CIKM A

694 papers

YearTitle / Authors
2024"Reasoning before Responding": Towards Legal Long-form Question Answering with Interpretability.
Utkarsh Ujwal, Sai Sri Harsha Surampudi, Sayantan Mitra, Tulika Saha
20241st Workshop on Multimodal Search and Recommendations (CIKM MMSR '24).
Aditya Chichani, Surya Kallumadi, Tracy Holloway King, Andrei Lopatenko
20243DLNews: A Three-decade Dataset of US Local News Articles.
Gangani Ariyarathne, Alexander C. Nwala
20243M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection.
Rina Carines Cabral, Siwen Luo, Josiah Poon, Soyeon Caren Han
20243rd International Workshop on Industrial Recommendation Systems (IRS).
Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis
2024A Bayesian Multi-Armed Bandit Algorithm for Bid Shading in Online Display Advertising.
Mengzhuo Guo, Wuqi Zhang, Congde Yuan, Binfeng Jia, Guoqing Song, Hua Hua, Shuangyang Wang, Qingpeng Zhang
2024A Behavior-aware Cause Identification Framework for Order Cancellation in Logistics Service.
Shuxin Zhong, Yahan Gu, Wenjun Lyu, Hongyu Lin, Guang Yang, Yao Lu, Guang Wang, Yu Yang, Desheng Zhang
2024A Cause-Focused Query Optimizer Alert System.
Runfan Ye, Zibo Liang, Xu Chen, Shuncheng Liu, Kai Zheng
2024A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification.
Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
2024A GAIL Fine-Tuned LLM Enhanced Framework for Low-Resource Knowledge Graph Question Answering.
Zhiqiang Zhang, Liqiang Wen, Wen Zhao
2024A General Strategy Graph Collaborative Filtering for Recommendation Unlearning.
Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024A Generative Benchmark Creation Framework for Detecting Common Data Table Versions.
Daniel C. Fox, Aamod Khatiwada, Roee Shraga
2024A Geometric Perspective for High-Dimensional Multiplex Graphs.
Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2024A Knowledge-Enhanced Transformer-FL Method for Fault Root Cause Localization.
Zhe Lv, Yaqiong Liu, Xidian Wang, Peng Gao, Zhouyuan Li, Yuanzhen Jiang
2024A Learning-based Approach for Explaining Language Models.
Oren Barkan, Yonatan Toib, Yehonatan Elisha, Noam Koenigstein
2024A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data.
Jingwen Sun, Yu He, Yiyu Xu, Jingwei Sun, Guangzhong Sun
2024A Mixed-Curvature Graph Diffusion Model.
Yujie Wang, Shuo Zhang, Junda Ye, Hao Peng, Li Sun
2024A Mixture of Experts in Forecasting Student Performance in Classroom Programming Activities.
Moqsadur Rahman, Monika Akbar, Justice T. Walker, Mahmud Shahriar Hossain
2024A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising.
Xuewu Jiao, Xinsheng Luo, Miao Li, Jiang Bian, Junchao Yang, Wei Hu, Mingqing Hu, Weipeng Lu, Shikun Feng, Danlei Feng, Dongxu Yang, Haoyi Xiong, Shuanglong Li, Lin Liu
2024A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors.
Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung
2024A One-Health Platform for Antimicrobial Resistance Data Analytics.
Benoit Lange, Reza Akbarinia, Florent Masseglia
2024A Payment Transaction Pre-training Model for Fraud Transaction Detection.
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu
2024A Power Method to Alleviate Over-smoothing for Recommendation.
Peng Zhou, Yachao Cui, Han Cao
2024A Real-Time Adaptive Multi-Stream GPU System For Online Approximate Nearest Neighborhood Search.
Yiping Sun, Yang Shi, Jiaolong Du
2024A Scalable Tool for Democratizing Variant Calling on Human Genomes Using Commodity Clusters.
Khawar Shehzad, Ajay Kumar, Matthew Schutz, Chase Webb, Polycarp Nalela, Manas Jyoti Das, Praveen Rao
2024A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System.
Zhiqiang Liu, Xiaoxiao Xu, Jiaqi Yu, Han Xu, Lantao Hu, Han Li, Kun Gai
2024A Skill Proficiency Framework for Workforce Learning and Development.
Rebecca Dew, Mingzhao Li, Sandya Baratha Raj
2024A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference.
Yupeng Fang, Ruirui Liu, Huichou Huang, Peilin Zhao, Qingyao Wu
2024A Structural Information Guided Hierarchical Reconstruction for Graph Anomaly Detection.
Dongcheng Zou, Hao Peng, Chunyang Liu
2024A Supervised BERT Model for Identifying Core-Intent Bearing Phrases in e-Commerce Queries.
Abhishek Sudhakar Deshmukh, Arnab Dutta
2024A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024A Universal Sets-level Optimization Framework for Next Set Recommendation.
Yuli Liu, Min Liu, Christian Walder, Lexing Xie
2024A Universal and Interpretable Method for Enhancing Stock Price Prediction.
Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin
2024ACDM: An Effective and Scalable Active Clustering with Pairwise Constraint.
Xun Fu, Wen-Bo Xie, Bin Chen, Tao Deng, Tian Zou, Xin Wang
2024AI Agent for Information Retrieval: Generating and Ranking.
Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024AI-safe Autocompletion with RAG and Relevance Curation.
Kilian Merkelbach, Ksenia Riabinova, Arnab Dutta
2024ALDF: An Adaptive Logical Decision Framework for Multimodal Named Entity Recognition.
Guohui Ding, Tianhao Jiang, Rui Zhou, Qian Gao
2024APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation.
Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu
2024Accurate Embedding-based Log Determinant Optimization.
Daye Eun, Byungkon Kang
2024Accurate Neural Network Option Pricing Methods with Control Variate Techniques and Data Synthesis/Cleaning with Financial Rationality.
Chia-Wei Hsu, Tian-Shyr Dai, Chuan-Ju Wang, Ying-Ping Chen
2024Accurate Path Prediction of Provenance Traces.
Raza Ahmad, Hee-Young Jung, Yuta Nakamura, Tanu Malik
2024AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities.
Yuhao Zheng, Jinyang Wu, Zihao Cai, Senzhang Wang, Jianxin Wang
2024AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes.
Shuxin Zhong, Hua Wei, Wenjun Lyu, Guang Yang, Zhiqing Hong, Guang Wang, Yu Yang, Desheng Zhang
2024Adaptive Cascading Network for Continual Test-Time Adaptation.
Kien X. Nguyen, Fengchun Qiao, Xi Peng
2024Adaptive Cross-platform Transportation Time Prediction for Logistics.
Shuxin Zhong, Wenjun Lyu, Zhiqing Hong, Guang Yang, Weijian Zuo, Haotian Wang, Guang Wang, Yu Yang, Desheng Zhang
2024Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection.
Zhiwei Yang, Yuecen Wei, Haoran Li, Qian Li, Lei Jiang, Li Sun, Xiaoyan Yu, Chunming Hu, Hao Peng
2024Ads Supply Personalization via Doubly Robust Learning.
Wei Shi, Chen Fu, Qi Xu, Sanjian Chen, Jizhe Zhang, Qinqin Zhu, Zhigang Hua, Shuang Yang
2024Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models.
Avinash Anand, Ashwin R. Nair, Kritarth Prasad, Vrinda Narayan, Naman Lal, Debanjan Mahata, Yaman Singla, Rajiv Ratn Shah
2024Advancing Certified Robustness of Explanation via Gradient Quantization.
Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui
2024Advancing Misinformation Awareness in Recommender Systems for Social Media Information Integrity.
Royal Pathak
2024Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud.
Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun
2024Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search.
Enqiang Xu, Xinhui Li, Zhigong Zhou, Jiahao Ji, Jinyuan Zhao, Dadong Miao, Songlin Wang, Lin Liu, Sulong Xu
2024Adversarial Text Rewriting for Text-aware Recommender Systems.
Sejoon Oh, Gaurav Verma, Srijan Kumar
2024Advertiser Content Understanding via LLMs for Google Ads Safety.
Joseph Wallace, Tushar Dogra, Wei Qiao, Yuan Wang
2024AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction.
Yuchen Shi, Guochao Jiang, Tian Qiu, Deqing Yang
2024AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation.
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C. H. Ngai
2024AlignRec: Aligning and Training in Multimodal Recommendations.
Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Yong Yu, Weinan Zhang
2024Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.
Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao
2024Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation.
Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong
2024Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL.
Yuanyuan Liang, Keren Tan, Tingyu Xie, Wenbiao Tao, Siyuan Wang, Yunshi Lan, Weining Qian
2024Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search.
Fengran Mo, Chen Qu, Kelong Mao, Yihong Wu, Zhan Su, Kaiyu Huang, Jian-Yun Nie
2024An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing.
Xinlang Yue, Yiran Liu, Fangzhou Shi, Sihong Luo, Chen Zhong, Min Lu, Zhe Xu
2024An Enhanced Batch Query Architecture in Real-time Recommendation.
Qiang Zhang, Zhipeng Teng, Disheng Wu, Jiayin Wang
2024An Evaluation Framework for Attributed Information Retrieval using Large Language Models.
Hanane Djeddal, Pierre Erbacher, Raouf Toukal, Laure Soulier, Karen Pinel-Sauvagnat, Sophia Katrenko, Lynda Tamine
2024An Explainable Multi-atlas Fusion Model based on Spatial Overlap for ASD Diagnosis.
Yuefeng Ma, Xiaochen Mu, Tengfei Zhang
2024AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings.
Clara Rus, Gabrielle Poerwawinata, Andrew Yates, Maarten de Rijke
2024Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning.
Xiaobao Huang, Mihir Surve, Yuhan Liu, Tengfei Luo, Olaf Wiest, Xiangliang Zhang, Nitesh V. Chawla
2024Ask or Recommend: An Empirical Study on Conversational Product Search.
