most citedMissing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis

1 citations · 3 across the 33 of their papers we have counts for

collaborators

45 papers

cs.CV2026

Learning to Look Again: Loss-Gap Supervision for Free-form Crop Routing in Vision-Language Models

Jinchang Zhu, Rong Fu, Yi Ding +3

Vision-language models (VLMs) fail many detail-centric questions for a concrete reason: the answer is visible in the image, yet lost after the image is compressed into a low-resolu…

cs.CL2026

FCPRAG: Fusion-Controller Parametric Retrieval-Augmented Generation for Stable Multi-Passage LoRA Injection

Jinchang Zhu, Jindong Li, Yi Ding +5

Parametric retrieval-augmented generation (PRAG) injects retrieved evidence into a large language model (LLM) through passage-specific LoRA adapters, reducing reliance on long in-c…

cs.CV2026

MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling

Rong Fu, Chunlei Meng, Yangchen Zeng +9

Video super-resolution (VSR) aims to recover high-fidelity high-resolution videos from low-resolution inputs and is central to applications ranging from mobile capture to streaming…

cs.LG2026

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers

Rong Fu, Yongtai Liu, Xiaowen Ma +5

Longitudinal T cell receptor repertoires contain signals of clonal expansion, contraction, disappearance, and reappearance after immune perturbation. Static repertoire language mod…

cs.DS2026

Degeneracy-Guided List Compression for Greedy Graph Coloring

Rong Fu, Yongtai Liu, Xiaowen Ma +6

We study degeneracy guided list compression for greedy graph coloring when graph structure is available before colors are sampled. Our exposure calibrated ordering framework assign…

cs.CL2026

SQuaD-SQL: Efficient Text-to-SQL with Small Language Models via LLM-Guided Knowledge Distillation

Wangyu Wu, Xiaojian Lin, Rong Fu +4

Text-to-SQL is a fundamental task in natural language processing that enables users to interact with structured databases using natural language. While large language models (LLMs)…