Preprints 2025

Applied Data Science Track

Fostering Responsibility in Email Marketing: A Contextual Restless Bandit Framework

Ibtihal EL MIMOUNI, Konstantin AVRACHENKOV

Do Protein Transformers Have Biological Intelligence?

Fudong Lin, Wanrou Du, Jinchan Liu, Tarikul Milon, Shelby Meche, Wu Xu, Xiaoqi Qin, Xu Yuan

On Identifying Fast Road Races: Decomposing Race Conditions and Individual Performance Level

Klaus Brinker

Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation

Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lars SchmidtThieme

Contextual Hypernetwork for Adaptive Prediction of Laser-Induced Colors on Quasi-Random Plasmonic Metasurfaces

Thibault GIRARDIN, Nathalie Destouches, Amaury Habrard

Supply Framework of Physical Machine Demand in Elastic Computing Service

Zhanyu Liu, Xudong Zhang, Zhidong Hu, Xiejing Li, Fei Peng, Jian Zhou, Siyu Deng, Guanjie Zheng

RAID: Root cause Anomaly Identification and Diagnosis

Joël Ky, Bertrand Mathieu, Abdelkader Lahmadi, Minqi Wang, Nicolas Marrot, Raouf Boutaba

Understanding Rumen Methanogen Interactions in Sheep Using Machine Learning

Katharina Dost, Steffen Albrecht, Paul Maclean, Jörg Wicker, Sandeep K Gupta

ActiveVisium: Leveraging Active Learning to Enhance Manual Pathologist Annotation in 10x Visium Spatial Transcriptomics Experiments

Jelica Vasiljeivc, Ines Berenguer Veiga, Kerstin Hahn, Petra Schwalie, Alberto Valdeolivas

Iterative Corpus Refinement for Materials Property Prediction Based on Scientific Texts

Lei Zhang, Markus Stricker

Continuous Learning of Ordinal User Preferences on Wearable Devices

Simon Weinberger, Jairo Cugliari, Aurélie Le Cain

Low Visibility Forecasting Using Numerical Weather Prediction Data

Topon Paul, Vidhisha Reddy Pvt Ltd, Sai Prem Kumar Ayyagari Pvt Ltd, Ryusei Shingaki, Kaneharu Nishino, Yoshiaki Shiga

Ordinal Aligned Domain Generalization for Sensor-based Time Series Regression

Yunchuan Shi, Wei Li, Albert Zomaya

Legend-Informed Symbol Recognition in Engineering Diagrams with Self-Supervised Learning

Antonia Hain, Simon Gölzhäuser, Nicolas Réhault, Thomas Brox, Matthias Demant

Forecasting Irregularly Sampled Time Series with Transformer Encoders

Riccardo Benassi, Francesco Del Buono, Giacomo Guiduzzi, Francesco Guerra

Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source Communities

Xin Liu, Hang Su, Xuesong Lu

Text Mining from Migration Narratives

David ING, Fabien Delorme, Said Jabbour, Nelly Robin, Lakhdar Sais

A Benchmark to Evaluate LLMs’ Proficiency on Italian Student Competencies

Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Antonio Serino, Andrea Seveso

Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics

Pascal Plettenberg, André Alcalde, Bernhard Sick, Josephine Thomas

Sequential Rule Analysis of ICU Patient Vital Signals and Alarms

Michela Venturini, Len Feremans, Wouter De Corte, Celine Vens

Enhancing Detection of Leishmania spp. Amastigotes in Canine Lymph Node Smear Images: Evaluating the Effectiveness of Synthetic Data in Augmenting Existing Datasets

Dimitrios Tsikos, Irene Chatzipanagiotidou, Dimitris Dimitriadis, Constantina Tsokana, George Valiakos, Labrini Athanasiou, Grigorios Tsoumakas

