Program 19 September 2023

(K1) Keynote 1: Max Welling

Time: 9:00 – 10:00

Room: Fucine

Chair: Gianmarco De Francisci Morales

Speaker: Max Welling

Title: Neural Wave Representation

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(P1) Plenary 1: Best Paper Awards

Time: 10:30 – 12:30

Room: Fucine

Chair: Katharina Morik

Poster session: 19 September

Authors	Paper	Track
Kendrick Boyd, Kevin H. Eng, C. David Page	Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals (Test of Time Award – from ECML PKDD 2013)	Research
Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang	Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks (ADS Track – Best Student Paper – Sponsored by Data Mining and Knowledge Discovery Journal)	ADS
Felix Gail, Roland Rieke, Florian Fenzl	RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet (ADS Track – Best paper)	ADS
Bastien Dussap, Gilles Blanchard, Badr-Eddine Chérief-Abdellatif	Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching (RT Track – Best Student Paper – Sponsored by Machine Learning Journal)	Research
Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer	Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (RT Track – Best paper)	Research

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(S1-Fucine) Deep Learning Theory

Time: 14:00 – 16:00

Room: Fucine

Chair: Timilehin Aderinola

Poster session: 19 September

Authors	Paper	Track
Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong	Efficient Hyperdimensional Computing	Research
Weipeng Fuzzy Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao	Rényi Divergence Deep Mutual Learning	Research
Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban	Is my Neural Net driven by the MDL Principle?	Research
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj	Learning distinct features helps, provably	Research
Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith	Continuous Depth Recurrent Neural Differential Equations	Research
Riccardo Schiavone, Francesco Galati, Maria A. Zuluaga	Binary domain generalization for sparsifying binary neural networks	Research

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(S1-Binario3) Graphs 1

Time: 14:00 – 16:00

Room: Binario 3

Chair: Pascal Welke

Poster session: 19 September

Authors	Paper	Track
William Shiao, Benjamin A. Miller, Kevin Chan, Paul Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis	TenGAN: Generating Multiplex Tensor Graphs	Journal
Fanchen Bu, Geon Lee and Kijung Shin	Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications	Journal
Manh Tuan Do and Kijung Shin	Improving the Core Resilience of Real-world Hypergraphs	Journal
Jakir Hossain, Sucheta Soundarajan, Ahmet Erdem Sariyüce	Quantifying Node-based Core Resilience	Research
Danylo Honcharov, Ahmet Erdem Sariyüce, Ricky Laishram, Sucheta Soundarajan	Skeletal cores and graph resilience	Research
Fanchen Bu, Shinhwan Kang, Kijung Shin	Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm	Journal

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(S1-A1i) Information Retrieval

Time: 14:00 – 16:00

Room: A1i

Chair: Fabrizio Silvestri

Poster session: 19 September

Authors	Paper	Track
Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao	PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving	ADS
Yihao Ding, Siwen Luo, Hyunsuk Chung, Soyeon Caren Han	PDF-VQA: A New Dataset for Real-World VQA on PDF Documents	ADS
Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Gangwar, Sriparna Saha	Aspect-based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion	ADS
Madhav Khirwar, Karthik S Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally	Cooperative Multi-Agent Reinforcement Learning for Inventory Management	ADS
Rishabh Upadhyay, Gabriella Pasi, Marco Viviani	A Passage Retrieval Transformer-based Re-ranking Model for Truthful Consumer Health Search	Reasearch
Ming He, Jiwen Wang, Boyang An, Hao Wen	Prototype-Guided Counterfactual Explanations via Variational Auto-Encoder for Recommendation	ADS

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(S1-A3i) Mobility 1

Time: 14:00 – 16:00

Room: A3i

Chair: Slawomir Nowaczyk

Poster session: 19 September

Authors	Paper	Track
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim	Continually learning out-of-distribution spatiotemporal data for robust energy forecasting	ADS
Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo	Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations	ADS
Wenyu Wu, Wenyi Shen, Jiali Mao, Lisheng Zhao, Shaosheng Cao, Aoying Zhou, Lin Zhou	PICT: Precision-enhanced Road Intersection Recognition using Cycling Trajectories	ADS
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei	FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph	ADS
Hadi Hojjati, Mohammadreza Sadeghi, Narges Armanfard	Multivariate Time-Series Anomaly Detection with Temporal Self-Supervision and Graphs: Application to Vehicle Failure Prediction	ADS
John Pavlopoulos, Alv Romell, Jacob Curman, lof Steinert, Tony Lindgren, Markus Borg, and Korbinian Randl,	Automotive Fault Nowcasting with Machine Learning and Natural Language Processing	ADS

