PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction
Comments Accepted at Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2022
期刊&会议
KDD
ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 会议 · Data Mining
Neural Insights for Digital Marketing Content Design
Journal ref International Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, pp. 4320-4332, 2023
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
Comments 13 pages, 4 figures, accepted by SIGKDD-2023
Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results
Comments Accepted at The 6th Workshop on e-Commerce and NLP (ECNLP 6), KDD'23, Long Beach, CA
OpportunityFinder: A Framework for Automated Causal Inference
Comments KDD 2023 Workshop - Causal Inference and Machine Learning in Practice
Optimal Dynamic Subset Sampling: Theory and Applications
Comments ACM SIGKDD 2023
ChatGPT Informed Graph Neural Network for Stock Movement Prediction
Comments Dataset is available at [https://github.com/ZihanChen1995/ChatGPT-GNN-StockPredict]. Accepted for the oral presentation at SIGKDD 2023 Workshop on Robust NLP for Finance
VRDU: A Benchmark for Visually-rich Document Understanding
Comments KDD 2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
Comments Accepted to KDD 2023 Applied Data Science Track
Path-Specific Counterfactual Fairness for Recommender Systems
Comments Accepted by KDD 2023 research track
Adversaries with Limited Information in the Friedkin--Johnsen Model
Comments KDD'23
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction
Comments 9 pages, 3 figures, 7 tables. Accepted by 2023 KDD Workshop on Machine Learning in Finance
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
Comments Accepted by KDD 2023 Applied Data Science (ADS) track
What Makes Good Open-Vocabulary Detector: A Disassembling Perspective
Journal ref KDD workshop 2023
Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM
Journal ref Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications
Comments KDD 2022 Workshop on First Content Understanding and Generation for e-Commerce
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
Comments Accepted by KDD 2023
An Ensemble Approach to Personalized Real Time Predictive Writing for Experts
Comments ACM SIGKDD Workshop on Machine Learning in Finance, 2023
Task Relation-aware Continual User Representation Learning
Comments KDD 2023
Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions
Comments This paper is an extended version of the one accepted at the KDD 2023 Workshop on Data Science and AI for Sports (DSAI4Sports), entitled 'RallyGraph: Specialized Graph Encoding for Enhanced Volleyball'
Graph Neural Bandits
Comments Accepted to SIGKDD 2023
Accelerating Antimicrobial Peptide Discovery with Latent Structure
Comments KDD 2023
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
Comments to appear in SIGKDD Explorations (December 2023)
Enhance Diffusion to Improve Robust Generalization
Comments Accepted at KDD 2023
BIRP: Bitcoin Information Retrieval Prediction Model Based on Multimodal Pattern Matching
Comments 5 pages, 2 figures, KDD 2023 Machine Learning in Finance workshop
Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem
Comments Published in KDD'23
Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders
Comments Accepted to evalRS 2023@KDD
Learning on Graphs with Out-of-Distribution Nodes
Comments Accepted by KDD'22
Context-aware Event Forecasting via Graph Disentanglement
Comments KDD 2023, 9 pages, 7 figures, 4 tables
A Feature Set of Small Size for the PDF Malware Detection
Comments Accepted for publication at the ACM SIGKDD & Annual KDD Conference workshop on Knowledge-infused Machine Learning, 2023
