| 2023 | 'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes. Manish Chandra, Debasis Ganguly, Tulika Saha, Iadh Ounis |
| 2023 | 3MN: Three Meta Networks for Multi-Scenario and Multi-Task Learning in Online Advertising Recommender Systems. Yifei Zhang, Hua Hua, Hui Guo, Shuangyang Wang, Chongyu Zhong, Shijie Zhang |
| 2023 | A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou |
| 2023 | A Co-training Approach for Noisy Time Series Learning. Weiqi Zhang, Jianfeng Zhang, Jia Li, Fugee Tsung |
| 2023 | A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia. Aitolkyn Baigutanova, Diego Sáez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragón |
| 2023 | A Data-Driven Index Recommendation System for Slow Queries. Gan Peng, Peng Cai, Kaikai Ye, Kai Li, Jinlong Cai, Yufeng Shen, Han Su |
| 2023 | A Deep Conditional Generative Approach for Constrained Community Detection. Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li, Yong Tang |
| 2023 | A Flash Attention Transformer for Multi-Behaviour Recommendation. Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor |
| 2023 | A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu |
| 2023 | A Graph Neural Network Model for Concept Prerequisite Relation Extraction. Debjani Mazumder, Jiaul H. Paik, Anupam Basu |
| 2023 | A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao |
| 2023 | A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. Jian Xu, Shao-Lun Huang |
| 2023 | A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu |
| 2023 | A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings. Narayanan Asuri Krishnan, Carlos R. Rivero |
| 2023 | A Momentum Loss Reweighting Method for Improving Recall. Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang |
| 2023 | A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye |
| 2023 | A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu |
| 2023 | A Neuro-symbolic Approach to Enhance Interpretability of Graph Neural Network through the Integration of External Knowledge. Kislay Raj |
| 2023 | A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. Denghao Ma, Kevin Chen-Chuan Chang, Yueguo Chen, Xueqiang Lv, Liang Shen |
| 2023 | A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering. Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu |
| 2023 | A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su |
| 2023 | A Robust Backward Compatibility Metric for Model Retraining. Ryuta Matsuno, Keita Sakuma |
| 2023 | A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search. Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi |
| 2023 | A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion. Yu Zheng, Xinglin Lian, Zhangxuan Dang, Chunlei Peng, Chao Yang, Jianfeng Ma |
| 2023 | A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang |
| 2023 | A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, Suzan Verberne |
| 2023 | A Two-tier Shared Embedding Method for Review-based Recommender Systems. Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang, Huan Liu |
| 2023 | ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen |
| 2023 | AFRF: Angle Feature Retrieval Based Popularity Forecasting. Haoyu Wang, Zongxia Xie, Meiyao Liu, Canhua Guan |
| 2023 | AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics. Vahid Ghafouri, Vibhor Agarwal, Yong Zhang, Nishanth Sastry, Jose M. Such, Guillermo Suarez-Tangil |
| 2023 | AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li |
| 2023 | APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen |
| 2023 | AQUAPLANE: The Argument Quality Explainer App. Sebastian Britner, Lorik Dumani, Ralf Schenkel |
| 2023 | Accelerating Concept Learning via Sampling. Alkid Baci, Stefan Heindorf |
| 2023 | AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim |
| 2023 | Adaptation Speed Analysis for Fairness-aware Causal Models. Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen |
| 2023 | Adaptive Graph Neural Diffusion for Traffic Demand Forecasting. Yiling Wu, Xinfeng Zhang, Yaowei Wang |
| 2023 | Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan |
| 2023 | Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach. Soonwoo Kwon, Sojung Kim, Seunghyun Lee, Jin-Young Kim, Suyeong An, Kyuseok Kim |
| 2023 | Adversarial Density Ratio Estimation for Change Point Detection. Shreyas S, Prakash Mandayam Comar, Sivaramakrishnan Kaveri |
| 2023 | Age-Aware Guidance via Masking-Based Attention in Face Aging. Junyeong Maeng, Kwanseok Oh, Heung-Il Suk |
| 2023 | All about Sample-Size Calculations for A/B Testing: Novel Extensions & Practical Guide. Jing Zhou, Jiannan Lu, Anas Shallah |
| 2023 | AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models. Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park, Jaekwang Kim |
| 2023 | An AI-based Simulation and Optimization Framework for Logistic Systems. Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang, Yong Li |
| 2023 | An Efficient Content-based Time Series Retrieval System. Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips |
| 2023 | An Efficient Selective Ensemble Learning with Rejection Approach for Classification. Hao Xu, Chiranjeet Chetia |
| 2023 | An Incremental Update Framework for Online Recommenders with Data-Driven Prior. Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao |
| 2023 | An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, Guannan Zhang |
| 2023 | Anomaly and Novelty detection for Satellite and Drone systems (ANSD '23). Shahroz Tariq, Daewon Chung, Simon S. Woo, Youjin Shin |
| 2023 | Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. Xueguang Ma, Tommaso Teofili, Jimmy Lin |
| 2023 | Application and Evaluation of Large Language Models for the Generation of Survey Questions. Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy, Peng Jiang |
| 2023 | Application of Deep Clustering Algorithms. Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm |
| 2023 | AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities. Jingdan Zhang, Jiaan Wang, Xiaodan Wang, Zhixu Li, Yanghua Xiao |
| 2023 | Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue. Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo |
| 2023 | Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan. Zhiwen Zhang, Hongjun Wang, Zipei Fan, Ryosuke Shibasaki, Xuan Song |
| 2023 | Astrolabe: Visual Graph Database Queries with Tabular Output. Michael Miller |
| 2023 | Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu |
| 2023 | Attention Calibration for Transformer-based Sequential Recommendation. Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim |
| 2023 | Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation. Qian Chen, Jianjun Li, Zhiqiang Guo, Guohui Li, Zhiying Deng |
| 2023 | AutoBuild: Automatic Community Building Labeling for Last-mile Delivery. Zhiqing Hong, Dongjiang Cao, Haotian Wang, Guang Wang, Tian He, Desheng Zhang |
| 2023 | AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning. Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao |
| 2023 | AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | Automatic and Precise Data Validation for Machine Learning. Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran |
| 2023 | BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao |
| 2023 | BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava |
| 2023 | BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng |
| 2023 | BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning. Yunzhong Lou, Xueyang Li, Haotian Chen, Xiangdong Zhou |
| 2023 | Batch-Mix Negative Sampling for Learning Recommendation Retrievers. Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng |
| 2023 | Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning. Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang |
| 2023 | Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility. Zeyd Boukhers, Azeddine Bouabdallah, Cong Yang, Jan Jürjens |
| 2023 | Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao |
| 2023 | Bias Invariant Approaches for Improving Word Embedding Fairness. Siyu Liao, Rongting Zhang, Barbara Poblete, Vanessa Murdock |
| 2023 | Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang |
| 2023 | Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen |
| 2023 | Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu |
| 2023 | Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2023 | CANA: Causal-enhanced Social Network Alignment. Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | CANDY: A Causality-Driven Model for Hotel Dynamic Pricing. Ruitao Zhu, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng, Ke Bu, Dong Li, Fan Wu |
| 2023 | CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation. Guang Yang, Yuequn Zhang, Jinquan Hang, Xinyue Feng, Zejun Xie, Desheng Zhang, Yu Yang |
| 2023 | CDR: Conservative Doubly Robust Learning for Debiased Recommendation. Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang |
| 2023 | CFOM: Lead Optimization For Drug Discovery With Limited Data. Natan Kaminsky, Uriel Singer, Kira Radinsky |
| 2023 | CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression. Xiaoyu Wang, Yonghui Guo, Xiaoyang Ma, Dongbo Huang, Lan Xu, Haisheng Tan, Hao Zhou, Xiang-Yang Li |
| 2023 | CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen |
