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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Graphene Nanofluidic Memristive DevicesRippled graphene nanopores as fluidic memristive devices with synaptic and neuromorphic functionalities. Bio-inspired ion channel-based computing using nanofluidic memristors. Activation: graphene memristor, fluidic memristive, ion channel computing, nanofluidic synapse.Votes: 0GitHub stars: 3
- Gravitational Wave Lensing Beyond Rays Disordered System ApproacResearch methodology from paper 'Gravitational-wave lensing beyond rays: a disordered-system approach'. arXiv:2604.15313v1. Covers key techniques and approaches for neuroscience research. Activation: gravitational, wave, lensing, astro-ph.COVotes: 0GitHub stars: 3
- Grid Cell Normative Theory Review规范网格细胞理论综述：探讨网格细胞表征的计算原理和神经编码。涵盖路径整合、生物合理性编码、非线性解码及任务优化神经网络整合。适用于计算神经科学、神经编码研究、空间导航机制。Votes: 0GitHub stars: 3
- Grid Place Cell Co EmergenceFirst unified recurrent network model implementing Dale's Law (every neuron is either excitatory or inhibitory) that trains via masked next-observation prediction to co-emerge both grid and place cells from a single architecture. Use when researching: grid cell emergence, place cell models, entorhinal-hippocampal circuits, spatial navigation neural networks, Dale's Law in computational models, co-emergence of spatial representations, MEC-HPC reciprocal connectivity, developmental spatial cogn...Votes: 0GitHub stars: 3
- Grid Place Co EmergenceA unified recurrent network model instantiating Dale's Law where grid cells and place cells co-emerge from a single sensory-prediction objective without supervision of either type — the first such model to explain co-emergence, grid fragmentation, wall removal merging, and developmental ordering.Votes: 0GitHub stars: 3
- Griffiths Phase Brain Criticality脑临界性的 Griffiths 相框架。扩展的临界区域解释个体变异， 平衡鲁棒性与灵活性。结合结构网络模块性和区域异质性。 触发词：脑临界性、Griffiths相、临界点、个体变异、鲁棒性与灵活性、 brain criticality, Griffiths phase, critical point, individual variability。Votes: 0GitHub stars: 3
- Grokking Epoch Double Descent QnnMethodology for analyzing and mitigating grokking, epoch-wise double descent, and late-stage generalization decay in overparameterized quantum neural networks via weight-norm regularization.Votes: 0GitHub stars: 3
- Grounded World Models AiSkill for understanding grounded world models in biological organisms and their implications for future embodied AI, based on arXiv:2607.13560v1.Votes: 0GitHub stars: 3
- Grounded World Models Biological Organisms Future Embodied AiGrounded world models in biological organisms and future embodied AI - arXiv:2607.13560 - A framework for understanding how biological intelligence builds grounded world models through interaction, with implications for embodied AIVotes: 0GitHub stars: 3
- Growing Neural Breadth Depth TimeDifferentiable cost terms for breadth, depth, and time in recurrent convolutional neural networks. Jointly optimizes spatial/temporal resource costs with task errors to produce adaptive computational graphs that grow organically through training.Votes: 0GitHub stars: 3
- Growing Neural Cellular Automata Gnca Self RepairMethodology for analyzing internal fluctuations in Growing Neural Cellular Automata (GNCA) to understand self-maintenance and self-repair mechanisms. Based on arXiv:2607.12403v1.Votes: 0GitHub stars: 3
- Growing Neural Network Breadth Depth TimeDifferentiable cost framework for jointly optimizing neural network breadth, depth, and time - reveals resource trade-offs and human reaction time correlationVotes: 0GitHub stars: 3
- Gsu Dbnet Snn Speech EnhancementGSU-DBNet: Dual-Branch Spiking Neural Network for neuromorphic speech enhancement with Gated Spiking Units (GSU). Achieves PESQ 3.04 with only 394K params (4.5-10.6% of ANN models). (arXiv: 2606.23761)Votes: 0GitHub stars: 3
- Hamiltonian Qkd RoutingQuantum-inspired Hamiltonian optimization for QKD network routing using effective Hamiltonian modeling, Quantum Monte Carlo annealing, and stochastic Tensor Network State compression. Activation: QKD routing, Hamiltonian optimization, tensor networks, quantum annealing, network orchestration.Votes: 0GitHub stars: 3
