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20242026
most citedMulti-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data

11 citations · 11 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Robust Biomolecular Complex Design Across Protein Conformational Landscapes

Qingyuan Zeng, Zongqi Xu, Anglin Liu +7

Proteins populate conformational ensembles, yet structure-based biomolecular design typically optimizes candidates against a single target conformation. Consequently, a candidate t…

cs.AI2026

BIRD: Distilling Decision Boundaries into Rationales for MLLM Adaptation

Anglin Liu, Yanlin Wu, Ruichao Chen +6

Adapting general-purpose multimodal large language models (MLLMs) to specialized domains requires learning domain-specific decision criteria, which often hinge on subtle visual dis…

cs.AI2026

PATH: Next-Interval Prediction via Autoregressive Tree Hierarchy on Tabular Data

Pengxiang Cai, Wanchen Lian, Chenyang Liu +4

Interval prediction aims to achieve a target coverage level while producing intervals that are as short as possible. Many conformal regression pipelines first predict an uncertaint…

cs.AI2026

JustLLMGRPO: Radiographic Control for Chest X-Ray Generation

Pengxiang Cai, Xiaohan Li, Anglin Liu +3

Text-conditioned chest X-ray generation aims to synthesize realistic radiographs that faithfully depict specified findings. Existing work has primarily improved quality by updating…

cs.AI2024

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models

Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung +1

While image-to-text models have demonstrated significant advancements in various vision-language tasks, they remain susceptible to adversarial attacks. Existing white-box attacks o…