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ORCIDXiaodong He 0001
Person information
- affiliation: JD AI Research, Beijing, China
- affiliation (2003 - 2018): Microsoft Corporation, Redmond, WA, USA
- affiliation (PhD 2003): University of Missouri-Columbia, MO, USA
- affiliation (1996 - 1999): Chinese Academy of Sciences, Beijing, China
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Xiaodong He — disambiguation page
- Xiaodong He 0003
![[0000-0003-0457-5664]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0457-5664")
— Peking University, Department of Mechanics and Engineering Science, State Key Laboratory for Turbulence and Complex Systems, Beijing, China - Xiaodong He 0004 — Beijing BeYes Technology Co. Ltd., Bodhi Laboratory, Beijing, China (and 1 more)
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Books and Theses
- 2022
[b2]Qi Wu, Peng Wang, Xin Wang, Xiaodong He, Wenwu Zhu:
Visual Question Answering - From Theory to Application. Advances in Computer Vision and Pattern Recognition, Springer 2022, ISBN 978-981-19-0963-4, pp. 1-236- 2008
- [b1]Xiaodong He, Li Deng:
Discriminative Learning for Speech Recognition: Theory and Practice. Synthesis Lectures on Speech and Audio Processing, Morgan & Claypool Publishers 2008, ISBN 978-3-031-01429-1
Journal Articles
- 2024
- [j24]Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Conghui Zhu, Tiejun Zhao:
An efficient confusing choices decoupling framework for multi-choice tasks over texts. Neural Comput. Appl. 36(1): 259-271 (2024) - [j23]Yongwei Zhou, Junwei Bao, Youzheng Wu, Xiaodong He, Tiejun Zhao:
Operation-Augmented Numerical Reasoning for Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. 32: 15-28 (2024) - 2023
- [j22]Ya-Jie Zhang, Chao Zhang, Wei Song, Zhengchen Zhang, Youzheng Wu, Xiaodong He:
Prosody Modelling With Pre-Trained Cross-Utterance Representations for Improved Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2812-2823 (2023) - 2021
- [j21]Jia Jia, Wei Chen, Kai Yu, Xiaodong He, Jun Du, Heung-Yeung Shum:
The practice of speech and language processing in China. Commun. ACM 64(11): 81-87 (2021) - 2020
- [j20]Xiaodong He, Li Deng, Richard Rose, Minlie Huang, Isabel Trancoso, Chao Zhang:
Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals. IEEE J. Sel. Top. Signal Process. 14(3): 474-477 (2020) - [j19]Chao Zhang, Zichao Yang, Xiaodong He, Li Deng:
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications. IEEE J. Sel. Top. Signal Process. 14(3): 478-493 (2020) - 2019
- [j18]Yatong Sun, Guibing Guo, Xiaodong He, Xiaohua Liu:
Multi-Level Coupling Network for Non-IID Sequential Recommendation. IEEE Access 7: 186247-186259 (2019) - [j17]Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Meng Chen, Zhijie Qiu, Xiaodong He:
Another AI? Artificial Imagination for Artistic Mind Map Generation. Int. J. Multim. Data Eng. Manag. 10(3): 47-63 (2019) - 2018
- [j16]Heung-Yeung Shum, Xiaodong He, Di Li:
From Eliza to XiaoIce: challenges and opportunities with social chatbots. Frontiers Inf. Technol. Electron. Eng. 19(1): 10-26 (2018) - 2017
- [j15]Qun Liu, Xiaodong He, Hermann Ney:
Editorial. Mach. Transl. 31(1-2): 1-2 (2017) - [j14]Xiaodong He, Li Deng:
Deep Learning for Image-to-Text Generation: A Technical Overview. IEEE Signal Process. Mag. 34(6): 109-116 (2017) - 2016
- [j13]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - 2015
- [j12]Haizhou Li, Marcello Federico, Xiaodong He, Helen M. Meng, Isabel Trancoso:
Introduction to the Special Section on Continuous Space and Related Methods in Natural Language Processing. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 427-430 (2015) - [j11]Grégoire Mesnil, Yann N. Dauphin, Kaisheng Yao, Yoshua Bengio, Li Deng, Dilek Hakkani-Tür, Xiaodong He, Larry P. Heck, Gökhan Tür, Dong Yu, Geoffrey Zweig:
Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 530-539 (2015) - 2013
- [j10]Xiaodong He, Li Deng:
Speech-Centric Information Processing: An Optimization-Oriented Approach. Proc. IEEE 101(5): 1116-1135 (2013) - [j9]Stephen J. Wright, Dimitri Kanevsky, Li Deng, Xiaodong He, Georg Heigold, Haizhou Li:
Optimization Algorithms and Applications for Speech and Language Processing. IEEE Trans. Speech Audio Process. 21(11): 2231-2243 (2013) - 2011
- [j8]Xiaodong He, Li Deng:
Speech Recognition, Machine Translation, and Speech Translation - A Unified Discriminative Learning Paradigm [Lecture Notes]. IEEE Signal Process. Mag. 28(5): 126-133 (2011) - 2010
