KDD

Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow

Wenjun Zeng, Yi Liu

Comments Accepted by 2021 KDD Multi-Armed Bandits and Reinforcement Learning Workshop: https://sites.google.com/view/marble-kdd

Towards Semantic Search for Community Question Answering for Mortgage Officers

Amir Reza Rahmani, Linwei Li, Brian Vanover, Colin Bertrand, Shourabh Rawat

Comments Presented on Document Intelligence Workshop at KDD (2021). Also available at https://document-intelligence.github.io/DI-2021/files/di-2021_final_17.pdf

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation

Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng

Comments 10 pages, under review of SIGKDD-2022

A Framework for Multi-stage Bonus Allocation in meal delivery Platform

Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun

Comments 9 pages; submit to KDD 2022

Surf or sleep? Understanding the influence of bedtime patterns on campus

Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia

Comments 10 pages. ACM SIGKDD Explorations, Dec 2021

DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis

Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer

Comments 13 pages, 2 figures, This work has been accepted by the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2022)

Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation

Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora

Comments 9 pages, Submitted to SIGKDD in Feb 2022

Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace

Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu

Comments submitted to KDD'22

FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling

Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie

Comments Submitted to KDD 2022

Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization

Adrianna Janik, Kris Sankaran

Comments KDD'19, Workshop Explainable AI/ML (XAI) for Accountability, Fairness, and Transparency, August 04-08, 2019, Anchorage, AK, USA

Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets

Jiajun Liu, Kun Zhao, Brano Kusy, Ji-rong Wen, Raja Jurdak

Comments a submission to kdd 15'

Analyzing Who and What Appears in a Decade of US Cable TV News

James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian

Comments Published in KDD 2021 as "Analysis of Faces in a Decade of US Cable TV News". ArXiv draft: 14 pages, 22 figures (15 pages, 16 figures in supplemental materials)

Lead-lag detection and network clustering for multivariate time series with an application to the US equity market

Stefanos Bennett, Mihai Cucuringu, Gesine Reinert

Comments 29 pages, 28 figures; preliminary version appeared at KDD 2021 - 7th SIGKKDD Workshop on Mining and Learning from Time Series (MiLeTS)

Beyond modeling: NLP Pipeline for efficient environmental policy analysis

Jordi Planas, Daniel Firebanks-Quevedo, Galina Naydenova, Ramansh Sharma, Cristina Taylor, Kathleen Buckingham, Rong Fang

Comments Accepted at Fragile Earth workshop proceedings at KDD 2021

Data-Efficient Information Extraction from Form-Like Documents

Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie

Comments Published at the 2nd Document Intelligence Workshop @ KDD 2021 (https://document-intelligence.github.io/DI-2021/)

Uncovering the Source of Machine Bias

Xiyang Hu, Yan Huang, Beibei Li, Tian Lu

Comments accepted by KDD 2021, MLCM workshop

Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering

Cheng Feng, Pengwei Tian

Comments Appeared in KDD 2021

Journal ref KDD 2021

PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability

Sílvia Casacuberta, Esra Suel, Seth Flaxman

Journal ref Responsible AI and DeepSpatial workshops at the 27th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)

Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks

Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang

Comments KDD 2021 research track

TopNet: Learning from Neural Topic Model to Generate Long Stories

Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun

Comments KDD2021, 9 pages

Journal ref Yang, Yazheng, Boyuan Pan, Deng Cai, and Huan Sun. "TopNet: Learning from Neural Topic Model to Generate Long Stories." In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 1997-2005. 2021

Adversarial Attacks on Neural Networks for Graph Data

Daniel Zügner, Amir Akbarnejad, Stephan Günnemann

Comments Accepted as a full paper at KDD 2018 on May 6, 2018

Journal ref Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, pp. 2847-2856

Application of Deep Reinforcement Learning to Payment Fraud

Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama

Comments Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond at KDD 2021

Modeling Protein Using Large-scale Pretrain Language Model

Yijia Xiao, Jiezhong Qiu, Ziang Li, Chang-Yu Hsieh, Jie Tang

Comments Accepted paper in Pretrain@KDD 2021 (The International Workshop on Pretraining: Algorithms, Architectures, and Applications)

Contextual Bandit Applications in Customer Support Bot

Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen

Comments in KDD 2021

Journal ref KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (August 2021) Pages 3522-3530

Fed2: Feature-Aligned Federated Learning

Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

Comments Accepted in KDD 2021

CHARTER: heatmap-based multi-type chart data extraction

Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky

Comments Joseph Shtok, Sivan Harary and Leonid Karlinsky had equal contribution

Journal ref Document Intelligence workshop at KDD 2021 conference

Approximate Graph Propagation

Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

Comments ACM SIGKDD 2021

TDGIA:Effective Injection Attacks on Graph Neural Networks

Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang

Comments KDD 2021 research track paper

Controllable Generation from Pre-trained Language Models via Inverse Prompting

Xu Zou, Da Yin, Qingyang Zhong, Ming Ding, Hongxia Yang, Zhilin Yang, Jie Tang

Comments Slightly different from the KDD version

OpenBox: A Generalized Black-box Optimization Service

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui

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