activity
20242026
most citedGWQ: Gradient-Aware Weight Quantization for Large Language Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Evidence-Grounded Forensic Reasoning for Detecting and Grounding Multi-Modal Media Manipulation

Yichun Yeh, Yiheng Li, Xiaobo Hu +2

Fake news increasingly relies on cross-modal image-text forgeries, making transparent and verifiable reasoning chains an urgent need for Detecting and Grounding Multi-Modal Media M…

cs.CV2025

Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning

Yiheng Li, Zichang Tan, Guoqing Xu +3

In AI-generated image detection, current cutting-edge methods typically adapt pre-trained foundation models through partial-parameter fine-tuning. However, these approaches often s…

cs.CV2025

Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation

Yiheng Li, Yang Yang, Zichang Tan +4

To tackle the threat of fake news, the task of detecting and grounding multi-modal media manipulation DGM4 has received increasing attention. However, most state-of-the-art methods…

cs.CV2025

CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection

Yiheng Li, Yang Yang, Zhen Lei

Fusing multi-modality inputs from different sensors is an effective way to improve the performance of 3D object detection. However, current methods overlook two important conflicts…

cs.CV2024

RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection

Yiheng Li, Yang Yang, Zhen Lei

In radar-camera 3D object detection, the radar point clouds are sparse and noisy, which causes difficulties in fusing camera and radar modalities. To solve this, we introduce a nov…

cs.LG2024★ 1 cited

GWQ: Gradient-Aware Weight Quantization for Large Language Models

Yihua Shao, Yan Gu, Siyu Chen +12

Large language models (LLMs) show impressive performance in solving complex language tasks. However, its large number of parameters presents significant challenges for the deployme…