- Hamiltonian Quantum Reservoir ComputingHamiltonian-encoded quantum reservoir computing methodology for robust quantum learning on NISQ platforms. Addresses trainability (barren plateaus), hardware efficiency, and information stability through direct Hamiltonian mapping and quantum dynamical evolution.Votes: 0GitHub stars: 3
- Hamming Distance Quantum SamplingExtremely slow scaling of minimal Hamming distance in quantum sampling data. Use when analyzing quantum algorithms, complexity bounds, quantum ML architectures, or quantum error correction involving mathematical analysis and statistical methods.Votes: 0GitHub stars: 3
- Hamming Quantum Kernel SvmHamming quantum kernel for SVMs that avoids exponential concentration problem of fidelity quantum kernel. Uses full measurement statistics rather than single fidelity value. Outperforms fidelity kernel at 15+ qubits and classical Gaussian kernel on synthetic quantum data. Scales to 27 qubits without additional quantum resources. Activation: hamming quantum kernel, quantum SVM, exponential concentration, quantum kernel scalability, fidelity kernel alternative, scalable quantum kernelVotes: 0GitHub stars: 3
- Handoff Humanoid ControlHumanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers - 多教师KL蒸馏框架用于人形机器人全身控制Votes: 0GitHub stars: 3
- Hardware Aware Mixed Signal Snn FrameworkHardware-aware open-source framework for mixed-signal Spiking Neural Network design space exploration. Captures non-ideal analog/digital hardware behavior while supporting system-level exploration for energy-efficient neuromorphic edge computing. Activation: mixed-signal SNN, hardware-aware simulation, design space exploration, neuromorphic edge, non-ideal hardware modeling, SNN acceleratorVotes: 0GitHub stars: 3
- Hardware Aware Qaoa CybersecurityHardware-aware QAOA methodology for cybersecurity applications. Combines hardware noise modeling, error-mitigated expectation estimation, and application-specific problem formulation for 100+ qubit NISQ processors.Votes: 0GitHub stars: 3
- Hardware Aware Quantum CompilationHardware-aware quantum compilation with data-driven lightweight error detection for early fault-tolerant NISQ systems. Use when: (1) optimizing qubit mapping and SWAP insertion for NISQ devices, (2) integrating error detection into compilation pipelines, (3) balancing detection overhead against success probability under latency constraints, (4) co-designing compilation and quantum error detection (QED) for early fault-tolerant quantum processors. Activation: quantum compilation, qubit mapping...Votes: 0GitHub stars: 3
- Hardware Aware Snn Design Space ExplorationHardware-aware open-source simulation framework for mixed-signal spiking neural networks. Enables cross-layer design space exploration across neuron models (LIF, HH, AH), synaptic devices (floating-gate, ReRAM), and architectures. Reports accuracy alongside hardware metrics (area, power, quantization sensitivity) for neuromorphic computing at the edge.Votes: 0GitHub stars: 3
- Hardware Aware Vqa AnalysisHardware-aware analysis methodology for Variational Quantum Algorithms (VQAs). Analyzes how hardware compilation (transpilation, qubit mapping, gate decomposition) fundamentally alters expressibility and trainability of parameterized quantum circuits (PQCs). Use when: (1) evaluating VQA performance beyond logical circuit level, (2) analyzing hardware compilation effects on quantum circuit properties, (3) designing PQCs with hardware-aware expressibility/trainability trade-offs, (4) benchmarki...Votes: 0GitHub stars: 3
- Hardware Faithful Plc VerificationHardware-faithful formal verification for IEC 61131-3 PLC programs on resource-constrained microcontrollers. Closes the deployment gap between abstract verification models and real MCU hardware by using declarative HAL descriptors (word width, ADC/PWM resolution, I/O binding) and sound lowering that constrains inputs to hardware-realizable ranges. Use when: (1) verifying PLC programs for embedded MCUs, (2) formal verification of industrial control systems, (3) eliminating false alarms in boun...Votes: 0GitHub stars: 3
