姚欣

2026

面向新型电力系统的电氢耦合多时空尺度规划：China-MSTPEHC综合规划模型

《中国电机工程学报》

2026

Corrigendum to "DPEP1 mediates regulation of mitochondrial quality control via FOXO1/ALDH1L2 axis to attenuate ferroptosis in pulmonary endothelial cells to alleviate sepsis-associated acute lung injury" [Int. Immunopharmacol. 170 (2026) 116049].

International Immunopharmacology

DOI

2025

转向架枕簧自动拆装机器视觉与轨迹规划研究

《机车车辆工艺》

DOI

2025

基于PSO算法的LS-SVM在医疗管理系统中财务管理与决策系统的应用

《微型电脑应用》

2025

微波系统级封装的特点研究与应用进展

《空间电子技术》

2024

Fast POI anomaly detection using a weakly-supervised temporal state regression network

Computational Urban Science，Vol. 4, No. 1

DOI

2022

基于知识原型网络的小样本多功能雷达工作模式识别

《电子学报》

2021

基于小波特征提取与深度学习的微电网故障诊断与分类方法

《智慧电力》

2020

一种通用混合计算中间件的设计与实现

《现代电子技术》

DOI

2019

一种最优相似度的公共序列研究

《无线互联科技》

2010

无源毫米波成像系统设计研究

《现代电子技术》

2026

Scalable Training of Mixture-of-Experts Models with Megatron Core

arXiv preprint

2026

RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents

arXiv preprint

2026

Integrating Knowledge Distillation Methods: A Sequential Multi-Stage Framework

arXiv preprint

2026

Interpretable and Fair Generalized Additive Neural Networks via Multi-objective Learning

arXiv preprint

DOI

2026

SafeRedirect: Defeating Internal Safety Collapse via Task-Completion Redirection in Frontier LLMs

arXiv preprint

2026

Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks

arXiv preprint

2026

CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness

arXiv preprint

2026

SameFact: The Same Safety Facts Lead to Different Responses Across Interfaces

arXiv preprint

2026

Says Block, Still Acts: Why LLM Safety Judgments Fail to Govern Action in LLM Agents

arXiv preprint

2026

Hybrid GPU-CPU Retrieval for Personalized Search at Ultra-Large Scale

arXiv preprint

2026

Purpose IR: Compiling User Purpose for Privacy-Preserving Agent Workflow State

arXiv preprint

2026

Correlation-Aware Structured Pruning for Large Language Models

arXiv preprint

2026

SaplingGuard: A Multidimensional-Profile-Aware Multi-Agent Guardrail for Developmentally Safe Adolescent-LLM Interaction

arXiv preprint

2026

Evolutionary Computation for Trustworthy AI: From Attacks and Defenses to Self-Evolving Era

arXiv preprint

2026

Online Regime-aware Calibration for Black-box Social Simulators via Posterior-assisted Evolutionary Dynamic Optimization

arXiv preprint

2026

FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods

arXiv preprint

2026

OpenAgentFlow: Enabling System-Wide Safety Boundaries for Heterogeneous AI Agent Fleets

arXiv preprint

2026

SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces

arXiv preprint

2026

Raising the Bar for Chinese Adolescent LLM Safety: A Culturally-Grounded, Fine-Grained Benchmark

arXiv preprint

2026

FlexNPU: Transparent NPU Virtualization for Dynamic LLM Prefill-Decode Co-location

arXiv preprint

2026

Metis: Bridging Text and Code Memory for Self-Evolving Agents

arXiv preprint

2026

Modeling and Optimization for Massive Data Allocation in Database

arXiv preprint

2026

"Allow" to Achieve, Over-Privileged Inadvertently: The Unintended Cost of Task-Completion-Driven Pop-up Decisions in Mobile GUI Agents

arXiv preprint

2026

ARGOS: Automated Functional Safety Requirement Synthesis for Embodied AI via Attribute-Guided Combinatorial Reasoning

arXiv preprint

2026

PRQuant: Permutation Residual Quantization for Low-Overhead Inference

arXiv preprint

2025

MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core

arXiv preprint

2025

ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training

arXiv preprint

2025

On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning

arXiv preprint

2025

ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding

arXiv preprint

2025

Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning

arXiv preprint

2025

HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning

arXiv preprint

2025

Lifelong Learning with Behavior Consolidation for Vehicle Routing

arXiv preprint

2025

KBest: Efficient Vector Search on Kunpeng CPU

arXiv preprint

2025

Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms

arXiv preprint

DOI

2025

Knowledge-Guided Memetic Algorithm for Capacitated Arc Routing Problems with Time-Dependent Service Costs

arXiv preprint

2025

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

arXiv preprint

2025

Gorgeous: Revisiting the Data Layout for Disk-Resident High-Dimensional Vector Search

