activity
20172026
most citedDeep Learning for Sensor-based Activity Recognition: A Survey

2k citations · 6k across the 161 of their papers we have counts for

collaborators

167 papers

cs.LG2026

The Physics Is the Network: Fast, Training-Free Neural Emulation

Luka Todorovic, Kaushal Gianchandani, Sai Ravela

Neural emulation need not require learning a substitute for known physics. We investigate PolyNets that couple a continuous-time neural representation of polynomial dynamics with a…

cs.SD2026

Teffic-Audio: Tell Fact from Fiction

Wan Lin, Li Wang, Jindong Wang +2

Speech deepfake detection has expanded in scope with increasingly heterogeneous spoofing mechanisms, including speech synthesis, voice conversion, vocoder reconstruction, and neura…

cs.CY2026

AI-AI co-creation outperforms human pairs in creative tasks

Yingyue Luna Luan, Luning Sun, Yeun Joon Kim +2

Prior research often finds that AI creativity is limited: single systems rarely outperform humans, and human-AI collaboration does not exceed human output. We argue these conclusio…

cs.CV2026

Fast Enough to Act: Spatio-Temporal Visual Token Merging for Low-Latency Robotic VLMs and VLAs

Junzhou Chen, Jindong Wang, Gang Zhou

Vision-language models and vision-language action models endow the robot with unprecedented capabilities. However, the input of video and high-resolution images yields a massive nu…

cs.CL2026

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models

Yiqiao Jin, Yiyang Wang, Lucheng Fu +7

Self-distillation (SD) offers a promising path for adapting large language models (LLMs) without relying on stronger external teachers. However, SD in autoregressive LLMs remains c…

cs.AI2026

TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training

Yinyi Luo, Wenwen Wang, Hayes Bai +6

Recent advances in unified multimodal models (UMMs) have led to a proliferation of architectures capable of understanding, generating, and editing across visual and textual modalit…