| 2023 | CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. Arian Askari, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne |
| 2023 | COPR: Consistency-Oriented Pre-Ranking for Online Advertising. Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | CORD: A Three-Stage Coarse-to-Fine Framework for Relation Detection in Knowledge Base Question Answering. Yanzeng Li, Sen Hu, Wenjuan Han, Lei Zou |
| 2023 | CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke |
| 2023 | CRUISE-Screening: Living Literature Reviews Toolbox. Wojciech Kusa, Petr Knoth, Allan Hanbury |
| 2023 | CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services. Guyu Jiang, Xiaoyun Li, Rongrong Jing, Ruoqi Zhao, Xingliang Ni, Guodong Cao, Ning Hu |
| 2023 | CTCam: Enhancing Transportation Evaluation through Fusion of Cellular Traffic and Camera-Based Vehicle Flows. ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu |
| 2023 | Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li |
| 2023 | CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos |
| 2023 | Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. Advait Padhye, Shreeja Bhakat, Humaira Firdowse, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav |
| 2023 | Can Embeddings Analysis Explain Large Language Model Ranking? Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri |
| 2023 | Can Knowledge Graphs Simplify Text? Anthony M. Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang |
| 2023 | Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. Mirae Kim, Kyubum Hwang, Hayoung Oh, Heejin Kim, Min-Ah Kim |
| 2023 | Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen |
| 2023 | Causal Discovery in Temporal Domain from Interventional Data. Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu |
| 2023 | Causality and Independence Enhancement for Biased Node Classification. Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | Causality-guided Graph Learning for Session-based Recommendation. Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu |
| 2023 | Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation. Zheng Hu, Satoshi Nakagawa, Liang Luo, Yu Gu, Fuji Ren |
| 2023 | Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction. Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2023 | Class Label-aware Graph Anomaly Detection. Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park |
| 2023 | Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. Wenbo Li, Yao Yang, Einoshin Suzuki |
| 2023 | Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh |
| 2023 | ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma |
| 2023 | Closed-form Machine Unlearning for Matrix Factorization. Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu |
| 2023 | Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results. Sariel Tutay, Amit Somech |
| 2023 | Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang |
| 2023 | Co-guided Random Walk for Polarized Communities Search. Fanyi Yang, Huifang Ma, Cairui Yan, Zhixin Li, Liang Chang |
| 2023 | CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization. Xiaobo Zhang, Yutao Liu, Hao Wang, Wei Wang, Panpan Ni, Ji Zhang |
| 2023 | Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu |
| 2023 | Combating Ad Fatigue via Frequency-Recency Features in Online Advertising Systems. Natalia Silberstein, Or Shoham, Assaf Klein |
| 2023 | Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs. Medina Andresel, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova |
| 2023 | Commonsense Temporal Action Knowledge (CoTAK) Dataset. Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Haitao Yu, Xin Liu, Yijun Duan |
| 2023 | Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang |
| 2023 | Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction. Yang Wu, Xurui Li, Xuhong Zhang, Yangyang Kang, Changlong Sun, Xiaozhong Liu |
| 2023 | Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering. Georgios Balikas |
| 2023 | Comparing Fine-Tuned Transformers and Large Language Models for Sales Call Classification: A Case Study. Roy Eisenstadt, Abedelkader Asi, Royi Ronen |
| 2023 | Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau |
| 2023 | Content-Based Email Classification at Scale. Kirstin Early, Neil O'Hare, Christopher LuVogt |
| 2023 | Context-Aware Prompt for Generation-based Event Argument Extraction with Diffusion Models. Lei Luo, Yajing Xu |
| 2023 | Continual Learning for Generative Retrieval over Dynamic Corpora. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | Continual Learning in Predictive Autoscaling. Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou |
| 2023 | Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications. Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari |
| 2023 | Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments. Chunpai Wang, Shaghayegh Sahebi |
| 2023 | Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao |
| 2023 | Contrastive Keyword Extraction from Versioned Documents. Lukas Eder, Ricardo Campos, Adam Jatowt |
| 2023 | Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model. Jiachen Ma, Jing Dai, Yong Liu, Meng Han, Chunyu Ai |
| 2023 | Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao |
| 2023 | Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao |
| 2023 | ContributionSum: Generating Disentangled Contributions for Scientific Papers. Meng-Huan Liu, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2023 | Counterfactual Adversarial Learning for Recommendation. Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li |
| 2023 | Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2023 | Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts. Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan, Hui Zhao |
| 2023 | Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation. Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, Jaegul Choo |
| 2023 | Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng |
| 2023 | Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. Zhanyu Liu, Guanjie Zheng, Yanwei Yu |
| 2023 | Cross-heterogeneity Graph Few-shot Learning. Pengfei Ding, Yan Wang, Guanfeng Liu |
| 2023 | DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo |
| 2023 | DAS-CL: Towards Multimodal Machine Translation via Dual-Level Asymmetric Contrastive Learning. Xuxin Cheng, Zhihong Zhu, Yaowei Li, Hongxiang Li, Yuexian Zou |
| 2023 | DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen |
| 2023 | DFFM: Domain Facilitated Feature Modeling for CTR Prediction. Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang |
| 2023 | DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao, Bo Cao |
| 2023 | DPGN: Denoising Periodic Graph Network for Life Service Recommendation. Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang |
| 2023 | DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2023 | DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu |
| 2023 | DYANE: DYnamic Attributed Node rolEs Generative Model. Giselle Zeno, Jennifer Neville |
| 2023 | Data Augmentation for Conversational AI. Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi |
| 2023 | Data and Decision Fusion with Uncertainty Quantification for ML-based Healthcare Decision Systems. Grigor Bezirganyan |
| 2023 | DataDoc Analyzer: A Tool for Analyzing the Documentation of Scientific Datasets. Joan Giner-Miguelez, Abel Gómez, Jordi Cabot |
| 2023 | Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks. Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi |
| 2023 | DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective. Pu Miao, Zeyao Du, Junlin Zhang |
| 2023 | Decentralized Graph Neural Network for Privacy-Preserving Recommendation. Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang |
| 2023 | Deep Context Interest Network for Click-Through Rate Prediction. Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng, Jun Lei |
| 2023 | Deep Generative Imputation Model for Missing Not At Random Data. Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang |
| 2023 | Deep Integrated Explanations. Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein |
| 2023 | Deep Query Rewriting For Geocoding. Pravakar Roy, Chirag Sharma, Chao Gao, Kumarswamy Valegerepura |
| 2023 | Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian |
| 2023 | Deep Variational Bayesian Modeling of Haze Degradation Process. Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim |
| 2023 | DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions. Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li |
| 2023 | DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles |
| 2023 | Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. Harshita Chopra, Atanu R. Sinha, Sunav Choudhary, Ryan A. Rossi, Paavan Kumar Indela, Veda Pranav Parwatala, Srinjayee Paul, Aurghya Maiti |
| 2023 | Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors. Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li, Tianqing Wang |
| 2023 | Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation. Jingwen Xu, Fei Lyu, Pong C. Yuen |
| 2023 | Designing and Evaluating Presentation Strategies for Fact-Checked Content. Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora D. Salim, Mark Sanderson, Falk Scholer, Damiano Spina |
