PAKDD (3)

Keyphrases

Publications

2023

Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee
Isotropic Representation Can Improve Dense Retrieval. PAKDD (3) (2023)
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. PAKDD (3) (2023)
Haiyang Xia, Qian Li, Zhichao Wang, Gang Li
Toward Explainable Recommendation via Counterfactual Reasoning. PAKDD (3) (2023)
Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
Web-Scale Semantic Product Search with Large Language Models. PAKDD (3) (2023)
Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) (2023)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. PAKDD (3) (2023)
Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. PAKDD (3) (2023)
Qiao Qiao, Yuepei Li, Kang Zhou, Qi Li
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion. PAKDD (3) (2023)
Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yang, Min Tang, Penghui Hao
Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. PAKDD (3) (2023)
Edoardo D'Amico, Aonghus Lawlor, Neil Hurley
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. PAKDD (3) (2023)
Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. PAKDD (3) (2023)
Yanhu Li, Taolin Zhang, Dongyang Li, Xiaofeng He
Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification. PAKDD (3) (2023)
Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu
ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval. PAKDD (3) (2023)
Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu
TCR: Short Video Title Generation and Cover Selection with Attention Refinement. PAKDD (3) (2023)
Debopriyo Banerjee, Mausam Jain, Ashish Kulkarni
MFBE: Leveraging Multi-field Information of FAQs for Efficient Dense Retrieval. PAKDD (3) (2023)
Zhaoqi Yang, Hongyan Liu
Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation. PAKDD (3) (2023)
Yankai Tian, Yijia Zhang, Xingwang Li, Mingyu Lu
DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation. PAKDD (3) (2023)
Tomer Friedlander, Lior Wolf
Dynamically-Scaled Deep Canonical Correlation Analysis. PAKDD (3) (2023)
David Hason Rudd, Huan Huo, Guandong Xu
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. PAKDD (3) (2023)
Tianxing Wang, Can Wang
Global-Aware External Attention Deep Model for Sequential Recommendation. PAKDD (3) (2023)
Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. PAKDD (3) (2023)
Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya
Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification. PAKDD (3) (2023)
Qiaochuan Chen, Min Zhou, Hang Yu
MIDFA: Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection. PAKDD (3) (2023)
Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) (2023)
Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, Soroush Vosoughi
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets. PAKDD (3) (2023)
Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang
Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking. PAKDD (3) (2023)
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) (2023)
Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo
Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) (2023)
Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. PAKDD (3) (2023)
Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu
Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge. PAKDD (3) (2023)
Weijun Xu, Han Li, Meihong Wang
Multi-behavior Guided Temporal Graph Attention Network for Recommendation. PAKDD (3) (2023)

volume 13937, 2023

Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III PAKDD (3) 13937 (2023)

2022

volume 13282, 2022

Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III PAKDD (3) 13282 (2022)