A Scalable Approach for Unified Large Events Models in Soccer

Tiago MendesNeves, Luís Meireles, João MendesMoreira

TIDS: A Thermal Imaging Dataset for Subclinical Mastitis in Dairy Sheep

George Mpotsoglou, Marios Lysitsas, Dimitris Dimitriadis, Constantina Tsokana, George Valiakos, Grigorios Tsoumakas

Density-aware Walks for Coordinated Campaign Detection

Atul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas, A Erdem Sariyuce

Graph Neural Networks for Jamming Source Localization

Dania Herzalla, Willian Tessaro Lunardi, Martin Andreoni

Urban Verticalization and Water Consumption: A Data-Driven approach for São Paulo

Arthur Rezende, André Carvalho

Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection

Ricardo Pereira, Jacopo Bono, Hugo Ferreira, Pedro Bizarro, Carlos Soares, Pedro Ribeiro

A Dynamic Ensemble and Replaying Model for Online Marine Observation Data Prediction

Xiang Li, Xi Fu, Congqi Lin, Xiangkai Wang, Yuhang Zhang, Hao Wang, Zhigang Zhao, Meihong Yang, Yinglong Wang

Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning

Gabriel Pinheiro, Marcos Quiles, Juarez Da Silva, Xiaoli Fern

Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble

HanJun Choi, Hyunsung Kim, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, SangKi Ko

TempoBiGen: A Curated Generative Model for Healthcare Mobility Logs with Visit Duration

Hieu Vu, Alberto Segre, Bijaya Adhikari

Fourier-Enhanced Adaptive Manifold Latent Feature Analysis for Spatiotemporal Signal Recovery

yuting ding, jianyong zheng, fei mei, ang gao

From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images

Sebastian Hönel, Jonas Nordqvist

Research Track

UCB-driven Utility Function Search for Multi-objective Reinforcement Learning

Yucheng Shi, David Lynch, Alexandros Agapitos

Unimodal Strategies in Density-Based Clustering

Oron Nir, Jay Tenenbaum, Ariel Shamir

Unsupervised Surrogate Anomaly Detection

Simon Klüttermann, Tim Katzke, Emmanuel Müller

RandomAD: A Random Kernel-based Anomaly Detector for Time Series

Wenjie Xi, Jessica Lin

Federated Time Series Generation on Feature and Temporally Misaligned Data

Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Chen

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack

Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan

Analyzing and Correcting Biased Machine Learning-Based Tuning of Weight Shrinkage in Forecast Combination

Veronika Wachslander

Gx2Mol: De Novo Generation of Hit-like Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

ST-LoRA: Low-rank Adaptation for Spatio-temporal Forecasting

Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang

Community-Aware Graph Transformer: Preserving Community Semantics for Effective Global Aggregation

Yutai Duan, jie liu, jianhua wu, jialin liu

Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing

Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin ASTAR Singapore, Hengyu Liu, Ge Yu

Single-fold Distillation for Diffusion models

Chi HONG, Jiyue Huang, Robert Birke, Dick Epema, Stefanie Roos, Lydia Y Chen

Inconsistent Reasoning Attacks to Identify Weaknesses in Automatic Scientific Claim Verification Tools

Md Athikul Islam, Noel Ellison, Bishal Lakha, Edoardo Serra

Pareto Multi-Objective Alignment for Language Models

Qiang He, Setareh Maghsudi

Variance-Based Defense Against Blended Backdoor Attacks

Sujeevan Aseervatham, Achraf Kerzazi, Younès Bennani

Bayesian Active Learning For Censored Regression

Frederik Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco Pereira

Diffusion Model with Selective Attention for Temporal Knowledge Graph Reasoning

Rushan Geng, Ge Chen, Cuicui Luo

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection

Haokai Zhang, Shengtao Zhang, Zijian Cai, Heng Wang, Ruixuan Zhu, Zinan Zeng, Minnan Luo

Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs

Takuto Takahashi, Itsuki Nakayama, Takahiro Mitani, Ryosuke Kikuchi, Yuya Sasaki, Makoto Onizuka