Heli Ma, Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Yi Bin, Yang Yang
2024Assessing Human Viewpoints in Theory of Mind for Large Language Models in Open-Ended Questioning.
Maryam Amirizaniani
2024Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation.
Tianyi Chen, Jianfu Zhang, Yan Hong, Yiyi Zhang, Liqing Zhang
2024Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles.
Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao
2024Attentional Neural Integral Equation for Temporal Knowledge Graph Forecasting.
Likang Xiao, Zijie Chen, Richong Zhang, Junfan Chen
2024AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach.
Maryam Amirizaniani, Elias Martin, Tanya G. Roosta, Aman Chadha, Chirag Shah
2024Automated Contrastive Learning Strategy Search for Time Series.
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024Automated Nanoparticle Image Processing Pipeline for AI-Driven Materials Characterization.
Alexandra L. Day, Carolin B. Wahl, Roberto dos Reis, Wei-keng Liao, Vinayak P. Dravid, Alok N. Choudhary, Ankit Agrawal
2024Automatic Large Language Model Evaluation via Peer Review.
Zhumin Chu, Qingyao Ai, Yiteng Tu, Haitao Li, Yiqun Liu
2024Automation of Text-Based Economic Indicator Construction: A Pilot Exploration on Economic Policy Uncertainty Index.
Hsiu-Hsuan Yeh, Yu-Lieh Huang, Ziho Park, Chung-Chi Chen
2024BART-based Hierarchical Attentional Network for Sentence Ordering.
Yiping Yang, Baiyun Cui, Yingming Li
2024Behavior-Aware Hypergraph Convolutional Network for Illegal Parking Prediction with Multi-Source Contextual Information.
Guang Yang, Meiqi Tu, Zelong Li, Jinquan Hang, Taichi Liu, Ruofeng Liu, Yi Ding, Yu Yang, Desheng Zhang
2024Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation.
Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
2024Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion.
Hai Wang, Shuai Wang, Li Lin, Yu Yang, Shuai Wang, Hongkai Wen
2024Benchmarking Challenges for Temporal Knowledge Graph Alignment.
Weixin Zeng, Jie Zhou, Xiang Zhao
2024Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion.
Jiaqi Li, Xiaoyang Qu, Wenbo Ding, Zihao Zhao, Jianzong Wang
2024Beyond Language Bias: Overcoming Multimodal Shortcut and Distribution Biases for Robust Visual Question Answering.
Jingliang Gu, Zhixin Li
2024Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.
Jie Peng, Runlin Lei, Zhewei Wei
2024Bi-directional Learning of Logical Rules with Type Constraints for Knowledge Graph Completion.
Kunxun Qi, Jianfeng Du, Hai Wan
2024BioMAISx: A Corpus for Aspect-Based Sentiment Analysis of Media Representations of Agricultural Biotechnologies in Africa.
Patricia Chiril, Trevor Spreadbury, Joeva Rock, Brian Dowd-Uribe, David Uminsky
2024Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble.
Chang George Dong, Zhengyang David Li, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang
2024Boosting Entity Recognition by leveraging Cross-task Domain Models for Weak Supervision.
Sanjay Agrawal, Srujana Merugu, Vivek Sembium
2024Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.
Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu
2024Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching.
Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He
2024Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection.
Lanjun Wang, Zehao Wang, Le Wu, An-An Liu
2024Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework.
Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Binghui Wang
2024Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
2024Breaking the Bottleneck on Graphs with Structured State Spaces.
Yunchong Song, Siyuan Huang, Jiacheng Cai, Xinbing Wang, Chenghu Zhou, Zhouhan Lin
2024Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking.
Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan
2024Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP.
Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang
2024Bridging Knowledge Gaps in LLMs via Function Calls.
Kinjal Basu
2024Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models.
Wenjia Xie, Rui Zhou, Hao Wang, Tingjia Shen, Enhong Chen
2024Bubble Sketch: A High-performance and Memory-efficient Sketch for Finding Top-
Lu Cao, Qilong Shi, Yuxi Liu, Hanyue Zheng, Yao Xin, Wenjun Li, Tong Yang, Yangyang Wang, Yang Xu, Weizhe Zhang, Mingwei Xu
2024Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration.
Bingjie Yan, Qian Chen, Yiqiang Chen, Xinlong Jiang, Wuliang Huang, Bingyu Wang, Zhirui Wang, Chenlong Gao, Teng Zhang
2024Building Natural Language Interface for Product Search.
Vijit Malik, Vinayak Puranik, Anirban Majumder, Vivek Sembium
2024ByGCN: Spatial Temporal Byroad-Aware Graph Convolution Network for Traffic Flow Prediction in Road Networks.
Tangpeng Dan, Xiao Pan, Bolong Zheng, Xiaofeng Meng
2024CADIF-OSN: Detecting Cloned Accounts with Missing Profile Attributes on Online Social Networks.
Dewei Ning, Yong-Feng Ge, Hua Wang, Changjun Zhou
2024CAG: A Consistency-Adaptive Text-Image Alignment Generation for Joint Multimodal Entity-Relation Extraction.
Xinjie Yang, Xiaocheng Gong, Binghao Tang, Yang Lei, Yayue Deng, Huan Ouyang, Gang Zhao, Lei Luo, Yunling Feng, Bin Duan, Si Li, Yajing Xu
2024CH-Mits: A Cross-Modal Dataset for User Sentiment Analysis on Chinese Social Media.
Juhao Ma, Shuai Xu, Yilin Liu, Xiaoming Fu
2024CHDAER: Consistent Hashing-based Data Allocation for Efficient Recommendation in Edge Environment.
Zhikang Feng, Chao Yan, Rong Jiang, Xiaolong Xu, Xuyun Zhang, Xiaokang Zhou, Wanchun Dou, Lianyong Qi
2024CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection.
Jihun Yi, Sungroh Yoon
2024CLR2G: Cross modal Contrastive Learning on Radiology Report Generation.
Hongchen Xue, Qingzhi Ma, Guanfeng Liu, Jianfeng Qu, Yuanjun Liu, An Liu
2024CMG: A Causality-enhanced Multi-view Graph Model for Stock Trend Prediction.
Xi Cheng, Liang Wang, Yunan Zeng, Qiang Liu
2024CNN to GNN: Unsupervised Multi-level Knowledge Learning.
Ziheng Jiao, Hongyuan Zhang, Xuelong Li
2024COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty.
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang
2024COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data.
Ting-Yun Ou, Ching Chang, Wen-Chih Peng
2024COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification.
Jesus Barreda, Ashley Gomez, Ruben Puga, Kaixiong Zhou, Li Zhang
2024CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification.
Jinghao Shi, Xiang Shen, Kaili Zhao, Xuedong Wang, Vera Wen, Zixuan Wang, Yifan Wu, Zhixin Zhang
2024CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment.
Akira Kasuga, Ryo Yonetani
2024CYCLE: Cross-Year Contrastive Learning in Entity-Linking.
Pengyu Zhang, Congfeng Cao, Klim Zaporojets, Paul Groth
2024Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation.
Hyunsik Jeon, Se-eun Yoon, Julian J. McAuley
2024Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions.
Maryam Amirizaniani, Elias Martin, Maryna Sivachenko, Afra Mashhadi, Chirag Shah
2024CancerKG.ORG - A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care.
Michael N. Gubanov, Anna Pyayt, Aleksandra Karolak
2024Causal Discovery from Heterogenous Multivariate Time Series.
Lei Zan
2024Causal Interventional Prediction System for Robust and Explainable Effect Forecasting.
Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li
2024Causal Probing for Dual Encoders.
Jonas Wallat, Hauke Hinrichs, Avishek Anand
2024CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient Health State.
Xiang Li, Shunpan Liang, Yu Lei, Chen Li, Yulei Hou, Dashun Zheng, Tengfei Ma
2024Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024Channel-Aware Low-Rank Adaptation in Time Series Forecasting.
Tong Nie, Yuewen Mei, Guoyang Qin, Jian Sun, Wei Ma
2024CheckGuard: Advancing Stolen Check Detection with a Cross-Modal Image-Text Benchmark Dataset.
Fei Zhao, Jiawen Chen, Bin Huang, Chengcui Zhang, Gary Warner
2024ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation.
Peiyu Li, Xiaobao Huang, Yijun Tian, Nitesh V. Chawla
2024City Foundation Models for Learning General Purpose Representations from OpenStreetMap.
Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li
2024Collaborative Alignment for Recommendation.
Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2024Collaborative Cross-modal Fusion with Large Language Model for Recommendation.
Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang
2024Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation.
Xin Liu, Xiaoyu Fan, Rong Ma, Kun Chen, Yi Li, Guosai Wang, Wei Xu
2024Collaborative Scope: Encountering the Substitution Effect within the Delivery Scope in Online Food Delivery Platform.
Yida Zhu, Liying Chen, Chen Zheng, Jia Shi, Daping Xiong, Zewen Huang, Shihao Ren, Shuiping Chen, Jinghua Hao, Renqing He
2024Collecting and Analyzing Public Data from Mastodon.
Haris Bin Zia, Ignacio Castro, Gareth Tyson
2024Combat Greenwashing with GoalSpotter: Automatic Sustainability Objective Detection in Heterogeneous Reports.
Mohammad Mahdavi, Ramin Baghaei Mehr, Tom Debus
2024Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects.
Dong Yao, Caizhi Tang, Qing Cui, Longfei Li
2024Compositional and Hierarchical Semantic Learning Model for Hospital Readmission Prediction.
Weiting Gao, Xiangyu Gao, Yi Chen
2024Compressed Models are NOT Miniature Versions of Large Models.
Rohit Raj Rai, Rishant Pal, Amit Awekar
2024Confidence-Aware Multi-Field Model Calibration.
Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
2024Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding.
Yichen Liu, Jiawei Chen, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang
2024Content-Based Collaborative Generation for Recommender Systems.
Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin
2024Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning.
Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma
2024Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification.
Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao
2024Contrastive Disentangled Representation Learning for Debiasing Recommendation with Uniform Data.
Xinxin Yang, Zhen Liu, Xiaoman Lu, Yafan Yuan, Sibo Lu, Yibo Gao
2024Contrastive Learning on Medical Intents for Sequential Prescription Recommendation.
Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Mei Liu, Zijun Yao
2024Coresets for Deletion-Robust k-Center Clustering.
Ruien Li, Yanhao Wang, Michael Mathioudakis
2024Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations.
Ningsheng Zhao, Jia Yuan Yu, Trang Bui, Krzysztof Dzieciolowski
2024Cost-Effective Framework with Optimized Task Decomposition and Batch Prompting for Medical Dialogue Summary.
Chi Zhang, Tao Chen, Jiehao Chen, Hao Wang, Jiyun Shi, Zhaojing Luo, Meihui Zhang
2024CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning.
Shuai Wang, Tongtong Kong, Baoshen Guo, Li Lin, Haotian Wang
2024CourtsightTV: An Interactive Visualization Software for Labeling Key Basketball Moments.
Alexander Russakoff, Kenny Miller, Vahid Mahzoon, Parsa Esmaeilkhani, Christine Cho, Jaffar Alzeidi, Sandro Hauri, Slobodan Vucetic
2024Covariate Ordered Systematic Sampling as an Improvement to Randomized Controlled Trials.
Deddy Jobson, Yilin Li, Naoki Nishimura, Koya Ohashi, Jie Yang, Takeshi Matsumoto
2024Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets.
Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian
2024Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification.
Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly, Tsz-Kwan Lee, Thanh Thi Nguyen, Asef Nazari, Dhananjay R. Thiruvady
2024Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading.
Kaiming Pan, Yifan Hu, Li Han, Haoyu Sun, Dawei Cheng, Yuqi Liang
2024CrossPred: A Cross-City Mobility Prediction Framework for Long-Distance Travelers via POI Feature Matching.
Shuai Xu, Donghai Guan
2024Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling.
Sungchul Hong, Seunghwan An, Jong-June Jeon
2024Cultural Commonsense Knowledge for Intercultural Dialogues.
Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
2024DAMOCRO: A Data Migration Framework Using Online Classification and Reordering.
Zhongxin Hu, Kaiyu Li, Xingjian Mao, Jingfeng Pan, Yunfei Peng, Aijun An, Xiaohui Yu, Dariusz Jania
2024DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism.
Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu
2024DCAI: The 4th International Workshop on Data-Centric AI.
Yanjie Fu, Kunpeng Liu, Dongjie Wang
2024DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.
Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang, Guangyong Zheng
2024DECO: Cooperative Order Dispatching for On-Demand Delivery with Real-Time Encounter Detection.
Yao Lu, Shuai Wang, Yu Yang, Hai Wang, Baoshen Guo, Desheng Zhang, Shuai Wang, Tian He
2024DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection.
Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao
2024DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion.
Li Lin, Xin Xu, Hai Wang, Tian He, Desheng Zhang, Shuai Wang
2024DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation.
Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang
2024DP-FedFace: Privacy-Preserving Facial Recognition in Real Federated Scenarios.
Wenjing Wang, Si Li
2024DPCAG: A Community Affiliation Graph Generation Model for Preserving Group Relationships.
Xinjian Zhang, Bo Ning, Chengfei Liu
2024DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting.
Ruixin Ding, Yuqi Chen, Yu-Ting Lan, Wei Zhang
2024DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024Data Imputation from the Perspective of Graph Dirichlet Energy.
Weiqi Zhang, Guanlue Li, Jianheng Tang, Jia Li, Fugee Tsung
2024Data Quality-aware Graph Machine Learning.
Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr
2024Data Void Exploits: Tracking & Mitigation Strategies.
Miro Mannino, Junior Garcia, Reem Hazim, Azza Abouzied, Paolo Papotti
2024Dataset Generation for Korean Urban Parks Analysis with Large Language Models.
Honggu Kim, Minwoo Kang, Hyeyoung Choi, Yun-Gyung Cheong
2024Debiased Graph Poisoning Attack via Contrastive Surrogate Objective.
Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park
2024Decoupled Behavior-based Contrastive Recommendation.
Mengduo Yang, Jie Zhou, Meng Xi, Xiaohua Pan, Yi Yuan, Ying Li, Yangyang Wu, Jinshan Zhang, Jianwei Yin
2024Deep Journey Hierarchical Attention Networks for Conversion Predictions in Digital Marketing.
Girim Ban, Hyeonseok Yun, Banseok Lee, David Sung, Simon S. Woo
2024Deep Learning-Based Compressed Sensing for Mobile Device-Derived Sensor Data.
Liqiang Xu, Yuuki Nishiyama, Kota Tsubouchi, Kaoru Sezaki
2024Deep Noise-Aware Quality Loss for Speaker Verification.
Pantid Chantangphol, Theerat Sakdejayont, Monchai Lertsutthiwong, Tawunrat Chalothorn
2024Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System.
Xin Jiang, Kaiqiang Wang, Yinlong Wang, Fengchang Lv, Taiyang Peng, Shuai Yang, Xianteng Wu, Pengye Zhang, Shuo Yuan, Yifan Zeng
2024DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection.
Donghee Choi, Jinkyu Kim, Mogan Gim, Jinho Lee, Jaewoo Kang
2024DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model.
Nan Xie, Yuelin Bai, Hengyuan Gao, Ziqiang Xue, Feiteng Fang, Qixuan Zhao, Zhijian Li, Liang Zhu, Shiwen Ni, Min Yang
2024Demonstrating PARS: A Decision Support System for Developing Vertical Partitioning Plans.
Pengju Liu, Kai Zhong, Cuiping Li, Hong Chen
2024Demonstration of a Multi-agent Framework for Text to SQL Applications with Large Language Models.
Chen Shen, Jin Wang, Sajjadur Rahman, Eser Kandogan
2024Demystifying Financial Texts Using Natural Language Processing.
Sohom Ghosh
2024Design Element Aware Poster Layout Generation.
Yinan Li, Jia Chen, Yin Bai, Jia Cheng, Jun Lei
2024DetCat: Detecting Categorical Outliers in Relational Datasets.
Arthur Zylinski, Abdulhakim Ali Qahtan
2024Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction.
Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen
2024DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection.
Ya-Ting Chang, Zhibo Hu, Xiaoyu Li, Shuiqiao Yang, Jiaojiao Jiang, Nan Sun
2024DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering.
Zhicheng Lee, Zhidian Huang, Zijun Yao, Jinxin Liu, Amy Xin, Lei Hou, Juanzi Li
2024DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph.
Jalal Khalil, Akhlaque Ahmad, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang
2024Discovering Denial Constraints Based on Deep Reinforcement Learning.
Lingfeng Bian, Weidong Yang, Jingyi Xu, Zijing Tan
2024Discovering Graph Generating Dependencies for Property Graph Profiling.
Larissa Capobianco Shimomura, Nikolay Yakovets, George Fletcher
2024Discrepancy-guided Channel Dropout for Domain Generalization.
Seonggyeom Kim, Byeongtae Park, Harim Lee, Dong-Kyu Chae
2024Distilling Knowledge Based on Curriculum Learning for Temporal Knowledge Graph Embeddings.
Bin Zhang, Jiayin Li, Yuanfei Dai
2024Distilling Large Language Models for Text-Attributed Graph Learning.
Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
2024Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction.
Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé
2024Distributed Boosting: An Enhancing Method on Dataset Distillation.
Xuechao Chen, Wenchao Meng, Peiran Wang, Qihang Zhou
2024DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks.
Shuai Xiao, Zaifan Jiang
2024Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation.
Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros
2024Document-Level Relation Extraction Based on Heterogeneous Graph Reasoning.
Dong Li, Miao Li, Zhi-Lei Lei, Baoyan Song, Xiaohuan Shan
2024Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models.
Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu
2024Domain Alignment with Large Vision-language Models for Cross-domain Remote Sensing Image Retrieval.
Yan Chen, Guocan Cai, Fufang Li, Yangtao Wang, Xin Tan, Xiaocui Li
2024Dual-level Intents Modeling for Knowledge-aware Recommendation.
Jin Zeng, Nan Wang, Jinbao Li
2024Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization.
Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang
2024Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection.
Li Tao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung
2024EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.
Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King
2024ECRT: Flexible Sequence Enhancement Framework for Cross-Domain Information Reuse in Recommendation.
Weiqiang Zhao, Zi-Yuan Wu, Yatao Yang, Lifeng Hua, Hao Xiong
2024EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration.
Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis
2024EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs.
Rupesh Sapkota, Dominik Köhler, Stefan Heindorf
2024EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering.
Lu Zhang, Qian Rong, Xuanang Ding, Guohui Li, Ling Yuan
2024EFfECT-RL: Enabling Framework for Establishing Causality and Triggering engagement through RL.
Debanjan Sadhukhan, Deepanshi Seth, Sanjay Agrawal, Tridib Mukherjee
2024EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models.
Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung
2024ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.
Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction.
Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang
2024EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.
Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan
2024ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance.
Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu
2024EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles.
João Augusto Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton
2024EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation.
Lei Huang, Weitao Li, Chenrui Zhang, Jinpeng Wang, Xianchun Yi, Sheng Chen
2024Early Exit Strategies for Approximate
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2024EasyST: A Simple Framework for Spatio-Temporal Prediction.
Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng
2024Effective Clean-Label Backdoor Attacks on Graph Neural Networks.
Xuanhao Fan, Enyan Dai
2024Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs.
Zhihao Ding, Jieming Shi, Qing Li, Jiannong Cao
2024Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy.
Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu
2024Effective Utilization of Large-scale Unobserved Data in Recommendation Systems.
Feng Zhang, Yulin Xu, Hongjie Chen, Xu Yuan, Qingwen Liu, Yuning Jiang
2024Effectively Capturing Label Correlation for Tabular Multi-Label Classification.
