Jing Huang

98 papers A* 12A 17B 3C 2Misc 10Journal 35Unranked 18
YearRankTypeTitle / Venue / Authors
2023 — conf
PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations.
ACL (Findings)
Peng Qi, Nina Du, Christopher D. Manning, Jing Huang
2022 B conf
Cross-modal Contrastive Distillation for Instructional Activity Anticipation.
ICPR
Zhengyuan Yang, Jingen Liu, Jing Huang, Xiaodong He, Tao Mei, Chenliang Xu, Jiebo Luo
2022 J jnl
Cross-modal Contrastive Distillation for Instructional Activity Anticipation.
CoRR
Zhengyuan Yang, Jingen Liu, Jing Huang, Xiaodong He, Tao Mei, Chenliang Xu, Jiebo Luo
2022 — conf
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs.
ACL (1)
Chao Shang, Guangtao Wang, Peng Qi, Jing Huang
2022 J jnl
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs.
CoRR
Chao Shang, Guangtao Wang, Peng Qi, Jing Huang
2022 J jnl
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences.
CoRR
Peng Qi, Guangtao Wang, Jing Huang
2022 J jnl
Video2StyleGAN: Encoding Video in Latent Space for Manipulation.
CoRR
Jiyang Yu, Jingen Liu, Jing Huang, Wei Zhang, Tao Mei
2021 J jnl
Conversational AI Systems for Social Good: Opportunities and Challenges.
CoRR
Peng Qi, Jing Huang, Youzheng Wu, Xiaodong He, Bowen Zhou
2021 A* conf
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.
AAAI
Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang
2021 — conf
Entity and Evidence Guided Document-Level Relation Extraction.
RepL4NLP@ACL-IJCNLP
Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang
2021 — conf
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification.
NAACL-HLT
Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
2021 J jnl
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification.
CoRR
Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
2021 B conf
Inductive Learning on Commonsense Knowledge Graph Completion.
IJCNN
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
2021 J jnl
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System.
CoRR
Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma
2021 A* conf
Multi-hop Attention Graph Neural Networks.
IJCAI
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
2021 — conf
Open Temporal Relation Extraction for Question Answering.
AKBC
Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou
2021 — conf
Semantic Categorization of Social Knowledge for Commonsense Question Answering.
SustaiNLP@EMNLP
Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen R. McKeown, Jing Huang
2021 J jnl
Semantic Categorization of Social Knowledge for Commonsense Question Answering.
CoRR
Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen R. McKeown, Jing Huang
2021 — conf
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks.
NAACL-HLT
Lingxiao Wang, Kevin Huang, Tengyu Ma, Quanquan Gu, Jing Huang
2020 J jnl
Direct Multi-hop Attention based Graph Neural Network.
CoRR
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
2020 J jnl
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.
CoRR
Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang
2020 J jnl
Entity and Evidence Guided Relation Extraction for DocRED.
CoRR
Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang
2020 J jnl
Graph Sequential Network for Reasoning over Sequences.
CoRR
Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou
2020 A* conf
Improving Neural Language Generation with Spectrum Control.
ICLR
Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu
2020 J jnl
Inductive Learning on Commonsense Knowledge Graph Completion.
CoRR
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
2020 A* conf
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding.
ACL
Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
2020 A* conf
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents.
AAAI
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
2020 A conf
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation Using Optimally Smoothed Spectral Mapping.
INTERSPEECH
Vinay Kothapally, Wei Xia, Shahram Ghorbani, John H. L. Hansen, Wei Xue, Jing Huang
2020 J jnl
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping.
CoRR
Vinay Kothapally, Wei Xia, Shahram Ghorbani, John H. L. Hansen, Wei Xue, Jing Huang
2020 J jnl
Speaker Diarization with Lexical Information.
CoRR
Tae Jin Park, Kyu Jeong Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis G. Georgiou, Shrikanth Narayanan
2020 Misc conf
Speaker-Invariant Affective Representation Learning via Adversarial Training.
ICASSP
Haoqi Li, Ming Tu, Jing Huang, Shrikanth Narayanan, Panayiotis G. Georgiou
2020 A* conf
Zero-Shot Text-to-SQL Learning with Auxiliary Task.
AAAI
Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
2019 Misc conf
Cross-lingual Text-independent Speaker Verification Using Unsupervised Adversarial Discriminative Domain Adaptation.
ICASSP
Wei Xia, Jing Huang, John H. L. Hansen
2019 J jnl
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation.
CoRR
Wei Xia, Jing Huang, John H. L. Hansen
2019 J jnl
Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification.
CoRR
Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou
2019 Misc conf
Deep Speaker Embedding Learning with Multi-level Pooling for Text-independent Speaker Verification.
ICASSP
Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou
2019 A* conf
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion.
AAAI
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou
2019 A conf
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences.
INTERSPEECH
Kong Aik Lee, Ville Hautamäki, Tomi H. Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Héctor Delgado, Massimiliano Todisco
2019 J jnl
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences.
