activity
20172020
most citedPT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems

6 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.MA2020

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences

Ziyu Chen, Wenxin Zhang, Yanchen Deng +2

MB-DPOP is an important complete algorithm for solving Distributed Constraint Optimization Problems (DCOPs) by exploiting a cycle-cut idea to implement memory-bounded inference. Ho…

cs.MA20194 cited

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference

Dingding Chen, Yanchen Deng, Ziyu Chen +2

Search and inference are two main strategies for optimally solving Distributed Constraint Optimization Problems (DCOPs). Recently, several algorithms were proposed to combine their…

cs.MA2019

A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique

Ziyu Chen, Xingqiong Jiang, Yanchen Deng +2

Belief propagation approaches, such as Max-Sum and its variants, are a kind of important methods to solve large-scale Distributed Constraint Optimization Problems (DCOPs). However,…

cs.MA20193 cited

AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems

Yanchen Deng, Ziyu Chen, Dingding Chen +2

Asymmetric distributed constraint optimization problems (ADCOPs) are an emerging model for coordinating agents with personal preferences. However, the existing inference-based comp…

cs.MA20196 cited

PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems

Yanchen Deng, Ziyu Chen, Dingding Chen +2

Asymmetric Distributed Constraint Optimization Problems (ADCOPs) have emerged as an important formalism in multi-agent community due to their ability to capture personal preference…

cs.CV2017

FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection

Zexun Zhou, Zhongshi He, Ziyu Chen +4

Because of affected by weather conditions, camera pose and range, etc. Objects are usually small, blur, occluded and diverse pose in the images gathered from outdoor surveillance c…