6 papers
Human Demonstrations as Post-Training Data for Any Robot Body: Retargeting the Object, Not the Hand
Nagasrikanth Kallakuri
Human demonstrations are today used largely for pretraining vision-language-action models, with little ability to use the same data for target-embodiment or task-oriented training,…
HeadWiseKV: Budgeted Per-Head Cache Residency for Hybrid Long-Context Language Models
Renjie Xie, Juncheng Yang, Aoting Hu +4
Long-context inference retains a growing key--value (KV) cache during decoding, which consumes substantial GPU memory and can reduce generation throughput. This bottleneck remains…
Rapid LoRA Aggregation for Wireless Channel Adaptation in Open-Set Radio Frequency Fingerprinting
Mingxi Zhang, Renjie Xie, Jincheng Wang +2
Radio frequency fingerprints (RFFs) enable secure wireless authentication but struggle in open-set scenarios with unknown devices and varying channels. Existing methods face challe…
Channel-Aware Deep Learning for Superimposed Pilot Power Allocation and Receiver Design
Run Gu, Renjie Xie, Wei Xu +2
Superimposed pilot (SIP) schemes face significant challenges in effectively superimposing and separating pilot and data signals, especially in multiuser mobility scenarios with rap…
Deep CSI Compression for Dual-Polarized Massive MIMO Channels with Disentangled Representation Learning
Suhang Fan, Wei Xu, Renjie Xie +3
Channel state information (CSI) feedback is critical for achieving the promised advantages of enhancing spectral and energy efficiencies in massive multiple-input multiple-output (…
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints
Aoting Hu, Zhigang Lu, Renjie Xie +1
Deploying Machine Learning as a Service gives rise to model plagiarism, leading to copyright infringement. Ownership testing techniques are designed to identify model fingerprints…