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Huang's algorithm is an algorithm for detecting termination in a distributed system. The algorithm was proposed by Shing-Tsaan Huang in 1989 in Information
Huang's_algorithm
Sequence of operations for a task
In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ) is a finite sequence of mathematically rigorous instructions, typically used to solve
Algorithm
An algorithm is a fundamental set of rules or defined procedures that are typically designed and used to be a simpler way to solve a specific problem
List_of_algorithms
Taiwanese and American businessman (born 1963)
liability company reportedly linked to the Huangs acquired a mansion in San Francisco for $38 million. Huang and AMD Chair and CEO Lisa Su are relatives
Jensen_Huang
Subset of artificial intelligence
intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform
Machine_learning
Sequence of locally optimal choices
A greedy algorithm is an algorithm which, at each step, makes the choice that is locally optimal, and subsequently does not reconsider past choices. Greedy
Greedy_algorithm
Dijkstra–Scholten algorithm (named after Edsger W. Dijkstra and Carel S. Scholten) is an algorithm for detecting termination in a distributed system. The algorithm was
Dijkstra–Scholten_algorithm
Algorithm for determining whether a number is prime
A primality test is an algorithm for determining whether an input number is prime. Among other fields of mathematics, it is used for cryptography. Unlike
Primality_test
Recursive algorithm for matrix multiplication
Strassen algorithm, named after Volker Strassen, is an algorithm for matrix multiplication. It is faster than the standard matrix multiplication algorithm for
Strassen_algorithm
Procedure for finding a stable matching
Gale–Shapley algorithm (also known as the deferred acceptance algorithm, propose-and-reject algorithm, or Boston Pool algorithm) is an algorithm for finding
Gale–Shapley_algorithm
Signal processing algorithm
extension of the one-dimensional (1-D) EMD algorithm to a signal encompassing multiple dimensions. The Hilbert–Huang empirical mode decomposition (EMD) process
Multidimensional empirical mode decomposition
Multidimensional_empirical_mode_decomposition
Algorithm to multiply matrices
central operation in many numerical algorithms, much work has been invested in making matrix multiplication algorithms efficient. Applications of matrix
Matrix multiplication algorithm
Matrix_multiplication_algorithm
Optimization algorithm
computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Computer science observation
CPU transistors, Huang's law describes a combination of advances in architecture, interconnects, memory technology, and algorithms. Bharath Ramsundar
Huang's_law
Algorithm for determining similar regions between two molecular sequences
The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings of nucleic acid sequences
Smith–Waterman_algorithm
Chinese-American engineer and computer scientist (1936–2020)
became repeated events. Huang's research tended to focus on the development of general concepts, methodologies, theories, and algorithms which have wide application
Thomas_Huang
Technological phenomenon with social implications
Algorithmic bias describes systematic and repeatable harmful tendency in a computerized sociotechnical system to create "unfair" outcomes, such as "privileging"
Algorithmic_bias
Property of an algorithm
science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. Algorithmic efficiency
Algorithmic_efficiency
Mathematical and computational problem
produced with sophisticated algorithms. In addition, many approximation algorithms exist. For example, the first fit algorithm provides a fast but often
Bin_packing_problem
Divide and conquer sorting algorithm
merge-sort) is an efficient, general-purpose, comparison-based sorting algorithm. Most implementations of merge sort are stable, which means that the relative
Merge_sort
Artificial intelligence system for discovering matrix multiplication algorithms
intelligence algorithms Matrix multiplication algorithm Program synthesis Reinforcement learning Strassen algorithm Fawzi, Alhussein; Balog, Matej; Huang, Aja;
AlphaTensor
Field of machine learning
unsupervised learning. While supervised learning and unsupervised learning algorithms respectively attempt to discover patterns in labeled and unlabeled data
Reinforcement_learning
In computer vision and image processing
used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes –
Otsu's_method
Machine learning algorithm
The junction tree algorithm (also known as 'Clique Tree') is a method used in machine learning to extract marginalization in general graphs. In essence
Junction_tree_algorithm
Algorithmic runtime requirements for matrix multiplication
Unsolved problem in computer science What is the fastest algorithm for matrix multiplication? More unsolved problems in computer science In theoretical
Computational complexity of matrix multiplication
Computational_complexity_of_matrix_multiplication
Algorithm to estimate signal frequency
A pitch detection algorithm (PDA) is an algorithm designed to estimate the pitch or fundamental frequency of a quasiperiodic or oscillating signal, usually
Pitch_detection_algorithm
Hidden Markov model algorithm
The forward algorithm, in the context of a hidden Markov model (HMM), is used to calculate a 'belief state': the probability of a state at a certain time
Forward_algorithm
Signal analysis tool
improved EMD was an appropriate algorithm to be used for analyzing biological signals. Biomedical applications: Huang et al. [1999b] analyzed the pulmonary
Hilbert–Huang_transform
Book by Pedro Domingos