Voronoi Diagram Encoded Hashing

Yang Xu, Kaiming Ting

Spectral Distribution Alignment for Enhanced Generalization in Regression

Kaiyu Guo, Zijian Wang, Brian Lovell, Mahsa Baktashmotlagh

Safe Screening Rules for Group SLOPE

Runxue Bao, Quanchao Lu, Yanfu Zhang

Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well

Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy

FedRNL: Federated Rationalization with Soft Parameter Sharing

Lingxiao Kong, Jiahui Jiang, Haozhao Wang, Lei Wu, Ruixuan Li

Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations

Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick

HAGAN: Homophily-Aware Generative Adversarial Network for Graph Anomaly Detection

Wenkai Wang, Fan Gao, Meihong Wang

SVEBI: Towards the Interpretation and Explanation of Spiking Neural Networks

Jasper De Laet, Hamed BehzadiKhormouji, Lucas Deckers, Jose Oramas

GraphWeave : Interpretable and Robust Graph Generation via Random Walk Trajectories

Rahul Nandakumar, Deepayan Chakrabarti

AB-STE: Adaptive Blended Gradient Estimation for Efficient Binarized Networks

Siddharth Gupta, Akash Kumar

On Training Survival Models with Scoring Rules

Philipp Kopper, David Ruegamer, Raphael Sonabend, Bernd Bischl, Andreas Bender

Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm

Zhenisbek Assylbekov, Alan Legg, Artur Pak

Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs

Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao

CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising

baosheng zhang, liufang sang, Haoran Wang, Wei Wang, Wenlong Chen, Changping Peng, Zhangang Lin, Jingping Shao, Jie He, Haoqian Wang, Yuchen Guo

Stimulating Catastrophic Forgetting in Class-wise Unlearning via UAP

Wenxing Zhou, Xinwen Cheng, Yingwen Wu, Ruikai Yang, Xiaolin Huang

Gathering and Exploiting Higher-Order Information when Training Large Structured Models

Pierre Wolinski

BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise

Jeroen Galjaard, Robert Birke, Juan Perez, Lydia Chen

Beyond General Edge Utilization: Edge Attention Mean Teacher for Semi-Supervised Medical Image Segmentation

Kaiwei Sun, LuHan Wang, Jin Wang

Bounding-box Watermarking: Defense against Model Extraction Attacks on Object Detectors

Satoru Koda, Ikuya Morikawa

Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations

Yibin Liu, Ang Li, Shijian Li

Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis

Ali Beikmohammadi, Sarit Khirirat, Peter Richtárik, Sindri Magnússon

Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks

Antoine Caradot, Rémi Emonet, Amaury Habrard, AbdelRahim Mezidi, Marc Sebban

Progressive Dual-Space Discovering of Unknowns for Source-Free Open-Set Domain Adaptation

Qianshan Zhan, Qian Wang, XiaoJun Zeng

AMST: Alternating Multimodal Skip Training

Hugo Silva, Hongguang Chen, Selpi Selpi

Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization

Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Machine Unlearning for Random Forests via Method of Images

Hang Zhang, KaiMing Ting

IntentBreaker: Intent-Adaptive Jailbreak Attack on Large Language Models

Shengnan Guo, Yuchen Zhai, Shenyi Zhang, Lingchen Zhao, Zhangyi Wang

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts

Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin

Localized Heat Kernel for Graph Neural Networks

Taoyang Qin, KeJia Chen, Zheng Liu

Leveraging Homophily under Local Differential Privacy for Effective Graph Neural Networks

Yule Xie, Jiaxin Ding, Pengyu Xue, Xin Ding, Haochen Han, Luoyi Fu, Xinbin Wang

How CNNs and ViTs perceive similarities between categories

Katarzyna Filus, Joanna Domaska

Backdoor Attacks on Graph Classification via Data Augmentation and Dynamic Poisoning

Yadong Wang, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Guoren Wang

Late Fusion Multiple Kernel Clustering Refined via Optimal Linear Graph Filtering

