Minghao Guo

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Trust or Abstain? A Self-Aware RAG Approach.
CoRR, May, 2026

WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer.
CoRR, May, 2026

MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory.
CoRR, May, 2026

Hierarchical Transformer Preconditioning for Interactive Physics Simulation.
CoRR, May, 2026

Neural Statistical Functions.
CoRR, May, 2026

RigidFormer: Learning Rigid Dynamics using Transformers.
CoRR, May, 2026

AEL: Agent Evolving Learning for Open-Ended Environments.
CoRR, April, 2026

Raiven: LLM-Based Visualization Authoring via Domain-Specific Language Mediation.
CoRR, April, 2026

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model.
CoRR, April, 2026

M-ABD: Scalable, Efficient, and Robust Multi-Affine-Body Dynamics.
CoRR, March, 2026

Individual Turing Test: A Case Study of LLM-based Simulation Using Longitudinal Personal Data.
CoRR, March, 2026

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training.
CoRR, February, 2026

PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement.
CoRR, February, 2026

RAGRouter-Bench: A Dataset and Benchmark for Adaptive RAG Routing.
CoRR, February, 2026

Neural Geometry Image-Based Representations with Optimal Transport (OT).
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
OmniRouter: Budget and Performance Controllable Multi-LLM Routing.
SIGKDD Explor., December, 2025

GLaD: Geometric Latent Distillation for Vision-Language-Action Models.
CoRR, December, 2025

TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation.
CoRR, October, 2025

Kinematic Kitbashing for Modeling Functional Articulated Objects.
CoRR, October, 2025

Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection.
CoRR, October, 2025

Leveraging Geometric Visual Illusions as Perceptual Inductive Biases for Vision Models.
CoRR, September, 2025

Newton to Einstein: Axiom-Based Discovery via Game Design.
CoRR, September, 2025

Post Hoc Regression Refinement via Pairwise Rankings.
CoRR, August, 2025

ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network.
CoRR, August, 2025

PhasePoly: An Optimization Framework forPhase Polynomials in Quantum Circuits.
CoRR, June, 2025

DeSocial: Blockchain-based Decentralized Social Networks.
CoRR, May, 2025

Genesis: A Compiler Framework for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers.
CoRR, May, 2025

FlashBias: Fast Computation of Attention with Bias.
CoRR, May, 2025

A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation.
CoRR, April, 2025

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models.
CoRR, March, 2025

TOPLDM: Towards dynamic low overhead traffic obfuscation based on packet length distribution modification.
Comput. Networks, 2025

DIGNN-A: Real-Time Network Intrusion Detection with Integrated Neural Networks Based on Dynamic Graph.
Comput. Mater. Continua, 2025

Electronic-Free Particle Robots Communicate through Architected Tentacles.
Adv. Intell. Syst., 2025

Graphics4Science: Computer Graphics for Scientific Impacts.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Courses, 2025

Leveraging Phase Polynomials for Quantum Circuits Optimization.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Genesis: A Compiler for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Procedural Synthesis of Synthesizable Molecules.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

$A_{0}$: An Affordance-Aware Hierarchical Model for General Robotic Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Medial Skeletal Diagram: A Generalized Medial Axis Approach for Compact 3D Shape Representation.
ACM Trans. Graph., December, 2024

Multi-modal co-learning for silent speech recognition based on ultrasound tongue images.
Speech Commun., 2024

Two-Stage Pretraining for Molecular Property Prediction in the Wild.
CoRR, 2024

Syntax-Guided Procedural Synthesis of Molecules.
CoRR, 2024

Linear Depth QFT over IBM Heavy-hex Architecture.
CoRR, 2024

Optimizing Quantum Fourier Transformation (QFT) Kernels for Modern NISQ and FT Architectures.
Proceedings of the International Conference for High Performance Computing, 2024

Physically Compatible 3D Object Modeling from a Single Image.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Representing Molecules as Random Walks Over Interpretable Grammars.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Breaking the Corpus Bottleneck for Multi-dialect Speech Recognition with Flexible Adapters.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Adaptive Approximate Implicitization of Planar Parametric Curves via Asymmetric Gradient Constraints.
Symmetry, September, 2023

Variational quasi-harmonic maps for computing diffeomorphisms.
ACM Trans. Graph., August, 2023

Adaptive Approximate Implicitization of Planar Parametric Curves via Weak Gradient Constraints.
CoRR, 2023

Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction.
Proceedings of the International Conference on Machine Learning, 2023

OpenRT: An Open-source Framework for Reasoning Over Tabular Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023

2022
Data-Efficient Graph Grammar Learning for Molecular Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Pareto gamuts: exploring optimal designs across varying contexts.
ACM Trans. Graph., 2021

Texture Memory-Augmented Deep Patch-Based Image Inpainting.
IEEE Trans. Image Process., 2021

Polygrammar: Grammar for Digital Polymer Representation and Generation.
CoRR, 2021

Improved Multi-objective Genetic Algorithm for Unit Economic Operating Load Distribution.
Proceedings of the Genetic and Evolutionary Computing, 2021

Towards Evaluating and Training Verifiably Robust Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Reasoning-Decision Networks for Robust Face Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks.
CoRR, 2019

AM-LFS: AutoML for Loss Function Search.
CoRR, 2019

Online Hyper-parameter Learning for Auto-Augmentation Strategy.
CoRR, 2019

See the World Through Network Cameras.
Computer, 2019

Online Hyper-Parameter Learning for Auto-Augmentation Strategy.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AM-LFS: AutoML for Loss Function Search.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Articulatory Features Based TDNN Model for Spoken Language Recognition.
Proceedings of the International Conference on Asian Language Processing, 2019

IRLAS: Inverse Reinforcement Learning for Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Study on Mispronunciation Detection Based on Fine-grained Speech Attribute.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Improve the Accuracy of Non-native Speech Annotation with a Semi-automatic Approach.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Imperfect Reconstructed Filter Bank Multiple Access System Using Wide-Banded Subbands.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Combining Exemplar-Based Approach and learning-Based Approach for Light Field Super-Resolution Using a Hybrid Imaging System.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2011
Geometric Information and Rational Parametrization of Nonsingular Cubic Blending Surfaces.
J. Appl. Math., 2011


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