CV

Education

B.S. in Computer Sciences, Zhejiang University, 2016
M.S. in Computer Sciences, Institute of Computing Technology, Chinese Academy of Sciences, 2018
Ph.D in Computer Sciences, Institute of Computing Technology, Chinese Academy of Sciences, 2022 (expected)

Publications

The Open Knowledge System for TAC KBP 2017

Path reasoning over knowledge graph: A multi-agent and reinforcement learning based method

Self-learning and embedding based entity alignment

Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs

Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

Integrating Deep Event-Level and Script-Level Information for Script Event Prediction

What is Event Knowledge Graph: A Survey

Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning

基于多历史序列联合演化建模的两阶段时序知识图谱推理

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning

大数据分析处理技术与应用前沿

时态知识图谱的推理研究综述

Rich Event Modeling for Script Event Prediction

Semantic Structure Enhanced Event Causality Identification

Temporal Knowledge Graph Reasoning Based on N-tuple Modeling

ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets

Unlocking the Power of Large Language Models for Entity Alignment

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction

Selective Temporal Knowledge Graph Reasoning

Self-Improvement Programming for Temporal Knowledge Graph Question Answering

Nested Event Extraction upon Pivot Element Recogniton

An In-Context Schema Understanding Method for Knowledge Base Question Answering

Retrieval-Augmented Code Generation for Universal Information Extraction

Multi-task Instruction Tuning for Temporal Question Answering over Knowledge Graphs

A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning

Large Language Model-Based Event Relation Extraction with Rationales