Detailed Schedule | Oral Online | Slot 4 | Online Room C
Evening July 25 19:00-23:00 北京 CST | July 25 07:00-11:00 Toronto EDT
Online Room C | Evening July 25 19:00-23:00
Session 1
Chair: Binghao Zhao
Online Room C
Knowledge Discovery and Data Mining
Integrating Long-term Multi-Interest and Conditional Diffusion Enhancement for Sequential Recommendation
Shuailei Li
Knowledge Discovery and Data Mining
Device Type Identification with Deep Metric Learning
xinyu yin, chengxi xu, fan shi, jinfeng peng, ye li, jiatang zhao
Knowledge Discovery and Data Mining
LogicSGL: Uncertainty-Calibrated Structure-Level
LLM Distillation for Sparse and Noisy Interaction
Graphs
Guoan Liu, Jinjin Gu, ZhiJian Fang
Knowledge Discovery and Data Mining
Hyperbolic Space-Based Dual Graph Fusion for Knowledge Tracing
Mingrong Lin, Guangtao Zhang, Zhengyang Wu
Knowledge Discovery and Data Mining
A Joint Sound Localization and Classification Method Embedded with Multi-Stage Attention and Dynamic Training Strategy
Zheng Wang, Zhijian Huang, YanXin Ma, Peng Zhang, Hangcheng Mo
Knowledge Discovery and Data Mining
Frequency Energy Adaptive Normalization for Non-Stationary Time Series Forecasting
Qingbao Guan; Yu Guo; Liyu Luo; Lei Duan
Knowledge Discovery and Data Mining
Multi‐source Anomaly Detection Using Feature Selection and Relevant Subspace
Yang Ma, Xujun Zhao, Jifu Zhang, Jianghui Cai, Haifeng Yang
Knowledge Discovery and Data Mining
DHCom-NAS: Dynamic Heterogeneous Community Detection via Neural Architecture Search
Mo Yu, Chaobo He, Zhengyang Wu
Knowledge Discovery and Data Mining
Predictive Pruning for Graph of Thoughts in Multi-Hop Reasoning
Jiaren Zou, Miao Fan, Bo Gao, Chen Ma, Guanghui Shu, Haoyi Xiong
Knowledge Discovery and Data Mining
LogAMF: Adaptive Multi-feature Fusion for Log Anomaly Detection
Guanyao Du, Haonan Chen, Jing Zhao, Yaohui Wang, Wei Wan, Chun Long, Yize Wu
Knowledge Discovery and Data Mining
DGHKT: Adaptive Dual-view Gated Hypergraph Networks for Knowledge Tracing
Binghao Zhao, Xiankun Zhang, Siqi Zheng
Session 2
Chair: Yuechan Li
Online Room C
Knowledge Discovery and Data Mining
Mitigating Popularity Bias in Recommendation with Diffusion-Contrastive Learning and Gated Alignment
Xuguang Yang, Baojun Tian, Jiandong Fang
Knowledge Discovery and Data Mining
Course-to-Concept Graph Recommendation for Next-Course Prediction in MOOCs
Guannian Chen, Fanjun Meng, Yan Gou, Xingjian Xu
Knowledge Discovery and Data Mining
Quantitative Research on Information Cocoon of Social Network Users based on System Dynamics Model
Ziyi Yu and Guofang Zhang
Knowledge Discovery and Data Mining
DSDKT: Robust Knowledge Tracing via Trend Residual Decomposition and Difficulty Debiasing
Zhenxing Chen, Qingjing Fei, Albert Chen, jianwen chen
Knowledge Discovery and Data Mining
Dual-View Uncertainty-Aware Representation Learning for Tabular Anomaly Detection
Yuechan Li