Publications (41)
Implementation of annihilation and junction reactions in vector density-based continuum dislocation dynamics
Peng Lin, Anter El-Azab
In a continuum dislocation dynamics formulation by Xia and El-Azab, dislocations are represented by a set of vector density fields, one per crystallographic slip systems. The space…
Distributed Adaptive Gradient Optimization Algorithm
Peng Lin, Wei Ren
In this paper, a distributed optimization problem with general differentiable convex objective functions is studied for single-integrator and double-integrator multi-agent systems.…
Echo state graph neural networks with analogue random resistor arrays
Shaocong Wang, Yi Li, Dingchen Wang +13
Recent years have witnessed an unprecedented surge of interest, from social networks to drug discovery, in learning representations of graph-structured data. However, graph neural…
A First Experiment at Interfacing Crystal Plasticity and Continuum Dislocation Dynamics
Khaled SharafEldin, Peng Lin, Vignesh Vivekanandan +3
A computational approach has been developed for the analysis of the properties of 3D dislocation substructures generated by the vector density continuum dislocation dynamics (CDD),…
New Characterizations and Efficient Local Search for General Integer Linear Programming
Peng Lin, Shaowei Cai, Mengchuan Zou +1
Integer linear programming (ILP) models a wide range of practical combinatorial optimization problems and significantly impacts industry and management sectors. This work proposes…
Random resistive memory-based deep extreme point learning machine for unified visual processing
Shaocong Wang, Yizhao Gao, Yi Li +21
Visual sensors, including 3D LiDAR, neuromorphic DVS sensors, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. Realizing intensive m…
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…
Distributed optimization with nonconvex velocity constraints, nonuniform position constraints and nonuniform stepsizes
Peng Lin, Wei Ren, Chunhua Yang +1
This note is devoted to the distributed optimization problem of multi-agent systems with nonconvex velocity constraints, nonuniform position constraints and nonuniform stepsizes. T…
Real-time optimal delay minimization algorithms for aircraft on a same runway and dual runways
Peng Lin, Haopeng Yang
In this paper, scheduling problems of aircraft minimizing the total delays on a same runway and on dual runways are studied. In contrast to the algorithms based on mixed-integer op…
Dynamic neural network with memristive CIM and CAM for 2D and 3D vision
Yue Zhang, Woyu Zhang, Shaocong Wang +14
The brain is dynamic, associative and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are stati…
Resistive memory-based zero-shot liquid state machine for multimodal event data learning
Ning Lin, Shaocong Wang, Yi Li +19
The human brain is a complex spiking neural network (SNN), capable of learning multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, it maintains…
Performing Bayesian Risk Aggregation using Discrete Approximation Algorithms with Graph Factorization
Peng Lin
Risk aggregation is a popular method used to estimate the sum of a collection of financial assets or events, where each asset or event is modelled as a random variable. Application…
Long short-term memory networks in memristor crossbars
Can Li, Zhongrui Wang, Mingyi Rao +14
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence. State-of-the-art LSTM models w…
Pruning random resistive memory for optimizing analogue AI
Yi Li, Songqi Wang, Yaping Zhao +17
The rapid advancement of artificial intelligence (AI) has been marked by the large language models exhibiting human-like intelligence. However, these models also present unpreceden…
Distributed velocity-constrained consensus of discrete-time multi-agent systems with nonconvex constraints, switching topologies, and delays
Peng Lin, Wei Ren, Huijun Gao
In this paper, a distributed velocity-constrained consensus problem is studied for discrete-time multi-agent systems, where each agent's velocity is constrained to lie in a nonconv…
Auto-Prompt Ensemble for LLM Judge
Jiajie Li, Huayi Zhang, Peng Lin +2
We present a novel framework that improves the reliability of LLM judges by selectively augmenting LLM with auxiliary evaluation dimensions. Existing LLM judges often miss crucial…
Fully Integrated Memristive Spiking Neural Network with Analog Neurons for High-Speed Event-Based Data Processing
Zhu Wang, Song Wang, Zhiyuan Du +5
The demand for edge artificial intelligence to process event-based, complex data calls for hardware beyond conventional digital, von-Neumann architectures. Neuromorphic computing,…
Incorporating point defect generation due to jog formation into the vector density-based continuum dislocation dynamics approach
Peng Lin, Vignesh Vivekanandan, Benjamin Anglin +2
During plastic deformation of crystalline materials, point defects such as vacancies and interstitials are generated by jogs on moving dislocations. A detailed model for jog format…
Roadmap for Unconventional Computing with Nanotechnology
Giovanni Finocchio, Jean Anne C. Incorvia, Joseph S. Friedman +48
In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same ti…
LBL: Logarithmic Barrier Loss Function for One-class Classification
Ziyang Jiang, Peng Lin, Tianlei Wang
One-class classification (OCC) aims to train a classifier only with the target class data and attracts great attention for its strong applicability in real-world application. Despi…
MMRM: A Multiplex Multimodal Representation Model for Product Ranking in E-commerce Search
Zhen-Lin Chen, Maosen Sheng, Peng Lin +4
The paper introduces MMRM, a framework that jointly fine‑tunes multimodal large language models with multiple collaborative signals and creates multiplex item and user representati…
Simultaneous Super-Resolution of Spatial and Spectral Imaging with a Camera Array and Notch Filters
Peng Lin, Xuesong Wang, Yating Chen +3
This study proposes an algorithm based on a notch filter camera array system for simultaneous super-resolution imaging and spectral reconstruction, enhancing the spatial resolution…
Scheduling problems of aircraft on a same runway and dual runways
Peng Lin, Haopeng Yang, Gui Gui +2
In this paper, the scheduling problems of landing and takeoff aircraft on a same runway and on dual runways are addressed. In contrast to the approaches based on mixed-integer opti…
Region Based Approximation for High Dimensional Bayesian Network Models
Peng Lin, Martin Neil, Norman Fenton
Performing efficient inference on Bayesian Networks (BNs), with large numbers of densely connected variables is challenging. With exact inference methods, such as the Junction Tree…
FlexAuc: Serving Dynamic Demands in a Spectrum Trading Market with Flexible Auction
Xiaojun Feng, Peng Lin, Qian Zhang
In secondary spectrum trading markets, auctions are widely used by spectrum holders (SHs) to redistribute their unused channels to secondary wireless service providers (WSPs). As s…
Local Search for Integer Quadratic Programming
Xiang He, Peng Lin, Shaowei Cai
Integer Quadratic Programming (IQP) is an important problem in operations research. Local search is a powerful method for solving hard problems, but the research on local search al…
On the computational solution of vector-density based continuum dislocation dynamics models: a comparison of two plastic distortion and stress update algorithms
Peng Lin, Vignesh Vivekanandan, Kyle Starkey +3
Continuum dislocation dynamics models of mesoscale plasticity consist of dislocation transport-reaction equations coupled with crystal mechanics equations. The coupling between the…
Discrete Element Crowd Model for Pedestrian Evacuation Through an Exit
Peng Lin, Jian Ma, Siuming Lo
A series of accidents caused by crowd within the last decades evoked a lot of scientific interest in modeling the movement of pedestrian crowds. Based on discrete element method, a…
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models
Peng Lin, Martin Neil, Norman Fenton
Hybrid Bayesian networks (HBN) contain complex conditional probabilistic distributions (CPD) specified as partitioned expressions over discrete and continuous variables. The size o…
ParLS-PBO: A Parallel Local Search Solver for Pseudo Boolean Optimization
Zhihan Chen, Peng Lin, Hao Hu +1
As a broadly applied technique in numerous optimization problems, recently, local search has been employed to solve Pseudo-Boolean Optimization (PBO) problem. A representative loca…
Distributed Continuous-Time and Discrete-Time Optimization With Nonuniform Unbounded Convex Constraint Sets and Nonuniform Stepsizes
Peng Lin, Wei Ren, Chunhua Yang +1
This paper is devoted to distributed continuous-time and discrete-time optimization problems with nonuniform convex constraint sets and nonuniform stepsizes for general differentia…
On the implementation of dislocation reactions in continuum dislocation dynamics modeling of mesoscale plasticity
Vignesh Vivekanandan, Peng Lin, Grethe Winther +1
The continuum dislocation dynamics framework for mesoscale plasticity is intended to capture the dislocation density evolution and the deformation of crystals when subjected to mec…
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
Chong Fu, Xuhong Zhang, Shouling Ji +4
Trojan attack on deep neural networks, also known as backdoor attack, is a typical threat to artificial intelligence. A trojaned neural network behaves normally with clean inputs.…
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction
Yuanbo Gao, Peng Lin, Dongyue Wang +4
Click-through rate (CTR) prediction is a core task in recommender systems. Existing methods (IDRec for short) rely on unique identities to represent distinct users and items that h…
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
De Ma, Xiaofei Jin, Shichun Sun +8
Spiking Neural Networks (SNNs) are gaining increasing attention for their biological plausibility and potential for improved computational efficiency. To match the high spatial-tem…
A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing Mechanism
Zhiri Tang, Ruohua Zhu, Peng Lin +5
Memristive neural networks (MNNs), which use memristors as neurons or synapses, have become a hot research topic recently. However, most memristors are not compatible with mainstre…
G-Fuzz: A Directed Fuzzing Framework for gVisor
Yuwei Li, Yuan Chen, Shouling Ji +6
gVisor is a Google-published application-level kernel for containers. As gVisor is lightweight and has sound isolation, it has been widely used in many IT enterprises \cite{Stripe,…
Automatic Scene-based Topic Channel Construction System for E-Commerce
Peng Lin, Yanyan Zou, Lingfei Wu +3
Scene marketing that well demonstrates user interests within a certain scenario has proved effective for offline shopping. To conduct scene marketing for e-commerce platforms, this…
Multi-window SRS imaging using a rapid widely tunable fiber laser
Hongli Ni, Peng Lin, Yifan Zhu +4
Spectroscopic stimulated Raman scattering (SRS) imaging has become a useful tool finding a broad range of applications. Yet, wider adoption is hindered by the bulky and environment…
On-Demand Service Zone Design for Energy-Constrained Spatial Queueing Systems
Peng Lin, Cheng Hua, Wei Qi +1
Electric service vehicles (ESVs), such as mobile chargers and drone-based service units, are becoming an important operational resource for on-demand service systems. Unlike conven…
Infrared Polarization Imaging-based Non-destructive Thermography Inspection
Xianyu Wu, Bin Zhou, Peng Lin +2
Infrared pulse thermography non-destructive testing (NDT) method is developed based on the difference in the infrared radiation intensity emitted by defective and non-defective are…