activity
20192026
most citedCORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding

35 citations · 72 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2026

From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs

Le Zhang, Jihan Yang, Soundarya Krishnan +11

Human-level agentic intelligence extends beyond low-level geometric perception, evolving from recognizing where things are to understanding what they are for. While existing benchm…

cs.CL2025★ 6 cited

Evaluating Evaluation Metrics -- The Mirage of Hallucination Detection

Atharva Kulkarni, Yuan Zhang, Joel Ruben Antony Moniz +5

Hallucinations pose a significant obstacle to the reliability and widespread adoption of language models, yet their accurate measurement remains a persistent challenge. While many…

cs.CL2024

Time Sensitive Knowledge Editing through Efficient Finetuning

Xiou Ge, Ali Mousavi, Edouard Grave +5

Large Language Models (LLMs) have demonstrated impressive capability in different tasks and are bringing transformative changes to many domains. However, keeping the knowledge in L…

cs.AI2023★ 5 cited

Knowledge Graph Embedding: An Overview

Xiou Ge, Yun-Cheng Wang, Bin Wang +1

Many mathematical models have been leveraged to design embeddings for representing Knowledge Graph (KG) entities and relations for link prediction and many downstream tasks. These…

cs.CL2023

AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations

Yun-Cheng Wang, Xiou Ge, Bin Wang +1

Knowledge graph entity typing (KGET) is a task to predict the missing entity types in knowledge graphs (KG). Previously, KG embedding (KGE) methods tried to solve the KGET task by…

cs.SI2023

Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India

Xiou Ge, Sarah E. Brown, Pushpendra Rana +2

The incorporation of trees on farms can help to improve livelihoods and build resilience among small-holder farmers in developing countries. On-farm trees can help gen- erate addit…

cs.AI2023★ 1 cited

Knowledge Graph Embedding with 3D Compound Geometric Transformations

Xiou Ge, Yun-Cheng Wang, Bin Wang +1

The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model, Compound…

cs.AI2022★ 4 cited

GreenKGC: A Lightweight Knowledge Graph Completion Method

Yun-Cheng Wang, Xiou Ge, Bin Wang +1

Knowledge graph completion (KGC) aims to discover missing relationships between entities in knowledge graphs (KGs). Most prior KGC work focuses on learning embeddings for entities…

cs.AI2022★ 6 cited

CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations

Xiou Ge, Yun-Cheng Wang, Bin Wang +1

Translation, rotation, and scaling are three commonly used geometric manipulation operations in image processing. Besides, some of them are successfully used in developing effectiv…

cs.AI2022

Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers

Xiou Ge, Richard T. Goodwin, Haizi Yu +7

Concrete is the most widely used engineered material in the world with more than 10 billion tons produced annually. Unfortunately, with that scale comes a significant burden in ter…

cs.LG2021★ 35 cited

CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding

Xiou Ge, Yun-Cheng Wang, Bin Wang +1

Entity type prediction is an important problem in knowledge graph (KG) research. A new KG entity type prediction method, named CORE (COmplex space Regression and Embedding), is pro…

cs.LG2021★ 7 cited

KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling

Yun-Cheng Wang, Xiou Ge, Bin Wang +1

Knowledge base completion is formulated as a binary classification problem in this work, where an XGBoost binary classifier is trained for each relation using relevant links in kno…

cs.CV2020

FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method

Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge +3

A light-weight low-resolution face gender classification method, called FaceHop, is proposed in this research. We have witnessed rapid progress in face gender classification accura…

cs.AI2019★ 8 cited

Accelerated Discovery of Sustainable Building Materials

Xiou Ge, Richard T. Goodwin, Jeremy R. Gregory +3

Concrete is the most widely used engineered material in the world with more than 10 billion tons produced annually. Unfortunately, with that scale comes a significant burden in ter…