5 citations · 13 across the 11 of their papers we have counts for
12 papers
Identification and Estimation of Treatment Effects from Network Data with Confounded Social Links
Licheng Liu
In observational network data, the adoption of a treatment and the formation of social ties often depend on the same characteristics that affect outcomes. We propose a generalized…
Navigating Unreliable Parametric and Contextual Knowledge: Explicit Knowledge Conflict Resolution for LLM Inference
Huang Peng, Jiuyang Tang, Weixin Zeng +2
Large language models (LLMs) have achieved strong performance across a wide range of language-based tasks by leveraging both extensive parametric knowledge and in-context learning…
CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair
Weixuan Sun, Jucai Zhai, Dengfeng Liu +6
The automated repair of C++ compilation errors presents a significant challenge, the resolution of which is critical for developer productivity. Progress in this domain is constrai…
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
Hao Guo, Zihan Ma, Zhi Zeng +4
Social platforms, while facilitating access to information, have also become saturated with a plethora of fake news, resulting in negative consequences. Automatic multimodal fake n…
Multi-modal Entity Alignment in Hyperbolic Space
Hao Guo, Jiuyang Tang, Weixin Zeng +2
Many AI-related tasks involve the interactions of data in multiple modalities. It has been a new trend to merge multi-modal information into knowledge graph(KG), resulting in multi…
Towards Entity Alignment in the Open World: An Unsupervised Approach
Weixin Zeng, Xiang Zhao, Jiuyang Tang +3
Entity alignment (EA) aims to discover the equivalent entities in different knowledge graphs (KGs). It is a pivotal step for integrating KGs to increase knowledge coverage and qual…
Reinforcement Learning based Collective Entity Alignment with Adaptive Features
Weixin Zeng, Xiang Zhao, Jiuyang Tang +2
Entity alignment (EA) is the task of identifying the entities that refer to the same real-world object but are located in different knowledge graphs (KGs). For entities to be align…
Degree-Aware Alignment for Entities in Tail
Weixin Zeng, Xiang Zhao, Wei Wang +2
Entity alignment (EA) is to discover equivalent entities in knowledge graphs (KGs), which bridges heterogeneous sources of information and facilitates the integration of knowledge.…
Collective Entity Alignment via Adaptive Features
Weixin Zeng, Xiang Zhao, Jiuyang Tang +1
Entity alignment (EA) identifies entities that refer to the same real-world object but locate in different knowledge graphs (KGs), and has been harnessed for KG construction and in…
Plug and Play! A Simple, Universal Model for Energy Disaggregation
Guoming Tang, Kui Wu, Jingsheng Lei +1
Energy disaggregation is to discover the energy consumption of individual appliances from their aggregated energy values. To solve the problem, most existing approaches rely on eit…
Household Electricity Consumption Data Cleansing
Guoming Tang, Kui Wu, Jian Pei +2
Load curve data in power systems refers to users' electrical energy consumption data periodically collected with meters. It has become one of the most important assets for modern p…
From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data
Guoming Tang, Kui Wu, Jingsheng Lei +2
In power systems, load curve data is one of the most important datasets that are collected and retained by utilities. The quality of load curve data, however, is hard to guarantee…