Publications (82)
On the Choice of Loss Function in Learning-based Optimal Power Flow
Ge Chen, Junjie Qin
We analyze and contrast two ways to train machine learning models for solving AC optimal power flow (OPF) problems, distinguished with the loss functions used. The first trains a m…
Noise-driven Synchronization of Vicsek Model in Mean
Wei Su, Yongguang Yu, Ge Chen
The Vicsek model has long stood as a pivotal framework in exploring collective behavior and self-organization, captivating the scientific community with its compelling dynamics. Ho…
Structural Balance and Interpersonal Appraisals Dynamics: Beyond All-to-All and Two-Faction Networks
Wenjun Mei, Ge Chen, Noah E. Friedkin +1
Structural balance theory describes stable configurations of topologies of signed interpersonal appraisal networks. Existing models explaining the convergence of appraisal networks…
An Optimal Pricing Formula for Smart Grid based on Stackelberg Game
Jiangjiang Cheng, Ge Chen, Zhouming Wu +1
The dynamic pricing of electricity is one of the most crucial demand response (DR) strategies in smart grid, where the utility company typically adjust electricity prices to influe…
Learning Enhanced Resolution-wise features for Human Pose Estimation
Kun Zhang, Peng He, Ping Yao +6
Recently, multi-resolution networks (such as Hourglass, CPN, HRNet, etc.) have achieved significant performance on pose estimation by combining feature maps of various resolutions.…
Noise Leads to Quasi-Consensus of Hegselmann-Krause Opinion Dynamics
Wei Su, Ge Chen, Yiguang Hong
This paper aims at providing rigorous theoretical analysis to investigate the consensus behavior of opinion dynamics in noisy environments. It is known that the well-known Hegselma…
Exploring Task Unification in Graph Representation Learning via Generative Approach
Yulan Hu, Sheng Ouyang, Zhirui Yang +4
Graphs are ubiquitous in real-world scenarios and encompass a diverse range of tasks, from node-, edge-, and graph-level tasks to transfer learning. However, designing specific tas…
Flocking with General Local Interaction and Large Population
Ge Chen, Zhixin Liu
This paper studies a flocking model in which the interaction between agents is described by a general local nonlinear function depending on the distance between agents.
Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification
Ge Chen, Hongcai Zhang, Hongxun Hui +1
Heating, ventilation, and air-conditioning (HVAC) systems are ideal demand-side flexible resources to provide regulation services. However, finding the best hourly regulation capac…
Heterogeneous Hegselmann-Krause Dynamics with Environment and Communication Noise
Ge Chen, Wei Su, Songyuan Ding +1
The Hegselmann-Krause (HK) model is a wellknown opinion dynamics, attracting a significant amount of interest from a number of fields. However, the heterogeneous HK model is diffic…
Deep Synoptic Array Science: Polarimetry of 25 New Fast Radio Bursts Provides Insights into their Origins
Myles B. Sherman, Liam Connor, Vikram Ravi +20
We report on a full-polarization analysis of the first 25 as yet non-repeating FRBs detected at 1.4 GHz by the 110-antenna Deep Synoptic Array (DSA-110) during commissioning observ…
A comprehensive observational study of the FRB 121102 persistent radio source
Ge Chen, Vikram Ravi, Gregg W. Hallinan
FRB 121102 is the first fast radio burst source to be spatially associated with a persistent radio source (QRS121102), the nature of which remains unknown. We present a detailed ob…
Chance-constrained DC Optimal Power Flow with Non-Gaussian Distributed Uncertainties
Ge Chen, Hongcai Zhang, Yonghua Song
Chance-constrained programming (CCP) is a promising approach to handle uncertainties in optimal power flow (OPF). However, conventional CCP usually assumes that uncertainties follo…
Rethinking the Micro-Foundation of Opinion Dynamics: Rich Consequences of the Weighted-Median Mechanism
Wenjun Mei, Francesco Bullo, Ge Chen +2
