1 citations · 1 across the 6 of their papers we have counts for
9 papers
Audio Token Attention Is Predictable Before the Language Model Runs
Kyoungjun Park, Yunzhe Li, Lili Qiu
A large audio language model (LALM) turns a minute of speech into 750-1,500 tokens and prefills every one. Image-token pruning often cuts after the language model's first layers, w…
ASD: Accelerating On-Demand Audio Understanding on Mobile Devices
Yunzhe Li, Kyoungjun Park, Hongzi Zhu +1
Speculative decoding accelerates autoregressive generation by using a smaller drafter to propose tokens for batched verification by a larger target. However, conventional speculati…
MERGED: Multimodal Entity Resolution via Generated Expert Reasoning Distillation
You-Lin Chen, Kyoungjun Park, Bin Xu +3
In product entity resolution, relationship definitions constantly evolve with business needs, yet adapting to each change traditionally requires slow, costly human annotation that…
Diffusion^2: Turning 3D Environments into Radio Frequency Heatmaps
Kyoungjun Park, Yifan Yang, Changhan Ge +2
Modeling radio frequency (RF) signal propagation is essential for understanding the environment, as RF signals offer valuable insights beyond the capabilities of RGB cameras, which…
VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Kyoungjun Park, Yifan Yang, Juheon Yi +6
The rapid proliferation of AI-generated video necessitates robust detection tools that offer both high accuracy and human-interpretable explanations. While existing MLLM-based dete…
Joint Optimization of Handoff and Video Rate in LEO Satellite Networks
Kyoungjun Park, Zhiyuan He, Cheng Luo +4
Low Earth Orbit (LEO) satellite communication is a promising approach to providing Internet connectivity to users in many remote areas. As videos are likely to account for most tra…
Real-Time Neural Video Recovery and Enhancement on Mobile Devices
Zhaoyuan He, Yifan Yang, Lili Qiu +1
As mobile devices become increasingly popular for video streaming, it's crucial to optimize the streaming experience for these devices. Although deep learning-based video enhanceme…
NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming
Kyoungjun Park, Myungchul Kim, Laihyuk Park
Video streaming services strive to support high-quality videos at higher resolutions and frame rates to improve the quality of experience (QoE). However, high-quality videos consum…
EVSO: Environment-aware Video Streaming Optimization of Power Consumption
Kyoungjun Park, Myungchul Kim
Streaming services gradually support high-quality videos for better user experience. However, streaming high-quality video on mobile devices consumes a considerable amount of energ…