168 citations · 523 across the 46 of their papers we have counts for
16 papers · 1 filter
Maxwell: a hardware and software highly integrated compute-storage system
ing Ma, Wei Zhou, Sihai Yao +4
The compute-storage framework is responsible for data storage and processing, and acts as the digital chassis of all upper-level businesses. The performance of the framework affect…
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
Wei Zhou, Dong Chen, Jun Yan +3
Autonomous driving has attracted significant research interests in the past two decades as it offers many potential benefits, including releasing drivers from exhausting driving an…
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers
Wei Zhou, Xin He, Wei Zhong +1
Directed acyclic graph (DAG) models are widely used to represent causal relationships among random variables in many application domains. This paper studies a special class of non-…
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce
Guohai Xu, Hehong Chen, Feng-Lin Li +6
Live streaming is becoming an increasingly popular trend of sales in E-commerce. The core of live-streaming sales is to encourage customers to purchase in an online broadcasting ro…
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
Xuming Lin, Shaobo Cui, Zhongzhou Zhao +3
Existing data-driven methods can well handle short text generation. However, when applied to the long-text generation scenarios such as story generation or advertising text generat…
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts
Shaobo Cui, Xintong Bao, Xuming Lin +4
Many generation tasks follow a one-to-many mapping relationship: each input could be associated with multiple outputs. Existing methods like Conditional Variational AutoEncoder(CVA…
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
Wei Zhou, Xin Cao, Xiaodan Zhang +3
The existing 3D deep learning methods adopt either individual point-based features or local-neighboring voxel-based features, and demonstrate great potential for processing 3D data…
Automatic Firmware Emulation through Invalidity-guided Knowledge Inference (Extended Version)
Wei Zhou, Le Guan, Peng Liu +1
Emulating firmware for microcontrollers is challenging due to the tight coupling between the hardware and firmware. This has greatly impeded the application of dynamic analysis too…
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
Lingwei Wei, Dou Hu, Wei Zhou +2
Detecting rumors on social media is a very critical task with significant implications to the economy, public health, etc. Previous works generally capture effective features from…
A Fixed Version of Quadratic Program in Gradient Episodic Memory
Wei Zhou, Yiying Li
Gradient Episodic Memory is indeed a novel method for continual learning, which solves new problems quickly without forgetting previously acquired knowledge. However, in the proces…
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
Dou Hu, Lingwei Wei, Wei Zhou +3
Session-based recommendation aims to predict user the next action based on historical behaviors in an anonymous session. For better recommendations, it is vital to capture user pre…
Lateral contact yields longitudinal cohesion in active undulatory systems
Wei Zhou, Jaquelin Dezha Peralta, Zhuonan Hao +1
Many animals and robots move using undulatory motion of their bodies. When in close proximity undulatory motion can lead to novel collective behaviors such as gait synchronization,…
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media
Chunyuan Yuan, Wanhui Qian, Qianwen Ma +2
The rapid development of social media changes the lifestyle of people and simultaneously provides an ideal place for publishing and disseminating rumors, which severely exacerbates…
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
Wei Zhou, Xin Cao, Xiaodan Zhang +3
We present a new convolutional neural network, called Multi Voxel-Point Neurons Convolution (MVPConv), for fast and accurate 3D deep learning. The previous works adopt either indiv…
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition
Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng +2
Subword units are commonly used for end-to-end automatic speech recognition (ASR), while a fully acoustic-oriented subword modeling approach is somewhat missing. We propose an acou…
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept
Wei Zhou, Albert Zeyer, André Merboldt +2
With the advent of direct models in automatic speech recognition (ASR), the formerly prevalent frame-wise acoustic modeling based on hidden Markov models (HMM) diversified into a n…