arXiv preprint

2025

Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams

arXiv preprint

DOI

2025

CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning

arXiv preprint

2025

ReaSeq: Unleashing World Knowledge via Reasoning for Sequential Modeling

arXiv preprint

2025

KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng

arXiv preprint

2024

Evolutionary Reinforcement Learning via Cooperative Coevolution

arXiv preprint

2024

Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes

arXiv preprint

2024

Fairness-aware Multiobjective Evolutionary Learning

arXiv preprint

DOI

2024

Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain

arXiv preprint

DOI

2024

Procedural Fairness in Machine Learning

arXiv preprint

DOI

2024

PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning

arXiv preprint

2024

Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral

arXiv preprint

2024

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects

arXiv preprint

2024

PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation

arXiv preprint

DOI

2024

An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews

arXiv preprint

2024

UpANNS: Enhancing Billion-Scale ANNS Efficiency with Real-World PIM Architecture

arXiv preprint

2024

MEGO: Learning Mixture-of-Experts for General-Purpose Binary Optimization

arXiv preprint

2023

Evolving Constrained Reinforcement Learning Policy

arXiv preprint

2023

Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect

arXiv preprint

2023

EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

arXiv preprint

2023

Local Optima Correlation Assisted Adaptive Operator Selection

arXiv preprint

2023

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

arXiv preprint

2023

Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack

arXiv preprint

2023

MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model

arXiv preprint

2023

Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives

arXiv preprint

2023

Experience-Based Evolutionary Algorithms for Expensive Optimization

arXiv preprint

2023

Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels

arXiv preprint

2023

Sanitized Clustering against Confounding Bias

arXiv preprint

2023

LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves

arXiv preprint

DOI

2023

Theoretical Analyses of Evolutionary Algorithms on Time-Linkage OneMax with General Weights

arXiv preprint

2023

Constrained Reinforcement Learning for Dynamic Material Handling

arXiv preprint

2022

A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments

arXiv preprint

2022

Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank

arXiv preprint

2022

Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks

arXiv preprint

DOI

2022

A Survey on Heterogeneous Federated Learning

arXiv preprint

2022

The Vision of Self-Evolving Computing Systems

arXiv preprint

2022

On the Information Theoretic Secure Aggregation with Uncoded Groupwise Keys

arXiv preprint

2022

Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems

arXiv preprint

2022

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning

arXiv preprint

DOI

2022

Gradient-based Intra-attention Pruning on Pre-trained Language Models

arXiv preprint

2021

TRIP: Refining Image-to-Image Translation via Rival Preferences

arXiv preprint

2021

Lifelong Computing

arXiv preprint

2021

Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning

arXiv preprint

2021

Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark

arXiv preprint

2021

Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order

arXiv preprint

DOI

2021

Competition on Dynamic Optimization Problems Generated by Generalized Moving Peaks Benchmark (GMPB)

arXiv preprint

2021

Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm

arXiv preprint

DOI

2021

Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation

arXiv preprint

DOI

2021

Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics

arXiv preprint

2020

Continual Local Training for Better Initialization of Federated Models

arXiv preprint

DOI

2020

Reinforcement Learning with Dual-Observation for General Video Game Playing

arXiv preprint

DOI

2020

Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline

arXiv preprint

DOI

2020

A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros

arXiv preprint

2020

How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance

arXiv preprint

DOI

2019

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs

arXiv preprint

2019

Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

arXiv preprint

DOI

2019

Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating

arXiv preprint

2019

A Simple Yet Effective Approach to Robust Optimization Over Time

arXiv preprint

2019

Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning

arXiv preprint

DOI

2019

Parallel Exploration via Negatively Correlated Search

arXiv preprint

DOI

2019

Learning Topological Representation for Networks via Hierarchical Sampling

arXiv preprint

2019

Representation Learning for Heterogeneous Information Networks via Embedding Events

arXiv preprint

2019

Adaptive Initialization Method for K-means Algorithm

arXiv preprint

2018

Evolutionary Generative Adversarial Networks

arXiv preprint

2018

Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming

arXiv preprint

2018

Nanorobots-assisted Detection of Multifocal Cancer: A Multimodal Optimization Perspective

arXiv preprint

2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results

arXiv preprint

2017

Integration of Preferences in Decomposition Multi-Objective Optimization

arXiv preprint

2016

A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems

arXiv preprint

DOI

2016

FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software

arXiv preprint

DOI

2012

A Large Population Size Can Be Unhelpful in Evolutionary Algorithms

arXiv preprint

2010

On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms

arXiv preprint

2009

Uncovering delayed patterns in noisy and irregularly sampled time series: an astronomy application

arXiv preprint