PAKDD (2)

Publications

2024

Lin Chen, Yuxin Zhou, Xiaobo Zhang, Zhehao Zhang, Hailong Zheng
MvRNA: A New Multi-view Deep Neural Network for Predicting Parkinson's Disease. PAKDD (2) (2024)
Yi Zhang, Sen Wang, Zhi Chen, Xuwei Xu, Stano Funiak, Jiajun Liu
Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation. PAKDD (2) (2024)
Ziheng Zhou, Ying Zhao, Haojia Zuo, Wenguang Chen
Ranking Enhanced Supervised Contrastive Learning for Regression. PAKDD (2) (2024)
Guangmo Tong, Peng Zhao, Mina Samizadeh
Query-Decision Regression Between Shortest Path and Minimum Steiner Tree. PAKDD (2) (2024)
Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar
Transformer based Multitask Learning for Image Captioning and Object Detection. PAKDD (2) (2024)
Bokyeong Yoon, Yoonsang Han, Gordon Euhyun Moon
Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling. PAKDD (2) (2024)
Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2) (2024)
Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu
GraphNILM: A Graph Neural Network for Energy Disaggregation. PAKDD (2) (2024)
Kyeongman Park, Nakyeong Yang, Kyomin Jung
LongStory: Coherent, Complete and Length Controlled Long Story Generation. PAKDD (2) (2024)
Yinon Horev, Shiraz Shay, Sarel Cohen, Tobias Friedrich, Davis Issac, Lior Kamma, Aikaterini Niklanovits, Kirill Simonov
A Contraction Tree SAT Encoding for Computing Twin-Width. PAKDD (2) (2024)
Hanane Ariouat, Youcef Sklab, Marc Pignal, Florian Jabbour, Régine Vignes-Lebbe, Edi Prifti, Jean-Daniel Zucker, Eric Chenin
Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism. PAKDD (2) (2024)
Yunchao Zhang, Kewen Liao, Zhibin Liao, Longkun Guo
Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. PAKDD (2) (2024)
Nicholas Majeske, Ariful Azad
Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting. PAKDD (2) (2024)
Fengda Zhu, Vincent CS Lee, Rui Liu
Communicative and Cooperative Learning for Multi-agent Indoor Navigation. PAKDD (2) (2024)
Jae Won Choi, Yuzhou Chen, José Frías, Joel Castillo, Yulia R. Gel
Revisiting Link Prediction with the Dowker Complex. PAKDD (2) (2024)
Ziye Luo, Ying Xiong, Buzhou Tang
Path-Aware Cross-Attention Network for Question Answering. PAKDD (2) (2024)
Andrzej Bedychaj, Jacek Tabor, Marek Smieja
StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. PAKDD (2) (2024)
Man-Jie Yuan, Zheng Zou, Wei Gao
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference. PAKDD (2) (2024)
Hui-Ju Hung, Wang-Chien Lee, Chih-Ya Shen, Fang He, Zhen Lei
Leveraging Transfer Learning for Enhancing Graph Optimization Problem Solving. PAKDD (2) (2024)
Qiang Sun, Du Q. Huynh, Mark Reynolds, Wei Liu
Are Graph Embeddings the Panacea? - An Empirical Survey from the Data Fitness Perspective. PAKDD (2) (2024)
Jeongho Kim, Simon S. Woo
Relation-Aware Label Smoothing for Self-KD. PAKDD (2) (2024)
Yu-Hsiu Chen, Zhi Rui Tam, Hong-Han Shuai
Personalized EDM Subject Generation via Co-factored User-Subject Embedding. PAKDD (2) (2024)
Dongzhuoran Zhou, Hui Yang, Bo Xiong, Yue Ma, Evgeny Kharlamov
Alleviating Over-Smoothing via Aggregation over Compact Manifolds. PAKDD (2) (2024)
Binh Minh Le, Simon S. Woo
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning. PAKDD (2) (2024)
Hanbing Liu, Jingge Wang, Xuan Zhang, Ye Guo, Yang Li
Enhancing Continuous Domain Adaptation with Multi-path Transfer Curriculum. PAKDD (2) (2024)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) (2024)
Lili Wang, Chenghan Huang, Ruiye Yao, Chongyang Gao, Weicheng Ma, Soroush Vosoughi
Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks. PAKDD (2) (2024)
Zhijie Qu, Juan Li, Zerui Ma, Jianqiang Li
CMed-GPT: Prompt Tuning for Entity-Aware Chinese Medical Dialogue Generation. PAKDD (2) (2024)
Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen
On Dark Knowledge for Distilling Generators. PAKDD (2) (2024)
Alexandru Ghita, Radu Tudor Ionescu
A New Loss for Image Retrieval: Class Anchor Margin. PAKDD (2) (2024)
Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Hisashi Kashima
Treatment Effect Estimation Under Unknown Interference. PAKDD (2) (2024)
Yan-Ting Ye, Ting-An Chen, Ming-Syan Chen
AdaPQ: Adaptive Exploration Product Quantization with Adversary-Aware Block Size Selection Toward Compression Efficiency. PAKDD (2) (2024)
Mi Wen, Hongwei Wang, Yunsheng Xue, Yi Wu, Hong Wen
Improving Structural and Semantic Global Knowledge in Graph Contrastive Learning with Distillation. PAKDD (2) (2024)
Chi-Chang Li, Jay Huang, Wing-Kai Hon, Che-Rung Lee
RPH-PGD: Randomly Projected Hessian for Perturbed Gradient Descent. PAKDD (2) (2024)
Dimuthu Lakmal, Kushani Perera, Renata Borovica-Gajic, Shanika Karunasekera
Spatial-Temporal Bipartite Graph Attention Network for Traffic Forecasting. PAKDD (2) (2024)

volume 14646, 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 II PAKDD (2) 14646 (2024)

2023

volume 13936, 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 II PAKDD (2) 13936 (2023)