| 2023 | Detecting Social Bot on the Fly using Contrastive Learning. Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Jie Tang |
| 2023 | DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model. Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang |
| 2023 | Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification. Chenyu Zhao, Yunjiang Jiang, Yiming Qiu, Han Zhang, Wen-Yun Yang |
| 2023 | Differential Privacy in HyperNetworks for Personalized Federated Learning. Vaisnavi Nemala, Phung Lai, NhatHai Phan |
| 2023 | Diffusion Augmentation for Sequential Recommendation. Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian |
| 2023 | Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua |
| 2023 | Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu |
| 2023 | DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu |
| 2023 | Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang |
| 2023 | Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification. Arpit Merchant, Carlos Castillo |
| 2023 | Diversity-aware Deep Ranking Network for Recommendation. Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng, Ming Liu |
| 2023 | Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity. Raghvendra Kumar, Ratul Chakraborty, Abhishek Tiwari, Sriparna Saha, Naveen Saini |
| 2023 | DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng |
| 2023 | Dual Intents Graph Modeling for User-centric Group Discovery. Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang |
| 2023 | Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat. Jiawei Zheng, Hao Gu, Chonggang Song, Dandan Lin, Lingling Yi, Chuan Chen |
| 2023 | Dual-Oriented Contrast for Recommendation with A Stop-Gradient Operation. Byungkook Oh, Yul Kim, Bumky Min |
| 2023 | Dual-Process Graph Neural Network for Diversified Recommendation. Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao |
| 2023 | Dual-view Contrastive Learning for Auction Recommendation. Dan Ni Ren, Leong Hou U, Wei Liu |
| 2023 | Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen |
| 2023 | DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae |
| 2023 | DynED: Dynamic Ensemble Diversification in Data Stream Classification. Soheil Abadifard, Sepehr Bakhshi, Sanaz Gheibuni, Fazli Can |
| 2023 | Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma |
| 2023 | Dynamic Group Parameter Modeling for Click-Through-Rate Prediction. Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao |
| 2023 | DynamicESG: A Dataset for Dynamically Unearthing ESG Ratings from News Articles. Yu-Min Tseng, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2023 | EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration. Zee Hen Tang, Mi-Yen Yeh |
| 2023 | EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification. Ido Ikar, Amit Somech |
| 2023 | ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs. Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim |
| 2023 | EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising. Guangyuan Shen, Shengjie Sun, Dehong Gao, Duanxiao Song, Libin Yang, Zhen Wang, Yongping Shi, Wei Ning |
| 2023 | Effective Slogan Generation with Noise Perturbation. Jongeun Kim, MinChung Kim, Taehwan Kim |
| 2023 | Efficient Differencing of System-level Provenance Graphs. Yuta Nakamura, Iyad Kanj, Tanu Malik |
| 2023 | Efficient Exact Minimum k-Core Search in Real-World Graphs. Qifan Zhang, Shengxin Liu |
| 2023 | Efficient Multi-Task Learning via Generalist Recommender. Luyang Wang, Cangcheng Tang, Chongyang Zhang, Jun Ruan, Kai Huang, Jason Jinquan Dai |
| 2023 | Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster. Manas Jyoti Das, Khawar Shehzad, Praveen Rao |
| 2023 | EmFore: Online Learning of Email Folder Classification Rules. Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen |
| 2023 | Enabling Health Data Sharing with Fine-Grained Privacy. Luca Bonomi, Sepand Gousheh, Liyue Fan |
| 2023 | Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation. Haozhe Hu, Yongquan Jiang, Yan Yang, Jim X. Chen |
| 2023 | Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution. Kuang-Da Wang |
| 2023 | Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan |
| 2023 | Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions. Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He |
| 2023 | Enhancing E-commerce Product Search through Reinforcement Learning-Powered Query Reformulation. Sanjay Agrawal, Srujana Merugu, Vivek Sembium |
| 2023 | Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, Fan Zhou |
| 2023 | Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective. Shigang Quan, Shui Liu, Zhenzhe Zheng, Fan Wu |
| 2023 | Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis. Sumin Han, Youngjun Park, Minji Lee, Jisun An, Dongman Lee |
| 2023 | Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim |
| 2023 | Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng |
| 2023 | Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction. Mutong Liu, Yang Liu, Jiming Liu |
| 2023 | Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. Hung Phan, Ali Jannesari |
| 2023 | Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization. Abhisek Tiwari, Anisha Saha, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar |
| 2023 | Explainable Spatio-Temporal Graph Neural Networks. Jiabin Tang, Lianghao Xia, Chao Huang |
| 2023 | Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin |
| 2023 | Explaining Learning to Rank Methods to Improve Them. Alberto Veneri |
| 2023 | Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. Mingkun Xu |
| 2023 | Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas |
| 2023 | Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang |
| 2023 | Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach. DaHee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong |
| 2023 | Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du |
| 2023 | Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu |
| 2023 | Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach. Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar |
| 2023 | FAF: A Risk Detection Framework on Industry-Scale Graphs. Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng, Binjie Fei |
| 2023 | FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting. Min Wang, Hua Wang, Fan Zhang |
| 2023 | FARA: Future-aware Ranking Algorithm for Fairness Optimization. Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai |
| 2023 | FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang |
| 2023 | FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. Zilong Zhao, Robert Birke, Lydia Y. Chen |
| 2023 | FINRule: Feature Interactive Neural Rule Learning. Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou |
| 2023 | FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | Fair&Share: Fast and Fair Multi-Criteria Selections. Kathleen Cachel, Elke A. Rundensteiner |
| 2023 | FairGraph: Automated Graph Debiasing with Gradient Matching. Yezi Liu |
| 2023 | Fairness through Aleatoric Uncertainty. Anique Tahir, Lu Cheng, Huan Liu |
| 2023 | Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling. Vedangi Bengali, Nate Veldt |
| 2023 | FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning. Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang, Xiaolong Hu |
| 2023 | Federated Competing Risk Analysis. Md Mahmudur Rahman, Sanjay Purushotham |
| 2023 | Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen |
| 2023 | Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. Leilei Yan, Fanzhang Li, Xiaohan Zheng, Li Zhang |
| 2023 | FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction. Pengtao Zhang, Zheng Zheng, Junlin Zhang |
| 2023 | Findability: A Novel Measure of Information Accessibility. Aman Sinha, Priyanshu Raj Mall, Dwaipayan Roy |
| 2023 | Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment. DongHyun Ahn, Minhyuk Song, Seungeon Lee, Yubin Choi, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha |
| 2023 | FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation. Hanyue Du, Yike Zhao, Qingyuan Tian, Jiani Wang, Lei Wang, Yunshi Lan, Xuesong Lu |
| 2023 | Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao |
| 2023 | Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction. Chen-Hui Song, Xi Xiao, Bin Zhang, Shu-Tao Xia |
| 2023 | ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang |
| 2023 | Forgetting-aware Linear Bias for Attentive Knowledge Tracing. Yoonjin Im, Eunseong Choi, Heejin Kook, Jongwuk Lee |
| 2023 | Forward Creation, Reverse Selection: Achieving Highly Pertinent Multimodal Responses in Dialogue Contexts. Ge Luo, Manman Zhang, Yuchen Ma, Sheng Li, Zhenxing Qian, Xinpeng Zhang |
| 2023 | Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction. Jun Li, Ge Zhang |
| 2023 | From User Activity Traces to Navigation Graph for Software Enhancement: An Application of Graph Neural Network (GNN) on a Real-World Non-Attributed Graph. Ikram Boukharouba, Florence Sèdes, Christophe Bortolaso, Florent Mouysset |
| 2023 | G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou |
| 2023 | G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang |
| 2023 | GBTTE: Graph Attention Network Based Bus Travel Time Estimation. Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang |
| 2023 | GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian |
| 2023 | GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang |
| 2023 | GUARD: Graph Universal Adversarial Defense. Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang |
| 2023 | Generalization Bound for Estimating Causal Effects from Observational Network Data. Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao |
| 2023 | Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem. Kaito Majima, Shotaro Ishihara |
| 2023 | Generating Optimized Molecules without Patent Infringement. Sally Turutov, Kira Radinsky |
| 2023 | Generating Product Insights from Community Q&A. Lital Kuchy, Ran Levy, Avihai Mejer, Noam Segev, Shunit Agmon, Miriam Farber |
| 2023 | Generative AI and the Future of Information Access. Chirag Shah |
| 2023 | Generative Graph Augmentation for Minority Class in Fraud Detection. Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang |
| 2023 | Geometric Graph Learning for Protein Mutation Effect Prediction. Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao |
| 2023 | Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong |
| 2023 | Geometry Interaction Augmented Graph Collaborative Filtering. Jie Xu, Chaozhuo Li |
| 2023 | GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu |
| 2023 | Good Intentions: Adaptive Parameter Management via Intent Signaling. Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, Volker Markl |
| 2023 | GranCATs: Cross-Lingual Enhancement through Granularity-Specific Contrastive Adapters. Meizhen Liu, Jiakai He, Xu Guo, Jianye Chen, Siu Cheung Hui, Fengyu Zhou |
| 2023 | Graph Contrastive Learning with Graph Info-Min. En Meng, Yong Liu |
| 2023 | Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu |
| 2023 | Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin |
| 2023 | Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data. Xiao Tan, Yangyang Shen, Meng Wang, Beilun Wang |
| 2023 | Graph Learning for Exploratory Query Suggestions in an Instant Search System. Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan |
| 2023 | Graph-based Alignment and Uniformity for Recommendation. Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu |
| 2023 | GraphERT- Transformers-based Temporal Dynamic Graph Embedding. Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky |
| 2023 | GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang |
| 2023 | GraphFC: Customs Fraud Detection with Label Scarcity. Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin |
| 2023 | GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking. Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li |
| 2023 | Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2023 | HAMUR: Hyper Adapter for Multi-Domain Recommendation. Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang |
| 2023 | HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification. Lvxing Zhu, Kexin Zhang, Hao Chen, Chao Wei, Weiru Zhang, Haihong Tang, Xiu Li |
| 2023 | HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu |
| 2023 | HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen |
| 2023 | HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs. Bradley Ashmore, Lingwei Chen |
| 2023 | HST-GT: Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce. Xiaohui Zhao, Shuai Wang, Hai Wang, Tian He, Desheng Zhang, Guang Wang |
| 2023 | HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition. Jin Zhao, Zhixu Li, Yanghua Xiao, Jiaqing Liang, Jingping Liu |
| 2023 | Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao |
| 2023 | Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao |
| 2023 | Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein |
| 2023 | Harnessing the Power of Pre-trained Vision-Language Models for Efficient Medical Report Generation. Qi Li |
| 2023 | Hateful Comment Detection and Hate Target Type Prediction for Video Comments. Shrey Gupta, Pratyush Priyadarshi, Manish Gupta |
| 2023 | Heterogeneous Temporal Graph Neural Network Explainer. Jiazheng Li, Chunhui Zhang, Chuxu Zhang |
| 2023 | HiPo: Detecting Fake News via Historical and Multi-Modal Analyses of Social Media Posts. Tianshu Xiao, Sichang Guo, Jingcheng Huang, Riccardo Spolaor, Xiuzhen Cheng |
| 2023 | Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning. Yunchuan Guan, Yu Liu, Ke Zhou, Junyuan Huang |
| 2023 | Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon |
| 2023 | Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning. Jingping Liu, Tao Chen, Zujie Liang, Haiyun Jiang, Yanghua Xiao, Feng Wei, Yuxi Qian, Zhenghong Hao, Bing Han |
| 2023 | Higher-Order Peak Decomposition. Xingyu Tan, Jingya Qian, Chen Chen, Sima Qing, Yanping Wu, Xiaoyang Wang, Wenjie Zhang |
| 2023 | Highly-Optimized Forgetting for Creating Signature-Based Views of Ontologies. Yizheng Zhao |
| 2023 | Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang |
| 2023 | Homophily-enhanced Structure Learning for Graph Clustering. Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu |
| 2023 | How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. David Otero, Javier Parapar, Nicola Ferro |
| 2023 | How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang |
| 2023 | HugNLP: A Unified and Comprehensive Library for Natural Language Processing. Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao |
| 2023 | Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu |
| 2023 | HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion. Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan |
| 2023 | I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma |
| 2023 | IMinimize: A System for Negative Influence Minimization via Vertex Blocking. Siyi Teng, Jiadong Xie, Mingkai Zhang, Kai Wang, Fan Zhang |
| 2023 | ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election. Francesco Pierri, Geng Liu, Stefano Ceri |
| 2023 | IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction. Mao Pan, Tao Yu, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao, Sulong Xu |
| 2023 | Identify Risky Rules to Reduce Side Effects in Association Rule Hiding. Peng Cheng |
| 2023 | Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning Under Negative Transfer. Hua Yan, Hao Wang, Desheng Zhang, Yu Yang |
| 2023 | Improving Adversarial Transferability via Frequency-based Stationary Point Search. Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. Mingyang Song, Huafeng Liu, Liping Jing |
| 2023 | Improving Graph Domain Adaptation with Network Hierarchy. Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | Improving Long-Tail Item Recommendation with Graph Augmentation. Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song |
| 2023 | Improving Query Correction Using Pre-train Language Model In Search Engines. Dezhi Ye, Bowen Tian, Jiabin Fan, Jie Liu, Tianhua Zhou, Xiang Chen, Mingming Li, Jin Ma |
| 2023 | Incorporating Co-purchase Correlation for Next-basket Recommendation. Yu Hao Chou, Pu-Jen Cheng |
| 2023 | Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning. Chen Chen, Bo He, Jing Yuan, Chunyan Hou, Xiaojie Yuan |
| 2023 | Incremental Graph Classification by Class Prototype Construction and Augmentation. Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou |
| 2023 | Independent Distribution Regularization for Private Graph Embedding. Qi Hu, Yangqiu Song |
| 2023 | Inducing Causal Structure for Abstractive Text Summarization. Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2023 | Info-Wild: Knowledge Extraction and Management for Wildlife Conservation. Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Müller |
| 2023 | Integrating Priors into Domain Adaptation Based on Evidence Theory. Ying Lv, Jianpeng Ma, Yiqiu Zhang, Gang Xu |
| 2023 | International Workshop on Edge-Cloud Intelligence (ECI@CIKM2023). Lianyong Qi, Xuyun Zhang, Xiaolong Xu, Wenwen Gong |
| 2023 | Interpretable Fake News Detection with Graph Evidence. Hao Guo, Weixin Zeng, Jiuyang Tang, Xiang Zhao |
| 2023 | Interpretable Natural Language Understanding. Yulan He |
| 2023 | Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach. Omid Shokrollahi |
| 2023 | Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning. Dongqi Fu |
| 2023 | Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha |
| 2023 | IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. Jun Qi, Hongqing Yu, Po Yang, Yun Yang, Zhibo Pang |
| 2023 | Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems. Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal |
| 2023 | Joint Link Prediction Via Inference from a Model. Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte |
| 2023 | Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand. Heng Tan, Yukun Yuan, Shuxin Zhong, Yu Yang |
| 2023 | KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo |
| 2023 | KGPR: Knowledge Graph Enhanced Passage Ranking. Jinyuan Fang, Zaiqiao Meng, Craig Macdonald |
| 2023 | KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks. Nicolas Heist, Sven Hertling, Heiko Paulheim |
| 2023 | KID34K: A Dataset for Online Identity Card Fraud Detection. Eun-Ju Park, Seung-Yeon Back, Jeongho Kim, Simon S. Woo |
