4 citations · 6 across the 9 of their papers we have counts for
10 papers
FlowMAS: Learning Multi-Agent Workflow Topology via Information-guided Generative Flow Network
Haitao Wang, Chenjing Liang, Haipeng Zhang +6
Automated multi-agent systems offer clear advantages over manually designed ones in scalability and adaptability, but existing workflow topology methods still face important limita…
Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection
Haotian Mo, Jie Liu, Siqi Shen +8
Audio deepfake detectors often degrade when generators, corpora, or recording conditions change. We use a Diffusion Transformer (DiT), trained only on bona fide speech, as a frozen…
MAGE: Multi-scale Autoregressive Generation for Offline Reinforcement Learning
Chenxing Lin, Xinhui Gao, Haipeng Zhang +7
Generative models have gained significant traction in offline reinforcement learning (RL) due to their ability to model complex trajectory distributions. However, existing generati…
Measuring the Unspoken: A Disentanglement Model and Benchmark for Psychological Analysis in the Wild
Yigui Feng, Qinglin Wang, Haotian Mo +7
Generative psychological analysis of in-the-wild conversations faces two fundamental challenges: (1) existing Vision-Language Models (VLMs) fail to resolve Articulatory-Affective A…
PlanU: Large Language Model Reasoning through Planning under Uncertainty
Ziwei Deng, Mian Deng, Chenjing Liang +7
Large Language Models (LLMs) are increasingly being explored across a range of reasoning tasks. However, LLMs sometimes struggle with reasoning tasks under uncertainty that are rel…
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference
Libo Zhang, Zhaoning Zhang, Baizhou Xu +4
With the continuous advancement in the performance of large language models (LLMs), their demand for computational resources and memory has significantly increased, which poses maj…
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen, Chennan Ma, Chao Li +5
Multi-agent systems are characterized by environmental uncertainty, varying policies of agents, and partial observability, which result in significant risks. In the context of Mult…
Optimizing Irregular-Shaped Matrix-Matrix Multiplication on Multi-Core DSPs
Shangfei Yin, Qinglin Wang, Ruochen Hao +3
General Matrix Multiplication (GEMM) has a wide range of applications in scientific simulation and artificial intelligence. Although traditional libraries can achieve high performa…
Towards Effective Depthwise Convolutions on ARMv8 Architecture
Ruochen Hao, Qinglin Wang, Shangfei Yin +4
Depthwise convolutions are widely used in lightweight convolutional neural networks (CNNs). The performance of depthwise convolutions is mainly bounded by the memory access rather…
NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs
Xiandong Huang, Qinglin Wang, Shuyu Lu +3
Convolutional Neural Networks (CNNs), one of the most representative algorithms of deep learning, are widely used in various artificial intelligence applications. Convolution opera…