Henghui Jiang, Yiqing Guo, Yan Chen, Liang Du

Faithful Explanations for Graph Classification using Logic

Alessio Ragno, Marc Plantevit, Celine Robardet

A Unified View of Abstract Visual Reasoning Problems

Mikoaj Makiski, Jacek Madziuk

Grouped Discrete Representation for Object-Centric Learning

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model

Yali Fu, Jindong Li, Qi Wang, Qianli Xing

Gradient Boosting versus Mixed Integer Programming for Sparse Additive Modeling

Fan Yang, Pierre Le Bodic, Mario Boley

Smooth InfoMax - Towards Easier Post-Hoc Interpretability

Fabian Denoodt, Bart de Boer, José Oramas

Fine-grained Representation Learning and Multi-view Collaborative Augmentation for Recommendation

Huiting Li, Wenjun Ma, Weishan Cai, Yuncheng Jiang

Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization

PierreFrançois Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe

Scaling multi-label conformal prediction with label interactions for a large number of labels

Ghassan Najjar, Céline Berthou, Héléna Vorobieva

A Scalable Model for Frequency Distribution of Low Occurrence Multi-words Towards Handling Very Large Spectrum of Text Corpora Sizes

Joaquim Silva, Jose Cunha

HCT: A Hierarchical Contrastive Learning Framework for Transferable Graph Anomaly Detection

Jiawei Ye, Hongyi Li, Qinlin Xie, Sicheng Liang, Yu Liu, Jie Wu

Breaking Free: Decoupling Forced Systems with Laplace Neural Networks

Bernd Zimmering, Cecília Coelho, Vaibhav Gupta, Maria Maleshkova, Oliver Niggemann

Fair Associative Co-Clustering

Federico Peiretti, Ruggero Pensa

Multivariate Time Series Anomaly Prediction Based on Forecasting and Reconstruction Using Transformer with Temporal and Feature-wise Attention

Chihiro Maru, Masato Oguchi, Ichiro Kobayashi

GBRF: A novel framework for encoding user-preferences in imbalanced data distributions via genetic optimization

Miguel Carvalho, Susana Brás, Armando Pinho

Uncertainty Quantification for Black-box LLMs via Star Graphs Connectivity: Exploring Alternatives for Semantic Density

Zhaoye Li, Huan Chen, Huibin Tan, Long Lan, Yize Sui, Jing Ren

Going Offline: An Evaluation of the Offline Phase in Stream Clustering

Philipp Jahn, Walid Durani, Collin Leiber, Anna Beer, Thomas Seidl

Right on Time: Revising Time Series Models by Constraining their Explanations

Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting

Queryable and Interpretable PU Learning through Probabilistic Circuits

Sieben Bocklandt, Vincent Derkinderen, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers, Luc De Raedt, Wannes Meert

Balanced and Token-Efficient Summarization of User Reviews via Stratified Sampling and Large Language Models

Fabrizio Marozzo, Loris Belcastro, Cristian Cosentino, Pietro Liò

Enabling ControlNet to follow Localized Descriptions using Cross-Attention Control

Denis Lukovnikov, Asja Fischer

JKDM: A Joint Structural and Semantic Diffusion-Generated Knowledge Completion Model

Wendong Zhang, Haoqi Chen, Song Yu

FinCPRG: A Bidirectional Generation Pipeline for Hierarchical Queries and Rich Relevance in Financial Chinese Passage Retrieval

Xuan Xu, Beilin Chu, Qinhong Lin, Yixiao Zhong, Fufang Wen, Jiaqi Liu, Binjie Fei, Yu Li, Zhongliang Yang, Linna Zhou

Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning

Shifeng XIE, Aref EINIZADE, Jhony H Giraldo

Gradient Similarity Surgery in Multi-Task Deep Learning

Thomas Borsani, Andrea Rosani, Giuseppe Nicosia, Giuseppe Di Fatta

Counterfactual Robustness: a framework to analyze the robustness of Causal Generative Models across interventions