| 2023 | Khronos: A Real-Time Indexing Framework for Time Series Databases on Large-Scale Performance Monitoring Systems. Xinyu Liu, Zijing Wei, Wenqing Yu, Shaozhi Liu, Gang Wang, Xiaoguang Liu, Yusen Li |
| 2023 | Knowledge Graph Error Detection with Hierarchical Path Structure. Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu |
| 2023 | Knowledge Graphs for Knowing More and Knowing for Sure. Steffen Staab |
| 2023 | Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan |
| 2023 | Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction. Jiaying Gong, Wei-Te Chen, Hoda Eldardiry |
| 2023 | Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond. Arijit Ukil, João Gama, Antonio J. Jara, Leandro Marín |
| 2023 | Knowledge-enhanced Artificial Intelligence in Drug Discovery (KAIDD). Qingpeng Zhang, Jiannan Yang |
| 2023 | Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang |
| 2023 | KuaiSAR: A Unified Search And Recommendation Dataset. Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu |
| 2023 | L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng |
| 2023 | LAMM: Language Aware Active Learning for Multilingual Models. Ze Ye, Dantong Liu, Kaushik Pavani, Sunny Dasgupta |
| 2023 | LARCH: Large Language Model-based Automatic Readme Creation with Heuristics. Yuta Koreeda, Terufumi Morishita, Osamu Imaichi, Yasuhiro Sogawa |
| 2023 | LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals. Xiao Zhou, Ran Wang, Haorui Li, Qiang Liu, Xingxing Wang, Dong Wang |
| 2023 | LambdaRank Gradients are Incoherent. Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando |
| 2023 | Large Language Models as Zero-Shot Conversational Recommenders. Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley |
| 2023 | Latent Aspect Detection via Backtranslation Augmentation. Farinam Hemmatizadeh, Christine Wong, Alice Yu, Hossein Fani |
| 2023 | Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian |
| 2023 | Learning Node Abnormality with Weak Supervision. Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong |
| 2023 | Learning Pair-Centric Representation for Link Sign Prediction with Subgraph. Jushuo Chen, Feifei Dai, Xiaoyan Gu, Haihui Fan, Jiang Zhou, Bo Li, Weiping Wang |
| 2023 | Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky |
| 2023 | Learning To Rank Diversely At Airbnb. Malay Haldar, Mustafa Abdool, Liwei He, Dillon Davis, Huiji Gao, Sanjeev Katariya |
| 2023 | Learning Visibility Attention Graph Representation for Time Series Forecasting. Shengzhong Mao, Xiao-Jun Zeng |
| 2023 | Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora. Yan Fan, Chengyu Wang, Fan Feng, Hengbin Cui, Yuchuan Wu, Yongbin Li |
| 2023 | Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li |
| 2023 | Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang |
| 2023 | Learning to Simulate Complex Physical Systems: A Case Study. Jiasheng Shi, Fu Lin, Weixiong Rao |
| 2023 | Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen |
| 2023 | Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges. Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca |
| 2023 | Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. Nancy Tyagi, Surjodeep Sarkar, Manas Gaur |
| 2023 | Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. Yuyao Guo, Xiang Ao, Qiming Liu, Qing He |
| 2023 | Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song |
| 2023 | Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu |
| 2023 | Lightweight Adaptation of Neural Language Models via Subspace Embedding. Amit Kumar Jaiswal, Haiming Liu |
| 2023 | Linkage Attack on Skeleton-based Motion Visualization. Thomas Carr, Aidong Lu, Depeng Xu |
| 2023 | LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts. Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, Juanzi Li |
| 2023 | Logarithmic Dimension Reduction for Quantum Neural Networks. Hankyul Baek, Soohyun Park, Joongheon Kim |
| 2023 | Logistics Audience Expansion via Temporal Knowledge Graph. Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang |
| 2023 | Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2023 | Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation. Shuang Wang, Bahaeddin Eravci, Rustam Guliyev, Hakan Ferhatosmanoglu |
| 2023 | MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan |
| 2023 | MArBLE: Hierarchical Multi-Armed Bandits for Human-in-the-Loop Set Expansion. Muntasir Wahed, Daniel Gruhl, Ismini Lourentzou |
| 2023 | MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction. Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic |
| 2023 | MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. Xovee Xu, Jiayang Li, Fan Zhou |
| 2023 | MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu |
| 2023 | MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu |
| 2023 | MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. Aibo Guo, Xiang Zhao, Zhen Tan, Weidong Xiao |
| 2023 | MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo |
| 2023 | MLPST: MLP is All You Need for Spatio-Temporal Prediction. Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao |
| 2023 | MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems. Simone Avesani, Vincenzo Bonnici, Simone Pernice, Marco Beccuti, Rosalba Giugno |
| 2023 | MORPHER: Structural Transformation of Ill-formed Rows. Mazhar Hameed, Gerardo Vitagliano, Felix Naumann |
| 2023 | MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder |
| 2023 | MPMRC-MNER: A Unified MRC framework for Multimodal Named Entity Recognition based Multimodal Prompt. Xigang Bao, Mengyuan Tian, Zhiyuan Zha, Biao Qin |
| 2023 | MPerformer: An SE(3) Transformer-based Molecular Perceptron. Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang |
| 2023 | MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training. Hanqi Jin, Jiwei Tan, Lixin Liu, Lisong Qiu, Shaowei Yao, Xi Chen, Xiaoyi Zeng |
| 2023 | MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation. Haotian Wu, Bowen Xing, Ivor W. Tsang |
| 2023 | MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction. Mengyi Yuan, Minjie Chen, Xiang Li |
| 2023 | MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park |
| 2023 | MUSER: A Multi-View Similar Case Retrieval Dataset. Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen |
| 2023 | MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. Gullal S. Cheema, Sherzod Hakimov, Marc A. Kastner, Noa Garcia |
| 2023 | MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park |
| 2023 | Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning. Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang |
| 2023 | Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong |
| 2023 | Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model. Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu, Yanlong Du |
| 2023 | Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models. Preben M. Ness, Dusica Marijan, Sunanda Bose |
| 2023 | MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki |
| 2023 | MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction. Pengtao Zhang, Junlin Zhang |
| 2023 | Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim |
| 2023 | Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia |
| 2023 | Metapath-Guided Data-Augmentation For Knowledge Graphs. Saurav Manchanda |
| 2023 | Minimizing Polarization in Noisy Leader-Follower Opinion Dynamics. Wanyue Xu, Zhongzhi Zhang |
| 2023 | Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination. Shakshi Sharma, Anwitaman Datta, Vigneshwaran Shankaran, Rajesh Sharma |
| 2023 | Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong |
| 2023 | MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. Jingxuan Wen, Huafeng Liu, Liping Jing |
| 2023 | Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang |
| 2023 | Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data. Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang |
| 2023 | Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu |
| 2023 | Multi-Granularity Attention Model for Group Recommendation. Jianye Ji, Jiayan Pei, Shaochuan Lin, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu |
| 2023 | Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs. Junlin Li, Yueheng Sun, Minglai Shao |
| 2023 | Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation. Nhu-Thuat Tran, Hady W. Lauw |
| 2023 | Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang |
| 2023 | Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation. Cong Zhang, Dongyang Liu, Lin Zuo, Junlan Feng, Chao Deng, Jian Sun, Haitao Zeng, Yaohong Zhao |
| 2023 | Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen |
| 2023 | Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations. Yiqin Lv, Zhiliang Tian, Zheng Xie, Yiping Song |
| 2023 | Multi-step Prompting for Few-shot Emotion-Grounded Conversations. Mauajama Firdaus, Gopendra Vikram Singh, Asif Ekbal, Pushpak Bhattacharyya |
| 2023 | MultiCAD: Contrastive Representation Learning for Multi-modal 3D Computer-Aided Design Models. Weijian Ma, Minyang Xu, Xueyang Li, Xiangdong Zhou |
| 2023 | MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection. Siyuan Wang, Jianming Zheng, Wanyu Chen, Fei Cai, Xueshan Luo |
| 2023 | Multimodal Optimal Transport Knowledge Distillation for Cross-domain Recommendation. Wei Yang, Jie Yang, Yuan Liu |
| 2023 | Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi |
| 2023 | Mutual Information-Driven Multi-View Clustering. Lei Zhang, Lele Fu, Tong Wang, Chuan Chen, Chuanfu Zhang |
| 2023 | MvFS: Multi-view Feature Selection for Recommender System. Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang |
| 2023 | NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR. Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou |
| 2023 | NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao |
| 2023 | Neighborhood Homophily-based Graph Convolutional Network. Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan |
| 2023 | NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks. Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers |
| 2023 | Network Embedding with Adaptive Multi-hop Contrast. Chenhao Wang, Yong Liu, Yan Yang |
| 2023 | Neural Disentanglement of Query Difficulty and Semantics. Sara Salamat, Negar Arabzadeh, Shirin Seyedsalehi, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri |
| 2023 | Neural Personalized Topic Modeling for Mining User Preferences on Social Media. Luyang Liu, Qunyang Lin, Haonan Tong, Hongyin Zhu, Ke Liu, Min Wang, Chuang Zhang |
| 2023 | No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths. Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao |
| 2023 | Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi |
| 2023 | Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers. Negar Arabzadeh, Radin Hamidi Rad, Maryam Khodabakhsh, Ebrahim Bagheri |
| 2023 | Non-Compliant Bandits. Branislav Kveton, Yi Liu, Johan Matteo Kruijssen, Yisu Nie |
| 2023 | Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen |
| 2023 | Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang |
| 2023 | Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer |
| 2023 | Nowcast-to-Forecast: Token-Based Multiple Remote Sensing Data Fusion for Precipitation Forecast. Sojung An |
| 2023 | Nudging Neural Click Prediction Models to Pay Attention to Position. Efi Karra Taniskidou, Wenjie Zhao, Iain Murray, Roberto Pellegrini |
| 2023 | NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz |
| 2023 | On Root Cause Localization and Anomaly Mitigation through Causal Inference. Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan |
| 2023 | On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents. Jordan Massiah, Emine Yilmaz, Yunlong Jiao, Gabriella Kazai |
| 2023 | On the Thresholding Strategy for Infrequent Labels in Multi-label Classification. Yu-Jen Lin, Chih-Jen Lin |
| 2023 | On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks. Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros |
| 2023 | Online Efficient Secure Logistic Regression based on Function Secret Sharing. Jing Liu, Jamie Cui, Cen Chen |
| 2023 | OnlineAutoClust: A Framework for Online Automated Clustering. Radwa El Shawi, Dmitri Rozgonjuk |
| 2023 | Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement. Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks |
| 2023 | OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian |
| 2023 | Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu |
| 2023 | Optimizing Upstream Representations for Out-of-Domain Detection with Supervised Contrastive Learning. Bo Wang, Tsunenori Mine |
| 2023 | Optimizing for Member Value in an Edge Building Marketplace. Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal |
| 2023 | Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection. Shijie Zhang, Xin Yan, Xuejiao Yang, Binfeng Jia, Shuangyang Wang |
| 2023 | PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment. Yangfu Zhu, Yuting Wei, Meiling Li, Tingting Zhang, Siqi Wei, Bin Wu |
| 2023 | PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting. Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung, Ikhyun Cho |
| 2023 | PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning. Eric Wonhee Lee, Joyce C. Ho |
| 2023 | POSPAN: Position-Constrained Span Masking for Language Model Pre-training. Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He |
| 2023 | PRODIGY: Product Design Guidance at Scale. Sambeet Tiady, Anirban Majumder, Deepak Gupta |
| 2023 | PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | PSLF: Defending Against Label Leakage in Split Learning. Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2023 | PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang |
| 2023 | Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation. Chang Meng, Chenhao Zhai, Yu Yang, Hengyu Zhang, Xiu Li |
| 2023 | ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis. Yang Fan Chiang, Chun-Wei Shen, Jhe-Wei Tsai, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh |
| 2023 | Patient Clustering via Integrated Profiling of Clinical and Digital Data. Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park |
| 2023 | Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou |
| 2023 | Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng |
| 2023 | Personalized Interest Sustainability Modeling for Sequential POI Recommendation. Zewen Long, Liang Wang, Qiang Liu, Shu Wu |
| 2023 | Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng |
| 2023 | Perturbation-Based Two-Stage Multi-Domain Active Learning. Rui He, Zeyu Dai, Shan He, Ke Tang |
| 2023 | PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering. Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong |
| 2023 | Popularity-aware Distributionally Robust Optimization for Recommendation System. Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua |
| 2023 | Positive-Unlabeled Node Classification with Structure-aware Graph Learning. Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok |
| 2023 | Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia |
| 2023 | Practical Lessons Learned From Detecting, Preventing and Mitigating Harmful Experiences on Facebook. Prathyusha Senthil Kumar |
| 2023 | Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. Hao Yang, Ziliang Wang, Weijie Bian, Yifan Zeng |
| 2023 | Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu |
| 2023 | Predicting Interaction Quality of Conversational Assistants With Spoken Language Understanding Model Confidences. Yue Gao, Enrico Piovano, Tamer Soliman, Monir Moniruzzaman, Anoop Kumar, Melanie Bradford, Subhrangshu Nandi |
| 2023 | Predictive Uncertainty-based Bias Mitigation in Ranking. Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff |
| 2023 | PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang |
| 2023 | Privacy-Preserving Federated Learning via Disentanglement. Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren, Zhe Liu |
| 2023 | Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform. Nikos Giatrakos, Elias Alevizos, Antonios Deligiannakis, Ralf Klinkenberg, Alexander Artikis |
| 2023 | Proactive and Automatic Detection of Product Misclassifications at Massive Scale. Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick, Gang Luo |
| 2023 | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 Ingo Frommholz, Frank Hopfgartner, Mark Lee, Michael Oakes, Mounia Lalmas, Min Zhang, Rodrygo L. T. Santos |
| 2023 | Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity. Hacer Turgut, Tan Doruk Yetki, Ömür Bali, Tayfun Arda Yücel |
| 2023 | Product Entity Matching via Tabular Data. Ali Naeim abadi, Mir Tafseer Nayeem, Davood Rafiei |
| 2023 | Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment. Jia Wu, Zixiao Huang |
| 2023 | Prompt Distillation for Efficient LLM-based Recommendation. Lei Li, Yongfeng Zhang, Li Chen |
| 2023 | Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi |
| 2023 | PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu |
| 2023 | Prompting Strategies for Citation Classification. Suchetha N. Kunnath, David Pride, Petr Knoth |
| 2023 | Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin |
| 2023 | PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis. Heng Yang, Chen Zhang, Ke Li |
| 2023 | Quad-Tier Entity Fusion Contrastive Representation Learning for Knowledge Aware Recommendation System. Rongqing Kenneth Ong, Wei Qiu, Andy W. H. Khong |
| 2023 | Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing. Wanjun Liu, Xiufan Yu, Jialiang Mao, Xiaoxu Wu, Justin Dyer |
| 2023 | Quantitative Decomposition of Prediction Errors Revealing Multi-Cause Impacts: An Insightful Framework for MLOps. Keita Sakuma, Ryuta Matsuno, Yoshio Kameda |
| 2023 | Quantum Split Learning for Privacy-Preserving Information Management. Soohyun Park, Hankyul Baek, Joongheon Kim |
| 2023 | Query-dominant User Interest Network for Large-Scale Search Ranking. Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu, Wenwu Ou |
| 2023 | RDGSL: Dynamic Graph Representation Learning with Structure Learning. Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu |
| 2023 | REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning. Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu |
| 2023 | RLIFE: Remaining Lifespan Prediction for E-scooters. Shuxin Zhong, William Yubeaton, Wenjun Lyu, Guang Wang, Desheng Zhang, Yu Yang |
| 2023 | RT2S: A Framework for Learning with Noisy Labels. Indranil Bhattacharya, Ze Ye, Kaushik Pavani, Sunny Dasgupta |
| 2023 | RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang |
| 2023 | RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers. Yogeswar Lakshmi Narayanan, Hossein Fani |
| 2023 | Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training. Xincheng Ju, Dong Zhang, Suyang Zhu, Junhui Li, Shoushan Li, Guodong Zhou |
| 2023 | Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez |
| 2023 | Rebalancing Social Feed to Minimize Polarization and Disagreement. Federico Cinus, Aristides Gionis, Francesco Bonchi |
| 2023 | Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | RecRec: Algorithmic Recourse for Recommender Systems. Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah |
| 2023 | Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Raúl Santos-Rodríguez |
| 2023 | Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning. Jie Chen, Tong Liu, Ruiyuan Li |
| 2023 | Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding. Weiliang Chan, Qianqian Ren |
| 2023 | Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | Relation-Aware Diffusion Model for Controllable Poster Layout Generation. Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao |
| 2023 | Relevance-based Infilling for Natural Language Counterfactuals. Lorenzo Betti, Carlo Abrate, Francesco Bonchi, Andreas Kaltenbrunner |
| 2023 | Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning. Lucas Jarnac, Miguel Couceiro, Pierre Monnin |
| 2023 | Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang |
| 2023 | Representation Learning in Continuous-Time Dynamic Signed Networks. Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar |
| 2023 | Retention is All You Need. Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati |
| 2023 | Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang |
| 2023 | Rethinking Sentiment Analysis under Uncertainty. Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei |
| 2023 | Retrievability Bias Estimation Using Synthetically Generated Queries. Amin Abolghasemi, Suzan Verberne, Arian Askari, Leif Azzopardi |
| 2023 | Retrieval-Based Unsupervised Noisy Label Detection on Text Data. Peiyang Liu, Jinyu Yang, Lin Wang, Sen Wang, Yunlai Hao, Huihui Bai |
| 2023 | Retrieving GNN Architecture for Collaborative Filtering. Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi |
| 2023 | Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking. Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks |
| 2023 | RoCourseNet: Robust Training of a Prediction Aware Recourse Model. Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav |
| 2023 | Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. Xinrui He, Tianxin Wei, Jingrui He |
| 2023 | Robust Graph Clustering via Meta Weighting for Noisy Graphs. Hyeonsoo Jo, Fanchen Bu, Kijung Shin |
| 2023 | Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction. Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou |
| 2023 | RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction. Hongliang Qiao, Shanshan Feng, Xutao Li, Huiwei Lin, Han Hu, Wei Wei, Yunming Ye |
| 2023 | Rule-based Knowledge Graph Completion with Canonical Models. Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, Heiner Stuckenschmidt |
| 2023 | S-Mixup: Structural Mixup for Graph Neural Networks. Junghurn Kim, Sukwon Yun, Chanyoung Park |
| 2023 | SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection. Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo, Jinyoung Han |
| 2023 | SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim |
| 2023 | SAILOR: Structural Augmentation Based Tail Node Representation Learning. Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng |
| 2023 | SAND: Semantic Annotation of Numeric Data in Web Tables. Yuchen Su, Davood Rafiei, Behrad Khorram Nazari |
| 2023 | SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram |
| 2023 | SEDAR: A Semantic Data Reservoir for Heterogeneous Datasets. Sayed Hoseini, Ahmed Ali, Haron Shaker, Christoph Quix |
| 2023 | SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song |
| 2023 | SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation. Xiao Liu, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Xuyun Zhang |
| 2023 | SNAKE Challenge: Sanitization Algorithms under Attack. Tristan Allard, Louis Béziaud, Sébastien Gambs |
| 2023 | SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search. Wen Zan, Yaopeng Han, Xiaotian Jiang, Yao Xiao, Yang Yang, Dayao Chen, Sheng Chen |
| 2023 | ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction. Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, Ruiyuan Zhang, Xiaofang Zhou |
| 2023 | ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo |
| 2023 | STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events. Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, Chun-Chieh Wu, Winston H. Hsu |
| 2023 | STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation. Shaohua Liu, Yu Qi, Gen Li, Mingjian Chen, Teng Zhang, Jia Cheng, Jun Lei |
| 2023 | STREAMER 3.0: Towards Online Monitoring and Distributed Learning. Baudouin Naline, Sandra Garcia-Rodriguez, Karine Zeitouni |
| 2023 | STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan |
| 2023 | Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li |
| 2023 | Satisfaction-Aware User Interest Network for Click-Through Rate Prediction. Mao Pan, Wen Shi, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao, Sulong Xu |
| 2023 | Scalable Neural Contextual Bandit for Recommender Systems. Zheqing Zhu, Benjamin Van Roy |
| 2023 | Search Result Diversification Using Query Aspects as Bottlenecks. Puxuan Yu, Razieh Rahimi, Zhiqi Huang, James Allan |
| 2023 | Search-Efficient Computerized Adaptive Testing. Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He |
| 2023 | Segment Augmentation and Prediction Consistency Neural Network for Multi-label Unknown Intent Detection. Miaoxin Chen, Cao Liu, Boqi Dai, Hai-Tao Zheng, Ting Song, Jiansong Chen, Guanglu Wan, Rui Xie |
| 2023 | Selecting Top-k Data Science Models by Example Dataset. Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu |
| 2023 | Selecting Walk Schemes for Database Embedding. Yuval Lev Lubarsky, Jan Tönshoff, Martin Grohe, Benny Kimelfeld |
| 2023 | Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin |
| 2023 | Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation. Hao Jiang, Chuanzhen Li, Juanjuan Cai, Runyu Tian, Jingling Wang |
| 2023 | Self-supervised Learning and Graph Classification under Heterophily. Yilin Ding, Zhen Liu, Hao Hao |
| 2023 | Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin |
| 2023 | Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing. Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen |
| 2023 | Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang |
| 2023 | Seq-HyGAN: Sequence Classification via Hypergraph Attention Network. Khaled Mohammed Saifuddin, Corey May, Farhan Tanvir, Muhammad Ifte Khairul Islam, Esra Akbas |
| 2023 | SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou |
| 2023 | Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan |
| 2023 | Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models. Hao-Ru Sung, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li, Hen-Hsen Huang |
| 2023 | Simplex2vec Backward: From Vectors Back to Simplicial Complex. Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou |
| 2023 | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen |
| 2023 | Simulating Users in Interactive Web Table Retrieval. Björn Engelmann, Timo Breuer, Philipp Schaer |
| 2023 | Single-Cell Multimodal Prediction via Transformers. Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang |
| 2023 | Single-User Injection for Invisible Shilling Attack against Recommender Systems. Chengzhi Huang, Hui Li |
| 2023 | Some Useful Things to Know When Combining IR and NLP: the Easy, the Hard and the Ugly. Omar Alonso, Kenneth Church |
| 2023 | Spans, Not Tokens: A Span-Centric Model for Multi-Span Reading Comprehension. Zixian Huang, Jiaying Zhou, Chenxu Niu, Gong Cheng |
| 2023 | Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang |
| 2023 | Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song |
| 2023 | Spatio-Temporal Meta Contrastive Learning. Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang |
| 2023 | SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily. Bin Wu, Xinyu Yao, Boyan Zhang, Kuo-Ming Chao, Yinsheng Li |
| 2023 | Stochastic Subgraph Neighborhood Pooling for Subgraph Classification. Shweta Ann Jacob, Paul Louis, Amirali Salehi-Abari |
| 2023 | Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing. Zihao Gao, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang |
| 2023 | System Initiative Prediction for Multi-turn Conversational Information Seeking. Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke |
| 2023 | T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu |
| 2023 | TCCM: Time and Content-Aware Causal Model for Unbiased News Recommendation. Yewang Chen, Weiyao Ye, Guipeng Xv, Chen Lin, Xiaomin Zhu |
| 2023 | TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification. Hugo O. Sousa, Ricardo Campos, Alípio Jorge |
| 2023 | THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks. Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao, Hongan Wang |
| 2023 | TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features. Yujia Ding, Huan Li, Ke Chen, Lidan Shou |
