- Language Model.- Collaborative Stance Detection via Small-Large Language Model Consistency Verification.- COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection.- SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering.- Improving Multi-Attribute Fairness in LLM-Based Recommenders through a Mixture-of-Experts Contrastive Learning Method.- Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification.- RBLU: A benchmark to evaluate the reverse inference ability of large language models.- Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.

- Annotating Table Metadata with Knowledge-Enhanced Pre-trained Language Model.- An Evaluation Framework for Long-tail Senses in Large Language Models and Word Sense Disambiguation.- Learnable Relational Knowledge Distillation For Language Model Compression.- An Immersing Oriented Role-Playing Framework with Duplex Relationship Modeling.- SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.- Dual-path Transformer: Aligning Text Embeddings with Market Movements for a New Paradigm of Cross-modal Financial Time Series Prediction.- Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.- LLM-Driven Evidence Retrieval and Graph Learning for Explainable Rumor Detection.

- Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game.- Content-based vs. Similarity-based Deep Learning Approaches for Walkability Assessment.- Log Parsing with LLMs Featuring Self-Reflection and Continuous Refining.- Industry Papers.- Driver Recipient Selection for Traffic Safety Education via Uplift Modeling.- CloudChurn: Optimizing Enterprise Customer Churn Prediction in Cloud Services for Huawei Cloud.- ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting.

- When Multi-scenario Meets Multi-attribute: Scenario and Attribute-aware Recommendation with Contrastive Learning.- AdaF2M2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System.- A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation∗.- A Novel Parallel Graph Computing Model for Unsupervised Fraud Detection.- Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E commerce.- LLM-based Keyphrase-augmented Framework for Semantic Relevance Assessment in E-commerce.- OLearning: A Geo-Distributed System for Device-Cloud Collaborative Computing.- ProRAG: Towards Reliable and Proficient AIGC-Based Digital Avatar.

- Contrastive Scenario-Aware Meta Prompting for Multi-scenario Recommendation.- BAG-RAG: Bidirectional Retrieval-Augmented Generation Based on Multi-Layer Semantic Graphs for Budget Auditing QA.- Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs.- Relation Discovery via Graph Neural Networks in the Era of Large Language Model.- Demo Papers.- GraphCBAL-Sys: A Class-Balanced Active Learning System for Graphs.- KungfuDB: a low latency in-memory time series database for quantitative trading systems.- STAR: Spatio-Temporal Trajectory Recovery for Sparse and Uncertain Marine Trajectories.

- MMKG-RAG: Retrieval-Augmented Generation with Multi-Modal Knowledge Graph.- eBASE: Real-Time Battery Swap Recommendation System for eBike Users.STREAM: A Framework for Sequence Data Analysis, Modeling, and Anomaly Alerts.- Declarative AI-Assisted Range Aggregation Query Framework with Differential Privacy.- Pharmaformer: A Transformer-based pharmacokinetic prediction system.- QiboGraph: A Knowledge Graph for Traditional Chinese Medicine.