7 citations · 8 across the 11 of their papers we have counts for
14 papers
SAGE: Efficient Protected Vision-Language Inference on Smart Glasses
Zhimin Li, Pan Wang, Jingxian Chen +3
Smart glasses are a promising platform for vision-language assistants, but private split inference remains expensive: protecting visual representations before transmission does not…
From Models to Systems: A Comprehensive Survey of Efficient Multimodal Learning
Pan Wang, Siwei Song, Hui Ji +12
The rapid expansion of multimodal models has surfaced formidable bottlenecks in computation, memory, and deployment, catalyzing the rise of Efficient Multimodal Learning (EML) as a…
Defending Wearable VLMs Against Private Attribute Inference
Zhimin Li, Pan Wang, Jingxian Chen +4
Wearable VLM pipelines promise continuous multimodal assistance from egocentric visual capture: a user asks a task-driven question about the surrounding scene, and the system uses…
SAF3R: Dynamic Sparse Attention for Feed-Forward 3D Reconstruction Transformers
Jianing Deng, Yuanzhe Li, Jialu Wang +4
Feed-forward 3D reconstruction (F3R) transformers have recently achieved remarkable success. However, scaling them to long image sequences remains challenging, as the quadratic com…
Enhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data
Jianing Deng, Qiang Zhou, Jingtong Hu
Facial expression recognition (FER) is crucial for social interaction in mixed reality environments that employ head-mounted displays (HMD). However, collecting FER data from head-…
FairGen: Preference-Aligned Diffusion for Demographically Equitable Medical Image Synthesis
Zhimin Li, Ruichen Zhang, Zhen Tan +3
Medical imaging is central to modern diagnostics, and artificial intelligence (AI) systems are increasingly used to support image-based analysis by improving efficiency, accuracy,…
GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs
Jianing Deng, Song Wang, Dongwei Wang +4
Mixture-of-Experts Large Language Models (MoE-LLMs) achieve strong performance but incur substantial memory overhead due to massive expert parameters. Mixed-precision quantization…
Dynamic Mixed-Precision Routing for Efficient Multi-step LLM Interaction
Yuanzhe Li, Jianing Deng, Jingtong Hu +3
Large language models (LLMs) achieve strong performance in long-horizon decision-making tasks through multi-step interaction and reasoning at test time. While practitioners commonl…
Two-Stage Voting for Robust and Efficient Suicide Risk Detection on Social Media
Yukai Song, Pengfei Zhou, César Escobar-Viera +3
Suicide rates have risen worldwide in recent years, underscoring the urgent need for proactive prevention strategies. Social media provides valuable signals, as many at-risk indivi…
FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference
Dongwei Wang, Zijie Liu, Song Wang +5
The Key-Value (KV) cache reading latency increases significantly with context lengths, hindering the efficiency of long-context LLM inference. To address this, previous works propo…
EmpathyAgent: Can Embodied Agents Conduct Empathetic Actions?
Xinyan Chen, Jiaxin Ge, Hongming Dai +6
Empathy is fundamental to human interactions, yet it remains unclear whether embodied agents can provide human-like empathetic support. Existing works have studied agents' tasks so…
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
Pan Wang, Qiang Zhou, Yawen Wu +2
Multimodal Sentiment Analysis (MSA) leverages heterogeneous modalities, such as language, vision, and audio, to enhance the understanding of human sentiment. While existing models…
FairSkin: Fair Diffusion for Skin Disease Image Generation
Ruichen Zhang, Yuguang Yao, Zhen Tan +6
Image generation is a prevailing technique for clinical data augmentation for advancing diagnostic accuracy and reducing healthcare disparities. Diffusion Model (DM) has become a l…
A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models
Rui Ma, Qiang Zhou, Yizhu Jin +11
Copyright law confers upon creators the exclusive rights to reproduce, distribute, and monetize their creative works. However, recent progress in text-to-image generation has intro…