| 2023 | Tackling Diverse Minorities in Imbalanced Classification. Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu |
| 2023 | Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework. Ximu Zeng, Quanlin Yu, Shuncheng Liu, Yuyang Xia, Han Su, Kai Zheng |
| 2023 | Target-oriented Few-shot Transferring via Measuring Task Similarity. Zhipeng Zhou, Wei Gong, Haoquan Zhou |
| 2023 | Targeted Shilling Attacks on GNN-based Recommender Systems. Sihan Guo, Ting Bai, Weihong Deng |
| 2023 | Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong, Xiuyi Chen |
| 2023 | Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation. Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang |
| 2023 | TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. Shu Liu, Jiaheng Wang, Jiamin Chen, Jianliang Gao, Yuhui Zhong |
| 2023 | Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain. Junru Zhang, Lang Feng, Yang He, Yuhan Wu, Yabo Dong |
| 2023 | Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction. Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi, Manabu Okumura |
| 2023 | Test-Time Embedding Normalization for Popularity Bias Mitigation. Dain Kim, Jinhyeok Park, Dongwoo Kim |
| 2023 | Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu |
| 2023 | The 1st Workshop on Recommendation with Generative Models. Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun |
| 2023 | The 3rd International Workshop on Mining and Learning in the Legal Domain. Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour |
| 2023 | The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang |
| 2023 | The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods. Thu Le, Alex Deng |
| 2023 | The Role of Unattributed Behavior Logs in Predictive User Segmentation. Atanu R. Sinha, Harshita Chopra, Aurghya Maiti, Atishay Ganesh, Sarthak Kapoor, Saili Myana, Saurabh Mahapatra |
| 2023 | The µ-RA System for Recursive Path Queries over Graphs. Amela Fejza, Pierre Genevès, Nabil Layaïda, Sarah Chlyah |
| 2023 | ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong |
| 2023 | Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size. Weihe Li, Paul Patras |
| 2023 | Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai |
| 2023 | Time-series Shapelets with Learnable Lengths. Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima |
| 2023 | Timestamps as Prompts for Geography-Aware Location Recommendation. Yan Luo, Haoyi Duan, Ye Liu, Fu-Lai Chung |
| 2023 | Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection. Yepeng Sun, Jicang Lu, Ling Wang, Shunhang Li, Ningbo Huang |
| 2023 | Toward a Better Understanding of Loss Functions for Collaborative Filtering. Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee |
| 2023 | Toward a Foundation Model for Time Series Data. Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang |
| 2023 | Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning. Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing |
| 2023 | Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin |
| 2023 | Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage. Yifang Zhang, Mingyue Wang, Yu Guo, Fangda Guo |
| 2023 | Towards Effective Modeling and Exploitation of Search and User Context in Conversational Information Retrieval. Praveen Acharya |
| 2023 | Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. Zixing Song, Yuji Zhang, Irwin King |
| 2023 | Towards Fair Graph Neural Networks via Graph Counterfactual. Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang |
| 2023 | Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation. Weronika Lajewska, Krisztian Balog |
| 2023 | Towards Improving Accuracy and Computation Cost Optimization of Recommendation Systems. Abdelghani Azri |
| 2023 | Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning. Xuxin Cheng, Wanshi Xu, Zhihong Zhu, Hongxiang Li, Yuexian Zou |
| 2023 | Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou |
| 2023 | Towards Understanding of Deepfake Videos in the Wild. Beomsang Cho, Binh Minh Le, Jiwon Kim, Simon S. Woo, Shahroz Tariq, Alsharif Abuadbba, Kristen Moore |
| 2023 | Training Heterogeneous Graph Neural Networks using Bandit Sampling. Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li |
| 2023 | Treatment Effect Estimation across Domains. Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou |
| 2023 | TrendSpotter: Forecasting E-commerce Product Trends. Gayatri Ryali, Shreyas S, Sivaramakrishnan Kaveri, Prakash Mandayam Comar |
| 2023 | TriD-MAE: A Generic Pre-trained Model for Multivariate Time Series with Missing Values. Kai Zhang, Chao Li, Qinmin Yang |
| 2023 | Tutorial on User Simulation for Evaluating Information Access Systems. Krisztian Balog, ChengXiang Zhai |
| 2023 | Tutorial: Data Denoising Metrics in Recommender Systems. Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang |
| 2023 | Type Theory as a Unifying Paradigm for Modern Databases. Christoph Dorn, Haikal Pribadi |
| 2023 | UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks. Sangyong Lee, Simon S. Woo |
| 2023 | Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao |
| 2023 | Understanding User Immersion in Online Short Video Interaction. Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang, Yiqun Liu |
| 2023 | Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation. Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin |
| 2023 | Understanding the Multi-vector Dense Retrieval Models. Qi Liu, Jiaxin Mao |
| 2023 | UniTE: A Unified Treatment Effect Estimation Method for One-sided and Two-sided Marketing. Runshi Liu, Zhipeng Hou |
| 2023 | Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search. Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K, Amit Singh |
| 2023 | Unleashing the Power of Large Language Models for Legal Applications. Dell Zhang, Alina Petrova, Dietrich Trautmann, Frank Schilder |
| 2023 | Unleashing the Power of Shared Label Structures for Human Activity Recognition. Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting. Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu |
| 2023 | Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models. Maximilian Münch, Manuel Röder, Frank-Michael Schleif |
| 2023 | Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System. Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani |
| 2023 | Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach. Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang |
| 2023 | Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning. Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li |
| 2023 | Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale. Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail B. Tutar |
| 2023 | Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. Tianyi Zhao, Hui Hu, Lu Cheng |
| 2023 | Uplift Modeling: From Causal Inference to Personalization. Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg |
| 2023 | Urban-scale POI Updating with Crowd Intelligence. Zhiqing Hong, Haotian Wang, Wenjun Lyu, Hai Wang, Yunhuai Liu, Guang Wang, Tian He, Desheng Zhang |
| 2023 | UrbanFloodKG: An Urban Flood Knowledge Graph System for Risk Assessment. Yu Wang, Feng Ye, Binquan Li, Gaoyang Jin, Dong Xu, Fengsheng Li |
| 2023 | VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack. Jinrong Lai, Tong Wang, Chuan Chen, Yihao Li, Zibin Zheng |
| 2023 | VILE: Block-Aware Visual Enhanced Document Retrieval. Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen |
| 2023 | VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs. Mina Samizadeh, Guangmo Tong |
| 2023 | Vigil: Effective End-to-end Monitoring for Large-scale Recommender Systems at Glance. Priyansh Saxena, Manisha R |
| 2023 | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao |
| 2023 | WOT-Class: Weakly Supervised Open-world Text Classification. Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang |
| 2023 | Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. Tong Liu, Xulong Wang, He Huang, Po Yang |
| 2023 | Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs. Ke Zhang, Jiageng Chen, Zixian Huang, Gong Cheng |
| 2023 | Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT). Tulika Saha, Debasis Ganguly, Sriparna Saha, Prasenjit Mitra |
| 2023 | Workshop on Document Intelligence Understanding. Soyeon Caren Han, Yihao Ding, Siwen Luo, Josiah Poon, Hee-Guen Yoon, Zhe Huang, Paul Duuring, Eun-Jung Holden |
| 2023 | Workshop on Enterprise Knowledge Graphs using Large Language Models. Rajeev Gupta, Srinath Srinivasa |
| 2023 | XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters. Xuanyu Zhang, Qing Yang |
| 2023 | You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark. Soo Yong Lee, Juwon Kim, Kiwoong Park, Dong Kuk Ryu, Sang Heun Shim, Kijung Shin |
| 2023 | Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu |
| 2023 | gFOV: A Full-Stack SPARQL Query Optimizer & Plan Visualizer. Yue Pang, Linglin Yang, Lei Zou, M. Tamer Özsu |
| 2023 | iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu |
| 2023 | iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang |
| 2023 | pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma |
| 2023 | printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan, Pu-Jen Cheng |