Chin-Wei Huang

49 papers A* 9A 2C 1Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A generative model for inorganic materials design. Nat. Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Zilong Wang, Aliaksandra Shysheya, Jonathan Crabbé, Shoko Ueda, Roberto Sordillo, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-Wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Chunlei Yang, Wenjie Li, Ryota Tomioka, Tian Xie
2025	J	`jnl`	Accurate and scalable exchange-correlation with deep learning. CoRR Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk P. Kooi, Sebastian Ehlert, Stephanie Lanius, Klaas J. H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel P. Bruinsma, Lin Huang, Xinran Wei, José Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher M. Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
2025	—	`conf`	LTCXNet: Tackling Long-Tailed Multi-label Classification and Racial Bias in Chest X-Ray Analysis. FAIMI@MICCAI Chin-Wei Huang, Chi-Yu Chen, Mu-Yi Shen, Kuan-Chang Shih, Shih-Chih Lin, Po-Chih Kuo
2025	—	`conf`	Resilient and Reliable Cloud Network Control for Mission-Critical Latency-Sensitive Applications. MILCOM Chin-Wei Huang, Jaime Llorca, Antonia M. Tulino, Andreas F. Molisch
2025	J	`jnl`	Resilient and Reliable Cloud Network Control for Mission-Critical Latency-Sensitive Service Chains. CoRR Chin-Wei Huang, Jaime Llorca, Antonia M. Tulino, Andreas F. Molisch
2024	—	`conf`	Decoding Visual Perception from EEG Using Explainable Graph Neural Network. EMBC Chin-Wei Huang, Chien-Hui Su, Po-Chih Kuo
2024	J	`jnl`	LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges. CoRR Chin-Wei Huang, Mu-Yi Shen, Kuan-Chang Shih, Shih-Chih Lin, Chi-Yu Chen, Po-Chih Kuo
2024	J	`jnl`	Using the hybrid undesirable network data envelopment analysis model to evaluate the efficiency of Taiwan's social care system. RAIRO Oper. Res. Chin-Wei Huang
2023	—	`conf`	Taiwan's Experience with Emergency Distribution of Masks dring COVID-19 Pandemic. IIAI-AAI Chin-Wei Huang, Yi-Fei Chuang
2023	J	`jnl`	Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
2022	J	`jnl`	Improving Rumor Detection by Image Captioning and Multi-Cell Bi-RNN With Self-Attention in Social Networks. Int. J. Data Warehous. Min. Jenq-Haur Wang, Chin-Wei Huang, Mehdi Norouzi
2022	A*	`conf`	Learning to Dequantise with Truncated Flows. ICLR Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville
2022	A*	`conf`	Riemannian Diffusion Models. NeurIPS Chin-Wei Huang, Milad Aghajohari, Joey Bose, Prakash Panangaden, Aaron C. Courville
2022	J	`jnl`	Riemannian Diffusion Models. CoRR Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville
2021	A*	`conf`	A Variational Perspective on Diffusion-Based Generative Models and Score Matching. NeurIPS Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville
2021	J	`jnl`	A Variational Perspective on Diffusion-Based Generative Models and Score Matching. CoRR Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville
2021	A*	`conf`	Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. ICLR Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville
2021	J	`jnl`	Using a hybrid two-stage DEA model to analyze the profitability and marketability of medical manufacturing firms. Int. Trans. Oper. Res. Chin-Wei Huang
2020	A*	`conf`	AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. ICML Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
2020	J	`jnl`	AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
2020	J	`jnl`	Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models. CoRR Chin-Wei Huang, Laurent Dinh, Aaron C. Courville
2020	J	`jnl`	Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. CoRR Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville
2020	J	`jnl`	RealCause: Realistic Causal Inference Benchmarking. CoRR Brady Neal, Chin-Wei Huang, Sunand Raghupathi
2020	A	`conf`	Stochastic Neural Network with Kronecker Flow. AISTATS Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
2019	C	`conf`	AIFood: A Large Scale Food Images Dataset for Ingredient Recognition. TENCON Gwo Giun Chris Lee, Chin-Wei Huang, Jia-Hong Chen, Shih-Yu Chen, Hsiu-Ling Chen
2019	A*	`conf`	Hierarchical Importance Weighted Autoencoders. ICML Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
2019	J	`jnl`	Hierarchical Importance Weighted Autoencoders. CoRR Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
2019	J	`jnl`	Investigating Biases in Textual Entailment Datasets. CoRR Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville
2019	J	`jnl`	Note on the bias and variance of variational inference. CoRR Chin-Wei Huang, Aaron C. Courville
2019	A	`conf`	Probability Distillation: A Caveat and Alternatives. UAI Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville
2019	—	`conf`	Reconfigurable Edge via Analytics Architecture. AICAS Shih-Yu Chen, Gwo Giun Chris Lee, Tai-Ping Wang, Chin-Wei Huang, Jia-Hong Chen, Chang-Ling Tsai
2019	J	`jnl`	Stochastic Neural Network with Kronecker Flow. CoRR Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
2019	A*	`conf`	vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. NeurIPS Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
2019	J	`jnl`	vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. CoRR Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
2018	J	`jnl`	Generating Contradictory, Neutral, and Entailing Sentences. CoRR Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron C. Courville
2018	A*	`conf`	Improving Explorability in Variational Inference with Annealed Variational Objectives. NeurIPS Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
2018	J	`jnl`	Improving Explorability in Variational Inference with Annealed Variational Objectives. CoRR Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
2018	A*	`conf`	Neural Autoregressive Flows. ICML Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville
2018	J	`jnl`	Neural Autoregressive Flows. CoRR Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville
2018	—	`conf`	Neural Language Modeling by Jointly Learning Syntax and Lexicon. ICLR (Poster) Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
2017	J	`jnl`	Bayesian Hypernetworks. CoRR David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron C. Courville
2017	J	`jnl`	Comprehensive model optimization in pulp quality prediction: a machine learning approach. PeerJ Prepr. Chin-Wei Huang, Luc Baron, Marek Balazinski, Sofiane Achiche
2017	J	`jnl`	Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville
2017	J	`jnl`	Neural Language Modeling by Jointly Learning Syntax and Lexicon. CoRR Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
2016	J	`jnl`	Using the nonhomogeneous frontier two-stage DEA model to assess the efficiencies of expense utilization and operation of the Taiwanese hotel industry. Int. Trans. Oper. Res. Chin-Wei Huang, Yung-Ho Chiu, Chien-heng Tu, Zheng-ying Luo, Zebin Wang
2012	J	`jnl`	A non-radial measure of different systems for Taiwanese tourist hotels' efficiency assessment. Central Eur. J. Oper. Res. Yung-Ho Chiu, Chin-Wei Huang, Chung-Te Ting
2011	J	`jnl`	Assessment of China transit and economic efficiencies in a modified value-chains DEA model. Eur. J. Oper. Res. Yung-Ho Chiu, Chin-Wei Huang, Chun-Mei Ma
2011	J	`jnl`	Measuring the Repair Performance for stricken Cultivated Land and Agricultural Efficiency in China with a Modified Two-Stage DEA Model. Asia Pac. J. Oper. Res. Yung-Ho Chiu, Chin-Wei Huang, Chung-Te Ting
2009	J	`jnl`	An expert system for the diagnosis of faults in rotating machinery using adaptive order-tracking algorithm. Expert Syst. Appl. Jian-Da Wu, Mingsian R. Bai, Fu-Cheng Su, Chin-Wei Huang