To identify the main mechanisms underlying complex opinion formation processes in social systems, researchers have long been exploring simple mechanistic mathematical models. Most…
Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia
Ge Chen, Hongcai Zhang, Ningyi Dai +1
With the increasing integration of distributed PV generation, the distribution network requires more and more flexibility to achieve the security-constrained optimal power dispatch…
Towards Comprehensive Preference Data Collection for Reward Modeling
Yulan Hu, Qingyang Li, Sheng Ouyang +6
Reinforcement Learning from Human Feedback (RLHF) facilitates the alignment of large language models (LLMs) with human preferences, thereby enhancing the quality of responses gener…
Deep Synoptic Array science I: discovery of the host galaxy of FRB 20220912A
Vikram Ravi, Morgan Catha, Ge Chen +25
We report the detection and interferometric localization of the repeating fast radio burst (FRB) source FRB 20220912A during commissioning observations with the Deep Synoptic Array…
Convergence of the Heterogeneous Deffuant-Weisbuch Model: A Complete Proof and Some Extensions
Ge Chen, Wei Su, Wenjun Mei +1
The Deffuant-Weisbuch (DW) model is a well-known bounded-confidence opinion dynamics that has attracted wide interest. Although the heterogeneous DW model has been studied by simul…
An Improved Transit Measurement for a 2.4 R_{Earth} Planet Orbiting A Bright Mid-M Dwarf K228
Ge Chen, Heather A. Knutson, Courtney D. Dressing +13
We present a new {\em Spitzer} transit observation of K228b, a sub-Neptune () orbiting a relatively bright (, $K_{\rm mag…
Federated Aggregation of Demand Flexibility
Yifan Dong, Ge Chen, Junjie Qin
This paper proposes a federated framework for demand flexibility aggregation to support grid operations. Unlike existing geometric methods that rely on a static, pre-defined base s…
Production of doubly charmed hadron and in relativistic heavy ion collisions
Baoyi Chen, Meimei Yang, Ge Chen +2
Heavy ion collisions provide a unique opportunity for studying the properties of exotic hadrons with two charm quarks. The production of is significantly enhanced in nuc…
Convergence Analysis of Weighted-Median Opinion Dynamics with Prejudice
Ruichang Zhang, Zhixin Liu, Ge Chen +1
The Friedkin-Johnsen (FJ) model introduces prejudice into the opinion evolution and has been successfully validated in many practical scenarios; however, due to its weighted averag…
A Convexified Eulerian Framework for Scalable Coordination of Massive DER Populations
Ge Chen, Yiwei Qiu, Shiyao Zhang +3
This paper proposes a scalable coordination framework with aggregator-side privacy protection for storage-like distributed energy resources (DERs). The framework adopts a two-layer…
M Times Photon Subtraction-Addition Coherent Superposition Operated Odd-SchrÅdinger-cat State: Nonclassicality and Decoherence
Li Huang, Qin Guo, Li-ying Jiang +3
We introduce a new non-Gaussian state, generated by m times coherent superposition operation (MCSO) on odd-Schrodinger-cat state (OSCS). Its n…
Dynamic Social Balance and Convergent Appraisals via Homophily and Influence Mechanisms
Wenjun Mei, Pedro Cisneros-Velarde, Ge Chen +2
Social balance theory describes allowable and forbidden configurations of the topologies of signed directed social appraisal networks. In this paper, we propose two discrete-time d…
Linear Stochastic Approximation Algorithms and Group Consensus over Random Signed Networks: A Technical Report with All Proofs
Ge Chen, Xiaoming Duan, Wenjun Mei +1
This paper studies linear stochastic approximation (SA) algorithms and their application to multi-agent systems in engineering and sociology. As main contribution, we provide neces…
Private Markovian Equilibrium in Stackelberg Markov Games for Smart Grid Demand Response
Siying Huang, Yifen Mu, Ge Chen
The increasing integration of renewable energy introduces a great challenge to the supply and demand balance of the power grid. To address this challenge, this paper formulates a S…
The Role of Flexible Connection in Accelerating Load Interconnection in Distribution Networks
Nan Gu, Ge Chen, Junjie Qin
This paper investigates the role of flexible connection in accelerating the interconnection of large loads amid rising electricity demand from data centers and electrification. Fle…
Techno-Economic Analysis of Shared Mobile Storage for Demand Charge Reduction
B Hari Kiran Reddy, Ge Chen, Junjie Qin
This paper investigates the techno-economic viability of shared electric vehicle (EV) fleets for demand charge reduction under practical logistical and operational constraints. Unl…
A Provably Secure Network Protocol for Private Communication with Analysis and Tracing Resistance
Chao Ge, Wei Yuan, Ge Chen +2
Anonymous communication networks have emerged as crucial tools for obfuscating communication pathways and concealing user identities. However, their practical deployments face sign…
Decentralized MARL for Coarse Correlated Equilibrium in Aggregative Markov Games
Siying Huang, Yifen Mu, Ge Chen
This paper studies the problem of decentralized learning of Coarse Correlated Equilibrium (CCE) in aggregative Markov games (AMGs), where each agent's instantaneous reward depends…
Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
Mingyue Wang, Xingyu Xie, Hang Yang +5
Understanding how events evolve over time is essential for search engines handling queries about trending news. We present QDET (Query-Driven Event Timeline Summarization), a produ…
Deep Tensor Learning for Reliable Channel Charting from Incomplete and Noisy Measurements
Ge Chen, Panqi Chen, Lei Cheng
Channel charting has emerged as a powerful tool for user equipment localization and wireless environment sensing. Its efficacy lies in mapping high-dimensional channel data into lo…
AMAP Agentic Planning Technical Report
AMAP AI Agent Team, Yulan Hu, Xiangwen Zhang +22
We present STAgent, an agentic large language model tailored for spatio-temporal understanding, designed to solve complex tasks such as constrained point-of-interest discovery and…
Domain Adaptive SAR Wake Detection: Leveraging Similarity Filtering and Memory Guidance
He Gao, Baoxiang Huang, Milena Radenkovic +2
Synthetic Aperture Radar (SAR), with its all-weather and wide-area observation capabilities, serves as a crucial tool for wake detection. However, due to its complex imaging mechan…
SemaClaw: A Step Towards General-Purpose Personal AI Agents through Harness Engineering
Ningyan Zhu, Huacan Wang, Jie Zhou +8
The rise of OpenClaw in early 2026 marks the moment when millions of users began deploying personal AI agents into their daily lives, delegating tasks ranging from travel planning…
Noise-based control of opinion dynamics
Wei Su, Xianzhong Chen, Yongguang Yu +1
Designing feasible control strategies for opinion dynamics in complex social systems has never been an easy task. It requires a control protocol which 1) is not enforced on all ind…
Deep-quantile-regression-based surrogate model for joint chance-constrained optimal power flow with renewable generation
Ge Chen, Hongcai Zhang, Hongxun Hui +1
Joint chance-constrained optimal power flow (JCC-OPF) is a promising tool to manage uncertainties from distributed renewable generation. However, most existing works are based on p…
Convergence, Consensus and Dissensus in the Weighted-Median Opinion Dynamics
Wenjun Mei, Julien M. Hendrickx, Ge Chen +2
Mechanistic and tractable mathematical models play a key role in understanding how social influence shapes public opinions. Recently, a weighted-median mechanism has been proposed…
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
Ge Chen, Yulan Hu, Sheng Ouyang +2
Graph autoencoders (GAEs), as a kind of generative self-supervised learning approach, have shown great potential in recent years. GAEs typically rely on distance-based criteria, su…
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Yulan Hu, Sheng Ouyang, Jingyu Liu +6
Graph contrastive learning (GCL) has emerged as a representative graph self-supervised method, achieving significant success. The currently prevalent optimization objective for GCL…