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World is a book by Pedro Domingos released in 2015. Domingos wrote
The_Master_Algorithm
Estimate object properties from a finite number of projections
reconstruction algorithms have been developed to implement the process of reconstruction of a three-dimensional object from its projections. These algorithms are
Tomographic_reconstruction
Algorithm
Iterative closest point (ICP) is a point cloud registration algorithm employed to minimize the difference between two clouds of points. ICP is often used
Iterative_closest_point
Machine learning technique
reward function to improve an agent's policy through an optimization algorithm like proximal policy optimization. RLHF has applications in various domains
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
System to predict users' preferences
called a recommendation algorithm, recommendation engine, recommendation platform, or in the context of social media, simply algorithm is a type of information
Recommender_system
Computational benchmark
has a superpolynomial speedup over the best known or possible classical algorithm for that task. A notable property of quantum supremacy is that it can
Quantum_supremacy
Volume rendering technique
"SPLATTING: A Parallel, Feed-Forward Volume Rendering Algorithm" (PDF). Retrieved October 18, 2023. Huang, Jian (Spring 2002). "Splatting" (PPT). Retrieved
Gaussian_splatting
The Shapiro—Senapathy algorithm (S&S) is a computational method for identifying splice sites in eukaryotic genes. The algorithm employs a Position Weight
Shapiro–Senapathy_algorithm
metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing is a probabilistic algorithm inspired by annealing, a heat
List of metaphor-based metaheuristics
List_of_metaphor-based_metaheuristics
efficiency A property of an algorithm which relates to the number of computational resources used by the algorithm. An algorithm must be analyzed to determine
Glossary_of_computer_science
Optimization algorithm
quasi-Newton algorithm was proposed by William C. Davidon, a physicist working at Argonne National Laboratory. He developed the first quasi-Newton algorithm in
Quasi-Newton_method
Computational complexity class of problems
decision problem is a member of BQP if there exists a quantum algorithm (an algorithm that runs on a quantum computer) that solves the decision problem
BQP
Heuristic search algorithm for evaluating game trees
computer science, Monte Carlo tree search (MCTS) is a heuristic tree search algorithm for some kinds of decision processes, most notably those employed in software
Monte_Carlo_tree_search
Grouping a set of objects by similarity
analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved by various algorithms that differ significantly
Cluster_analysis
Subfield of convex optimization
solutions from exact solvers but in only 10-20 algorithm iterations. Hazan has developed an approximate algorithm for solving SDPs with the additional constraint
Semidefinite_programming
Experimental technology level
approximate optimization algorithm (QAOA), which use NISQ devices but offload some calculations to classical processors. These algorithms have been successful
Noisy intermediate-scale quantum computing
Noisy_intermediate-scale_quantum_computing
British-Canadian computer scientist (born 1947)
highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first
Geoffrey_Hinton
Family of algorithms for sampling from discrete probability distributions
In computing, the alias method is a family of efficient algorithms for sampling from a discrete probability distribution, published in 1974 by Alastair
Alias_method
Color reconstruction algorithm
Demosaicing, also known as color reconstruction, is a digital image processing algorithm used to reconstruct a full color image from the incomplete color samples
Demosaicing
Combinatorial game theory concept to represent all possible game states
a deterministic algorithm, such as backward induction or retrograde analysis can be used. Randomized algorithms and minmax algorithms such as MCTS can
Game_tree
Machine learning technique
gaussian mixture model, can also be trained by the expectation-maximization algorithm, just like gaussian mixture models. Specifically, during the expectation
Mixture_of_experts
The brain storm optimization algorithm is a heuristic algorithm that focuses on solving multi-modal problems, such as radio antennas design worked on by
Brain storm optimization algorithm
Brain_storm_optimization_algorithm
Chinese businessman (born 1985)
2010. His master's dissertation was titled "Study on Object Tracking Algorithm Based on Low-Cost PTZ camera" (基于低成本PTZ摄像机的目标跟踪算法研究). In his college years
Liang_Wenfeng
Set of methods for supervised statistical learning
vector network is a supervised max-margin model with associated learning algorithms that analyze data for classification and regression analysis. Developed
Support_vector_machine
Optimization algorithm in computer science
The multifit algorithm is an algorithm for multiway number partitioning, originally developed for the problem of identical-machines scheduling. It was
Multifit_algorithm
Shared independent set of two matroids
(1+\log {W}))} . The second algorithm runs in time O ( n r ⋅ ( log n + r + T ) ) {\displaystyle O(nr\cdot (\log {n}+r+T))} . Huang, Kakimura and Kamiyama
Matroid_intersection
1967 short story by Harlan Ellison
(2022) "Rabbit Test" by Samantha Mills (2023) "Better Living Through Algorithms" by Naomi Kritzer (2024) "Stitched to Skin Like Family Is" by Nghi Vo
I Have No Mouth, and I Must Scream
I_Have_No_Mouth,_and_I_Must_Scream
Slovenian-Canadian computer vision researcher