- A Novel Surrogateassisted Evolutionary Algorithm Applied To Partitionbased Ensemble Learning**arXiv ID:** 2104.08048 **Authors:** Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman **Published:** 2021-04-16T11:51:18Z **Abstract:** We propose a novel surrogate-assisted Evolutionary Algorithm for solving expensive combinatorial optimization problems. We integrate a surrogate model, which is used for fitness value estimation, into a state-of-the-art P3-like variant of the Gene-Pool Optimal Mixing Algorithm (GOMEA) and adapt the resulting algorithm for solving non-binary combina...Votes: 0GitHub stars: 3
- Adaptive Hybrid Feature Fusion MedicalAdaptive Hybrid Quantum-Classical Feature Fusion methodology for medical image classification. Addresses optimization asymmetries between quantum and classical paradigms using Temperature-Scaled Hybrid Fusion (TSHF) with learnable scalar τ, Dynamic Hybrid Fusion (DHF), and Static Hybrid Fusion (SHF) strategies. Includes implementation scripts (scripts/tshf_fusion.py) for PyTorch. Use when designing hybrid quantum-classical ML pipelines for healthcare/medical imaging, especially when combining...Votes: 0GitHub stars: 3
- Application Of Machine Learning In Early Recommendation Of Cardiac Resynchronization Therapy**arXiv ID:** 2109.06139 **Authors:** Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar **Published:** 2021-09-13T17:30:28Z **Abstract:** Heart failure (HF) is a leading cause of morbidity, mortality, and health care costs. Prolonged conduction through the myocardium can occur with HF, and a device-driven approach, termed cardiac resynchronization therapy (CRT), can improve left ventricular (LV) myocardial conduction patterns. While a functional benefit of CRT has been demonstrated, a l...Votes: 0GitHub stars: 3
- Arxiv 2604 16742 Ct Open An Open Access Uncontaminated Live PlatforCT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction (arXiv: 2604.16742)Votes: 0GitHub stars: 3
- Arxiv 2607 20814 Enhancing Explainable Cardiac Diagnosis With GuideEnhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs (arXiv: 2607.20814)Votes: 0GitHub stars: 3
- Arxiv 2608 04652 Dismix Order Aware Mixup For Medical Imaging Via DDisMix: Order-Aware Mixup for Medical Imaging via Disentangling Ordinal and Non-Ordinal Features (arXiv: 2608.04652)Votes: 0GitHub stars: 3
- Arxiv 2608 05761 Accelerating Nanodrug Development In Continuous FlAccelerating nanodrug development in continuous flow systems using informed prediction models based on low-cost surrogate nanoparticles (arXiv: 2608.05761)Votes: 0GitHub stars: 3
- Arxiv 2608 05761v1 Accelerating Nanodrug Development In Continuous FlAccelerating nanodrug development in continuous flow systems using informed prediction models based on low-cost surrogate nanoparticles (arXiv: 2608.05761v1)Votes: 0GitHub stars: 3
- Arxiv 2608 05893v1 Ecg Lens Lead Aware Clinical Context Enriched Ecg**arXiv ID:** 2608.05893v1 **Authors:** Akanta Das, Tasinul Islam Ahon, Ahmed Mahir Sultan Rumi, Md Mahbubur Rahman, Tausif Amim Shadly, Tanzima Hashem **URL:** http://arxiv.org/abs/2608.05893v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 05982 Thbkg A Temporal Biomedical Knowledge Graph For DeTHBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction (arXiv: 2608.05982)Votes: 0GitHub stars: 3
- Arxiv 2608 05982v1 Thbkg A Temporal Biomedical Knowledge Graph For DeTHBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction (arXiv: 2608.05982v1)Votes: 0GitHub stars: 3