Convergence Analysis and Strategy Control of Evolutionary Games with Imitation Rule on Toroidal Grid: A Full Version
Ge Chen, Yongyuan Yu
This paper investigates discrete-time evolutionary games with a general stochastic imitation rule on the toroidal grid, which is a grid network with periodic boundary conditions. T…
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach
Ge Chen, Hongcai Zhang, Hongxun Hui +1
The integration of distributed renewable generation (DRG) in distribution networks can be effectively promoted by scheduling flexible resources such as heating, ventilation, and ai…
Meritocracy versus Matthew-effect: Two underlying network formation mechanisms of online social platforms
Yuchen Xu, Wenjun Mei, Ge Chen +1
With the rapid development of the internet industry, online social networks have come to play an increasingly significant role in everyday life. In recent years, content-based emer…
Deep Synoptic Array science: A massive elliptical host among two galaxy-cluster fast radio bursts
Kritti Sharma, Jean Somalwar, Casey Law +20
The stellar population environments associated with fast radio burst (FRB) sources provide important insights for developing their progenitor theories. We expand the diversity of k…
Properties of Quasi-synchronization Time of High-dimensional Hegselmann-Krause Dynamics
Wei Su, Meiru Jiang, Yongguang Yu +1
The behavior of one-dimensional Hegselmann-Krause (HK) dynamics driven by noise has been extensively studied. Previous research has indicated that within no matter the bounded or t…
Noise-synchronizability of opinion dynamics
Wei Su, Ge Chen, Yongguang Yu +1
With the analysis of noise-induced synchronization of opinion dynamics with bounded confidence (BC), a natural and fundamental question is what opinion structures can be synchroniz…
Sema Code: Decoupling AI Coding Agents into Programmable, Embeddable Infrastructure
Huacan Wang, Jie Zhou, Ningyan Zhu +8
AI coding agents have become central to developer workflows, yet every existing solution locks its reasoning capabilities within a specific delivery form, such as a CLI, IDE plugin…
Novel Multi Agent Models for Chemical Self-assembly
Zheng Ning, Ge Chen, Francesco Bullo
The chemical self-assembly has been considered as one of most important scientific problems in the 21th Century; however, since the process of self-assembly is very complex, there…
The multiwavelength counterparts of fast radio bursts
Ge Chen, Vikram Ravi, Wenbin Lu
The engines that produce extragalactic fast radio bursts (FRBs), and the mechanism by which the emission is generated, remain unknown. Many FRB models predict prompt multi-waveleng…
Optimal Control for Unmanned Systems with One-way Broadcast Communication
Chao Ge, Ge Chen
Unmanned systems (USs) including unmanned aerial vehicles, unmanned underwater vehicles, and unmanned ground vehicles have great application prospects in military and civil fields,…
Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions
Jiangjiang Cheng, Ge Chen, Wenjun Mei +1
This paper introduces a heterogeneous multidimensional bounded confidence (BC) opinion dynamics with random pairwise interactions, whereby each pair of agents accesses each other's…
Superhorizon fluctuations and the cosmic dipole problem
Ge Chen, Chengcheng Han, Linwei Qiu
Recent observations have identified a significant 4.9 tension between the cosmic dipole inferred from galaxy number counts and that derived from the Cosmic Microwave Background…
Deep Synoptic Array science: Two fast radio burst sources in massive galaxy clusters
Liam Connor, Vikram Ravi, Morgan Catha +21
The hot gas that constitutes the intracluster medium (ICM) has been studied at X-ray and millimeter/sub-millimeter wavelengths (Sunyaev-Zeldovich effect) for decades. Fast radio bu…
Evolutionary Games on Networks: Phase Transition, Quasi-equilibrium, and Mathematical Principles
Jiangjiang Cheng, Wenjun Mei, Wei Su +1
