6 papers
OpenMic: A Multi-Agent-Based Stand-Up Comedy Generation System
Yuyang Wu, Hanzhong Cao, Jianhao Chen +1
Chinese stand-up comedy generation goes beyond plain text generation, requiring culturally grounded humor, precise timing, stage-performance cues, and implicit multi-step reasoning…
Repetitive Contrastive Learning Enhances Mamba's Selectivity in Time Series Prediction
Wenbo Yan, Hanzhong Cao, Ying Tan
Long sequence prediction is a key challenge in time series forecasting. While Mamba-based models have shown strong performance due to their sequence selection capabilities, they st…
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
Hanzhong Cao, Wenbo Yan, Ying Tan
Many methods aim to enhance time series forecasting by decomposing the series through intricate model structures and prior knowledge, yet they are inevitably limited by computation…
Light Aircraft Game : Basic Implementation and training results analysis
Hanzhong Cao
This paper investigates multi-agent reinforcement learning (MARL) in a partially observable, cooperative-competitive combat environment known as LAG. We describe the environment's…
Gradient Based Method for the Fusion of Lattice Quantizers
Liyuan Zhang, Hanzhong Cao, Jiaheng Li +1
In practical applications, lattice quantizers leverage discrete lattice points to approximate arbitrary points in the lattice. An effective lattice quantizer significantly enhances…
Unveiling the Era of Spatial Computing
Hanzhong Cao
The evolution of User Interfaces marks a significant transition from traditional command-line interfaces to more intuitive graphical and touch-based interfaces, largely driven by t…