Publications (32)
Learning to Equalize: Data-Driven Frequency-Domain Signal Recovery in Molecular Communications
Cheng Xiang, Yu Huang, Miaowen Wen +2
In molecular communications (MC), inter-symbol interference (ISI) and noise are key factors that degrade communication reliability. Although time-domain equalization can effectivel…
R2: Heuristic Bug-Based Any-angle Path-Planning using Lazy Searches
Yan Kai Lai, Prahlad Vadakkepat, Abdullah Al Mamun +2
R2 is a novel online any-angle path planner that uses heuristic bug-based or ray casting approaches to find optimal paths in 2D maps with non-convex, polygonal obstacles. R2 is com…
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention
Jiahui Wang, Haiyue Zhu, Haoren Guo +3
This paper presents an effective few-shot point cloud semantic segmentation approach for real-world applications. Existing few-shot segmentation methods on point cloud heavily rely…
Optimal Control of Boolean Control Networks with Discounted Cost: An Efficient Approach based on Deterministic Markov Decision Process
Shuhua Gao, Cheng Xiang, Tong Heng Lee
This paper deals with the infinite-horizon optimal control problem for Boolean control networks (BCNs) with a discounted-cost criterion. This problem has been investigated in exist…
Dual AGNs on 100 kpc Scales from the Million Quasar Catalog
Zhuojun Deng, Cheng Xiang, Qihang Chen +3
Research on dual active galactic nuclei (AGNs) is crucial for understanding the coevolution of galaxies and supermassive black holes. However, the current number of dual AGNs remai…
Towards Generalized and Incremental Few-Shot Object Detection
Yiting Li, Haiyue Zhu, Jun Ma +4
Real-world object detection is highly desired to be equipped with the learning expandability that can enlarge its detection classes incrementally. Moreover, such learning from only…
Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach
Shuhua Gao, Changkai Sun, Cheng Xiang +2
This paper investigates the finite-horizon optimal control (FHOC) problem of Boolean control networks (BCNs) from a graph theory perspective. We first formulate two general problem…
Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization
Yunyi Zhao, Wei Zhang, Cheng Xiang +3
This paper introduces DiffCarl, a diffusion-modeled carbon- and risk-aware reinforcement learning algorithm for intelligent operation of multi-microgrid systems. With the growing i…
Bond-breaking Induced Lifshitz Transition in Robust Dirac Semimetal
Yiyuan Liu, Yu-Fei Liu, Xin Gui +7
Topological electrons in semimetals are usually vulnerable to chemical doping and environment change, which restricts their potential application in future electronic devices. In t…
Incremental Few-Shot Object Detection for Robotics
Yiting Li, Haiyue Zhu, Sichao Tian +6
Incremental few-shot learning is highly expected for practical robotics applications. On one hand, robot is desired to learn new tasks quickly and flexibly using only few annotated…
Silicon Nitride Microresonator Raman Lasers
Yi Zheng, Haoyang Tan, Andreas Jacobsen +6
Silicon nitride (SiN) has emerged as a promising platform for integrated nonlinear photonics because of its low propagation loss, wide transparency window, and CMOS compatibility.…
EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance
Jiahui Wang, Haiyue Zhu, Haoren Guo +3
Recent approaches for few-shot 3D point cloud semantic segmentation typically require a two-stage learning process, i.e., a pre-training stage followed by a few-shot training stage…
Search for Quasar Pairs with Astrometric Data. I. Method and Candidates
Qihang Chen, Liang Jing, Xingyu Zhu +5
Quasar pairs, a special subclass of galaxy pairs, are valuable in the investigation of quasar interaction, clustering, co-evolution between the two quasars' host galaxies, the grow…
Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles
Anli Lim, Bharath Ramesh, Yue Yang +3
This paper describes the development of a novel algorithm to tackle the problem of real-time video stabilization for unmanned aerial vehicles (UAVs). There are two main components…
A High-Performance Quasi-1D MoS Nanoribbon Photodetector
Ganesh Ghimire, Rajesh Kumar Ulaganathan, Agnes Tempez +11
Molybdenum disulfide (MoS) nanoribbons have attracted increased interest due to their properties which can be tailored by tuning their dimensions. Herein, we demonstrate the gr…
SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference
Jiahui Wang, Haiyue Zhu, Haoren Guo +3
Recent 6D pose estimation methods demonstrate notable performance but still face some practical limitations. For instance, many of them rely heavily on sensor depth, which may fail…
Infinite-Horizon Optimal Control of Switched Boolean Control Networks with Average Cost: An Efficient Graph-Theoretical Approach
