15 citations · 18 across the 8 of their papers we have counts for
8 papers
APEX-Searcher: Refining Credit Assignment with Subgoaling for Agentic Retrieval-Augmented Generation
Kun Chen, Qingchao Kong, Zhao Feifei +1
Retrieval-augmented generation (RAG) connects large language models (LLMs) to external knowledge, but single-round retrieval is often insufficient for complex multi-hop questions.…
Agentic Reward Modeling: Verifying GUI Agent via Progressive Trajectory-Grounded Interaction
Chaoqun Cui, Jing Huang, Shijing Wang +3
Reinforcement learning with verifiable rewards (RLVR) provides a promising pathway for continuously advancing GUI agents, yet existing reward modeling paradigms face complementary…
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
Hanxuan Yang, Zhaoxin Yu, Qingchao Kong +2
Graph representation learning is a fundamental research issue in various domains of applications, of which the inductive learning problem is particularly challenging as it requires…
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning
Hanxuan Yang, Qingchao Kong, Wenji Mao
Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. I…
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning
Hanxuan Yang, Ruike Zhang, Qingchao Kong +1
Graph representation learning is a fundamental research issue and benefits a wide range of applications on graph-structured data. Conventional artificial neural network-based metho…
A Deep Latent Space Model for Graph Representation Learning
Hanxuan Yang, Qingchao Kong, Wenji Mao
Graph representation learning is a fundamental problem for modeling relational data and benefits a number of downstream applications. Traditional Bayesian-based graph models and re…
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Shuai Wang, Penghui Wei, Qingchao Kong +1
To inhibit the spread of rumorous information and its severe consequences, traditional fact checking aims at retrieving relevant evidence to verify the veracity of a given claim. F…
Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures
Shuai Wang, Qingchao Kong, Yuqi Wang +1
Social media, such as Facebook and Twitter, has become one of the most important channels for information dissemination. However, these social media platforms are often misused to…