The stable cooperation ratio of spatial evolutionary games has been widely studied using simulations or approximate analysis methods. However, sometimes such ``stable'' cooperation…
District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning
Peipei Yu, Hongxun Hui, Hongcai Zhang +2
Heating, ventilation, and air conditioning (HVAC) systems are well proved to be capable to provide operating reserve for power systems. As a type of large-capacity and energy-effic…
Bottomonium evolution with in-medium heavy quark potential from lattice QCD
Ge Chen, Baoyi Chen, Jiaxing Zhao
The static properties and dynamic evolution of bottomonium states in a hot QCD medium are investigated through the Schrödinger equation with complex heavy quark potentials, which…
Quasi-synchronization of bounded confidence opinion dynamics with stochastic asynchronous rule
Wei Su, Xueqiao Wang, Ge Chen +1
Recently the theory of noise-induced synchronization of Hegselmann-Krause (HK) dynamics has been well developed. As a typical opinion dynamics of bounded confidence, the HK model o…
Programmable Switch as a Parallel Computing Device
Li Chen, Ge Chen, Justinas Lingys +1
Modern switches have packet processing capacity of up to multi-tera bits per second, and they are also becoming more and more programmable. We seek to understand whether the progra…
Interaction-aware Factorization Machines for Recommender Systems
Fuxing Hong, Dongbo Huang, Ge Chen
Factorization Machine (FM) is a widely used supervised learning approach by effectively modeling of feature interactions. Despite the successful application of FM and its many deep…
Modeling, Analysis, and Control of Continuous-Time Weighted-Median Opinion Dynamics
Yi Han, Julien M. Hendrickx, Ge Chen +1
Simple yet predictive mathematical models are essential for mechanistic understanding of opinion evolution in social groups. The weighted-median mechanism has recently been propose…
A "Breathing" Mobile Communication Network
Chao Ge, Ge Chen, Zhipeng Jiang
The frequent migration of large-scale users leads to the load imbalance of mobile communication networks, which causes resource waste and decreases user experience. To address the…
Finite-Time Elimination of Disagreement of Opinion Dynamics via Covert Noise
Wei Su, Ge Chen, Yongguang Yu
Eliminating disagreement in a group is usually beneficial to the social stability. In this paper, using the well-known Hegselmann-Krause (HK) model, we design a quite simple strate…
NuSTAR observations of the young, energetic radio pulsar PSR B1509-58
Ge Chen, Hongjun An, Victoria M. Kaspi +3
We report on Nuclear Spectroscopic Telescope Array (NuSTAR) hard X-ray observations of the young rotation-powered radio pulsar PSR B150958 in the supernova remnant MSH 1552.…
Small noise may diversify collective motion in Vicsek model
Ge Chen
Natural systems are inextricably affected by noise. Within recent decades, the manner in which noise affects the collective behavior of self-organized systems, specifically, has ga…
Reconfiguring flexibility in renewable power-to-ammonia systems using molten-salt thermal energy storage in the ammonia synthesis loop: A coordinated electro-hydrogen-thermal scheduling approach
Yiwei Qiu, Qingjie Sun, Yangjun Zeng +7
In renewable power-to-ammonia (ReP2A) systems, the intermittency of wind and solar generation propagates through electrolytic hydrogen production and induces thermal instability in…
Robust Fragmentation Modeling of Hegselmann-Krause-Type Dynamics
Wei Su, Jin Guo, Xianzhong Chen +1
In opinion dynamics, how to model the enduring fragmentation phenomenon (disagreement, cleavage, and polarization) of social opinions has long possessed a central position. It is w…
Deep Synoptic Array Science: Implications of Faraday Rotation Measures of Localized Fast Radio Bursts
Myles B. Sherman, Liam Connor, Vikram Ravi +20
Faraday rotation measures (RMs) of fast radio bursts (FRBs) offer the prospect of directly measuring extragalactic magnetic fields. We present an analysis of the RMs of ten as yet…
Noise-induced synchronization of Hegselmann-Krause dynamics in full space