received popular press coverage, including a pop-song generator and an algorithm to suggest fashion improvements. Prior to joining the University of Toronto
Sanja_Fidler
Pairing where no unchosen pair prefers each other over their choice
the Gale–Shapley algorithm". American Mathematical Monthly. 88 (7): 485–494. doi:10.2307/2321753. JSTOR 2321753. MR 0628016. Huang, Chien-Chung (2006)
Stable_matching_problem
Artificial intelligence division of Meta Platforms
their early chips, is designed for the company's content recommendation algorithms. It was fabricated on TSMC's 7 nm process technology and consumed 25W
Meta_Superintelligence_Labs
2022 short story by Samantha Mills
(2022) "Rabbit Test" by Samantha Mills (2023) "Better Living Through Algorithms" by Naomi Kritzer (2024) "Stitched to Skin Like Family Is" by Nghi Vo
Rabbit_Test_(short_story)
Method of analyzing variables in software
cycles, a more advanced algorithm is required. The most common way of solving the data-flow equations is by using an iterative algorithm. It starts with an
Data-flow_analysis
3D combination puzzle
desired effect on the cube is called an "algorithm". This terminology is derived from the mathematical use of algorithm, meaning a list of well-defined instructions
Rubik's_Cube
AI research laboratory
(MuZero, AlphaStar), for mathematics (AlphaGeometry, FunSearch), and for algorithm discovery (AlphaEvolve, AlphaDev, AlphaTensor). In 2020, DeepMind made
Google_DeepMind
Efficient sorting algorithm that combines insert and merge operations
Block sort, or block merge sort, is a sorting algorithm combining at least two merge operations with an insertion sort to arrive at O(n log n) (see Big
Block_sort
Intelligence of machines
attention and cover the scope of AI research. Early researchers developed algorithms that imitated step-by-step reasoning that humans use when solving puzzles
Artificial_intelligence
Declarative logic programming language
coincides with the minimal Herbrand model. The fixpoint semantics suggest an algorithm for computing the minimal model: Start with the set of ground facts in
Datalog
Hiding messages in other messages
streaming media. In 2011 and 2012, Yongfeng Huang and Shanyu Tang devised new steganographic algorithms that use codec parameters as cover object to
Steganography
Maximal subgraph whose vertices can reach each other
connected components have been used to study algorithms with limited space complexity, and sublinear time algorithms can accurately estimate the number of components
Component_(graph_theory)
Image upscaling technology by Nvidia
a few video games, namely Battlefield V, or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and
Deep_Learning_Super_Sampling
Problem in computer science
1937 that the halting problem is undecidable, meaning that no general algorithm exists that can correctly solve the problem for all possible program–input
Halting_problem
Field associated with machine learning and transfer learning
the output space (or label space). The objective of a machine learning algorithm is to learn a mathematical model (a hypothesis) h : X → Y {\displaystyle
Domain_adaptation
Artificial intelligence that plays Go
in Nature on AlphaGo, said that it is possible to have generalized AI algorithms by removing the need to learn from humans. Google later developed AlphaZero
AlphaGo_Zero
Branch of machine learning
transform the data into a more suitable representation for a classification algorithm to operate on. In the deep learning approach, features are not hand-crafted
Deep_learning
Chinese mathematician (born 1945)
optimum algorithm. He's also on medical image. At present, Huang is leading several national and provincial key scientific projects. ChinaVitae - Huang Daren
Huang_Daren
Chinese artificial intelligence company
Due to U.S. chip restrictions, DeepSeek has continuously refined its algorithms to maximize computational efficiency, leveraging older hardware and reducing
DeepSeek
Tree-based ensemble machine learning methods
decision trees' habit of overfitting to their training set. The first algorithm for random decision forests was created in 1995 by Tin Kam Ho using the
Random_forest
iterative scaling (GIS) and improved iterative scaling (IIS) are two early algorithms used to fit log-linear models, notably multinomial logistic regression
Generalized_iterative_scaling
Concept in mathematics
is an iterative optimization algorithm for finding a local minimum of a differentiable function. It generalizes algorithms such as gradient descent and
Mirror_descent
Non-linear digital filtering technique to remove noise
18287/2412-6179-CO-1388. Huang, Thomas S.; Yang, George J.; Tang, Gregory Y. (February 1979). "A fast two-dimensional median filtering algorithm" (PDF). IEEE Transactions
Median_filter
Class of fingerprinting algorithm
Perceptual hashing is the use of a fingerprinting algorithm that produces a snippet, hash, or fingerprint of various forms of multimedia. A perceptual
Perceptual_hashing
Type of artificial neural network
Liang, N.Y.; Huang, G.B.; Saratchandran, P.; Sundararajan, N. (November 2006). "A fast and accurate online sequential learning algorithm for feedforward
Extreme_learning_machine
Science fiction author
Shi Lian Huang (published as S. L. Huang) is an American science fiction author. Huang was born in New Jersey and completed a Bachelor of Mathematics
S._L._Huang
Task of computing complete subgraphs
time algorithm is known for this problem, more efficient algorithms than the brute-force search are known. For instance, the Bron–Kerbosch algorithm can
Clique_problem
Computational model used in machine learning
PMC 10700131. PMID 38030720. Huang Y (2009). "Advances in Artificial Neural Networks – Methodological Development and Application". Algorithms. 2 (3): 973–1007.
