222 citations · 841 across the 78 of their papers we have counts for
10 papers · 1 filter
Adam: A Stochastic Method with Adaptive Variance Reduction
Mingrui Liu, Wei Zhang, Francesco Orabona +1
Adam is a widely used stochastic optimization method for deep learning applications. While practitioners prefer Adam because it requires less parameter tuning, its use is problemat…
Knowledge Association with Hyperbolic Knowledge Graph Embeddings
Zequn Sun, Muhao Chen, Wei Hu +3
Capturing associations for knowledge graphs (KGs) through entity alignment, entity type inference and other related tasks benefits NLP applications with comprehensive knowledge rep…
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach
Wei Zhang, Ning Liu, Yunfeng Zhang
Deep reinforcement learning (DRL) demonstrates great potential in mapless navigation domain. However, such a navigation model is normally restricted to a fixed configuration of the…
Moment-Based Ensemble Control
Vignesh Narayanan, Wei Zhang, Jr-Shin Li
Controlling a large population, in the limit, a continuum, of structurally identical dynamical systems with parametric variations is a pervasive task in diverse applications in sci…
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes
Weidong Zhang, Wei Zhang, Yinda Zhang
The task of room layout estimation is to locate the wall-floor, wall-ceiling, and wall-wall boundaries. Most recent methods solve this problem based on edge/keypoint detection or s…
PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly
Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang +1
Spurred by widening gap between data processing speed and data communication speed in Von-Neumann computing architectures, some bioinformatic applications have harnessed the comput…
Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller
Guillermo A. Castillo, Bowen Weng, Terrence C. Stewart +2
This paper presents a neural-network based adaptive feedback control structure to regulate the velocity of 3D bipedal robots under dynamics uncertainties. Existing Hybrid Zero Dyna…
Momentum Q-learning with Finite-Sample Convergence Guarantee
Bowen Weng, Huaqing Xiong, Lin Zhao +2
Existing studies indicate that momentum ideas in conventional optimization can be used to improve the performance of Q-learning algorithms. However, the finite-sample analysis for…
Multiple projection MCMC algorithms on submanifolds
Tony Lelièvre, Gabriel Stoltz, Wei Zhang
We propose new Markov Chain Monte Carlo algorithms to sample probability distributions on submanifolds, which generalize previous methods by allowing the use of set-valued maps in…
How Does BN Increase Collapsed Neural Network Filters?
Sheng Zhou, Xinjiang Wang, Ping Luo +3
Improving sparsity of deep neural networks (DNNs) is essential for network compression and has drawn much attention. In this work, we disclose a harmful sparsifying process called…