Lin Wang

An Improved Artificial Fish-Swarm Algorithm and Its Applications

2021 · 2021 China Automation Congress (CAC)

The convergence and accuracy of the artificial fish swarm algorithm (AFSA) depend not only on the algorithm parameters, but also on the four different behaviors of the fish swarm algorithm. This paper analyzes the influence …

Visual Sentiment Analysis with Noisy Labels by Reweighting Loss

2018

Visual sentiment analysis of online user generated content is important for many social media analysis tasks. However, label noise is common in sentiment analysis datasets, which deteriorate classification performance. To address this issue, we propose …

Intuitionistic Fuzzy Dynamic Bayesian Network and its Application to Terminating Situation Assessment

2019 · Procedia Computer Science

The period of terminating situation in air combat is time-varying and full of information with uncertainty. In order to process the fuzzy information in time series and assess the situation effectively, Intuitionistic Fuzzy Dynamic Bayesian …

A Hybridization of Dragonfly Algorithm Optimization and Angle Modulation Mechanism for 0-1 Knapsack Problems

2021 · Entropy

The dragonfly algorithm (DA) is a new intelligent algorithm based on the theory of dragonfly foraging and evading predators. DA exhibits excellent performance in solving multimodal continuous functions and engineering problems. To make this algorithm …

An Alternative Approach for Computing Discrete Logarithms in Compressed SIDH.

2021 · IACR Cryptology ePrint Archive

Currently, public-key compression of supersingular isogeny Diffie-Hellman (SIDH) and its variant, supersingular isogeny key encapsulation (SIKE) involve pairing computation and discrete logarithm computation. In this paper, we propose novel methods to compute only 3 discrete …

An Analysis of Research Themes and Trends of Teacher Blended Learning in China

2021 · Science Innovation

Blended learning is generally regarded as an effective learning approach. In the field of teacher education, the influence of blended learning is growing, and more and more teacher training adopt the form of blended learning. …

Rate-Constrained Trellis-Coded Quantization for Large-Scale Noisy Graph Signals

2022 · IEEE Communications Letters

We consider the issue of compressing large-scale noise-corrupted graph signals under a rate constraint, to tackle the communication resource limitations, from rate-distortion perspective. To guarantee the fidelity of the overall compression system for noisy graph …

Healthor: Heterogeneity-aware Flow Control in DLTs to Increase Performance and Decentralization

2022 · Distributed Ledger Technologies Research and Practice

Permissionless reputation-based distributed ledger technologies (DLTs) have been proposed to overcome blockchains’ shortcomings in terms of performance and scalability, and to enable feeless messages to power the machine-to-machine economy. These DLTs allow machines with widely …

OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details. Most classical methods for such problems are based on strong and fixed a priori assumptions, such as Gaussianity. …

Analysis of the Relationship between Liver Diseases and Enteric Microorganisms by Knowledge Graph

2024

Liver diseases and intestinal microorganisms are closely linked through the gut-liver axis, a biological pathway through which gut microbiota directly impact liver health. This paper employs the knowledge graph method to systematically query the literature …

A Multi-Strategy Adaptive Coati Optimization Algorithm for Constrained Optimization Engineering Design Problems

2025 · Biomimetics

Optimization algorithms serve as a powerful instrument for tackling optimization issues and are highly valuable in the context of engineering design. The coati optimization algorithm (COA) is a novel meta-heuristic algorithm known for its robust …

Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning

2025 · arXiv (Cornell University)

Despite recent progress in video generation, producing videos that adhere to physical laws remains a significant challenge. Traditional diffusion-based methods struggle to extrapolate to unseen physical conditions (eg, velocity) due to their reliance on data-driven …