222 citations · 841 across the 78 of their papers we have counts for
19 papers · 1 filter
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation
Shikuan Xie, Ran Song, Yuenan Zhao +3
In this paper, we present the Circular Accessible Depth (CAD), a robust traversability representation for an unmanned ground vehicle (UGV) to learn traversability in various scenar…
FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs
Linfeng Du, Tingyuan Liang, Sharad Sinha +2
Multi-die FPGAs are widely adopted to deploy large hardware accelerators. Two factors impede the performance optimization of HLS designs implemented on multi-die FPGAs. On the one…
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Zutao Jiang, Guansong Lu, Xiaodan Liang +4
Text-guided 3D object generation aims to generate 3D objects described by user-defined captions, which paves a flexible way to visualize what we imagined. Although some works have…
BCS-BEC crossover in a quasi-two-dimensional Fermi superfluid
Jing Zhou, Tingting Shi, Xia-Ji Liu +2
We study the crossover from the Bardeen-Cooper-Shrieffer (BCS) regime to the Bose-Einstein-condensation (BEC) regime in a quasi-two-dimensional quantum gas of ultracold fermionic a…
Phase transitions and topological properties of the 5/2 quantum Hall states with strong Landau-level mixing
Wenchen Luo, Wei Zhang, Yutao Hu +1
We numerically study a 5/2 fractional quantum Hall system with even number of electrons using the exact diagonalization where both the strong Landau level (LL) mixing and a finite…
Flow-Level Packet Loss Detection via Sketch Decomposition and Matrix Optimization
Zhenyu Ming, Wei Zhang, Yanwei Xu
For cloud service providers, fine-grained packet loss detection across data centers is crucial in improving their service level and increasing business income. However, the inabili…
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Lewei Yao, Jianhua Han, Youpeng Wen +6
Open-world object detection, as a more general and challenging goal, aims to recognize and localize objects described by arbitrary category names. The recent work GLIP formulates t…
ISTA-Inspired Network for Image Super-Resolution
Yuqing Liu, Wei Zhang, Weifeng Sun +3
Deep learning for image super-resolution (SR) has been investigated by numerous researchers in recent years. Most of the works concentrate on effective block designs and improve th…
AMF-Placer 2.0: Open Source Timing-driven Analytical Mixed-size Placer for Large-scale Heterogeneous FPGA
Tingyuan Liang, Gengjie Chen, Jieru Zhao +2
On modern field-programmable gate arrays (FPGAs), certain critical path portions of the designs might be prearranged into many multi-cell macros during synthesis. These movable mac…
On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness
Bowen Weng, Guillermo A. Castillo, Wei Zhang +1
This paper studies the class of scenario-based safety testing algorithms in the black-box safety testing configuration. For algorithms sharing the same state-action set coverage wi…
Robustness to Unbounded Smoothness of Generalized SignSGD
Michael Crawshaw, Mingrui Liu, Francesco Orabona +2
Traditional analyses in non-convex optimization typically rely on the smoothness assumption, namely requiring the gradients to be Lipschitz. However, recent evidence shows that thi…
Underwater Ranker: Learn Which Is Better and How to Be Better
Chunle Guo, Ruiqi Wu, Xin Jin +4
In this paper, we present a ranking-based underwater image quality assessment (UIQA) method, abbreviated as URanker. The URanker is built on the efficient conv-attentional image Tr…
DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain
Wei Zhang, Yu Bao
Deep Neural Networks (DNNs) have already become a crucial computational approach to revealing the spatial patterns in the human brain; however, there are three major shortcomings i…
SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer
Wei Zhang, Yu Bao
In this work, to efficiently help escape the stationary and saddle points, we propose, analyze, and generalize a stochastic strategy performed as an operator for a first-order grad…
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations
Na Liu, Mark Dras, Wei Emma Zhang
Although deep neural networks have achieved state-of-the-art performance in various machine learning tasks, adversarial examples, constructed by adding small non-random perturbatio…
On Safety Testing, Validation, and Characterization with Scenario-Sampling: A Case Study of Legged Robots
Bowen Weng, Guillermo A. Castillo, Wei Zhang +1
The dynamic response of the legged robot locomotion is non-Lipschitz and can be stochastic due to environmental uncertainties. To test, validate, and characterize the safety perfor…
Data-Efficient Backdoor Attacks
Pengfei Xia, Ziqiang Li, Wei Zhang +1
Recent studies have proven that deep neural networks are vulnerable to backdoor attacks. Specifically, by mixing a small number of poisoned samples into the training set, the behav…
Beam Training and Alignment for RIS-Assisted Millimeter Wave Systems:State of the Art and Beyond
Peilan Wang, Jun Fang, Weizheng Zhang +3
Reconfigurable intelligent surface (RIS) has recently emerged as a promising paradigm for future cellular networks. Specifically, due to its capability in reshaping the propagation…
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
Jiaxi Gu, Xiaojun Meng, Guansong Lu +9
Vision-Language Pre-training (VLP) models have shown remarkable performance on various downstream tasks. Their success heavily relies on the scale of pre-trained cross-modal datase…