Detailed Schedule | Oral Online | Slot 2 | Online Room B
Evening July 24 19:00-23:00 北京 CST | July 24 07:00-11:00 Toronto EDT
Online Room B | Evening July 24 19:00-23:00
Session 1
Chair: zeyu zhang
Online Room B
Machine Learning
FedDAC: Personalized Federated Learning Based on Dual-Space Alignment and Collaboration
Xiaohui Yang, Jiaxiang Wu, Zixuan Liu, Hailong Ma, Weijie Geng
Machine Learning
ED-PNA: Execution-Decoupled Structure-Equivalent Reconstruction for PNA Inference
Jingyong Du, Fang Liu, Jianhua Lu, Jiahao Gu, Wei Hu
Machine Learning
GCN-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Analysis
Li Xu, Yatao Shi, Zhenpeng Li, Fengping Zhu, Huihui Yan, Xiaoran Shi, Xiaodong Sun, Ye Win Aung, Alex Michel Daoud
Machine Learning
Deep Reinforcement Learning Based Cooperative Transmission Optimization for IRS-Assisted Multi-UAV Covert Communication
Zixuan Liu, Wenting Su, Bo Zhang, Ming ma
Machine Learning
RCIM-FL: Incentive Mechanism for Federated Learning Based on Reputation Mechanism and Contract Theory
Xiaohui Yang, Wenbo Yuan
Machine Learning
A Decision Tree Algorithm Based on Ordered Pair of Normalized Real Numbers
Yiyang Zhong, Xiaoqin Pan, Yi Zheng, Lei Zhou
Machine Learning
Learner-Exercises Bidirectional Dynamic Interaction Knowledge Tracing
Chuxiong Zhou, Liping Zhang, Sheng Yan, Min Hou, Jiayi Cheng
Machine Learning
FedFSA: Fine-Grained Parameter-wise Personalization and Adaptive Privacy via Fisher-Guided Soft-Masking
Pu Jing, Changji Wang, Zhen Liu, Ning Liu, Jingjing Zhang, Qingqing Gan, Zijie Li
Machine Learning
Learning to Refine Solutions via Geometry-Aware Multi-turn Supervision for the Traveling Salesman Problem
Tongkai Lu
Machine Learning
A Malicious URL Detection method based on Dual-Modal Fusion of URL Strings and Meta Information
Yong Zhu, Lingfang Li, Liyong Zhou, Haidong Hu
Machine Learning
DualCrossAD: Interpretable DualCross-Attention for Time Series Anomaly Detection
zeyu zhang, gaizhi guo
Session 2
Chair: YIFANG WANG
Online Room B
Machine Learning
PromptEvo: Self-Evolving Prompt Tuning for LLM Agents in StarCraft II
Zhigang Meng, Zhikai Yang
Machine Learning
FedMSFD: Mistake-aware and Structured Feature Distillation for Non-IID Federated Learning
Miaomiao He, Linlin Zhang, Shuo Li, Ke Li, Xuehua Bi
Machine Learning
TF-ConvAD: Decomposition-based Temporal-Frequency Representation Learning for Time Series Anomaly Detection
Mengling Tang, Lili Guan, Lei Duan
Machine Learning
ProActive-Shard: A GNN and RL-Enabled Proactive Sharding Framework for Load Balancing in Blockchain
Yuetong Weng, Jun Li, Yu Lu, Sen Yang, Wenbo Fang, Linlin Zhang, Yumin Yuan, Junjiang He
Machine Learning
DPFT: A Framework for Decomposed Probabilistic Forecasting with Transformers
YIFANG WANG, BOLIANG YUAN, MENGJIE MAO, XINYUN ZHANG, YIHENG ZHONG, XINKUN WANG, SENWEI LIANG