activity
20172026
most citedSelf-supervised Learning on Graphs: Deep Insights and New Direction

111 citations · 543 across the 63 of their papers we have counts for

collaborators

69 papers

cs.CV2026

Personalized Image Generation with Reasoning and Reflection

Bo Ni, Ngoc N. Tran, Qinwen Ge +10

Personalized image generation has remained narrowly focused on conditional synthesis from curated visual exemplars, rather than capturing who a user is. In practice, however, a use…

cs.CL2026

Prompt2Skill: Unsupervised Skill Optimization From Natural Language Instructions

Bo Ni, Li Li, Ryan A. Rossi +2

Skills are external artifacts that Large Language Models (LLMs) consume at inference time to improve their performance on specialized domains by incorporating relevant procedural a…

cs.CV2026

Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy

Abhinav Sharma, Sai Karthik Navuluru, Wang Wei +21

Video and audio are perceived together, yet most generative models treat them in isolation. We examine methods that model the two modalities jointly, generate one from the other, o…

cs.LG2026

Reachability-Based Formal Verification of Graph Neural Networks with Node and Edge Features

Anne M. Tumlin, Ben Wooding, Zhenxuan Shao +3

Graph neural networks (GNNs) have become a prominent approach for developing fast, topology-aware surrogates in electric power systems, supporting tasks such as power flow (PF) ana…

cs.AI2026

AutoKD: Autonomous Knowledge Discovery

Qinwen Ge, Bo Ni, Haowei Fu +3

Scientific discovery in data-rich domains is currently constrained by human bandwidth: the growth in the volume and complexity of real-world data far outpaces the rate at which res…

cs.LG2026

RAD: Rule-Augmented Relational Anomaly Detection

Noah Dahle, Anne Tumlin, Ngoc Tran +2

Anomaly detection is often applied to data stored in relational databases, yet most existing methods require flattening multiple tables into a single feature matrix. This flattenin…