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PAKDD (2)
2010
2014
2020
2024
2010
2024
Keyphrases
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
Aadityan Ganesh
,
Pratik Ghosal
,
Vishwa Prakash HV
,
Prajakta Nimbhorkar
Fair Healthcare Rationing to Maximize Dynamic Utilities.
PAKDD (2)
(2023)
Najeeb Moharram Jebreel
,
Josep Domingo-Ferrer
,
Yiming Li
Defending Against Backdoor Attacks by Layer-wise Feature Analysis.
PAKDD (2)
(2023)
Wei-I Lin
,
Hsuan-Tien Lin
Reduction from Complementary-Label Learning to Probability Estimates.
PAKDD (2)
(2023)
Masahiro Kohjima
,
Takeshi Kurashima
,
Hiroyuki Toda
Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data.
PAKDD (2)
(2023)
Jisoo Jang
,
Mina Kim
,
Tien-Cuong Bui
,
Wen-Syan Li
Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees.
PAKDD (2)
(2023)
Thanh Le
,
An Pham
,
Tho Chung
,
Truong Nguyen
,
Tuan Nguyen
,
Bac Le
MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction.
PAKDD (2)
(2023)
Nils Henke
,
Shimon Wonsak
,
Prasenjit Mitra
,
Michael Nolting
,
Nicolas Tempelmeier
CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories.
PAKDD (2)
(2023)
Wernsen Wong
,
Yun Sing Koh
,
Gillian Dobbie
Using Flexible Memories to Reduce Catastrophic Forgetting.
PAKDD (2)
(2023)
Talal Algumaei
,
Ruben Solozabal
,
Réda Alami
,
Hakim Hacid
,
Mérouane Debbah
,
Martin Takác
Regularization of the Policy Updates for Stabilizing Mean Field Games.
PAKDD (2)
(2023)
Hansi Jiang
,
Carl Meyer
Relations Between Adjacency and Modularity Graph Partitioning.
PAKDD (2)
(2023)
David Winkel
,
Niklas Strauß
,
Matthias Schubert
,
Yunpu Ma
,
Thomas Seidl
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning.
PAKDD (2)
(2023)
Gözde Özcan
,
Stratis Ioannidis
Stochastic Submodular Maximization via Polynomial Estimators.
PAKDD (2)
(2023)
Muhammad Ifte Khairul Islam
,
Max Khanov
,
Esra Akbas
MPool: Motif-Based Graph Pooling.
PAKDD (2)
(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)