Manal Benhamza, Marianne Clausel, Myriam Tami

Stealing Data from Active Party in Vertical Split Learning

Yaxin Liu, Xiaoyang Xu, Wenzhe Yi, Yong Zhuang, Juan Wang, Mengda Yang, Ziang Li

Improving Discriminator Guidance in Diffusion Model

Alexandre Verine, Ahmed Mehdi Inane, Florian Le Bronnec, Benjamin Negrevergne, Yann Chevaleyre

DPS: Diverse Prototype Selection for Adaptive In-Context Learning

Xuanbo Fan, Kaiyuan Li, Hao Sun, Boci Peng, Zhenrong Cheng, Yan Zhang

Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification

Fred Lu, Ryan Curtin, Edward Raff, Francis Ferraro, James Holt

Self-Improvement for Computerized Adaptive Testing

Yannick Rudolph, Kai Neubauer, Ulf Brefeld

Sample and Expand: Discovering Low-rank Submatrices With Quality Guarantees

Martino Ciaperoni, Aristides Gionis, Heikki Mannila

TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion

Jorge da Silva Gonçalves, Laura Manduchi, Moritz Vandenhirtz, Julia E Vogt

Diffusion Classifier Guidance for Non-robust Classifiers

Philipp Vaeth, Dibyanshu Kumar, Benjamin Paassen, Magda Gregorova

Bridging Logic and Learning: Decoding Temporal Logic Embeddings via Transformers

Sara Candussio, Gaia Saveri, Gabriele Sarti, Luca Bortolussi

Loss Functions in Diffusion Models: A Comparative Study

Dibyanshu Kumar, Philipp Vaeth, Magda Gregorova

FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness Auditing

Christos Fragkathoulas University of Ioannina, Athena Research Center, Vasiliki Papanikou University of Ioannina, Athena Research Center, Evaggelia Pitoura University of Ioannina, Athena Research Center, Evimaria Terzi Boston University, Athena Research Center

P2NIA: Privacy-Preserving Non-Interactive Auditing

Jade Garcia Bourrée, Hadrien Lautraite, Sébastien Gambs, Gilles Tredan, Erwan Le Merrer, Benoît Rottembourg

Optimizing and Tuning Fairness in Machine Learning: An Augmented Lagrangian Method with a Performance Budget

Michele Fontana, Francesca Naretto, Anna Monreale

On Trustworthy Rule-Based Models and Explanations

Mohamed SIALA, Jordi Planes, Joao MarquesSilva

Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction

Claudio Moroni, Claudio Borile, Carolina Mattsson, Michele Starnini, André Panisson

Hashing for Fast Pattern Set Selection

Maiju Karjalainen, Pauli Miettinen

A True-to-the-model Benchmark for Edge-level Attributions of GNN Explainers

Francesco Paolo Nerini, Francesco Bonchi, André Panisson

MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series

Dawid Pudowski, Francesco Spinnato, Piotr Wilczyski, Krzysztof Kotowski, Evridiki Ntagiou, Riccardo Guidotti, Przemysaw Biecek

Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation

Clive Tinashe Marimo, Benedikt Blumenstiel, Maximilian Nitsche, Johannes Jakubik, Thomas Brunschwiler

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models

Francesc Marti Escofet, Benedikt Blumenstiel, Linus Scheibenreif, Paolo Fraccaro, Konrad Schindler

ReDeLEx: A Framework for Relational Deep Learning Exploration

Jakub Peleka, Gustav ír

Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations

Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning

Lattice Climber: Adversarial attacks for randomized mixtures of classifiers

Lucas Gnecco Heredia, Benjamin Negrevergne, Yann Chevaleyre

Quality-Preserving Extreme Image Compression: Using Interpretable Conditioning Inputs with Diffusion Models

