Institution profile

University of Electronic Science and Technology of China

Academic institutionasia · cn
Official website
Research library1,517linked papers
Opportunities0open roles
Selected work

Representative Papers

An Evolutionary Game With the Game Transitions Based on the Markov Process

Jan 01, 2024IEEE Transactions on Systems, Man, and Cybernetics: Systems

Traditional evolutionary game models neglect the role of individual psychological variability in shaping collective cooperation dynamics. Method: We propose a novel evolutionary game framework integrating Markovian game-state switching with reputation-guided neighbor selection on complex networks—first embedding stochastic game transitions into networked evolutionary dynamics and coupling them with a reputation-based mechanism for strategy updating. Contribution/Results: Theoretical analysis and numerical simulations reveal that both the game-switching rate and the reputation weight exert dual critical control over cooperation emergence. Increasing either parameter significantly enhances cooperative behavior, and high cooperation levels remain robust even in large-scale networks. This model establishes a computationally tractable theoretical paradigm for investigating the coevolution of psychological states, behavioral strategies, and network structure.

22 citationsRead paper

AIM: Acoustic Inertial Measurement for Indoor Drone Localization and Tracking

Nov 06, 2022ACM International Conference on Embedded Networked Sensor Systems

To address the challenge of precise UAV localization in GPS-denied indoor environments—particularly under non-line-of-sight (NLoS) conditions where existing methods rely on dedicated hardware or pre-deployed infrastructure—this paper proposes a markerless, infrastructure-free acoustic-inertial fusion localization paradigm. Leveraging only the intrinsic acoustic features of an onboard sound source and a distributed microphone array, the method enables real-time, high-accuracy motion tracking even in NLoS scenarios. We introduce an IQR-enhanced extended Kalman filter to robustly suppress outliers in acoustic source localization. Experimental results demonstrate that, in complex indoor settings, our approach achieves an average positioning error 46% lower than that of commercial UWB systems. Moreover, it consistently maintains sub-meter accuracy (<0.8 m) across arbitrarily scaled and configured spaces, significantly improving NLoS robustness and deployment flexibility.

16 citationsRead paper

Open Data in the Digital Economy: An Evolutionary Game Theory Perspective

Jun 01, 2024IEEE Transactions on Computational Social Systems

Existing research on open data–driven sustainable development overlooks the critical role of data intermediaries—particularly regulatory entities—in governing data ecosystems. Method: This study constructs a tripartite evolutionary game model integrating data providers, users, and regulators—the first systematic incorporation of regulators into open data literature—to characterize multi-stakeholder co-evolutionary dynamics. It employs replicator dynamics analysis, numerical simulation, and sensitivity testing to examine nonlinear interactions among regulatory incentives, user costs, and data value. Contribution/Results: The analysis identifies multiple evolutionarily stable strategies (ESS) and quantifies threshold effects: regulatory reward-penalty intensity and users’ data mining capability exhibit nonlinear, bifurcation-like impacts on cooperation rates. Findings provide empirically grounded theoretical foundations for designing incentive-compatible platform mechanisms and evidence-based data governance policies to advance sustainable development through open data.

13 citationsRead paper

Indoor Drone Localization and Tracking Based on Acoustic Inertial Measurement

Jun 01, 2024IEEE Transactions on Mobile Computing

To address the challenge of precise localization and tracking of indoor drones under GPS-denied and non-line-of-sight (NLoS) conditions, this paper proposes a hardware-agnostic acoustic-inertial fusion method that requires no drone hardware modification or large-scale infrastructure deployment. Innovatively leveraging the drone’s rotor-generated acoustic signatures as motion sources, the approach integrates a distributed microphone array with a customized extended Kalman filter (EKF) and incorporates an interquartile range (IQR)-based robust outlier rejection mechanism. This enables real-time, three-dimensional pose estimation and motion tracking in arbitrarily sized and configured indoor environments. Experimental evaluation in a complex 10 m × 10 m indoor setting demonstrates that the method achieves a 46% reduction in mean localization error compared to a commercial ultra-wideband (UWB) system; moreover, positioning accuracy remains within 0.5 m across a 20 m operational range.

10 citationsRead paper

Unified Source-Free Domain Adaptation

Mar 12, 2024arXiv.org

Existing source-free domain adaptation (SFDA) methods are constrained to specific settings—e.g., closed-set, open-set, biased-set, or generalized SFDA—and rely on target-domain priors, limiting their applicability and theoretical grounding. Method: This work introduces Unified SFDA, the first formal problem formulation of SFDA that requires neither source data nor target-domain prior knowledge. From a causal perspective, it models the generative relationship between latent variables and decisions, proposing the Latent Causal Factor Discovery (LCFD) framework. LCFD integrates vision-language pretrained models (e.g., CLIP) with a causally motivated information bottleneck objective to achieve theoretically guaranteed representation disentanglement. Contribution/Results: Unified SFDA establishes a general, prior-free SFDA paradigm. It achieves state-of-the-art performance across all major SFDA benchmarks and significantly improves out-of-distribution generalization, demonstrating robustness to unseen domain shifts without access to source data or target annotations.

6 citations1 influentialRead paper
Recent publications

Latest Papers