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(S1-A5i) Clustering 1

Time: 14:00 – 16:00

Room: A5i

Chair: Paolo Garza

Poster session: 19 September

Authors	Paper	Track
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher	Powered Dirichlet Process – Controlling the “Rich-Get-Richer” Assumption in Bayesian Clustering	Research
Michał Znaleźniak, Przemysław Rola, Patryk Kaszuba, Jacek Tabor, Marek Śmieja	Contrastive Hierarchical Clustering	Research
Yimei Zheng, Caiyan Jia, Jian Yu	Contrastive Learning with Cluster-preserving Augmentation for Attributed Graph Clustering	Research
Mauritius Klein, Collin Leiber, Christian Böhm	k-SubMix: Common Subspace Clustering on Mixed-Type Data	Research
Mingyu Zhao, Weidong Yang, Feiping Nie	Transformer-based Contrastive Multi-view Clustering via Ensembles	Research
Giulia Marchello, Marco Corneli, Charles Bouveyron	A Deep Dynamic Latent Block Model for the Co-clustering of Zero-Inflated Data Matrices	Research

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(S1-A7i) Time Series 1

Time: 14:00 – 16:00

Room: A7i

Chair: Claudio Gallicchio

Poster session: 19 September

Authors	Paper	Track
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi	Deep Imbalanced Time-series Forecasting via Local Discrepancy Density	Research
Amal Saadallah, Matthias Jakobs	Online Deep Hybrid Ensemble Learning for Time Series Forecasting	Research
Zhuoqun Li, Mingxuan Sun	Sparse Transformer Hawkes Process for Long Event Sequences	Research
Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, Yabo Dong	Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification	Research
Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel	Estimating Dynamic Time Warping Distance Between Time Series with Missing Data	Research
Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang	Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series	Research

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(S1-A9i) Reinforcement Learning 1

Time: 14:00 – 16:00

Room: A9i

Chair: Sebastian Tschiatschek

Poster session: 19 September

Authors	Paper	Track
Jie Dai, Xuguang Chen	On the Distributional Convergence of Temporal Difference Learning	Research
Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist	Offline Reinforcement Learning with On-Policy Q-Function Regularization	Research
Arpan Dasgupta, Pawan Kumar	Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix Decomposition	Research
Jan Wöhlke, Felix Schmitt, Herke van Hoof	Learning Hierarchical Planning-Based Policies from Offline Data	Research
Luca Sabbioni, Francesco Corda, Marcello Restelli	Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes	Research
Nam Phuong Tran, Long Tran-Thanh	Invariant Lipschitz Bandits: A Side Observation Approach	Research

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(S1-A11i) Image Processing & Computer Vision 1

Time: 14:00 – 16:00

Room: A11i

Chair: Elisa Fromont

Poster session: 19 September

Authors	Paper	Track
Wenkai Chen, Chuang Zhu, Mengting Li	Sample Prior Guided Robust Model Learning to Suppress Noisy Labels	Research
Yu Zhang, Chuang Zhu, Guoqing Yang, Siqi Chen	Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection	Research
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang	Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks	Research
Qiqi Zhou, Yichen Zhu	Make A Long Image Short: Adaptive Token Length for Vision Transformers	Research
Dan Yao, Zhixin Li	Graph Rebasing and Joint Similarity Reconstruction for cross-modal hash retrieval	Research
Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao	ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification	Research

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(S2-Fucine) Natural Language Processing 1

Time: 16:30 – 18:30

Room: Fucine

Chair: Andrea Tagarelli

Poster session: 19 September

Authors	Paper	Track
Chuanyu Jiang, Yiming Qian, Lijun Chen, Yang Gu, Xia Xie	Unsupervised Deep Cross-Language Entity Alignment	Research
Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han	Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns	Research
Weichen Li, Rati Devidze, Sophie Fellenz	Learning to play text-based adventure games with maximum entropy reinforcement learning	Research
Haotian Chen, Han Zhang, Houjing Guo, Shuchang Yi, Bingsheng Chen, Xiangdong Zhou	SALAS: Supervised Aspect Learning Improves Abstractive Multi-Document Summarization through Aspect Information Loss	Research
Neeraj Kumar, Ankur Narang, Brejesh Lall	KL Regularized Normalization Framework for Low Resource Tasks	Research
Victor Agostinelli, Lizhong Chen	Improving Autoregressive NLP Tasks via Modular Linearized Attention	Research

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(S2-Binario3) Graph Neural Networks 1

Time: 16:30 – 18:30

Room: Binario 3

Chair: Maximilian Thiessen

Poster session: 19 September

Authors	Paper	Track
Wei Zhao, Federico Lopez, J. Maxwell Riestenberg, Michael Strube, Diaaeldin Taha, Steve Trettel	Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices	Research
Xugang Wu, Huijun Wu, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu	Leveraging Free Labels to Power Up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study	Research
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Adesoji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis	Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs	Research
Georgios Katsimpras, Georgios Paliouras	Improving Graph Neural Networks by Combining Active Learning with Self-Training	Journal
Atefeh Moradan, Andrew Alexander Draganov, Davide Mottin, Ira Assent	UCoDe: Unified Community Detection with Graph Convolutional Networks	Journal
Zhiqiang Zhong, Cheng-Te Li, Jun Pang	Personalised Meta-path Generation for Heterogeneous Graph Neural Networks	Journal

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(S2-A1i) Recommender Systems

