2 citations · 4 across the 6 of their papers we have counts for
6 papers
Channel-Wise Mixed-Precision Quantization for Large Language Models
Zihan Chen, Bike Xie, Jundong Li +1
Large Language Models (LLMs) have demonstrated remarkable success across a wide range of language tasks, but their deployment on edge devices remains challenging due to the substan…
Automatic Sparse Connectivity Learning for Neural Networks
Zhimin Tang, Linkai Luo, Bike Xie +4
Since sparse neural networks usually contain many zero weights, these unnecessary network connections can potentially be eliminated without degrading network performance. Therefore…
Designing Nonlinear Turbo Codes with a Target Ones Density
Jiadong Wang, Thomas Courtade, Tsung-Yi Chen +2
Certain binary asymmetric channels, such as Z-channels in which one of the two crossover probabilities is zero, demand optimal ones densities different from 50%. Some broadcast cha…
Analytical Framework for Optimizing Weighted Average Download Time in Peer-to-Peer Networks
Bike Xie, Mihaela van der Schaar, Richard D. Wesel
This paper proposes an analytical framework for peer-to-peer (P2P) networks and introduces schemes for building P2P networks to approach the minimum weighted average download time…
Optimal Encoding Schemes for Several Classes of Discrete Degraded Broadcast Channels
Bike Xie, Thomas Courtade, Richard D. Wesel
Consider a memoryless degraded broadcast channel (DBC) in which the channel output is a single-letter function of the channel input and the channel noise. As examples, for the Gaus…
Optimal Transmission Strategy and Explicit Capacity Region for Broadcast Z Channels
Bike Xie, Miguel Griot, Andres I. Vila Casado +1
This paper provides an explicit expression for the capacity region of the two-user broadcast Z channel and proves that the optimal boundary can be achieved by independent encoding…