Zhou, Wei

Novelty Detection in Reinforcement Learning with World Models

Reinforcement learning (RL) using world models has found significant recent successes. However, when a sudden change to world mechanics or properties occurs then agent performance and reliability...

Inventory-Grounded Policy-Level Optimization for Training-Free AI Search

MELD: Mel-Spectrogram-Based Speech Language Modeling with Discrete Latent Variables

Don't Guess, Ask Wisely: Benchmarking and Training Proactive Elicitation in Open-Domain LLM Conversations

Evading Fake News Detection: Self-evolving Social Manipulation via LLM-driven Agent Orchestration

Expanding the Solvable Frontier: Policy-Adaptive Curriculum Learning for Reasoning RL

MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG

Learning Personalized Prompts for Healthcare Guidance

Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation

A Deep Relevance Model for Zero-Shot Document Filtering

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce

Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots

An Intelligent Testing Strategy for Vocabulary Assessment of Chinese Second Language Learners

Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning

Label-Specific Dual Graph Neural Network for Multi-Label Text Classification

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

Challenging distributional models with a conceptual network of philosophical terms

A Unified Propagation Forest-based Framework for Fake News Detection