- Arxiv 2608 06265v1 Improving The Realism Of Synthetic Clinical Benchm**arXiv ID:** 2608.06265v1 **Authors:** Omid Bazgir, Md Nasir, Jacob Hoffman, Yang Yang, Manu Agrawal, Anusua Trivedi, Vinay Rao Dandin, Chris Gibbons, Christine Swisher **URL:** http://arxiv.org/abs/2608.06265v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 12745v1 A Cloud Edge System For Multimodal Clinical Screen**arXiv ID:** 2608.12745v1 **Authors:** Hei Ting, Chan, Chenwei Wu, Xueshen Liu, Zesen Zhao, Boyuan Zheng, Luis Filipe Nakayama, Michael G. Morley, Liyue Shen, Jiasi Chen, Z. Morley Mao **URL:** http://arxiv.org/abs/2608.12745v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13283v1 Towards Context Aware Clinical Motion Understandin**arXiv ID:** 2608.13283v1 **Authors:** Vayalet Stefanova, Diwas Lamsal, Margot Genbrugge, Maxim Yudayev, Christian Schlenstedt, Moran Gilat, Bart Vanrumste, Benjamin Filtjens **URL:** http://arxiv.org/abs/2608.13283v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13518v1 Intervention Aware Clinical World Model For Post O**arXiv ID:** 2608.13518v1 **Authors:** Yunsung Chung, Yingshuo Liu, Abboud F. Hassan, Han Feng, Mary M. Maleckar, Nassir Marrouche, Jihun Hamm **URL:** http://arxiv.org/abs/2608.13518v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18597v1 Off Manifold Collapse In Guided Protein Language M**arXiv ID:** 2608.18597v1 **Authors:** Shuibai Zhang, Xinchi Liu, Fred Zhangzhi Peng, Zhihan Yang, Shutong Wu, Yingzi Ma, Jiawei Zhang **URL:** http://arxiv.org/abs/2608.18597v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18687v1 Transforming Heart Disease Prediction With Advance**arXiv ID:** 2608.18687v1 **Authors:** Sami Ullah, Muhammad Mohsin Khan **URL:** http://arxiv.org/abs/2608.18687v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18836v1 Verifiable Abstention Makes Ai Leak Diagnosis Acco**arXiv ID:** 2608.18836v1 **Authors:** Tianwei Mu, Yue Wang, Mingzhe Yuan, Manhong Huang, Wenhong Wang, Xuerui Yin, Qing Luo, Min Xiao, Hui Yang, Jun Li, Dan Xue **URL:** http://arxiv.org/abs/2608.18836v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 22849v1 Ribospan A Long Context Rna Foundation Model For V**arXiv ID:** 2608.22849v1 **Authors:** Ziyuan Wang, Bohao Tang, Fei Zhang, Shuo Han, Pengfei Liu **URL:** http://arxiv.org/abs/2608.22849v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 23093v1 Partial Moment Pinns For Caldeira Leggett Paramete**arXiv ID:** 2608.23093v1 **Authors:** Krishna Bhatia **URL:** http://arxiv.org/abs/2608.23093v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 23531v1 Predicting Multiple Clinical Outcomes Related To F**arXiv ID:** 2608.23531v1 **Authors:** Santosh Ray, Pratik K. Mishra, Ali Abedi, Charlene H. Chu, Amir Ahmad, Shehroz S. Khan **URL:** http://arxiv.org/abs/2608.23531v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 30709v1 Railsyn Diagnosis Guided Image Generation For Trac**arXiv ID:** 2608.30709v1 **Authors:** Quan Hao, Chenxi Zhang, Ziyang Tao, Yuyuan Zhou, Yudong Wang, Rui Shi, Lechuan Xu, Changhao Liu, Liguo Zhang **URL:** http://arxiv.org/abs/2608.30709v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 30912v1 Responsible Integration Of Ai In Cancer Genomics B**arXiv ID:** 2608.30912v1 **Authors:** Bahar İlgen, Yiannos Tolias, Denise Kühnert, Paraskevi Papadopoulou, Magnus Westerlund, Dominik Heider, Katharina Ladewig, Georges Hattab **URL:** http://arxiv.org/abs/2608.30912v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 01735v1 Circuitsdna Discovering Unconventional Multi Accur**arXiv ID:** 2609.01735v1 **Authors:** Ruichen Qi, Junyi Luo, Xinting Jiang, Quan Cheng, Gregory Kielian, Ben Laurie, Dennis Sylvester, Mehdi Saligane **URL:** http://arxiv.org/abs/2609.01735v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 01856v1 Adversarial Vulnerabilities Of Neural Biomarker Id**arXiv ID:** 2609.01856v1 **Authors:** Polina Tapal, Bryce-Allen Bagley **URL:** http://arxiv.org/abs/2609.01856v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02111v1 Disease Burden Over Skin Tone Decomposing The Derm**arXiv ID:** 2609.02111v1 **Authors:** Nirajan Kunwor, Sanjaya Poudel, Quoc-Huy Trinh, Jahidul Arafat, Sunil Kumar Gaire **URL:** http://arxiv.org/abs/2609.02111v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3