CoRR
Kong Aik Lee, Ville Hautamäki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Héctor Delgado, Jose Patino, Qiongqiong Wang, Ling Guo, Takafumi Koshinaka, Jiacen Zhang, Koichi Shinoda, Trung Ngo Trong, Md. Sahidullah, Fan Lu, Yun Tang, Ming Tu, Kah Kuan Teh, Tran Huy Dat, Kuruvachan K. George, Ivan Kukanov, Florent Desnous, Jichen Yang, Emre Yilmaz, Longting Xu, Jean-François Bonastre, Chenglin Xu, Zhi Hao Lim, Eng Siong Chng, Shivesh Ranjan, John H. L. Hansen, Massimiliano Todisco, Nicholas W. D. Evans
2019 J jnl
Improving Graph Attention Networks with Large Margin-based Constraints.
CoRR
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
2019 A conf
Multi-Stride Self-Attention for Speech Recognition.
INTERSPEECH
Kyu Jeong Han, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou
2019 — conf
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs.
ACL (1)
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou
2019 J jnl
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs.
CoRR
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou
2019 J jnl
Multiple instance learning with graph neural networks.
CoRR
Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding.
CoRR
Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
2019 B conf
Relation Module for Non-Answerable Predictions on Reading Comprehension.
CoNLL
Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Relation Module for Non-answerable Prediction on Question Answering.
CoRR
Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents.
CoRR
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification.
CoRR
Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou
2019 A conf
Speaker Diarization with Lexical Information.
INTERSPEECH
Tae Jin Park, Kyu Jeong Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis G. Georgiou, Shrikanth Narayanan
2019 J jnl
Speaker-invariant Affective Representation Learning via Adversarial Training.
CoRR
Haoqi Li, Ming Tu, Jing Huang, Shrikanth S. Narayanan, Panayiotis G. Georgiou
2019 J jnl
Towards adversarial learning of speaker-invariant representation for speech emotion recognition.
CoRR
Ming Tu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Zero-shot Text-to-SQL Learning with Auxiliary Task.
CoRR
Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
2018 J jnl
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion.
CoRR
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou
2017 A conf
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction.
RecSys
Sungyong Seo, Jing Huang, Hao Yang, Yan Liu
2013 Misc conf
Audio-visual deep learning for noise robust speech recognition.
ICASSP
Jing Huang, Brian Kingsbury
2013 Misc conf
State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora.
ICASSP
Jing Huang, Peder A. Olsen, Vaibhava Goel
2012 Misc conf
Affine invariant sparse maximum a posteriori adaptation.
ICASSP
Peder A. Olsen, Jing Huang, Steven J. Rennie, Vaibhava Goel
2012 J jnl
Multi-View and Multi-Objective Semi-Supervised Learning for HMM-Based Automatic Speech Recognition.
IEEE Trans. Speech Audio Process.
Xiaodong Cui, Jing Huang, Jen-Tzung Chien
2011 Misc conf
Front-end feature transforms with context filtering for speaker adaptation.
ICASSP
Jing Huang, Karthik Visweswariah, Peder A. Olsen, Vaibhava Goel
2011 Misc conf
Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition.
ICASSP
Xiaodong Cui, Jing Huang, Jen-Tzung Chien
2011 C conf
Sparse Maximum A Posteriori adaptation.
ASRU
Peder A. Olsen, Jing Huang, Vaibhava Goel, Steven J. Rennie
2009 Misc conf
Acoustic fall detection using Gaussian mixture models and GMM supervectors.
ICASSP
Xiaodan Zhuang, Jing Huang, Gerasimos Potamianos, Mark Hasegawa-Johnson
2009 — ch.
Automatic Speech Recognition.
Computers in the Human Interaction Loop
Gerasimos Potamianos, Lori Lamel, Matthias Wölfel, Jing Huang, Etienne Marcheret, Claude Barras, Xuan Zhu, John W. McDonough, Javier Hernando, Dusan Macho, Climent Nadeu
2009 A conf
Combined discriminative training for multi-stream HMM-based audio-visual speech recognition.
INTERSPEECH
Jing Huang, Karthik Visweswariah
2009 C conf
Improved decision trees for multi-stream HMM-based audio-visual continuous speech recognition.
ASRU
Jing Huang, Karthik Visweswariah
2009 Misc conf
Long-time span acoustic activity analysis from far-field sensors in smart homes.
ICASSP
Jing Huang, Xiaodan Zhuang, Vit Libal, Gerasimos Potamianos
2007 A conf
Detection, diarization, and transcription of far-field lecture speech.
INTERSPEECH
Jing Huang, Etienne Marcheret, Karthik Visweswariah, Vit Libal, Gerasimos Potamianos
2007 A conf
Improving speaker diarization for CHIL lecture meetings.
INTERSPEECH
Jing Huang, Etienne Marcheret, Karthik Visweswariah
2007 — conf
The IBM RT07 Evaluation Systems for Speaker Diarization on Lecture Meetings.
CLEAR
Jing Huang, Etienne Marcheret, Karthik Visweswariah, Gerasimos Potamianos
2007 — conf
The IBM Rich Transcription 2007 Speech-to-Text Systems for Lecture Meetings.