Neural network (machine learning)
Neural_network_(machine_learning)
different algorithm called multifit algorithm, using techniques from bin packing, which has an approximation factor of 13/11≈1.182. Huang and Lu presented
Identical-machines_scheduling
Classical quantization technique from signal processing
sparse coding models used in deep learning algorithms such as autoencoder. One simple training algorithm for vector quantization is: Pick a sample point
Vector_quantization
Technique used in signal processing and data compression
uses a hybrid DCT-FFT algorithm), Advanced Audio Coding (AAC), and Vorbis (Ogg). Nasir Ahmed also developed a lossless DCT algorithm with Giridhar Mandyam
Discrete_cosine_transform
Prediction of protein structures
updated from a current dataset, along with modifications to the initial algorithm. The Chou–Fasman method takes into account only the probability that each
Chou–Fasman_method
Usage of artificial intelligence to generate music
human cognitive processes. A prominent feature is the capability of an AI algorithm to learn from historical data, such as in computer accompaniment technology
Artificial intelligence in music
Artificial_intelligence_in_music
software packages utilize parsimony, maximum likelihood, and Bayesian algorithms to determine haplotypes. Disadvantage of statistical-inference is that
Tag_SNP
Polygonal region of all points visible from a given point in a plane
July 2012). "2d Visibility Algorithm". Retrieved 9 May 2014. Bungiu, Francisc; Hemmer, Michael; Hershberger, John; Huang, Kan; Kröller, Alexander (2014)
Visibility_polygon
AI that generates content
consumption that is estimated to be growing steadily. The origins of algorithmically generated media can be traced to the development of the Markov chain
Generative_AI
Hypothetical charge of an atom if all its bonds to different atoms were fully ionic
IUPAC recommendation and the Gold Book entry list two entirely general algorithms for the calculation of the oxidation states of elements in chemical compounds
Oxidation_state
Chinese electrical engineer
a pioneer in particle swarm optimization algorithms and the developer of brain storm optimization algorithms. He was an electrical engineer from Xi'an
Yuhui_Shi
French computer scientist (born 1960)
Bengio, Jensen Huang, Geoffrey Hinton, and Fei-Fei Li for their groundbreaking contributions to neural networks and deep learning algorithms. In 2025, he
Yann_LeCun
Heuristic test for graph isomorphism
between two graphs G and H. It is a generalization of the color refinement algorithm and has been first described by Weisfeiler and Leman in 1968. The original
Weisfeiler Leman graph isomorphism test
Weisfeiler_Leman_graph_isomorphism_test
Internet rage incitement technique
rage-baiting as a tactic against their opponents, while social media algorithms reward both positive and negative engagement, inadvertently encouraging
Rage-baiting
Class of computational fluid dynamics methods
boundaries, incorporating microscopic interactions, and parallelization of the algorithm. A different interpretation of the lattice Boltzmann equation is that
Lattice_Boltzmann_methods
Social media platform owned by Meta
a strictly chronological order to one determined by an algorithm. Instagram said the algorithm was designed so that users would see more of the photos
Statistical Markov model
maximum likelihood estimation. For linear chain HMMs, the Baum–Welch algorithm can be used to estimate parameters. Hidden Markov models are known for
Hidden_Markov_model
Development platform for rendering graphics
OptiX is a high-level, or "to-the-algorithm" API, meaning that it is designed to encapsulate the entire algorithm of which ray tracing is a part, not
Nvidia_RTX
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
HUANGS ALGORITHM
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HUANGS ALGORITHM