Shuhua Gao, Changkai Sun, Cheng Xiang +2
This study investigates the infinite-horizon optimal control problem for switched Boolean control networks with an average-cost criterion. A primary challenge of this problem is th…
DART: Distribution Aware Retinal Transform for Event-based Cameras
Bharath Ramesh, Hong Yang, Garrick Orchard +3
We introduce a generic visual descriptor, termed as distribution aware retinal transform (DART), that encodes the structural context using log-polar grids for event cameras. The DA…
A deep Convolutional Neural Network for topology optimization with strong generalization ability
Yiquan Zhang, Bo Peng, Xiaoyi Zhou +2
This paper proposes a deep Convolutional Neural Network(CNN) with strong generalization ability for structural topology optimization. The architecture of the neural network is made…
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li, Haiyue Zhu, Xijia Feng +5
This work focuses on tackling the challenging but realistic visual task of Incremental Few-Shot Learning (IFSL), which requires a model to continually learn novel classes from only…
Evolving R2 to R2+: Optimal, Delayed Line-of-sight Vector-based Path Planning
Yan Kai Lai, Prahlad Vadakkepat, Cheng Xiang
A vector-based any-angle path planner, R2, is evolved in to R2+ in this paper. By delaying line-of-sight, R2 and R2+ search times are largely unaffected by the distance between the…
Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
Yunyi Zhao, Zhang Wei, Qingyu Yan +3
Battery health monitoring and prediction are critically important in the era of electric mobility with a huge impact on safety, sustainability, and economic aspects. Existing resea…
BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling
Yunyi Zhao, Wei Zhang, Erhai Hu +4
Battery recycling is a critical process for minimizing environmental harm and resource waste for used batteries. However, it is challenging, largely because sorting batteries is co…
Giant and anisotropic many-body spin-orbit tunability in a strongly correlated kagome magnet
Jia-Xin Yin, Songtian S. Zhang, Hang Li +18
Owing to the unusual geometry of kagome lattices-lattices made of corner-sharing triangles-their electrons are useful for studying the physics of frustrated, correlated and topolog…
REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
Zheng Chu, Xiao Wang, Jack Hong +11
Large language models are transitioning from generalpurpose knowledge engines to realworld problem solvers, yet optimizing them for deep search tasks remains challenging. The centr…
Type-II Topological Dirac Semimetals: Theory and Materials Prediction (VAl3 family)
Tay-Rong Chang, Su-Yang Xu, Daniel S. Sanchez +13
The discoveries of Dirac and Weyl semimetal states in spin-orbit compounds led to the realizations of elementary particle analogs in table-top experiments. In this paper, we propos…
Enhanced and directional light emission from two-dimensional excitons using Mie voids
Avishek Sarbajna, Ganesh Ghimire, Ilia Breev +5
Controlling light emission at the nanoscale has important applications in solid-state lighting, displays, and quantum light sources. Achieving this control requires both enhanced l…
On Solar Photovoltaic Parameter Estimation: Global Optimality Analysis and a Simple Efficient Differential Evolution Method
Shuhua Gao, Yunyi Zhao, Cheng Xiang +3
A large variety of sophisticated metaheuristic methods have been proposed for photovoltaic parameter extraction. Our aim is not to develop another metaheuristic method but to inves…
GPS Denied IBVS-Based Navigation and Collision Avoidance of UAV Using a Low-Cost RGB Camera
Xiaoyu Wang, Yan Rui Tan, William Leong +3
This paper proposes an image-based visual servoing (IBVS) framework for UAV navigation and collision avoidance using only an RGB camera. While UAV navigation has been extensively s…
SAC-Loco: Safe and Adjustable Compliant Quadrupedal Locomotion
Aoqian Zhang, Zixuan Zhuang, Chunzheng Wang +3
Quadruped robots are designed to achieve agile and robust locomotion by drawing inspiration from legged animals. However, most existing control methods for quadruped robots lack a…
Fermi Level Depinning in Two-Dimensional Materials Using a Fluorinated Bilayer Graphene Barrier
Cunzhi Sun, Cheng Xiang, Rongdun Hong +4
Strong Fermi level pinning (FLP) - often attributed to metal-induced gap states at the interfacial contacts - severely reduces the tunability of the Schottky barrier height of the…
e-TLD: Event-based Framework for Dynamic Object Tracking
Bharath Ramesh, Shihao Zhang, Hong Yang +4
This paper presents a long-term object tracking framework with a moving event camera under general tracking conditions. A first of its kind for these revolutionary cameras, the tra…