CLEAR
Jing Huang, Etienne Marcheret, Karthik Visweswariah, Vit Libal, Gerasimos Potamianos
2006 — conf
The IBM RT06s Evaluation System for Speech Activity Detection in CHIL Seminars.
MLMI
Etienne Marcheret, Gerasimos Potamianos, Karthik Visweswariah, Jing Huang
2006 — conf
The IBM Rich Transcription Spring 2006 Speech-to-Text System for Lecture Meetings.
MLMI
Jing Huang, Martin Westphal, Stanley F. Chen, Olivier Siohan, Daniel Povey, Vit Libal, Alvaro Soneiro, Henrik Schulz, Thomas Ross, Gerasimos Potamianos
2005 A conf
Discriminatively trained features using fMPE for multi-stream audio-visual speech recognition.
INTERSPEECH
Jing Huang, Daniel Povey
2005 A conf
Improving lip-reading with feature space transforms for multi-stream audio-visual speech recognition.
INTERSPEECH
Jing Huang, Karthik Visweswariah
2005 A conf
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition.
ICME
Jing Huang, Etienne Marcheret, Karthik Visweswariah
2004 J jnl
Audio-visual speech recognition using an infrared headset.
Speech Commun.
Jing Huang, Gerasimos Potamianos, Jonathan Connell, Chalapathy Neti
2004 — conf
Towards practical deployment of audio-visual speech recognition.
ICASSP (3)
Gerasimos Potamianos, Chalapathy Neti, Jing Huang, Jonathan H. Connell, Stephen M. Chu, Vit Libal, Etienne Marcheret, Norman Haas, Jintao Jiang
2003 J jnl
Automatic Hierarchical Color Image Classification.
EURASIP J. Adv. Signal Process.
Jing Huang, S. Ravi Kumar, Ramin Zabih
2003 J jnl
Editorial.
EURASIP J. Adv. Signal Process.
Jing Huang, Mukund Padmanabhan, Savitha Srinivasan
2003 A conf
Impact of audio segmentation and segment clustering on automated transcription accuracy of large spoken archives.
INTERSPEECH
Bhuvana Ramabhadran, Jing Huang, Upendra V. Chaudhari, Giridharan Iyengar, Harriet J. Nock
2003 — conf
Improving audio-visual speech recognition with an infrared headset.
AVSP
Jing Huang, Gerasimos Potamianos, Chalapathy Neti
2003 — conf
Towards automatic transcription of large spoken archives - English ASR for the MALACH project.
ICASSP (1)
Bhuvana Ramabhadran, Jing Huang, Michael Picheny
2002 J jnl
Automatic speech recognition performance on a voicemail transcription task.
IEEE Trans. Speech Audio Process.
Mukund Padmanabhan, George Saon, Jing Huang, Brian Kingsbury, Lidia Mangu
2002 A conf
Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model.
INTERSPEECH
Jing Huang, Vaibhava Goel, Ramesh Gopinath, Brian Kingsbury, Peder A. Olsen, Karthik Visweswariah
2002 A conf
Maximum entropy model for punctuation annotation from speech.
INTERSPEECH
Jing Huang, Geoffrey Zweig
2001 — conf
Extracting Caller Information from Voicemail.
SIGIR Workshop: Information Retrieval Techniques for Speech Applications
Jing Huang, Geoffrey Zweig, Mukund Padmanabhan
2001 A conf
Extracting caller information from voicemail.
INTERSPEECH
Geoffrey Zweig, Jing Huang, Mukund Padmanabhan
2001 A* conf
Information Extraction from Voicemail.
ACL
Jing Huang, Geoffrey Zweig, Mukund Padmanabhan
2000 A conf
Multistage coarticulation model combining articulatory, formant and cepstral features.
INTERSPEECH
Yuqing Gao, Raimo Bakis, Jing Huang, Bing Xiang
2000 A conf
Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard).
INTERSPEECH
Jing Huang, Brian Kingsbury, Lidia Mangu, Mukund Padmanabhan, George Saon, Geoffrey Zweig
1999 — conf
A study of adaptation techniques on a voicemail transcription task.
EUROSPEECH
Jing Huang, Mukund Padmanabhan
1999 — conf
Recent improvements in voicemail transcription.
EUROSPEECH
Mukund Padmanabhan, George Saon, Sankar Basu, Jing Huang, Geoffrey Zweig
1999 J jnl
Spatial Color Indexing and Applications.
Int. J. Comput. Vis.
Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih
1998 A* conf
An Automatic Hierarchical Image Classification Scheme.
ACM Multimedia
Jing Huang, Ravi Kumar, Ramin Zabih
1998 A* conf
Spatial Color Indexing and Applications.
ICCV
Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu
1997 A* conf
Combining Supervised Learning with Color Correlograms for Content-Based Image Retrieval.
ACM Multimedia
Jing Huang, Ravi Kumar, Mandar Mitra
1997 A* conf
Image Indexing Using Color Correlograms.
CVPR
Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih