collaborators

11 papers

cs.AI2026

RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection

Yan Hong, Wei Li, Kedong Xiu +6

Knowledge injection updates pretrained MLLMs with new factual or domain-specific knowledge, but fitting full authoritative answers can cause drift in non-updated behavior. Online d…

stat.ML2026

LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models

Yan Hong, Kedong Xiu, Wei Li +6

We study controlled post-training refusal suppression in routed MoE and hybrid-MoE foundation models, aiming to increase non-refusal target-response behavior while preserving gener…

cs.CV2026

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations

Haozhen Yan, Yan Hong, Jiahui Zhan +5

Recent advances in image manipulation have enabled highly photorealistic content generation, but also lowered the barrier to arbitrary editing, raising concerns about multimedia au…

cs.CV2026

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images

Yikun Ji, Yan Hong, Bowen Deng +5

The rapid growth of AI-generated imagery has blurred the boundary between real and synthetic content, raising practical concerns for digital integrity. Vision-language models (VLMs…

cs.CV2026

GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection

Haozhen Yan, Yan Hong, Suning Lang +6

With generative models becoming increasingly sophisticated and diverse, detecting AI-generated images has become increasingly challenging. While existing AI-genereted Image detecto…

cs.CV2026

VTONGuard: Automatic Detection and Authentication of AI-Generated Virtual Try-On Content

Shengyi Wu, Yan Hong, Shengyao Chen +5

With the rapid advancement of generative AI, virtual try-on (VTON) systems are becoming increasingly common in e-commerce and digital entertainment. However, the growing realism of…