Who Says What to Whom: A Survey of Multi-Party Conversations

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges

A Survey on Dialogue Summarization: Recent Advances and New Frontiers

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks

Neural Re-ranking in Multi-stage Recommender Systems: A Review

Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always

Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion

Agg Pose: Deep Aggregation Vision Transformer for Infant Pose Estimation

Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction

S2SNet: A Pretrained Neural Network for Superconductivity Discovery

Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks

Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning

An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas

VMAgent: A Practical Virtual Machine Scheduling Platform