collaborators

7 papers

cs.IR2026

Rethinking Evidence Modeling: Context-Coupled Graph Learning for Multimodal Recommendation

Mingqiao Zhang, Qiyao Peng, Yumeng Wang +3

Multimodal graph recommendation integrates observed interactions with item images and text to learn user preferences. These inputs constitute Semantic-Behavioral Evidence (SBE). Ma…

cs.CL2026

Reciprocal Guidance: Orchestrating Draft and Verify Budgets for Advancing the Diffusion-AR Self-Speculation Frontier

Linye Wei, Shutian Zheng, Haoyu Zeng +1

Diffusion drafting with autoregressive (AR) verification has emerged as a promising paradigm for efficient speculative decoding. Recent self-speculation models, represented by Nemo…

cs.CL2026

TEAM: Temporal-Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration

Linye Wei, Zixiang Luo, Pingzhi Tang +1

Diffusion large language models (dLLMs) have recently gained significant attention due to their inherent support for parallel decoding. Building on this paradigm, Mixture-of-Expert…

cs.CL2025

Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models

Linye Wei, Wenjue Chen, Pingzhi Tang +4

Diffusion-based large language models (dLLMs) have recently gained significant attention for their exceptional performance and inherent potential for parallel decoding. Existing fr…

cs.AR2025

No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering

Linye Wei, Jiajun Tang, Fan Fei +3

3D Gaussian Splatting (3DGS) enables high-quality rendering of 3D scenes and is getting increasing adoption in domains like autonomous driving and embodied intelligence. However, 3…

eess.AS2025

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding

Linye Wei, Shuzhang Zhong, Songqiang Xu +3

Large language model (LLM)-based automatic speech recognition (ASR) has recently attracted a lot of attention due to its high recognition accuracy and enhanced multi-dialect suppor…

cs.CV2025

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO

Hengyi Zhu, Linye Wei, He Li

The integration of large-scale circuits and systems emphasizes the importance of automated defect detection of electronic components. The YOLO image detection model has been used t…