Hao Liu

Parameters of two classes of LCD BCH codes

2016 · arXiv (Cornell University)

Historically, LCD cyclic codes were referred to as reversible cyclic codes, which had application in data storage. Due to a newly discovered application in cryptography, there has been renewed interest on LCD codes. In this …

Out-of-Town Recommendation with Travel Intention Modeling

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Out-of-town recommendation is designed for those users who leave their home-town areas and visit the areas they have never been to before. It is challenging to recommend Point-of-Interests (POIs) for out-of-town users since the out-of-town …

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

2022 · arXiv (Cornell University)

We introduce Contrastive Intrinsic Control (CIC), an algorithm for unsupervised skill discovery that maximizes the mutual information between state-transitions and latent skill vectors. CIC utilizes contrastive learning between state-transitions and skills to learn behavior embeddings …

A Grouping Method of Sea Battlefield Targets Based on The Improved Nearest Neighbor Algorithm

2022 · 2022 IEEE International Conference on Unmanned Systems (ICUS)

In the situation analysis and assessment aspect, the group identification of battlefield targets is very important. It is one of the key issues that commanders are concerned about in commanding operations, and it is also …

When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook

2023 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have emerged as powerful representation learning tools for capturing complex dependencies within diverse graph-structured data. Despite their success in a wide range of graph mining tasks, GNNs have raised serious concerns …

ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research

2025

Scientific researchers need intensive information about datasets to effectively evaluate and develop theories and methodologies. The information needs regarding datasets are implicitly embedded in particular research tasks, rather than explicitly expressed in search queries. However, …

LLM-Oriented Information Retrieval: A Denoising-First Perspective

2026 · Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Modern information retrieval (IR) is no longer consumed primarily by humans but increasingly by large language models (LLMs) via retrieval-augmented generation (RAG) and agentic search. Unlike human users, LLMs are constrained by limited attention budgets …