15 citations · 43 across the 10 of their papers we have counts for
10 papers
Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization
Shixuan Liu, Yanghe Feng, Keyu Wu +3
In many domains of empirical sciences, discovering the causal structure within variables remains an indispensable task. Recently, to tackle with unoriented edges or latent assumpti…
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Qi Wang, Yiqin Lv, Yanghe Feng +2
Meta learning is a promising paradigm to enable skill transfer across tasks. Most previous methods employ the empirical risk minimization principle in optimization. However, the re…
Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI
Qi Wang, Yanghe Feng, Jincai Huang +3
The concept of GenAI has been developed for decades. Until recently, it has impressed us with substantial breakthroughs in natural language processing and computer vision, actively…
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
Zhengrui Ma, Chenze Shao, Shangtong Gui +2
Non-autoregressive translation (NAT) reduces the decoding latency but suffers from performance degradation due to the multi-modality problem. Recently, the structure of directed ac…
PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay
Xingxing Liang, Yang Ma, Yanghe Feng +1
On-policy deep reinforcement learning algorithms have low data utilization and require significant experience for policy improvement. This paper proposes a proximal policy optimiza…
HpGAN: Sequence Search with Generative Adversarial Networks
Mingxing Zhang, Zhengchun Zhou, Lanping Li +3
Sequences play an important role in many engineering applications and systems. Searching sequences with desired properties has long been an interesting but also challenging researc…
MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches
Jian Wen, Xuebo Zhang, Qingchen Bi +4
Local planning is one of the key technologies for mobile robots to achieve full autonomy and has been widely investigated. To evaluate mobile robot local planning approaches in a u…
Asymptotically Optimal and Near-optimal Aperiodic Quasi-Complementary Sequence Sets Based on Florentine Rectangles
Avik Ranjan Adhikary, Yanghe Feng, Zhengchun Zhou +1
Quasi-complementary sequence sets (QCSSs) can be seen as a generalized version of complete complementary codes (CCCs), which enables multicarrier communication systems to support m…
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
Guangyin Jin, Zhexu Xi, Hengyu Sha +2
Urban ride-hailing demand prediction is a crucial but challenging task for intelligent transportation system construction. Predictable ride-hailing demand can facilitate more reaso…
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
Xingxing Liang, Qi Wang, Yanghe Feng +2
Recent breakthroughs in Go play and strategic games have witnessed the great potential of reinforcement learning in intelligently scheduling in uncertain environment, but some bott…