Wei Su, Jin Guo, Xianzhong Chen +1
The Hegselmann-Krause (HK) model is a typical self-organizing system with local rule dynamics. In spite of its widespread use and numerous extensions, the underlying theory of its…
Critical Connectivity and Fastest Convergence Rates of Distributed Consensus with Switching Topologies and Additive Noises
Ge Chen, Le Yi Wang, Chen Chen +1
Consensus conditions and convergence speeds are crucial for distributed consensus algorithms of networked systems. Based on a basic first-order average-consensus protocol with time…
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective
Sheng Ouyang, Yulan Hu, Ge Chen +3
Rewards serve as proxies for human preferences and play a crucial role in Reinforcement Learning from Human Feedback (RLHF). However, if these rewards are inherently imperfect, exh…
Efficient constraint learning for data-driven active distribution network operation
Ge Chen, Hongcai Zhang, Yonghua Song
Scheduling flexible sources to promote the integration of renewable generation is one fundamental problem for operating active distribution networks (ADNs). However, existing works…
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation
Kun Zhang, Rui Wu, Ping Yao +7
The target of 2D human pose estimation is to locate the keypoints of body parts from input 2D images. State-of-the-art methods for pose estimation usually construct pixel-wise heat…
Convergence Properties of the Heterogeneous Deffuant-Weisbuch Model
Ge Chen, Wei Su, Wenjun Mei +1
The Deffuant-Weisbuch (DW) model is a bounded-confidence opinion dynamics model that has attracted much recent interest. Despite its simplicity and appeal, the DW model has proved…
GUNDAM: Aligning Large Language Models with Graph Understanding
Sheng Ouyang, Yulan Hu, Ge Chen +1
Large Language Models (LLMs) have achieved impressive results in processing text data, which has sparked interest in applying these models beyond textual data, such as graphs. In t…
Neural Risk Limiting Dispatch in Power Networks: Formulation and Generalization Guarantees
Ge Chen, Junjie Qin
Risk limiting dispatch (RLD) has been proposed as an approach that effectively trades off economic costs with operational risks for power dispatch under uncertainty. However, how t…
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
Redouane Lguensat, Miao Sun, Ronan Fablet +3
This work presents EddyNet, a deep learning based architecture for automated eddy detection and classification from Sea Surface Height (SSH) maps provided by the Copernicus Marine…
Deep Synoptic Array science: a 50 Mpc fast radio burst constrains the mass of the Milky Way circumgalactic medium
Vikram Ravi, Morgan Catha, Ge Chen +21
We present the Deep Synoptic Array (DSA-110) discovery and interferometric localization of the so far non-repeating FRB 20220319D. The FRB originates in a young, rapidly star-formi…
RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
Tingyu Chen, Wenkai Zhang, Li Gao +4
In commercial web search, aligning content freshness with user intent remains challenging due to the highly varied lifespans of information. Traditional industrial approaches rely…
Multi-agent Modeling and Optimal Pumping Control of Magnetic Artificial Cilia
Shuangshuang Yu, Zheng Ning, Ge Chen
Tiny cilia drive the flow of surrounding fluids through asymmetric jumping, which is one of the main ways for biological organisms to control fluid transport at the micro-scale. Du…
The asymptotic size of the largest component in random geometric graphs with some applications
Ge Chen, Chang-Long Yao, Tian-De Guo
For the size of the largest component in a supercritical random geometric graph, this paper estimates its expectation which tends to a polynomial on a rate of exponential decay, an…
P4COM: In-Network Computation with Programmable Switches
Ge Chen, Gaoxiong Zeng, Li Chen
Traditionally, switches only provide forwarding services and have no credits on computation in distributed computing frameworks. The emerging programmable switches make in-network…