PAKDD (5)

Publications

2024

Tzu-Hsien Tsai, Yun-Da Tsai, Shou-De Lin
lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap. PAKDD (5) (2024)
Xingbang Hu, Shuo Zhang, Wenbo Zhang, Hejiao Huang
Mask Adaptive Spatial-Temporal Recurrent Neural Network for Traffic Forecasting. PAKDD (5) (2024)
Ludwig Zellner, Simon Rauch, Janina Sontheim, Thomas Seidl
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises. PAKDD (5) (2024)
Thanh Dat Le, Yan Huang
Localization Through Deep Learning in New and Low Sampling Rate Environments. PAKDD (5) (2024)
Liguo Chen, Zhigang Gong, Hong Xie, Mingqiang Zhou
False Negative Sample Aware Negative Sampling for Recommendation. PAKDD (5) (2024)
Junghun Kim, Ka Hyun Park, U Kang
Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning. PAKDD (5) (2024)
Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
Adversarial Text Purification: A Large Language Model Approach for Defense. PAKDD (5) (2024)
Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. PAKDD (5) (2024)
Yu-Ling Chang, Hao-Shang Ma, Shiou-Chi Li, Jen-Wei Huang
Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning. PAKDD (5) (2024)
Zhen-Hua Zhuang, Lijun Zhang
Soft Contrastive Learning for Implicit Feedback Recommendations. PAKDD (5) (2024)
Yuanyi Shang, Kai Ming Ting, Zijing Wang, Yufan Wang
Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval. PAKDD (5) (2024)
Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. PAKDD (5) (2024)
Li Sun, Juanjuan Zhao, Fan Zhang, Rui Zhang, Kejiang Ye
FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data. PAKDD (5) (2024)
Jingwei Zuo, Hakim Hacid
Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. PAKDD (5) (2024)
Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila
ScaleViz: Scaling Visualization Recommendation Models on Large Data. PAKDD (5) (2024)
Li Sun, Juanjuan Zhao, Fan Zhang, Kejiang Ye
GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System. PAKDD (5) (2024)
Lei Pan, Von-Wun Soo
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering. PAKDD (5) (2024)
Jia-Hao Syu, Rafal Cupek, Chao-Chun Chen, Jerry Chun-Wei Lin
TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System. PAKDD (5) (2024)
Rajjat Dadwal, Ran Yu, Elena Demidova
A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings. PAKDD (5) (2024)
Wenbo Zhang, Shuo Zhang, Xingbang Hu, Hejiao Huang
MSTAN: A Multi-view Spatio-Temporal Aggregation Network Learning Irregular Interval User Activities for Fraud Detection. PAKDD (5) (2024)
Yuchen Song, Juanjuan Zhao, Xitong Gao, Fan Zhang, Kejiang Ye
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories. PAKDD (5) (2024)
Avinash Anand, Janak Kapuriya, Apoorv Singh, Jay Saraf, Naman Lal, Astha Verma, Rushali Gupta, Rajiv Ratn Shah
MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting. PAKDD (5) (2024)
Chenyang Zhou, Guobing Zou, Shengxiang Hu, Hehe Lv, Liangrui Wu, Bofeng Zhang
Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation. PAKDD (5) (2024)
Menglin Kong, Li Fan, Shengze Xu, Xingquan Li, Muzhou Hou, Cong Cao
Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation. PAKDD (5) (2024)
Lo Pang-Yun Ting, Chi-Chun Lin, Shih-Hsun Lin, Yu-Lin Chu, Kun-Ta Chuang
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations. PAKDD (5) (2024)
Miaomiao Yang, Tao Wu, Jiali Mao, Kaixuan Zhu, Aoying Zhou
Attention Mechanism Based Multi-task Learning Framework for Transportation Time Prediction. PAKDD (5) (2024)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) (2024)
Yu Ji, Qi Shen, Shixuan Zhu, Hang Yu, Yiming Zhang, Chuan Cui, Zhihua Wei
Towards Multi-subsession Conversational Recommendation. PAKDD (5) (2024)
Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
Conditional Denoising Diffusion for Sequential Recommendation. PAKDD (5) (2024)
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation. PAKDD (5) (2024)
Yonghao Huang, Pengxiang Lan, Xiaokang Li, Yihao Zhang, Kaibei Li
Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation. PAKDD (5) (2024)

volume 14649, 2024

Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V PAKDD (5) 14649 (2024)