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2020 – today
- 2024
[c33]Yuan Ling
, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy:
KDD workshop on Evaluation and Trustworthiness of Generative AI Models. KDD 2024: 6729-6730- [c32]Yarong Feng, Zongyi Liu, Shunyan Luo, Yuan Ling, Shujing Dong, Shuyi Wang, Bruce Ferry:
Noise-Free Audio Signal Processing in Noisy Environment: A Hardware and Algorithm Solution. WACV (Workshops) 2024: 368-373 - [c31]Zongyi Liu, Yarong Feng, Shunyan Luo, Yuan Ling, Shujing Dong, Shuyi Wang:
Detecting Content Segments from Online Sports Streaming Events: Challenges and Solutions. WACV 2024: 6402-6411 - 2023
- [c30]Shunyan Luo, Yarong Feng, Zongyi Joe Liu, Yuan Ling, Shujing Dong, Bruce Ferry:
High Precision Sound Event Detection based on Transfer Learning using Transposed Convolutions and Feature Pyramid Network. ICCE 2023: 1-6 - [c29]Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy:
International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. KDD 2023: 5868-5869 - [i7]Xinli Yu, Zheng Chen, Yuan Ling, Shujing Dong, Zongyi Liu, Yanbin Lu:
Temporal Data Meets LLM - Explainable Financial Time Series Forecasting. CoRR abs/2306.11025 (2023) - 2022
- [c28]Yarong Feng, Zongyi Joe Liu, Yuan Ling, Bruce Ferry:
A Two-Stage LSTM Based Approach for Voice Activity Detection with Sound Event Classification. ICCE 2022: 1-6 - [c27]Zongyi Joe Liu, Devin Chen, Yarong Feng, Yuan Ling, Shunyan Luo, Shujing Dong, Bruce Ferry:
Detect Audio-Video Temporal Synchronization Errors in Advertisements (Ads). ICPR 2022: 16-22 - 2020
- [c26]Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Yao, Xing Fan, Chenlei Guo:
Knowledge Distillation from Internal Representations. AAAI 2020: 7350-7357 - [c25]Zheng Chen, Xing Fan, Yuan Ling:
Pre-Training for Query Rewriting in a Spoken Language Understanding System. ICASSP 2020: 7969-7973 - [c24]Yuan Ling, Benjamin Yao, Guneet Singh Kohli, Tuan-Hung Pham, Chenlei Guo:
IQ-Net: A DNN Model for Estimating Interaction-level Dialogue Quality with Conversational Agents. Converse@KDD 2020 - [i6]Zheng Chen, Xing Fan, Yuan Ling, Lambert Mathias, Chenlei Guo:
Pre-Training for Query Rewriting in A Spoken Language Understanding System. CoRR abs/2002.05607 (2020) - [i5]Zheng Chen, Xinli Yu, Yuan Ling, Xiaohua Hu:
Neural Stochastic Block Model & Scalable Community-Based Graph Learning. CoRR abs/2005.07855 (2020) - [i4]Dookun Park, Hao Yuan, Dongmin Kim, Yinglei Zhang, Spyros Matsoukas, Young-Bum Kim, Ruhi Sarikaya, Edward Guo, Yuan Ling, Kevin Quinn, Pham Hung, Benjamin Yao, Sungjin Lee:
Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents. CoRR abs/2006.07113 (2020)
2010 – 2019
- 2019
- [j2]Imon Banerjee, Yuan Ling, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian E. Chapman, Timothy Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren:
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif. Intell. Medicine 97: 79-88 (2019) - [i3]Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Yao, Xing Fan, Edward Guo:
Knowledge Distillation from Internal Representations. CoRR abs/1910.03723 (2019) - 2018
- [c23]Zheng Chen, Xinli Yu, Yuan Ling, Bo Song, Wei Quan, Xiaohua Hu, Erjia Yan:
Correlated Anomaly Detection from Large Streaming Data. IEEE BigData 2018: 982-992 - [c22]Jianliang Gao, Chuqi Lei, Ling Tian, Yuan Ling, Zheng Chen, Bo Song:
Distributed Top-k Subgraph Matching in A Big Graph. IEEE BigData 2018: 5325-5327 - [c21]Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Henning Müller, Matthew P. Lungren:
Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task. CLEF (Working Notes) 2018 - [c20]Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew P. Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin:
Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. CLEF 2018: 309-334 - [c19]Viraj Adduru, Sadid A. Hasan, Joey Liu, Yuan Ling, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification. KDH@IJCAI 2018: 45-52 - [c18]Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, Oladimeji Farri:
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. NAACL-HLT 2018: 1460-1469 - [i2]Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, Oladimeji Farri:
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. CoRR abs/1802.05577 (2018) - [i1]Zheng Chen, Xinli Yu, Yuan Ling, Bo Song, Wei Quan, Xiaohua Hu, Erjia Yan:
Correlated Anomaly Detection from Large Streaming Data. CoRR abs/1812.09387 (2018) - 2017
- [j1]Liang Kangyou, Yuan Ling, Tan Yuhang:
Harmonic analysis and detection of power system based on double moment wavelet transform. Int. J. Reason. based Intell. Syst. 9(3/4): 199-204 (2017) - [c17]Vivek V. Datla, Sadid A. Hasan, Ashequl Qadir, Kathy Lee, Yuan Ling, Joey Liu, Oladimeji Farri:
Automated clinical diagnosis: The role of content in various sections of a clinical document. BIBM 2017: 1004-1011 - [c16]Sadid A. Hasan, Yuan Ling, Joey Liu, Rithesh Sreenivasan, Shreya Anand, Tilak Raj Arora, Vivek V. Datla, Kathy Lee, Ashequl Qadir, Christine Leon Swisher, Oladimeji Farri:
PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks. CLEF (Working Notes) 2017 - [c15]Sadid A. Hasan, Yuan Ling, Joey Liu, Rithesh Sreenivasan, Shreya Anand, Tilak Raj Arora, Vivek V. Datla, Kathy Lee, Ashequl Qadir, Christine Leon Swisher, Oladimeji Farri:
Attention-Based Medical Caption Generation with Image Modality Classification and Clinical Concept Mapping. CLEF 2017: 224-230 - [c14]Yuan Ling, Sadid A. Hasan, Vivek Varma Datla, Ashequl Qadir, Kathy Lee, Joey Liu, Oladimeji Farri:
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning. IJCNLP(1) 2017: 895-905 - [c13]Yuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu:
Integrating extra knowledge into word embedding models for biomedical NLP tasks. IJCNN 2017: 968-975 - [c12]Yuan Ling, Sadid A. Hasan, Vivek V. Datla, Ashequl Qadir, Kathy Lee, Joey Liu, Oladimeji Farri:
Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study. MLHC 2017: 271-285 - [c11]Vivek V. Datla, Tilak Raj Arora, Joey Liu, Viraj Adduru, Sadid A. Hasan, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Oladimeji Farri:
Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing. TREC 2017 - [c10]Kathy Lee, Ashequl Qadir, Yuan Ling, Joey Liu, Sadid A. Hasan, Vivek V. Datla, Aaditya Prakash, Oladimeji Farri:
Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models. TREC 2017 - [c9]Yuan Ling, Sadid A. Hasan, Michele Filannino, Kevin P. Buchan, Kahyun Lee, Joey Liu, William Boag, Di Jin, Özlem Uzuner, Kathy Lee, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. TREC 2017 - 2015
- [c8]Yetian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu:
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. BIBM 2015: 49-54 - [c7]Sadid A. Hasan, Yuan Ling, Joey Liu, Oladimeji Farri:
Using Neural Embeddings for Diagnostic Inferencing in Clinical Question Answering. TREC 2015 - [c6]Sadid A. Hasan, Yuan Ling, Joey Liu, Oladimeji Farri:
Exploiting Neural Embeddings for Social Media Data Analysis. TREC 2015 - 2014
- [c5]Mengwen Liu, Yuan Ling, Yuan An, Xiaohua Hu:
Relation extraction from biomedical literature with minimal supervision and grouping strategy. BIBM 2014: 444-449 - [c4]Yuan Ling, Yuan An, Xiaohua Hu:
A matching framework for modeling symptom and medication relationships from clinical notes. BIBM 2014: 515-520 - [c3]Xiaoli Song, Yue Shang, Yuan Ling, Mengwen Liu, Xiaohua Hu:
Pairwise Topic Model via relation extraction. IEEE BigData 2014: 96-103 - 2013
- [c2]Yuan Ling, Yuan An, Mengwen Liu, Xiaohua Hu:
An error detecting and tagging framework for reducing data entry errors in electronic medical records (EMR) system. BIBM 2013: 249-254
2000 – 2009
- 2007
- [c1]Xiao-xia Wang, Yuan Ling:
Hierarchy Analysis Method for Management Information Systems. I3E (1) 2007: 507-514
Coauthor Index
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