Local Boosting for Weakly-Supervised Learning
Comments Accepted by KDD 2023 Research Track
期刊&会议
KDD
ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 会议 · Data Mining
MM-DAG: Multi-task DAG Learning for Multi-modal Data -- with Application for Traffic Congestion Analysis
Comments Accepted in SIGKDD 2023
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search
Comments Accepted in KDD 2023
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs
Comments Accepted in the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023)
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
Comments To be published in the KDD 2023 proceedings as a full paper
Learning to Relate to Previous Turns in Conversational Search
Comments Accepted by SIGKDD 2023 Research Track
R-Mixup: Riemannian Mixup for Biological Networks
Comments Accepted to KDD 2023
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines
Comments full version of a paper accepted to KDD 2023
Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity
Comments Accepted to KDD 2023
Predicting Information Pathways Across Online Communities
Comments In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23)
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Comments KDD 2023
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank
Comments Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Comments Accepted by KDD 2022. Code: https://github.com/RUCAIBox/UniCRS
Fair Labeled Clustering
Comments Accepted to KDD 2022
UnifieR: A Unified Retriever for Large-Scale Retrieval
Comments To appear at KDD ADS 2023
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks
Comments KDD 2023. (Code: https://github.com/PeterGriffinJin/Heterformer)
Data-Efficient and Interpretable Tabular Anomaly Detection
Comments Accepted in 2023 KDD
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
Journal ref Proceedings of the 29th ACM SIGKDD international conference on knowledge discovery and data mining (2023)
Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures
Comments Accepted at KDD 2023
Deep Weakly-supervised Anomaly Detection
Comments Accepted to KDD 2023
Capacity Constrained Influence Maximization in Social Networks
Comments The technical report of the paper entitled 'Capacity Constrained Influence Maximization in Social Networks' in SIGKDD'23
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
Comments In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD23)
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation
Comments Accepted to KDD 2023
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation
Comments Accepted by KDD 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing
Comments Accepted by SIGKDD 2023 Applied Data Science Track
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
Journal ref In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 6-10, 2023, Long Beach, CA, USA. ACM, New York, NY, USA, 18 pages
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Comments KDD'23
Graph Neural Processes for Spatio-Temporal Extrapolation
Comments SIGKDD 2023
Learning Strong Graph Neural Networks with Weak Information
Comments Accepted by KDD 2023. 13 pages, 7 figures, 9 tables
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors -- Algorithm and Application
Comments 12 pages, accept to The 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2023
