activity
20202026
most cited-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19

27 citations · 28 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AI2026

JudgePanel: A Compact Judge with Panel Deliberation via Adaptive Multi-Reward Reinforcement Learning

Yiyue Qian, Shinan Zhang, Huan Song +1

The LLM-as-a-Judge paradigm has emerged as a scalable alternative to human evaluation. However, single-model judges are limited by their inherent model biases, while multi-agent ev…

cs.AI2026

Brick-DICL: Dynamic In-Context Learning for Automated Brick Schema Classification

Yiyue Qian, Shinan Zhang, Huan Song +3

Building Management Systems (BMS) are essential for optimizing energy efficiency and operational performance in modern buildings. However, the lack of standardization across BMS po…

cs.LG2026

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs

Tianyi Ma, Yiyue Qian, Zehong Wang +3

Hypergraph Neural Networks (HyGNNs) have demonstrated remarkable success in modeling higher-order relationships among entities. However, their performance often degrades on heterop…

cs.LG2026

OPBench: A Graph Benchmark to Combat the Opioid Crisis

Tianyi Ma, Yiyang Li, Yiyue Qian +4

The opioid epidemic continues to ravage communities worldwide, straining healthcare systems, disrupting families, and demanding urgent computational solutions. To combat this letha…

cs.AI2025

Learning from Generalization Patterns: An Evaluation-Driven Approach to Enhanced Data Augmentation for Fine-Tuning Small Language Models

Huan Song, Deeksha Razdan, Yiyue Qian +6

Small Language Models (SLMs) offer compelling advantages in deployment cost and latency, but their accuracy often lags behind larger models, particularly for complex domain-specifi…

cs.IR2025

AutoData: A Multi-Agent System for Open Web Data Collection

Tianyi Ma, Yiyue Qian, Zheyuan Zhang +9

The exponential growth of data-driven systems and AI technologies has intensified the demand for high-quality web-sourced datasets. While existing datasets have proven valuable, co…

cs.LG2025

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection

Tianyi Ma, Yiyue Qian, Zehong Wang +3

As the market for illicit drugs remains extremely profitable, major online platforms have become direct-to-consumer intermediaries for illicit drug trafficking participants. These…

cs.SI2025

Adaptive Expansion for Hypergraph Learning

Tianyi Ma, Yiyue Qian, Shinan Zhang +2

Hypergraph, with its powerful ability to capture higher-order relationships, has gained significant attention recently. Consequently, many hypergraph representation learning method…

cs.LG2022★ 1 cited

Graph Contrastive Learning with Cross-view Reconstruction

Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang +3

Among different existing graph self-supervised learning strategies, graph contrastive learning (GCL) has been one of the most prevalent approaches to this problem. Despite the rema…

cs.SI2020★ 27 cited

-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19

Yanfang Ye, Shifu Hou, Yujie Fan +5

The novel coronavirus and its deadly outbreak have posed grand challenges to human society: as of March 26, 2020, there have been 85,377 confirmed cases and 1,293 reported deaths i…