Time: 16:30 – 18:30

Room: A1i

Chair: Xingquan Zhu

Poster session: 19 September

Authors	Paper	Track
Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin	Future Augmentation with Self-Distillation in Recommendation	ADS
Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao	A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation	ADS
Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen	ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation	Research
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou	Long-tail Augmented Graph Contrastive Learning for Recommendation	Research
Pengyu Zhao, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Yonggang Huang	News Recommendation via Jointly Modeling Event Matching and Style Matching	Research
Harshit Mishra, Sucheta Soundarajan	BalancedQR : A framework for balanced query recommendation	Research

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(S2-A3i) Finance and Fraud Detection

Time: 16:30 – 18:30

Room: A3i

Chair: Lorenzo Severin

Poster session: 19 September

Authors	Paper	Track
Boqian Wu, Benmeng Lyu, Jiawen Gu	Weighted Multivariate Mean Reversion for Online Portfolio Selection	Research
Yongxin Yang, Timothy M. Hospedales	On Calibration of Mathematical Finance Models by Hypernetworks	ADS
Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou	BCAD: An Interpretable Anomaly Transaction Detection System based on Behavior Consistency	ADS
Tommaso Paladini, Martino Bernasconi de Luca, Michele Carminati, Mario Polino, Francesco Trovò, Stefano Zanero	Advancing Fraud Detection Systems through Online Learning	ADS
Jiho Choi, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung	PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels	ADS
Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron	Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement	ADS

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(S2-A5i) Clustering 2

Time: 16:30 – 18:30

Room: A5i

Chair: Khalid Benabdeslem

Poster session: 19 September

Authors	Paper	Track
Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli	A Combinatorial Multi-Armed Bandit Approach to Correlation Clustering	Journal
Richard Leibrandt, Stephan Günnemann	Generalized Density Attractor Clustering for Incomplete Data	Journal
Marco Loog, Jesse Krijthe, Manuele Bicego	Also for k-Means: More Data Does Not Imply Better Performance	Journal
Corey J. Nolet, Divye Gala, Alex Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates	cuSLINK: Single-Linkage Agglomerative Clustering on the GPU	Research
Sruthi Gorantla, Kishen N. Gowda, Amit Deshpande, Anand Louis	Socially Fair Center-based and Linear Subspace Clustering	Research
Thibault Marette, Pauli Miettinen, Stefan Neumann	Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations	Research

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(S2-A7i) Time Series 2

Time: 16:30 – 18:30

Room: A7i

Chair: Michelangelo Ceci

Poster session: 19 September

Authors	Paper	Track
Rakshitha Wathsadini Godahewa,Geoffrey I. Webb, Daniel Schmidt, Christoph Bergmeir	SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting	Journal
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim	Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification	Journal
Zed Lee, Tony Lindgren and Panagiotis Papapetrou	Z-Time: Efficient and Effective Interpretable Multivariate Time Series Classification	Journal
Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee	Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses	ADS
Yuzhou Chen, Tian Jiang, Yulia R. Gel	H2-Nets: Hyper-Hodge Convolutional Neural Networks for Time-series Forecasting	Research
Cassio F. Dantas, Thalita F Drumond, Diego Marcos, Dino Ienco	Counterfactual explanations for remote sensing time series data: an application to land cover classification	ADS

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(S2-A9i) Health & Bio 1

Time: 16:30 – 18:30

Room: A9i

Chair: Myra Spiliopoulou

Poster session: 19 September

Authors	Paper	Track
Paolo Viviani, Ilaria Gesmundo, Elios Ghinato, Andres Agudelo-Toro, Chiara Vercellino, Giacomo Vitali, Letizia Bergamasco, Alberto Scionti, Marco Ghislieri, Valentina Agostini, Olivier Terzo, Hansjörg Scherberger	Deep Learning for real-time neural decoding of grasp	ADS
Jiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu	MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction	ADS
Cheng Tan, Zhangyang Gao, Stan Z. Li	Target-aware molecular graph generation	ADS
Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno Yepes	Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs	ADS
Wei Sun, Shaoxiong Ji, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko, Pekka Marttinen, Miika Koskinen	Weak Supervision and Clustering-based Sample Selection for Clinical Named Entity Recognition	ADS
Xiao Yuan	BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification	ADS

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(S2-A11i) Outliers & Anomaly Detection

Time: 16:30 – 18:30

Room: A11i

Chair: Lu-An Tang

Poster session: 19 September

Authors	Paper	Track
Chaoxi Niu, Guansong Pang, Ling Chen	Graph-level Anomaly Detection via Hierarchical Memory Networks	Research
Jindong Li, Qianli Xing, Qi Wang, Yi Chang	CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection	Research
Timo Martens, Lorenzo Perini, Jesse Davis	Semi-Supervised Learning from Active Noisy Soft Labels for Anomaly Detection	Research
Anastasiia Sedova, Lena Zellinger, Benjamin Roth	Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal	Research
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu	DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection	Research
Jingrui Zhang, Ninh Pham, Gillian Dobbie	A Transductive Forest for Anomaly Detection with Few Labels	Research