Shayan Ali Hassan, Danish Humair, Ihsan Ayyub Qazi, Zafar Ayyub Qazi

The Densest SWAMP problem: subhypergraphs with arbitrary monotonic partial edge rewards

Vedangi Vivek Bengali, Nikolaj Tatti, Iiro Kumpulainen, Florian Adriaens, Nate Veldt

Advancing Multi-Step Mathematical Reasoning in Large Language Models through Multi-Layered Self-Reflection with Auto-Prompting

André de Souza Loureiro, Jorge ValverdeRebaza, Julieta Noguez, David Escarcega, Ricardo Marcacini

Improving Novel Anomaly Detection with Domain-Invariant Latent Representations

Padmaksha Roy, Ming Jin, himanshu singhal, Tyler Cody, Kevin Choi

Differentially Private Sparse Linear Regression with Heavy-tailed Responses

Xizhi Tian, Meng Ding, Youming Tao, Zihang Xiang, Di Wang

ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla

Deeparghya Dutta Barua, Md Sakib Ul Rahman Sourove, Md Fahim, Fabiha Fabiha, Fariha Tanjim Shifat, Md Tasmim Rahman Adib, Anam Borhan Uddin, Md Farhan Ishmam, Md Farhad Alam Bhuiyan

Enhancing Graph Transformers with SNNs and Mutual Information

Ziyu Wang

Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework

Zichong Wang, Zhipeng Yin, Zhen Liu, Roland Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction

Yu Kang, Junwei Pan, Jipeng Jin, Shudong Huang, Xiaofeng Gao, Lei Xiao

Generalization of Compositional Tasks with Logical Specification via Implicit Planning

Duo Xu, Faramarz Fekri

A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis

Arthur Buzelin, Pedro Robles Dutenhefner, Turi Rezende, Luisa Porfirio, Pedro Bento, Yan Aquino, Jose Fernandes, Caio Santana, Gabriela Miana, Gisele Pappa, Antonio Ribeiro, Wagner Meira Jr

Bias vs Bias - Dawn of Justice: A Fair Fight in Recommendation Systems

Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal

C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction

Yuting Liu, Qiang Zhou, Hanzhe Li, Chenqi Gong, Jingjing Gu

Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective

Haoyu Zhang, Yuxuan Cheng, Wenqi Fan, Yulong Chen, Yifan Zhang

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing

Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu

"I Forgot About You!": Exploring Multi-Label Unlearning (MLU) for Responsible Facial Systems

PROMMY SULTANA HOSSAIN, Emanuela Marasco, Jessica Lin, Michael King

Interpretable Hybrid-Rule Temporal Point Processes

Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin

GraphJCL: A Dual-Perspective Graph-Based Framework for Urban Region Representation via Joint Contrastive Learning

Yaya Zhao, Kaiqi Zhao, Zixuan Tang, Xiaoling Lu, Yuanyuan Zhang, Yalei Du

Stable Vision Concept Transformers for Medical Diagnosis

Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP

Zhiyuan Wang, Bokui Chen

Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion

Yuntao Shou, Tao Meng, Wei Ai, keqin Li

Towards Deeper GCNs: Alleviating Over-smoothing via Iterative Training and Fine-tuning

Furong Peng, Jinzhen Gao, Xuan Lu, Kang Liu, Yifan Huo, Sheng Wang

Distribution Matching for Graph Quantification under Structural Covariate Shift

Clemens Damke, Eyke Hüllermeier

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information

Jan Corazza, Hadi Partovi Aria, Hyohun Kim, Daniel Neider, Zhe Xu

EGADS: Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstration

Zuojin Tang, Xiaoyu Chen, Yongqiang Li, Jianyu Chen

Learning Submodular Sequencing from Samples

Jing Yuan, Qi Cai, Xin Gao, Shaojie Tang

Two-Stage Temporal Knowledge Graph Completion Based on Reinforcement Learning

Dong Li, Yong Wei, Xinyi Dong, Jingyou Sun, LinLin Ding, Yue Kou