Victor O. K. Li
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Victor O. K. Li's AcademicInfluence.com Rankings
Victor O. K. Liengineering Degrees
Engineering
#8628
World Rank
#10213
Historical Rank
Electrical Engineering
#2700
World Rank
#2839
Historical Rank
Victor O. K. Licomputer-science Degrees
Computer Science
#11700
World Rank
#12428
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Computational Linguistics
#2961
World Rank
#2995
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Machine Learning
#5381
World Rank
#5451
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Artificial Intelligence
#5800
World Rank
#5888
Historical Rank
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Engineering Computer Science
Victor O. K. Li's Degrees
- PhD Electrical Engineering Stanford University
- Masters Electrical Engineering Stanford University
Why Is Victor O. K. Li Influential?
(Suggest an Edit or Addition)Victor O. K. Li's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Incorporating Copying Mechanism in Sequence-to-Sequence Learning (2016) (1367)
- Non-Autoregressive Neural Machine Translation (2017) (430)
- Universal Neural Machine Translation for Extremely Low Resource Languages (2018) (227)
- Meta-Learning for Low-Resource Neural Machine Translation (2018) (181)
- Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks (2018) (167)
- Learning to Translate in Real-time with Neural Machine Translation (2016) (154)
- A Teacher-Student Framework for Zero-Resource Neural Machine Translation (2017) (131)
- Search Engine Guided Neural Machine Translation (2018) (113)
- Task Allocation in Spatial Crowdsourcing: Current State and Future Directions (2018) (89)
- Multi-Region Ensemble Convolutional Neural Network for Facial Expression Recognition (2018) (86)
- Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations (2019) (67)
- Video-based Emotion Recognition Using Deeply-Supervised Neural Networks (2018) (61)
- Trainable Greedy Decoding for Neural Machine Translation (2017) (59)
- A review on health cost accounting of air pollution in China. (2018) (53)
- Effects of China's current Air Pollution Prevention and Control Action Plan on air pollution patterns, health risks and mortalities in Beijing 2014-2018. (2020) (50)
- The Effects of Outdoor Air Pollution Concentrations and Lockdowns on Covid-19 Infections in Wuhan and Other Provincial Capitals in China (2020) (48)
- FreeSense: A Robust Approach for Indoor Human Detection Using Wi-Fi Signals (2018) (43)
- Search Engine Guided Non-Parametric Neural Machine Translation (2017) (42)
- Air pollution and environmental injustice: Are the socially deprived exposed to more PM2.5 pollution in Hong Kong? (2018) (40)
- Air pollution and environmental injustice: Are the socially deprived exposed to more PM2.5 pollution in Hong Kong? (2018) (40)
- pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data (2016) (39)
- Facial Expression Recognition With Deeply-Supervised Attention Network (2020) (36)
- Smart demand response in China: Challenges and drivers (2017) (35)
- Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation (2020) (34)
- Zero-Resource Neural Machine Translation with Multi-Agent Communication Game (2018) (32)
- Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution (2020) (32)
- CrowdTracker: Optimized Urban Moving Object Tracking Using Mobile Crowd Sensing (2018) (30)
- Spatio-temporal (S-T) similarity model for constructing WIFI-based RSSI fingerprinting map for indoor localization (2014) (29)
- Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data (2017) (27)
- A Stable and Effective Learning Strategy for Trainable Greedy Decoding (2018) (27)
- Large Margin Few-Shot Learning (2018) (25)
- A Gaussian Bayesian model to identify spatio-temporal causalities for air pollution based on urban big data (2016) (24)
- A CNN-LSTM Model for Traffic Speed Prediction (2020) (24)
- Synchrophasor Recovery and Prediction: A Graph-Based Deep Learning Approach (2019) (23)
- Neural Machine Translation with Gumbel-Greedy Decoding (2017) (23)
- Drivers of domestic electricity users’ price responsiveness: A novel machine learning approach (2019) (20)
- A Bayesian LSTM model to evaluate the effects of air pollution control regulations in Beijing, China (2021) (20)
- A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast (2022) (18)
- Deep-AIR: A Hybrid CNN-LSTM Framework forFine-Grained Air Pollution Forecast (2020) (17)
- Optimal Citizen-Centric Sensor Placement for Air Quality Monitoring: A Case Study of City of Cambridge, the United Kingdom (2019) (16)
- Stakeholder concerns of air pollution in Hong Kong and policy implications: A big-data computational text analysis approach (2019) (16)
- FreeSense (2018) (15)
- Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance (2021) (13)
- Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks (2019) (13)
- A Bayesian LSTM Model to Evaluate the Effects of Air Pollution Control Regulations in China (2018) (12)
- CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data (2018) (12)
- Can smart energy information interventions help householders save electricity? A SVR machine learning approach (2020) (12)
- A novel deep learning-based 3D cell segmentation framework for future image-based disease detection (2022) (11)
- WIFI fingerprinting indoor localization system based on spatio-temporal (S-T) metrics (2014) (10)
- ResNet-LSTM for Real-Time PM2.5 and PM₁₀ Estimation Using Sequential Smartphone Images (2020) (10)
- Low-rank singular value thresholding for recovering missing air quality data (2017) (10)
- How BLUE is the Sky? Estimating air qualities in Beijing during the Blue Sky Day period (2008–2012) by Bayesian Multi-task LSTM (2021) (9)
- Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet (2021) (9)
- A Novel Interpolation-SVT Approach for Recovering Missing Low-Rank Air Quality Data (2020) (9)
- On the Sparsity of Neural Machine Translation Models (2020) (7)
- A Big Data and Artificial Intelligence Framework for Smart and Personalized Air Pollution Monitoring and Health Management in Hong Kong (2021) (7)
- Demographic effects on facial emotion expression: an interdisciplinary investigation of the facial action units of happiness (2021) (7)
- Putative Blood Somatic Mutations in Post-Traumatic Stress Disorder-Symptomatic Soldiers: High Impact of Cytoskeletal and Inflammatory Proteins. (2021) (6)
- A five-layer architecture for big data processing and analytics (2019) (6)
- Large Margin Meta-Learning for Few-Shot Classification (2018) (6)
- In search of bluer skies: Would people move to places of better air qualities? (2021) (6)
- A Four-Layer Architecture for Online and Historical Big Data Analytics (2016) (5)
- Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder (2022) (5)
- AI for Social Good: AI and Big Data Approaches for Environmental Decision-Making (2021) (5)
- A Gain With No Pain: Exploring Intelligent Traffic Signal Control for Emergency Vehicles (2022) (5)
- Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning (2018) (4)
- SIFT-type descriptors for sparse-representation-based classification (2014) (4)
- AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data (2021) (4)
- UMeAir: Predicting Momentary Happiness Towards Air Quality via Machine Learning (2018) (3)
- Outdoor PM2.5 concentration and rate of change in COVID-19 infection in provincial capital cities in China (2020) (3)
- Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities (2021) (3)
- Deep-AIR: A Hybrid CNN-LSTM Framework for Fine-grained Air Pollution Estimation and Forecast in Metropolitan Cities (2022) (3)
- Siamese-Like Convolutional Neural Network for Fine-Grained Income Estimation of Developed Economies (2020) (3)
- A novel machine learning approach for identifying the drivers of domestic electricity users’ price responsiveness (2018) (3)
- Unsupervised Domain Adaptation with Generative Adversarial Networks for Facial Emotion Recognition (2018) (2)
- A novel deep learning-based 3D cell segmentation framework for future image-based disease detection (2022) (2)
- Household wealth proxies for socio-economic inequality policy studies in China (2020) (2)
- Optimal Citizen-Centric Sensor Placement for Citywide Environmental Monitoring - A Submodular Approach (2018) (1)
- Sparse representation based classification by using PCA-SIFT descriptors (2014) (1)
- Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)–Driven Approach for Early Diagnosis of Late-Onset Alzheimer’s Disease (2021) (1)
- Improved short adjacent repeat identification using three evolutionary Monte Carlo schemes (2013) (1)
- A Comparative Study of Air Pollution Trends in Historical London and Contemporary Beijing (2019) (1)
- An Evolutionary Monte Carlo algorithm for identifying short adjacent repeats in multiple sequences (2010) (1)
- Guided Sequence-to-Sequence Learning with External Rule Memory (2016) (1)
- The Future of Wind Energy Development in China (2017) (1)
- Title An evolutionary Monte Carlo algorithm for identifying shortadjacent repeats in multiple sequences (2011) (0)
- Optimization of Urban Heating Network Design Using Genetic Algorithm (2018) (0)
- CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data (2017) (0)
- Distilling Deep Structural Facial Relationships for FAU Intensity Estimation (2021) (0)
- UMeAir (2018) (0)
- How BLUE is the Sky? Estimating the Air Quality Data in Beijing During the Blue Sky Day Period (2008-2012) by the Bayesian LSTM Approach (2019) (0)
- What dictates income in New York City? SHAP analysis of income estimation based on Socio-economic and Spatial Information Gaussian Processes (SSIG) (2023) (0)
- Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network (2023) (0)
- Title Learning to translate in real-time with neural machine translation (2017) (0)
- Click-through-Based Word Embedding for Large Scale Image Retrieval (2016) (0)
- Trust in Government and Effective Nuclear Safety Governance in Great Britain (2018) (0)
- Efficient Learning for Undirected Topic Models (2015) (0)
- In Search of A Better Land: Would People Move to A Country with Better Air Quality? A Global Survey Based on Twitter Data (2018) (0)
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What Schools Are Affiliated With Victor O. K. Li?
Victor O. K. Li is affiliated with the following schools:
