Yexiao He

Orcid: 0000-0002-4675-7733

According to our database1, Yexiao He authored at least 26 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines.
CoRR, April, 2026

Cognibit: From Digital Exhaustion to Real-World Connection Through Gamified Territory Control and LLM-Powered Twin Networking.
CoRR, April, 2026

ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models.
CoRR, February, 2026

FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards.
CoRR, February, 2026

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines.
Trans. Mach. Learn. Res., 2026

2025
MindCraft: How Concept Trees Take Shape In Deep Models.
CoRR, October, 2025

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code.
CoRR, August, 2025

Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation.
CoRR, August, 2025

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization.
CoRR, July, 2025

CogniPair: From LLM Chatbots to Conscious AI Agents - GNWT-Based Multi-Agent Digital Twins for Social Pairing - Dating & Hiring Applications.
CoRR, June, 2025

MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility.
CoRR, June, 2025

Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services.
CoRR, May, 2025

CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs.
CoRR, May, 2025

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning.
CoRR, April, 2025

Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices.
CoRR, March, 2025

NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis.
CoRR, March, 2025

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices.
Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

Privacy-First Triage Classification with Open-Weight LLMs: A Chain-of-Thought Distillation Approach.
Proceedings of the IEEE International Conference on Data Mining, 2025

2024
Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias.
CoRR, 2024

One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models.
CoRR, 2024

Dynamic relay node selection and routing for cloud-native Software Defined WANs.
Comput. Networks, 2024

Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Chronos: Accelerating Federated Learning With Resource Aware Training Volume Tuning at Network Edges.
IEEE Trans. Veh. Technol., March, 2023

2022
Joint optimization of Service Chain Graph Design and Mapping in NFV-enabled networks.
Comput. Networks, 2022


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