Sajjad Kamali Siahroudi, Zahra Ahmadi, Daniel Kudenko
2024Efficient Global Message Passing for Heterophilous Graphs.
Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Yong Liang Goh, Wee Sun Lee
2024Efficient Pruned Top-K Subgraph Matching with Topology-Aware Bounds.
Linglin Yang, Yuqi Zhou, Yue Pang, Lei Zou
2024Efficient and Robust Regularized Federated Recommendation.
Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024Efficient and Secure Contribution Estimation in Vertical Federated Learning.
Juan Li, Rui Deng, Tianzi Zang, Mingqi Kong, Kun Zhu
2024Embedding Knowledge Graphs in Function Spaces.
Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning.
Mengyao Chen, Xinghua Zhang, Junhao Zhang, Quangang Li, Tingwen Liu
2024Empowering Private Tutoring by Chaining Large Language Models.
Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou
2024Empowering Shoppers with Event-focused Search.
Austin R. Ward, Omar Alonso
2024Empowering Traffic Speed Prediction with Auxiliary Feature-Aided Dependency Learning.
Dong-Hyuk Seo, Jiwon Son, Namhyuk Kim, Won-Yong Shin, Sang-Wook Kim
2024End-to-End Aspect Based Sentiment Analysis Using Graph Attention Network.
Abir Chakraborty
2024Enhanced Privacy Bound for Shuffle Model with Personalized Privacy.
Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen
2024Enhanced Retrieval Effectiveness through Selective Query Generation.
Seyed Mohammad Hosseini, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri
2024Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies.
Hyuntae Kim, Changhee Lee
2024Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.
Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin
2024Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation.
Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024Enhancing Content-based Recommendation via Large Language Model.
Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang
2024Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy.
Wenzhou Dou, Derong Shen, Xiangmin Zhou, Hui Bai, Yue Kou, Tiezheng Nie, Hang Cui, Ge Yu
2024Enhancing E-Commerce Query Rewriting: A Large Language Model Approach with Domain-Specific Pre-Training and Reinforcement Learning.
Aijun Dai, Zhenyu Zhu, Haiqing Hu, Guoyu Tang, Lin Liu, Sulong Xu
2024Enhancing Event Detection with Inter-Event Dependencies in Large Ontologies.
Samireh Abdi
2024Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework.
Yunfei Yang, Zhenghao Qi, Honghuan Wu, Qi Song, Tieyao Zhang, Hao Li, Yimin Tu, Kaiqiao Zhan, Ben Wang
2024Enhancing Relevance of Embedding-based Retrieval at Walmart.
Juexin Lin, Sachin Yadav, Feng Liu, Nicholas Rossi, Praveen Reddy Suram, Satya Chembolu, Prijith Chandran, Hrushikesh Mohapatra, Tony Lee, Alessandro Magnani, Ciya Liao
2024Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training.
Chang Su, Jiexing Qi, He Yan, Kai Zou, Zhouhan Lin
2024Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights.
Xiang-Rong Sheng, Feifan Yang, Litong Gong, Biao Wang, Zhangming Chan, Yujing Zhang, Yueyao Cheng, Yong-Nan Zhu, Tiezheng Ge, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
2024Enhancing Temporal and Geographical Named Entity Recognition in Chinese Ancient Texts with External Time-series Knowledge Bases.
Xiaotong Wang, Xuanning Liu, Shuai Zhong, Xinming Chen, Bin Wu
2024Enhancing the Completeness of Rationales for Multi-Step Question Answering.
Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu, Qi Liu
2024Ensembles for Outlier Detection and Evaluation.
Charu C. Aggarwal
2024Ericsogate: Advancing Analytics and Management of Data from Diverse Sources within Ericsson Using Knowledge Graphs.
Abdelghny Orogat, Sri Lakshmi Vadlamani, Dimple Thomas, Ahmed El-Roby
2024Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge.
Joshua Shay Kricheli, Khoa Vo, Aniruddha Datta, Spencer Ozgur, Paulo Shakarian
2024Evaluating Social Media Reach via Mainstream Media Discourse.
Himarsha R. Jayanetti
2024Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media.
Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang
2024ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification.
Umair Qudus, Michael Röder, Daniel Vollmers, Axel-Cyrille Ngonga Ngomo
2024Explainable Stock Price Movement Prediction using Contrastive Learning.
Kelvin Du, Rui Mao, Frank Xing, Erik Cambria
2024Explainable and Coherent Complement Recommendation Based on Large Language Models.
Zelong Li, Yan Liang, Ming Wang, Sungro Yoon, Jiaying Shi, Xin Shen, Xiang He, Chenwei Zhang, Wenyi Wu, Hanbo Wang, Jin Li, Jim Chan, Yongfeng Zhang
2024Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors.
Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan
2024Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity.
Hyunsoo Chung, Jungtaek Kim, Hyungeun Jo, Hyungwon Choi
2024Exploring High-Order User Preference with Knowledge Graph for Recommendation.
Caijun Xu, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Rui Liu
2024Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective.
Dandan Ni, Sheng Zhang, Cong Deng, Han Liu, Gang Chen, Minhao Cheng, Hongyang Chen
2024Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement.
Takumi Ohashi, Tsubasa Nakagawa, Hitoshi Iyatomi
2024FABLE: Approximate Butterfly Counting in Bipartite Graph Stream with Duplicate Edges.
Guozhang Sun, Yuhai Zhao, Yuan Li
2024FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks.
Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng
2024FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference.
Yuhao Zheng, Yishuo Cai, Zihao Cai, Changjun Fan, Senzhang Wang, Jianxin Wang
2024FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.
Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen
2024FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition.
Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang
2024Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning.
Jarren Briscoe, Assefaw H. Gebremedhin
2024FactCheckBureau: Build Your Own Fact-Check Analysis Pipeline.
Oana Balalau, Pablo Bertaud-Velten, Younes El Fraihi, Garima Gaur, Oana Goga, Samuel S. Guimarães, Ioana Manolescu, Brahim Saadi
2024Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.
Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang
2024FairRankTune: A Python Toolkit for Fair Ranking Tasks.
Kathleen Cachel, Elke A. Rundensteiner
2024Fairness in Large Language Models in Three Hours.
Thang Viet Doan, Zichong Wang, Nhat Nguyen Minh Hoang, Wenbin Zhang
2024FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings.
Zhen Wang, Da Li, Yulin Su, Min Yang, Minghui Qiu, Walton Wang
2024Fast Human Action Recognition via Millimeter Wave Radar Point Cloud Sequences Learning.
Tongfei Shao, Zheyu Du, Chuanyou Li, Tianxing Wu, Meng Wang
2024Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors.
Jun-Gi Jang, Yong-chan Park, U Kang
2024FastSimiFeat: A Fast and Generalized Approach Utilizing
Jungi Lee, Hwiwoo Park, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun
2024Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization.
Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Suranga Seneviratne, Wei Bao, Nguyen Hoang Tran
2024Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.
Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu
2024Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing.
Han Xie, Li Xiong, Carl Yang
2024Feedback Reciprocal Graph Collaborative Filtering.
Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang
2024Finding MIDDLE Ground: Scalable and Secure Distributed Learning.
Marco Bornstein, Nawaf Nazir, Ján Drgona, Soumya Kundu, Veronica Adetola
2024Flexi-clique: Exploring Flexible and Sub-linear Clique Structures.
Song Kim, Junghoon Kim, Susik Yoon, Jungeun Kim
2024Forecasting Live Chat Intent from Browsing History.
Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley
2024Fractional Budget Allocation for Influence Maximization under General Marketing Strategies.
Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal
2024Fragment Allocations for Partially Replicated Databases Considering Data Modifications and Changing Workloads.
Stefan Halfpap, Rainer Schlosser
2024From Retrieval to Generation: Efficient and Effective Entity Set Expansion.
Shulin Huang, Shirong Ma, Yangning Li, Yinghui Li, Hai-Tao Zheng
2024Frontiers of Large Language Model-Based Agentic Systems - Construction, Efficacy and Safety.
Jia He, Reshmi Ghosh, Kabir Walia, Jieqiu Chen, Tushar Dhadiwal, April Hazel, Chandra Inguva
2024G2PTL: A Geography-Graph Pre-trained Model.
Lixia Wu, Jianlin Liu, Junhong Lou, Minhui Deng, Jianbin Zheng, Haomin Wen, Chao Song, Shu He
2024GAD: A Generalized Framework for Anomaly Detection at Different Risk Levels.
Rulan Wei, Zewei He, Martin Pavlovski, Fang Zhou
2024GARF: A Self-supervised Data Cleaning System with SeqGAN.
Jinfeng Peng, Hanghai Cui, Derong Shen, Yue Kou, Tiezheng Nie, Tianlong Guo
2024GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning.
Edoardo Urettini, Daniele Atzeni, Reshawn Ramjattan, Antonio Carta
2024GLFNet: Global and Local Frequency-domain Network for Long-term Time Series Forecasting.
Xucheng Zhou, Yuwen Liu, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Xuyun Zhang, Yang Zhang, Xiaokang Zhou
2024GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices.
Thao Nguyen, Tiara Torres-Flores, Changhyun Hwang, Carl Edwards, Ying Diao, Heng Ji
2024GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation.
Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
2024GaQR: An Efficient Generation-augmented Question Rewriter.
Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng
2024GameTrail: Probabilistic Lifecycle Process Model for Deep Game Understanding.
Shanyang Jiang, Lan Zhang, Hui Xu, Jiahui Huang, Qi He, Xing Zhou, Lei Huang, Jie Jiang
2024General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting.
Cheng Feng, Long Huang, Denis Krompass
2024Generating Cross-model Analytics Workloads Using LLMs.
Xiuwen Zheng, Arun Kumar, Amarnath Gupta
2024Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems.
Ziliang Zhao, Zhicheng Dou, Yujia Zhou
2024Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise.
Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen
2024Generative AI for Energy: Multi-Horizon Power Consumption Forecasting using Large Language Models.
Kevin Roitero, Gianluca D'Abrosca, Andrea Zancola, Vincenzo Della Mea, Stefano Mizzaro
2024GeoAI for Natural Disaster Assessment.
Saugat Adhikari
2024GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding.
Yibo Yan, Joey Lee
2024GetCom: An Efficient and Generalizable Framework for Community Detection.
Kaiyu Xiong, Yucheng Jin, Yun Xiong, Jiawei Zhang
2024GongBu: Easily Fine-tuning LLMs for Domain-specific Adaptation.
Bolin Zhang, Yimin Tian, Shengwei Wang, Zhiying Tu, Dianhui Chu, Zhiqi Shen
2024Graph Anomaly Detection with Adaptive Node Mixup.
Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong
2024Graph Local Homophily Network for Anomaly Detection.
Ronghui Guo, Minghui Zou, Sai Zhang, Xiaowang Zhang, Zhizhi Yu, Zhiyong Feng
2024Graph-theoretical Approach to Enhance Accuracy of Financial Fraud Detection Using Synthetic Tabular Data Generation.
Dae-Young Park
2024GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning.
Chengcheng Yu, Jiapeng Zhu, Xiang Li
2024GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs.
Vipul Gupta, Xin Chen, Ruoyun Huang, Fanlong Meng, Jianjun Chen, Yujun Yan
2024GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-based Factor Modeling.
Yulong Jia, Guanxing Li, Ganlong Zhao, Xiangru Lin, Guanbin Li
2024GraphWeaver: Billion-Scale Cybersecurity Incident Correlation.
Scott Freitas, Amir Gharib
2024Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach.
Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
2024H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction.
Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang
2024HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training.
Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang
2024HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation.
Lu Zhang, Ning Wu
2024HTFabric: A Fast Re-ordering and Parallel Re-execution Method for a High-Throughput Blockchain.
Jaeyub Song, Juyeong Jeong, Jemin Lee, Inju Na, Min-Soo Kim
2024Hands-On Introduction to Quantum Machine Learning.
Samuel Yen-Chi Chen, Joongheon Kim
2024Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets.
Apoorva Upadhyaya, Wolfgang Nejdl, Marco Fisichella
2024HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis.
Dongxuan Han, Qi Liu, Siqi Lei, Shiwei Tong, Wei Huang
2024HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability.
Yoo Hyun Jeong, Sunghyun Hwang, Dong-Kyu Chae
2024HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.
Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection.
Juho Jung, Chaewon Kang, Jeewoo Yoon, Seungbae Kim, Jinyoung Han
2024HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation.
Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng
2024Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion.
Li Lin, Xinyao Chen, Kaiwen Xia, Shuai Wang, Desheng Zhang, Tian He
2024Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting.
Li Lin, Kaiwen Xia, Anqi Zheng, Shijie Hu, Shuai Wang
2024Hierarchical Structure Construction on Hypergraphs.
Qi Luo, Wenjie Zhang, Zhengyi Yang, Dong Wen, Xiaoyang Wang, Dongxiao Yu, Xuemin Lin
2024Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation.
Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner
2024Hol-Light: A Holistic framework for Efficient and Dynamic Traffic Signal Management.
Siyao Qiao, Jia Wu
2024Honest-Majority Maliciously Secure Skyline Queries on Outsourced Data.
Yu Chen, Lin Liu, Rongmao Chen, Shaojing Fu, Yuexiang Yang
2024How Much Do Prompting Methods Help LLMs on Quantitative Reasoning with Irrelevant Information?
Seok Hwan Song, Wallapak Tavanapong
2024How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval.
Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie
2024Human-in-the-Loop Feature Discovery for Tabular Data.
Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Rihan Hai, Asterios Katsifodimos
2024HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures.
Eric Wonhee Lee, Bo Xiong, Carl Yang, Joyce C. Ho
2024Hyperbolic Contrastive Learning for Cross-Domain Recommendation.
Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min
2024Hyperedge Importance Estimation via Identity-aware Hypergraph Attention Network.
Yin Chen, Xiaoyang Wang, Chen Chen
2024Hypergraph Hash Learning for Efficient Trajectory Similarity Computation.
Yuan Cao, Lei Li, Xiangru Chen, Xue Xu, Zuojin Huang, Yanwei Yu
2024IEcons: A New Consensus Approach Using Multi-Text Representations for Clustering Task.
Karima Boutalbi, Rafika Boutalbi, Hervé Verjus, Kavé Salamatian, David Telisson, Olivier Le Van
2024ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models.
Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu
2024ITIU: Intention Understanding via Interactive Table in Large Language Models.
Zenghua Liao, Jinzhi Liao, Xiang Zhao
2024Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks.
Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
2024Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages.
Shuai Xu, Jianqiu Xu, Shuo Yu, Bohan Li
2024Image-text Retrieval with Main Semantics Consistency.
Yi Xie, Yangtao Wang, Yanzhao Xie, Xin Tan, Jingjing Li, Xiaocui Li, Weilong Peng, Maobin Tang, Meie Fang
2024Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling.
Anushya Subbiah, Steffen Rendle, Vikram Aggarwal
2024Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack.
Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen
2024Improving German News Clustering with Contrastive Learning.
Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Zünd
2024Improving Message-Passing GNNs by Asynchronous Aggregation.
Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng
2024Improving Prompt-based News Recommendation with Individual Template and Customized Answer.
Yijiang Li, Jun Wu
2024In Situ Answer Sentence Selection at Web-scale.
Zeyu Zhang, Thuy Vu, Alessandro Moschitti
2024Inductive Knowledge Graph Embedding via Exploring Interaction Patterns of Relations.
Chong Mu, Lizong Zhang, Jinchuan Zhang, Qian Huang, Zhiguo Wang
2024Inferring Information Diffusion Networks without Timestamps.
Yuchen Wang, Dongpeng Hou, Chao Gao, Xianghua Li, Zhen Wang
2024Inferring Visualization Intent from Conversation.
Haotian Li, Nithin Chalapathi, Huamin Qu, Alvin Cheung, Aditya G. Parameswaran
2024InfinityMath: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning.
Bo-Wen Zhang, Yan Yan, Lin Li, Guang Liu
2024InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data.
Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu
2024Information Retrieval Optimization for Non-Exemplar Class Incremental Learning.
Shuai Guo, Yang Gu, Yuan Ma, Yingwei Zhang, Weining Weng, Jun Liu, Weiwei Dai, Yiqiang Chen
2024Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness.
David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu
2024Integrating Structure and Text for Enhancing Hyper-relational Knowledge Graph Representation via Structure Soft Prompt Tuning.
Lijie Li, Hui Wang, Jiahang Li, Xiaodi Xu, Ye Wang, Tao Ren
2024Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution.
Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang
2024International Workshop on Online and Adaptive Recommender Systems (OARS 2024).
Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2024Interpretable Triplet Importance for Personalized Ranking.
Bowei He, Chen Ma
2024Intricate Object Detection in Self Driving Environments with Edge-Adaptive Depth Estimation(EADE).
SuBi Kim, Jieun Kang, Yongik Yoon
2024Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning.
Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
2024Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics.
Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2024Is the Search Engine of the Future a Chatbot?
Suzan Verberne
2024KMCT:
Yuanjun Liu, Guanfeng Liu, Qingzhi Ma, Zhixu Li, Shiting Wen, Lei Zhao, An Liu
2024Knowledge Graphs for Responsible AI.
Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan
2024Knowledge-enhanced Dynamic Modeling framework for Multi-Behavior Recommendation.
Xiujuan Li, Nan Wang, Jin Zeng, Yingli Zhong, Zhonghui Shen
2024L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection.
Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li
2024LAMRec: Label-aware Multi-view Drug Recommendation.
Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui
2024LAPIS: Language Model-Augmented Police Investigation System.
Heedou Kim, Dain Kim, Jiwoo Lee, Chanwoong Yoon, Donghee Choi, Mogan Gim, Jaewoo Kang
2024LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection.
Woochang Hyun, Insoo Lee, Bongwon Suh
2024LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN.
Teng-Yuan Tsou, Shih-Yu Lai, Hsuan-Ching Chen, Jung-Tsang Yeh, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh
2024LLM-Empowered Few-Shot Node Classification on Incomplete Graphs with Real Node Degrees.
Yun Li, Yi Yang, Jiaqi Zhu, Hui Chen, Hongan Wang
2024LLM-PQA: LLM-enhanced Prediction Query Answering.
Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai
2024LLM-based Automated Web Retrieval and Text Classification of Food Sharing Initiatives.
Hao Wu, Hyunji Cho, Anna R. Davies, Gareth J. F. Jones
2024LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions.
Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer
2024LLaVA-Chef: A Multi-modal Generative Model for Food Recipes.
Fnu Mohbat, Mohammed J. Zaki
2024LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts.
Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou
2024LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting.
Hubert Truchan, Christian Kalfar, Zahra Ahmadi
2024LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting.
Linsen Li, Chunfei Jian, Feng Wan, Dongdong Geng, Ziquan Fang, Lu Chen, Yunjun Gao, Weihao Jiang, Jiang Zhu
2024Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation.
Tianli Zhang, Tongya Zheng, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song
2024Large Language Models Enhanced Collaborative Filtering.
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2024LawLLM: Law Large Language Model for the US Legal System.
Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang
2024LayerPlexRank: Exploring Node Centrality and Layer Influence through Algebraic Connectivity in Multiplex Networks.
Hao Ren, Jiaojiao Jiang
2024LeDQA: A Chinese Legal Case Document-based Question Answering Dataset.
Bulou Liu, Zhenhao Zhu, Qingyao Ai, Yiqun Liu, Yueyue Wu
2024Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL.
Wenshuo Zhai, Xiang Zhao, Jinzhi Liao, Ziyang Chen
2024Learnable Item Tokenization for Generative Recommendation.
Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2024Learning Counterfactual Explanations with Intervals for Time-series Classification.
Akihiro Yamaguchi, Ken Ueno, Ryusei Shingaki, Hisashi Kashima
2024Learning Cross-modal Knowledge Reasoning and Heuristic-prompt for Visual-language Navigation.
Dongming Zhou, Zhengbin Pang, Wei Li
2024Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.
Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024Learning Links for Adaptable and Explainable Retrieval.
Jianqiang Shen, Yuchin Juan, Ping Liu, Wen Pu, Shaobo Zhang, Qianqi Shen, Liangjie Hong, Wenjing Zhang
2024Learning Prompt-Level Quality Variance for Cost-Effective Text-to-Image Generation.
Dongkeun Lee, Wonjun Lee
2024Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion.
Zhuofeng Li, Haoxiang Zhang, Qiannan Zhang, Ziyi Kou, Shichao Pei
2024Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.
Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen
2024Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition.
Zhipang Wang, Yu Hong, Yuxiang Lu, Xiabing Zhou, Jianmin Yao, Guodong Zhou
2024Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models.
Qiong Nan, Qiang Sheng, Juan Cao, Beizhe Hu, Danding Wang, Jintao Li
2024Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems.
Andrea Colombo
2024Leveraging Large Language Models for Improving Keyphrase Generation for Contextual Targeting.
Xiao Bai, Xue Wu, Ivan Stojkovic, Kostas Tsioutsiouliklis
2024Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach.
Ruo Yang, Binghui Wang, Mustafa Bilgic
2024Leveraging Trustworthy Node Attributes for Effective Network Alignment.
Dong-Hyuk Seo, Jae-Hwan Lim, Won-Yong Shin, Sang-Wook Kim
2024LiNR: Model Based Neural Retrieval on GPUs at LinkedIn.
Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta
2024Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance.
Marco Minici, Federico Cinus, Francesco Bonchi, Giuseppe Manco
2024Long-Term Hydrologic Time Series Prediction with LSPM.
Sicheng Zhou, David C. Anastasiu
2024Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs.
Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2024Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling.
Anandharaju Durai Raju, Ke Wang
2024M
Zhiwei Zha, Jiaan Wang, Zhixu Li, Xiangru Zhu, Wei Song, Yanghua Xiao
2024M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging.
Anurag Shandilya, Kalash Shah, Bhavik Kanekar, Akshat Gautam, Pavni Tandon, Ganesh Ramakrishnan, Kshitij S. Jadhav
2024M3: A Multi-Image Multi-Modal Entity Alignment Dataset.
Shiqi Zhang, Weixin Zeng, Zhen Tan, Xiang Zhao, Weidong Xiao
2024MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction.
Mengyu Wang, Tiejun Ma
2024MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation.
Hyunsoo Kim, Junyoung Kim, Minjin Choi, Sunkyung Lee, Jongwuk Lee
2024MATCC: A Novel Approach for Robust Stock Price Prediction Incorporating Market Trends and Cross-time Correlations.
Zhiyuan Cao, Jiayu Xu, Chengqi Dong, Peiwen Yu, Tian Bai
2024MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.
Phan Nguyen Minh Thao, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David S. Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng
2024MERLIN: Multimodal & Multilingual Embedding for Recommendations at Large-scale via Item Associations.
Sambeet Tiady, Arihant Jain, Dween Rabius Sanny, Khushi Gupta, Srinivas Virinchi, Swapnil Gupta, Anoop Saladi, Deepak Gupta
2024MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation.
Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo
2024MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction.
Fanmeng Wang, Wentao Guo, Minjie Cheng, Shen Yuan, Hongteng Xu, Zhifeng Gao
2024MOAT: Graph Prompting for 3D Molecular Graphs.
Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao
2024MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search.
Peng Cheng, Huimu Wang, Jinyuan Zhao, Yihao Wang, Enqiang Xu, Yu Zhao, Zhuojian Xiao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu
2024MPHDetect: Multi-View Prompting and Hypergraph Fusion for Malevolence Detection in Dialogues.
Bo Xu, Xuening Qiao, Hongfei Lin, Linlin Zong
2024MSG-Chart: Multimodal Scene Graph for ChartQA.
Yue Dai, Soyeon Caren Han, Wei Liu
2024MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples.
Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng
2024MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting.
Zehao Gu, Shiyang Zhou, Yun Xiong, Yang Luo, Hongrun Ren, Qiang Wang, Xiaofeng Gao, Philip S. Yu
2024MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation.
Jianping Zhou, Junhao Li, Guanjie Zheng, Xinbing Wang, Chenghu Zhou
2024MV-BART: Multi-view BART for Multi-modal Sarcasm Detection.
Xingjie Zhuang, Fengling Zhou, Zhixin Li
2024MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions.
Qinchen Yang, Zejun Xie, Hua Wei, Desheng Zhang, Yu Yang
2024Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval.
Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao
2024Mastodoner: A Command-line Tool and Python Library for Public Data Collection from Mastodon.
Haris Bin Zia, Ignacio Castro, Gareth Tyson
2024MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024Meta-Prompt Tuning Vision-Language Model for Multi-Label Few-Shot Image Recognition.
Feng Zhang, Wei Chen, Fei Ding, Tengjiao Wang, Dawei Lu, Jiabin Zheng
2024Mining Path Association Rules in Large Property Graphs.
Yuya Sasaki, Panagiotis Karras
2024Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation.
Gaode Chen, Yuezihan Jiang, Rui Huang, Kuo Cai, Yunze Luo, Ruina Sun, Qi Zhang, Han Li, Kun Gai
2024Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach.
Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen
2024Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits.
Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2024Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking.
Alessandro Sbandi, Federico Siciliano, Fabrizio Silvestri
2024MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs.
Jiantao Li, Jianpeng Qi, Yueling Huang, Lei Cao, Yanwei Yu, Junyu Dong
2024Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation.
Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang
2024Momentum Contrastive Bidirectional Encoding with Self-Distillation for Sequential Recommendation.
Dingyi Zhang, Haoyu Wenren, Yue Wang, Yingming Li
2024Moving Region Representations on the Spread of a Forest Fire.
Henrique Macías da Silva, Tiago F. R. Ribeiro, Rogério Luís de C. Costa, José Manuel Moreira
2024MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation.
Seunghan Lee, Geonwoo Ko, Hyun-Je Song, Jinhong Jung
2024Multi-Behavior Generative Recommendation.
Zihan Liu, Yupeng Hou, Julian J. McAuley
2024Multi-DSI: Non-deterministic Identifier and Concept Alignment for Differentiable Search Index.
Yu-Ze Liu, Jyun-Yu Jiang, Pu-Jen Cheng
2024Multi-Granularity Modeling in Recommendation: from the Multi-Scenario Perspective.
Yuhao Wang
2024Multi-Graph Explorer: A Framework for Advanced Multi-Graph Analysis and Method Development.
Yorgos Tsitsikas, Evangelos E. Papalexakis
2024Multi-Modal Sarcasm Detection via Graph Convolutional Network and Dynamic Network.
Jiaqi Hao, Junfeng Zhao, Zhigang Wang
2024Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification.
Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai
2024Multi-Stage Refined Visual Captioning for Baidu Ad Creatives Generation.
Yi Yang, Xinyu Zhao, Kang Zhao, Zhipeng Jin, Wen Tao, Lin Liu, Shuanglong Li
2024Multi-Task Modeling of Student Knowledge and Behavior.
Siqian Zhao, Sherry Sahebi
2024Multi-Task Recommendation with Task Information Decoupling.
Ruiran Yan, Rui Fan, Defu Lian
2024Multi-modal Food Recommendation with Health-aware Knowledge Distillation.
Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui
2024Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations.
Jiahao Chen, Zitao Liu, Mingliang Hou, Xiangyu Zhao, Weiqi Luo
2024Multi-view Causal Graph Fusion Based Anomaly Detection in Cyber-Physical Infrastructures.
Arun Vignesh Malarkkan, Dongjie Wang, Yanjie Fu
2024Multi-view Temporal Knowledge Graph Reasoning.
Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang
2024MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation.
Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Kaigui Bian, Bin Cui
2024Multimodal Misinformation Detection using Large Vision-Language Models.
Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
2024Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.
Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou
2024Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.
Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng
2024Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover Design.
Joong Ho Choi, Geonyeong Choi, Ji Eun Han, Wonjin Yang, Zhi-Qi Cheng
2024NC
Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
2024Natural Language-Assisted Multi-modal Medication Recommendation.
Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2024Navigating the Landscape of Reproducible Research: A Predictive Modeling Approach.
Akhil Pandey Akella, Sagnik Ray Choudhury, David Koop, Hamed Alhoori
2024Neural Additive Tensor Decomposition for Sparse Tensors.
Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani
2024NeutronCache: An Efficient Cache-Enhanced Distributed Graph Neural Network Training System.
Chu Zhao, Shengjie Dong, Yuhai Zhao, Yuan Li
2024New Localization Frameworks: User-centric Approaches to Source Localization in Real-world Propagation Scenarios.
Dongpeng Hou, Yuchen Wang, Chao Gao, Xianghua Li, Zhen Wang
2024No Query Left Behind: Query Refinement via Backtranslation.
Delaram Rajaei, Zahra Taheri, Hossein Fani
2024Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.
Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024Nonparametric Estimation of Non-Smooth Divergences.
M. Mahbub Hossain, Alan Wisler, Kevin R. Moon
2024Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations.
Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng
2024Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning.
Jongchan Park, Seungjun Oh, Yusung Kim
2024Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models.
Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
2024On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems.
Siyu Wang, Xiaocong Chen, Lina Yao
2024On Evaluation Metrics for Diversity-enhanced Recommendations.
Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, Kenli Li
2024On the Fly Detection of Root Causes from Observed Data with Application to IT Systems.
Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
2024On the Sensitivity of Individual Fairness: Measures and Robust Algorithms.
Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong
2024On the Use of Large Language Models for Table Tasks.
Yuyang Dong, Masafumi Oyamada, Chuan Xiao, Haochen Zhang
2024OpenTOS: Open-source System for Transfer Learning Bayesian Optimization.
Peili Mao, Ke Li
2024OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction.
Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He
2024Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models.
Jia-Hong Huang, Chao-Chun Yang, Yixian Shen, Alessio M. Pacces, Evangelos Kanoulas
2024Osprey 🪶: A Reference Framework for Online Grooming Detection via Neural Models and Conversation Features.
Hamed Waezi, Reza Barzegar, Hossein Fani
2024Out-of-Distribution Aware Classification for Tabular Data.
Amirhossein Ansari, Ke Wang, Pulei Xiong
2024Over-penalization for Extra Information in Neural IR Models.
Kota Usuha, Makoto P. Kato, Sumio Fujita
2024P-Rank+: A Scalable Efficient P-Rank Search Algorithm.
Maoyin Zhang, Weiren Yu
2024PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation.
Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, Xiongnan Jin
2024PARs: Predicate-based Association Rules for Efficient and Accurate Anomaly Explanation.
Cheng Feng
2024PIECE: Protagonist Identification and Event Chronology Extraction for Enhanced Timeline Summarization.
Tz-Huan Hsu, Li-Hsuan Chin, Yen-Hao Huang, Yi-Shin Chen
2024PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning.
Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2024PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.
Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou
2024PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters.
Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas
2024PP4RNR: Popularity- and Position-Aware Contrastive Learning for Retrieval-Driven News Recommendation.
Wenwei Chen, Yewang Chen
2024PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations.
Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma, Chengwei Pan
2024PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks.
Bowen Deng, Jialong Chen, Yanming Hu, Zhiyong Xu, Chuan Chen, Tao Zhang
2024PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding.
Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia
2024PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks.
Zhangzhi Peng
2024PTSR: Prefix-Target Graph-based Sequential Recommendation.
Jiayu Chen, Xiaoyu Du, Yonghua Pan, Jinhui Tang
2024Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations.
Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
2024Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale.
Yangxin Fan, Raymond Wieser, Laura S. Bruckman, Roger H. French, Yinghui Wu
2024Pareto-based Multi-Objective Recommender System with Forgetting Curve.
Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li, Xiaofeng Gao, Xiongwen Yang, Lei Xiao, Jie Jiang
2024Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series.
Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle, Lianyan Li
2024Personalized Video Summarization by Multimodal Video Understanding.
Brian Y. Chen, Xiangyuan Zhao, Yingnan Zhu
2024Physics-guided Active Sample Reweighting for Urban Flow Prediction.
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024Planes, Trains and Automobiles: Leverage Multimodal In-Mission Signals for Shopping Journeys.
Viet Ha-Thuc, Shasha Li, Arnau Ramisa, Xinliang Zhu
2024PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
Xiusi Chen, Wei-Yao Wang, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
2024PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks.
Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim
2024Post-Quantum Searchable Encryption Supporting User-Authorization for Outsourced Data Management.
Shiyuan Xu, Yibo Cao, Xue Chen, Yu Guo, Yuer Yang, Fangda Guo, Siu-Ming Yiu
2024Post-Training Embedding Enhancement for Long-Tail Recommendation.
Geon Lee, Kyungho Kim, Kijung Shin
2024Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank.
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024Precision Meets Resilience: Cross-Database Generalization with Uncertainty Quantification for Robust Cost Estimation.
Shuhuan Fan, Mengshu Hou, Rui Xi, Wenwen Ma
2024Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement.
Zhikai Xue, Guoxiu He, Zhuoren Jiang, Sichen Gu, Yangyang Kang, Star Zhao, Wei Lu
2024Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation.
Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Lei Guo, Hongzhi Yin
2024Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.
Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
2024Preserving Old Memories in Vivid Detail: Human-Interactive Photo Restoration Framework.
Seung-Yeon Back, Geonho Son, Dahye Jeong, Eunil Park, Simon S. Woo
2024Prioritized Binary Transformation Method for Efficient Multi-label Classification of Data Streams with Many Labels.
Onur Yildirim, Sepehr Bakhshi, Fazli Can
2024Privacy-Preserving Graph Embedding based on Local Differential Privacy.
Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang
2024Privacy-preserving Spatial Dataset Search in Cloud.
Pengyue Li, Hua Dai, Sheng Wang, Wenzhe Yang, Geng Yang
2024Probabilistic Path Integration with Mixture of Baseline Distributions.
Yehonatan Elisha, Oren Barkan, Noam Koenigstein
2024Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Edoardo Serra, Francesca Spezzano
2024Process-Informed Deep Learning for Enhanced Order Fulfillment Cycle Time Prediction in On-Demand Grocery Retailing.
Jiawen Wei, Ziwen Ye, Chuan Yang, Chen Chen, Guangrui Ma
2024Product Retrieval and Ranking for Alphanumeric Queries.
Hadeel Saadany, Swapnil Bhosale, Samarth Agrawal, Zhe Wu, Constantin Orasan, Diptesh Kanojia
2024Professionalism-Aware Pre-Finetuning for Profitability Ranking.
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
2024Progressive Label Disambiguation for Partial Label Learning in Homogeneous Graphs.
Rajat Patel, Aakarsh Malhotra, Sudipta Modak, Siddharth Yerramsetty
2024Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans.
Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv
2024Prompt-Based Spatio-Temporal Graph Transfer Learning.
Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann
2024Quality Prediction in Arc Welding: Leveraging Transformer Models and Discrete Representations from Vector Quantised-VAE.
Yannik Hahn, Robert F. Maack, Hasan Tercan, Tobias Meisen, Marion Purrio, Guido Buchholz, Matthias Angerhausen
2024Quantifying Uncertainty in Neural Networks through Residuals.
Dalavai Udbhav Mallanna, Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K. Kurmi
2024Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks.
Jinkun Han, Wei Li, Yingshu Li, Zhipeng Cai
2024Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs.
Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty, Prithwiraj Roy, Aniruddha Maiti
2024QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications.
Ritvik Setty, Vinay Setty
2024RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.
Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2024RD-P: A Trustworthy Retrieval-Augmented Prompter with Knowledge Graphs for LLMs.
Yubo Huang, Guosun Zeng
2024REAPER: Reasoning based Retrieval Planning for Complex RAG Systems.
Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney, Sreyashi Nag, Shrivats Agrawal, Juhi Naik
2024RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders.
Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov
2024REDI: Recurrent Diffusion Model for Probabilistic Time Series Forecasting.
Shiyang Zhou, Zehao Gu, Yun Xiong, Yang Luo, Qiang Wang, Xiaofeng Gao
2024RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay.
Hanjie Li, Yue Ning, Yang Bao, Changsheng Li, Boxiao Chen, Xingyu Lu, Ye Yuan, Guoren Wang
2024ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems.
Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang
2024Re-evaluating the Command-and-Control Paradigm in Conversational Search Interactions.
Johanne R. Trippas, Luke Gallagher, Joel Mackenzie
2024RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model.
Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu
2024Realistic Synthetic Signed Network Generation and Analysis.
Aikta Arya
2024RecDiff: Diffusion Model for Social Recommendation.
Zongwei Li, Lianghao Xia, Chao Huang
2024RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models.
Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li
2024Refining Wikidata Taxonomy using Large Language Models.
Yiwen Peng, Thomas Bonald, Mehwish Alam
2024Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning.
Gangyi Zhang, Chongming Gao, Hang Pan, Runzhe Teng, Ruizhe Li
2024Regularized Unconstrained Weakly Submodular Maximization.
Yanhui Zhu, Samik Basu, A. Pavan
2024Reinforcement Feature Transformation for Polymer Property Performance Prediction.
Xuanming Hu, Dongjie Wang, Wangyang Ying, Yanjie Fu
2024Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Sample Selection.
Zhikai Wang, Yanyan Shen, Zexi Zhang, Li He, Yichun Li, Hao Gu, Yinghua Zhang
2024Relevance Filtering for Embedding-based Retrieval.
Nicholas Rossi, Juexin Lin, Feng Liu, Zhen Yang, Tony Lee, Alessandro Magnani, Ciya Liao
2024Reliable Knowledge Graph Reasoning with Uncertainty Quantification.
Bo Ni
2024Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction.
Qi Yu, Weilong Ding, Hao Zhang, Yang Yang, Tianpu Zhang
2024Retrieval Augmented Deep Anomaly Detection for Tabular Data.
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan
2024Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang
2024Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.
Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024Retrogressive Document Manipulation of US Federal Environmental Websites.
Lesley Frew, Michael L. Nelson, Michele C. Weigle
2024RevEx: An Online Consumer Reviews Extraction Tool.
Julián Alarte, Carlos Galindo, Carlos Martín, Josep Silva
2024Revealing the Power of Masked Autoencoders in Traffic Forecasting.
Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary
2024Reviewerly: Modeling the Reviewer Assignment Task as an Information Retrieval Problem.
Negar Arabzadeh, Sajad Ebrahimi, Sara Salamat, Mahdi Bashari, Ebrahim Bagheri
2024Revisit Orthogonality in Graph-Regularized MLPs.
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2024Revisiting Optimal Window Aggregation in Data Streams: The Prefix-Sum Approach.
José Martinez, Guillaume Raschia
2024Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs.
Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su
2024Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration.
Wangyang Ying, Dongjie Wang, Xuanming Hu, Ji Qiu, Jin Park, Yanjie Fu
2024Robust Federated Unlearning.
Xinyi Sheng, Wei Bao, Liming Ge
2024Robust Heterophily Graph Learning via Uniformity Augmentation.
Xusheng Yang, Zhengyu Chen, Yuexian Zou
2024Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering.
Shuaibin Huang, Yun Xiong, Yi Xie, Tianyu Qiu, Guangzhong Wang
2024SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.
Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu
2024SGES: A General and Space-efficient Framework for Graphlet Counting in Graph Streams.
