-19 Spread from Large-Scale Mobility Data

Amray Schwabe, Joel Persson, Stefan Feuerriegel

Comments 9 pages, 3 figures. Accepted for publication in KDD '21: 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition

Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang

Comments KDD 2021

Large-Scale Data-Driven Airline Market Influence Maximization

Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park

Comments Accepted by KDD 2021

ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations

Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park

Comments Accepted by KDD 2021

Large-Scale Subspace Clustering via k-Factorization

Jicong Fan

Comments Accepted to KDD'21

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control

Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong

Comments Accepted by KDD'21

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu

Comments Accepted by KDD 2021

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging

Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang

Comments KDD 2021

M6: A Chinese Multimodal Pretrainer

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

Comments 12 pages, technical report. Extension of paper "M6" accepted to KDD 2021

Leveraging Latent Features for Local Explanations

Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun-Chen Tu

Comments Accepted to KDD 2021

Pruning-Aware Merging for Efficient Multitask Inference

Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele

Comments Accepted to KDD'21 as research track paper

Incorporating prior financial domain knowledge into neural networks for implied volatility surface prediction

Yu Zheng, Yongxin Yang, Bowei Chen

Comments 8 pages, SIGKDD 2021

Assessing The Factual Accuracy of Generated Text

Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J Liu

Journal ref The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19), August 4--8, 2019, Anchorage, AK, USA

Deconfounded Recommendation for Alleviating Bias Amplification

Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua

Journal ref Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discoveryand Data Mining (KDD 2021)

Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism

Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney

Comments 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)

Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries

Sukhdeep S. Sodhi, Ellie Ka-In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra

Comments Accepted in KDD 2021

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Xiao Wang, Nian Liu, Hui Han, Chuan Shi

Comments This paper has been accepted by KDD 2021

Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach

Junhao Hua, Ling Yan, Huan Xu, Cheng Yang

Comments 10 pages, 7 figures, accepted to KDD'21

Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours

Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu

Comments KDD'2021 (Accepted)

Journal ref ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2021

Using Transformer based Ensemble Learning to classify Scientific Articles

Sohom Ghosh, Ankush Chopra

Comments 8 pages, 3 tables, 1 figure, Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science, Springer

Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks

Yunwen Chen, Zuotao Liu, Daqi Ji, Yingwei Xin, Wenguang Wang, Lu Yao, Yi Zou

Comments KDD 2012

A unified Neural Network Approach to E-CommerceRelevance Learning

Yunjiang Jiang, Yue Shang, Rui Li, Wen-Yun Yang, Guoyu Tang, Chaoyi Ma, Yun Xiao, Eric Zhao

Comments 6 pages

Journal ref DLP-KDD 2019