activity
20242026
most citedVec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices

1 citations · 1 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies

Bingjia Huang, Xiangyu Li, Xiang Wang +7

Generative robot policies fail unpredictably at deployment: they hesitate at critical moments, drift off-task, or commit to unrecoverable actions. Existing online failure detectors…

eess.AS2026

Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding

Zhiyuan Zhu, Yixuan Chen, Yiwen Shao +13

Recent multimodal large language models mainly process audio as monaural signals, thereby discarding the spatial cues contained in spatial audio for sound localization, spatial rel…

cs.DC2026

Unfolding an Atomistic World: Atomistic Simulation of Reactor Pressure Vessel Steel Across Year-and-Meter Scales

Haozhi Han, Ruge Zhang, Haoquan Chen +8

Lifetime prediction of reactor pressure vessel (RPV) steel requires bridging atomistic degradation mechanisms with service-scale spatial and temporal regimes, from Angstroms and pi…

cs.CV2026

Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding

Yikai Zheng, Xin Ding, Yifan Yang +6

Recent advances in Streaming Video Understanding has enabled a new interaction paradigm where models respond proactively to user queries. Current proactive VideoLLMs rely on per-fr…

cs.DC2026

Efficient Remote KV Cache Reuse with GPU-native Video Codec

Liang Mi, Weijun Wang, Jinghan Chen +3

Remote KV cache reuse fetches KV cache for identical contexts from remote storage, avoiding recomputation, accelerating LLM inference. While it excels in high-speed networks, its p…

cs.DC2025★ 1 cited

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices

Xiangyu Li, Chengyu Yin, Weijun Wang +3

Large language models (LLMs) are increasingly deployed on edge devices. To meet strict resource constraints, real-world deployment has pushed LLM quantization from 8-bit to 4-bit,…

cs.RO2025

AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation

Xin Ding, Jianyu Wei, Yifan Yang +10

Vision Language Navigation (VLN) requires agents to follow natural language instructions by grounding them in sequential visual observations over long horizons. Explicit reasoning…

cs.CV2025

Selective Structured State Space for Multispectral-fused Small Target Detection

Qianqian Zhang, WeiJun Wang, Yunxing Liu +4

Target detection in high-resolution remote sensing imagery faces challenges due to the low recognition accuracy of small targets and high computational costs. The computational com…

cs.LG2025

Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash

Fucheng Jia, Zewen Wu, Shiqi Jiang +7

Large language models (LLMs) are increasingly being deployed on mobile devices, but the limited DRAM capacity constrains the deployable model size. This paper introduces ActiveFlow…

cs.CV2024

MobiFuse: A High-Precision On-device Depth Perception System with Multi-Data Fusion

Jinrui Zhang, Deyu Zhang, Tingting Long +6

We present MobiFuse, a high-precision depth perception system on mobile devices that combines dual RGB and Time-of-Flight (ToF) cameras. To achieve this, we leverage physical princ…