Chen Yang, Lailong Luo, Yuliang Lu, Chu Huang, Qianzhen Zhang, Guozheng Yang, Deke Guo
2024SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning.
Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou
2024SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection.
Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong
2024SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2024SOUP: A Unified Shopping Query Suggestion Framework to Optimize Language Model with User Preference.
Xu Meng, Zhaohui Luo, Xinxin Wang, Wen Jiang, Wei Ning, Shuhan Qi
2024ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory.
Biao Yang, Yun Xiong, Xi Chen, Xuejing Feng, Meng Wang, Jun Ma
2024STAR: Sparse Text Approach for Recommendation.
Anna Tigunova, Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
2024STIR: Siamese Transformer for Image Retrieval Postprocessing.
Aleksei Shabanov, Aleksei Tarasov, Sergey I. Nikolenko
2024STaR: Space and Time-aware Statistic Query Answering.
Oana Balalau, Simon Ebel, Helena Galhardas, Théo Galizzi, Ioana Manolescu
2024SVIPTR: Fast and Efficient Scene Text Recognition with Vision Permutable Extractor.
Xianfu Cheng, Weixiao Zhou, Xiang Li, Jian Yang, Hang Zhang, Tao Sun, Wei Zhang, Yuying Mai, Tongliang Li, Xiaoming Chen, Zhoujun Li
2024SaLa: Scenario-aware Label Graph Interaction for Multi-intent Spoken Language Understanding.
Zhihong Zhu, Xuxin Cheng, Zhanpeng Chen, Zhichang Wang, Zhiqi Huang, Yuexian Zou
2024Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions.
Evelyn Navarrete, Ralph Ewerth, Anett Hoppe
2024Scalable Dynamic Embedding Size Search for Streaming Recommendation.
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024Scalable Expressiveness through Preprocessed Graph Perturbations.
Danial Saber, Amirali Salehi-Abari
2024Scalable Transformer for High Dimensional Multivariate Time Series Forecasting.
Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir
2024Scalable Unsupervised Feature Selection with Reconstruction Error Guarantees via QMR Decomposition.
Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic
2024Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.
Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao
2024Scaling Vison-Language Foundation Model to 12 Billion Parameters in Baidu Dynamic Image Advertising.
Xinyu Zhao, Kang Zhao, Zhipeng Jin, Yi Yang, Wen Tao, Xiaodong Chen, Cong Han, Shuanglong Li, Lin Liu
2024Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction.
Shuhao Li, Yue Cui, Jingyi Xu, Jing Zhao, Fan Zhang, Weidong Yang, Xiaofang Zhou
2024Self-Supervision Improves Diffusion Models for Tabular Data Imputation.
Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
2024Self-supervised One-Stage Learning for RF-based Multi-Person Pose Estimation.
Seunghwan Shin, Yusung Kim
2024Semantic Prototypes: Enhancing Transparency without Black Boxes.
Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis, Edmund Dervakos, Giorgos Stamou
2024Sequence-level Semantic Representation Fusion for Recommender Systems.
Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Daoyuan Wang, Hongyu Wang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao
2024Sequential Optimum Test with Multi-armed Bandits for Online Experimentation.
Fang Kong, Penglei Zhao, Shichao Han, Yong Wang, Shuai Li
2024Shaded Route Planning Using Active Segmentation and Identification of Satellite Images.
Longchao Da, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel, Hua Wei
2024Shape-aware Graph Spectral Learning.
Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024SmartHash: Perceptual Hashing for Image Tampering Detection and Authentication.
Priyanka Samanta, Shweta Jain
2024Social Influence Learning for Recommendation Systems.
Ximing Chen, Pui Ieng Lei, Yijun Sheng, Yanyan Liu, Zhiguo Gong
2024Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
Yipei Xu, Dakuan Lu, Jiaqing Liang, Jin Zhao, Xintao Wang, Hengkui Wu, Ken Chen, Liujiang Liu, Yingsi Xin, Xuepeng Liu, Yanghua Xiao, Zhixu Li
2024Span Confusion is All You Need for Chinese Spelling Correction.
Dezhi Ye, Haomei Jia, Bowen Tian, Jie Liu, Haijin Liang, Jin Ma, Wenmin Wang
2024Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity.
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon M. Jose
2024SparseBF: Enhancing Scalability and Efficiency for Sparsely Filled Privacy-Preserving Record Linkage.
Han Xu, Yuhong Shao, Kareem Benaissa, Yutong Li
2024Spatio-Temporal Sequence Modeling for Traffic Signal Control.
Qian Sun, Le Zhang, Jingbo Zhou, Rui Zha, Yu Mei, Chujie Tian, Hui Xiong
2024Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting.
Jing He, Junzhong Ji, Minglong Lei
2024Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction.
Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong
2024Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.
Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li
2024Spectral-Aware Augmentation for Enhanced Graph Representation Learning.
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
2024Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.
Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem
2024Submodular Optimization: Variants, Theory and Applications.
Yanhui Zhu
2024SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks.
Xiaotong Sun, Peijie Qiu, Shengfan Zhang
2024Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods.
Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari
2024TESSM: Tree-based Selective State Space Models for Efficient Join Order Selection Learning.
Yaohui Chu, Yizhe Liu, Yue Zhang, Xuan Hou, Longfei Yu, Zhaohui Peng
2024TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2024TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.
Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, Jing Lu, Yiqun Hui, Xingchao Cao, Zeyu Yang, Yichen Zheng, Dewei Leng, Kai Zheng, Chenbin Zhang, Yanan Niu, Yang Song, Kun Gai
2024Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction.
Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng
2024Tabular Data-centric AI: Challenges, Techniques and Future Perspectives.
Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu
2024Tackling Noisy Clients in Federated Learning with End-to-end Label Correction.
Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu
2024Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation.
Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li
2024The 'Path' to Clarity: Identifying False Claims Through a Knowledge Graph Exploration.
Wenbo Wang
2024The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA
Jiejun Xu, Hanghang Tong, Andrea L. Bertozzi
2024The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective.
Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen
2024The Effect of Icon Semantic Distance on Preschool Children's Information Search: Evidence from an Eye-Tracking Study.
Jiaqi Yang, Pianran Wang
2024The Elusiveness of Detecting Political Bias in Language Models.
Riccardo Lunardi, David La Barbera, Kevin Roitero
2024The Factuality of Large Language Models in the Legal Domain.
Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek
2024The Impact of External Sources on the Friedkin-Johnsen Model.
Charlotte Out, Sijing Tu, Stefan Neumann, Ahad N. Zehmakan
2024The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networks.
Sarah Condran
2024Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors.
Matt Gorbett, Hossein Shirazi, Indrakshi Ray
2024Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models.
Hyunseung Chung, Sumin Jo, Yeonsu Kwon, Edward Choi
2024Time-Sensitve Retrieval-Augmented Generation for Question Answering.
Feifan Wu, Lingyuan Liu, Wentao He, Ziqi Liu, Zhiqiang Zhang, Haofen Wang, Meng Wang
2024Time-Series Representation Learning via Dual Reference Contrasting.
Rui Yu, Yongshun Gong, Shoujin Wang, Jiasheng Si, Xueping Peng, Bing Xu, Wenpeng Lu
2024To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang
2024Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach.
Yuchen Yan, Yongyi Hu, Qinghai Zhou, Shurang Wu, Dingsu Wang, Hanghang Tong
2024Topology-aware Retrieval Augmentation for Text Generation.
Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
2024Towards Advancing Text-Based User and Item Representation in Personalized Recommendation.
Hanjia Lyu
2024Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search.
Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao, Li Yuan
2024Towards Better Utilization of Multiple Views for Bundle Recommendation.
Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin
2024Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph.
Kaichen Zhao, Yaoxian Song, Haiquan Zhao, Haoyu Liu, Tiefeng Li, Zhixu Li
2024Towards Completeness-Oriented Tool Retrieval for Large Language Models.
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024Towards Deconfounded Visual Question Answering via Dual-causal Intervention.
Daowan Peng, Wei Wei
2024Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility.
Chenxing Wang
2024Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools.
Ruijie Wang, Wanyu Zhao, Dachun Sun, Charith Mendis, Tarek F. Abdelzaher
2024Towards Energy-Efficient Llama2 Architecture on Embedded FPGAs.
Han Xu, Xingyuan Wang, Shihao Ji
2024Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation.
Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar
2024Towards Making Effective Machine Learning Decisions Against Out-of-Distribution Data.
Lakpa Dorje Tamang
2024Towards Online and Safe Configuration Tuning with Semi-supervised Anomaly Detection.
Haitian Chen, Xu Chen, Zibo Liang, Xiushi Feng, Jiandong Xie, Han Su, Kai Zheng
2024Towards Real-Time and Personalized Code Generation.
Han Xu, Xingyuan Wang, Haipeng Chen
2024Towards Robust Vision Transformer via Masked Adaptive Ensemble.
Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng
2024Towards Seamless User Query to REST API Conversion.
Han Xu
2024Towards Uncertainty Quantification for Time Series Segmentation.
Erick Draayer, Huiping Cao
2024Towards a Zero-Day Anomaly Detector in Cyber Physical Systems Using a Hybrid VAE-LSTM-OCSVM Model.
Romarick Yatagha, Betelhem Nebebe, Karl Waedt, Christoph Ruland
2024ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos.
Krishanu Maity, A. S. Poornash, Sriparna Saha, Kitsuchart Pasupa
2024TrafCL: Robust Encrypted Malicious Traffic Detection via Contrastive Learning.
Xiaodu Yang, Sijie Ruan, Jinyu Li, Yinliang Yue, Bo Sun
2024Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences.
Kun Yue, Zhiwei Qi, Liang Duan
2024Transformer for Point Anomaly Detection.
Harim Kim, Chang Ha Lee, Charmgil Hong
2024Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice.
Eric Xu, Wenbin Zhang, Weifeng Xu
2024Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning.
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2024Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys.
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