- [j7]Xiaodong He, Li Deng, Roland Kuhn, Helen M. Meng, Samy Bengio:
Introduction to the Issue on Statistical Learning Methods for Speech and Language Processing. IEEE J. Sel. Top. Signal Process. 4(6): 913-916 (2010) - 2009
- [j6]Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore:
Improved Monolingual Hypothesis Alignment for Machine Translation System Combination. ACM Trans. Asian Lang. Inf. Process. 8(2): 6:1-6:19 (2009) - 2008
- [j5]Dong Yu, Li Deng, Xiaodong He, Alex Acero:
Large-margin minimum classification error training: A theoretical risk minimization perspective. Comput. Speech Lang. 22(4): 415-429 (2008) - [j4]Xiaodong He, Li Deng, Wu Chou:
Discriminative learning in sequential pattern recognition. IEEE Signal Process. Mag. 25(5): 14-36 (2008) - 2007
- [j3]Xiaodong He, Yunxin Zhao:
Prior knowledge guided maximum expected likelihood based model selection and adaptation for nonnative speech recognition. Comput. Speech Lang. 21(2): 247-265 (2007) - [j2]Xiaodong He, Li Deng:
A new look at discriminative training for hidden Markov models. Pattern Recognit. Lett. 28(11): 1285-1294 (2007) - 2003
- [j1]Xiaodong He, Yunxin Zhao:
Fast model selection based speaker adaptation for nonnative speech. IEEE Trans. Speech Audio Process. 11(4): 298-307 (2003)
Conference and Workshop Papers
- 2023
- [c200]Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li:
MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding. AAAI 2023: 8032-8040 - [c199]Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He:
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. ACL (Findings) 2023: 520-534 - [c198]Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He:
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation. ACL (1) 2023: 2812-2831 - [c197]Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He:
Dialog-Post: Multi-Level Self-Supervised Objectives and Hierarchical Model for Dialogue Post-Training. ACL (1) 2023: 10134-10148 - [c196]Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He:
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets. ACL (Findings) 2023: 10538-10549 - [c195]Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He:
Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog. ACL (Findings) 2023: 11139-11160 - [c194]Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He:
POSPAN: Position-Constrained Span Masking for Language Model Pre-training. CIKM 2023: 4420-4424 - [c193]Li Fu, Siqi Li, Qingtao Li, Liping Deng, Fangzhu Li, Lu Fan, Meng Chen, Xiaodong He:
UFO2: A Unified Pre-Training Framework for Online and Offline Speech Recognition. ICASSP 2023: 1-5 - [c192]Peiying Wang, Chaoqun Duan, Meng Chen, Xiaodong He:
Improving Disfluency Detection with Multi-Scale Self Attention and Contrastive Learning. ICASSP 2023: 1-5 - [c191]Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li:
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation. ICML 2023: 23033-23044 - 2022
- [c190]Chen Li, Xiaoguang Yu, Shuangyong Song, Jia Wang, Bo Zou, Xiaodong He:
SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract). AAAI 2022: 12997-12998 - [c189]Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He:
A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract). AAAI 2022: 13113-13114 - [c188]Jing Zhao, Yifan Wang, Junwei Bao, Youzheng Wu, Xiaodong He:
Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT. ACL (1) 2022: 4811-4820 - [c187]Yuquan Le, Yuming Zhao, Meng Chen, Zhe Quan, Xiaodong He, Kenli Li:
Legal Charge Prediction via Bilinear Attention Network. CIKM 2022: 1024-1033 - [c186]Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He:
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL. CIKM 2022: 2250-2259 - [c185]Yang Sun, Liangqing Wu, Shuangyong Song, Xiaoguang Yu, Xiaodong He, Guohong Fu:
Tracking Satisfaction States for Customer Satisfaction Prediction in E-commerce Service Chatbots. COLING 2022: 616-625 - [c184]Ruixue Liu, Shaozu Yuan, Aijun Dai, Lei Shen, Tiangang Zhu, Meng Chen, Xiaodong He:
Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline. COLING 2022: 3741-3752 - [c183]Shuangyong Song, Bo Zou, Jianghua Lin, Xiaoguang Yu, Xiaodong He:
Beyond QA: 'Heuristic QA' Strategies in JIMI. DASFAA (3) 2022: 425-429 - [c182]Hongyan Xie, Haoxiang Su, Shuangyong Song, Hao Huang, Bo Zou, Kun Deng, Jianghua Lin, Zhihui Zhang, Xiaodong He:
Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking. EMNLP 2022: 876-889 - [c181]Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He:
PRINCE: Prefix-Masked Decoding for Knowledge Enhanced Sequence-to-Sequence Pre-Training. EMNLP 2022: 2675-2681 - [c180]Junwei Bao, Yifan Wang, Ying Jiangyong, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He:
P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. EMNLP (Findings) 2022: 6663-6675 - [c179]Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering. EMNLP (Findings) 2022: 6687-6697 - [c178]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation. EMNLP 2022: 7494-7507 - [c177]Nan Zhao, Haoran Li, Youzheng Wu, Xiaodong He:
JDDC 2.1: A Multimodal Chinese Dialogue Dataset with Joint Tasks of Query Rewriting, Response Generation, Discourse Parsing, and Summarization. EMNLP 2022: 12037-12051 - [c176]Zexun Wang, Yuquan Le, Yi Zhu, Yuming Zhao, Mingchao Feng, Meng Chen, Xiaodong He:
Building Robust Spoken Language Understanding by Cross Attention Between Phoneme Sequence and ASR Hypothesis. ICASSP 2022: 7147-7151 - [c175]Jiudong Yang, Peiying Wang, Yi Zhu, Mingchao Feng, Meng Chen, Xiaodong He:
Gated Multimodal Fusion with Contrastive Learning for Turn-Taking Prediction in Human-Robot Dialogue. ICASSP 2022: 7747-7751 - [c174]Shaozu Yuan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He:
SE-GAN: Skeleton Enhanced Gan-Based Model for Brush Handwriting Font Generation. ICME 2022: 1-6 - [c173]Zhengyuan Yang, Jingen Liu, Jing Huang, Xiaodong He, Tao Mei, Chenliang Xu, Jiebo Luo:
Cross-modal Contrastive Distillation for Instructional Activity Anticipation. ICPR 2022: 5002-5009 - [c172]Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He:
Learning to Generate Poetic Chinese Landscape Painting with Calligraphy. IJCAI 2022: 5019-5022 - [c171]Li Fu, Xiaoxiao Li, Runyu Wang, Lu Fan, Zhengchen Zhang, Meng Chen, Youzheng Wu, Xiaodong He:
SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition. INTERSPEECH 2022: 1006-1010 - [c170]Yi Zhu, Zexun Wang, Hang Liu, Peiying Wang, Mingchao Feng, Meng Chen, Xiaodong He:
Cross-modal Transfer Learning via Multi-grained Alignment for End-to-End Spoken Language Understanding. INTERSPEECH 2022: 1131-1135 - [c169]Meihuizi Jia, Ruixue Liu, Peiying Wang, Yang Song, Zexi Xi, Haobin Li, Xin Shen, Meng Chen, Jinhui Pang, Xiaodong He:
E-ConvRec: A Large-Scale Conversational Recommendation Dataset for E-Commerce Customer Service. LREC 2022: 5787-5796 - [c168]Meihuizi Jia, Xin Shen, Lei Shen, Jinhui Pang, Lejian Liao, Yang Song, Meng Chen, Xiaodong He:
Query Prior Matters: A MRC Framework for Multimodal Named Entity Recognition. ACM Multimedia 2022: 3549-3558 - [c167]Zhenyu Zhang, Yuming Zhao, Meng Chen, Xiaodong He:
Label Anchored Contrastive Learning for Language Understanding. NAACL-HLT 2022: 1437-1449 - [c166]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao:
OPERA: Operation-Pivoted Discrete Reasoning over Text. NAACL-HLT 2022: 1655-1666 - [c165]Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu:
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. NAACL-HLT 2022: 2055-2078 - [c164]Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He:
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog. NAACL-HLT (Findings) 2022: 2156-2170 - [c163]Yifan Wang, Jing Zhao, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He:
LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking. NAACL-HLT 2022: 3319-3328 - [c162]Haoran Li, Peng Yuan, Haoning Zhang, Weikang Li, Song Xu, Youzheng Wu, Xiaodong He:
Overview of the NLPCC 2022 Shared Task on Multimodal Product Summarization. NLPCC (2) 2022: 300-307 - [c161]Zhenhe Wu, Liangqing Wu, Shuangyong Song, Jiahao Ji, Bo Zou, Zhoujun Li, Xiaodong He:
DialCSP: A Two-Stage Attention-Based Model for Customer Satisfaction Prediction in E-commerce Customer Service. ECML/PKDD (3) 2022: 3-18 - [c160]Jinhui Pang, Huinan Xu, Shuangyong Song, Bo Zou, Xiaodong He:
MFDG: A Multi-Factor Dialogue Graph Model for Dialogue Intent Classification. ECML/PKDD (2) 2022: 691-706 - [c159]Shuangyong Song, Xiangyan Chen, Chao Wang, Xiaoguang Yu, Jia Wang, Xiaodong He:
A Two-stage User Intent Detection Model on Complicated Utterances with Multi-task Learning. WWW (Companion Volume) 2022: 197-200 - 2021
- [c158]Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He:
RevCore: Review-Augmented Conversational Recommendation. ACL/IJCNLP (Findings) 2021: 1161-1173 - [c157]Li Fu, Xiaoxiao Li, Libo Zi, Zhengchen Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Incremental Learning for End-to-End Automatic Speech Recognition. ASRU 2021: 320-327 - [c156]Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, Bowen Zhou:
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce. EMNLP (Findings) 2021: 1-17 - [c155]Jing Zhao, Junwei Bao, Yifan Wang, Yongwei Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou:
RoR: Read-over-Read for Long Document Machine Reading Comprehension. EMNLP (Findings) 2021: 1862-1872 - [c154]Haoran Li, Song Xu, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization. EMNLP (1) 2021: 4091-4101 - [c153]Guanghui Xu, Wei Song, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou:
Improving Prosody Modelling with Cross-Utterance Bert Embeddings for End-to-End Speech Synthesis. ICASSP 2021: 6079-6083 - [c152]Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou:
Neural Kalman Filtering for Speech Enhancement. ICASSP 2021: 7108-7112 - [c151]Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou:
Conversational Query Rewriting with Self-Supervised Learning. ICASSP 2021: 7628-7632 - [c150]Wei Song, Xin Yuan, Zhengchen Zhang, Chao Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Dian: Duration Informed Auto-Regressive Network for Voice Cloning. ICASSP 2021: 8598-8602 - [c149]Tong Shen, Jiawei Zuo, Fan Shi, Jin Zhang, Liqin Jiang, Meng Chen, Zhengchen Zhang, Wei Zhang, Xiaodong He, Tao Mei:
ViDA-MAN: Visual Dialog with Digital Humans. ACM Multimedia 2021: 2789-2791 - [c148]Shaozu Yuan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He:
Learning to Compose Stylistic Calligraphy Artwork with Emotions. ACM Multimedia 2021: 3701-3709 - [c147]Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou:
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. NAACL-HLT 2021: 2884-2894 - [c146]Jing Zhao, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
SGG: Learning to Select, Guide, and Generate for Keyphrase Generation. NAACL-HLT 2021: 5717-5726 - [c145]Jiahui Liang, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
CUSTOM: Aspect-Oriented Product Summarization for E-Commerce. NLPCC (2) 2021: 124-136 - [c144]Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension. NLPCC (1) 2021: 439-452 - 2020
- [c143]Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Zero-Shot Text-to-SQL Learning with Auxiliary Task. AAAI 2020: 7488-7495 - [c142]Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou:
Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products. AAAI 2020: 8188-8195 - [c141]Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He:
Keywords-Guided Abstractive Sentence Summarization. AAAI 2020: 8196-8203 - [c140]Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou:
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. AAAI 2020: 9073-9080 - [c139]Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He, Bowen Zhou:
Self-Attention Guided Copy Mechanism for Abstractive Summarization. ACL 2020: 1355-1362 - [c138]Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou:
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. ACL 2020: 2713-2722 - [c137]Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He, Chengqing Zong:
Multimodal Sentence Summarization via Multimodal Selective Encoding. COLING 2020: 5655-5667 - [c136]Peng Yuan, Haoran Li, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou:
On the Faithfulness for E-commerce Product Summarization. COLING 2020: 5712-5717 - [c135]Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training. COLING 2020: 5799-5809 - [c134]Yuquan Le, Congqing He, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou:
Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network. ECAI 2020: 1802-1809 - [c133]Ruosong Yang, Jiannong Cao, Zhiyuan Wen, Youzheng Wu, Xiaodong He:
Enhancing Automated Essay Scoring Performance via Cohesion Measurement and Combination of Regression and Ranking. EMNLP (Findings) 2020: 1560-1569 - [c132]Tiangang Zhu, Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou:
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product. EMNLP (1) 2020: 2129-2139 - [c131]Wei Song, Guanghui Xu, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou:
Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed. INTERSPEECH 2020: 225-229 - [c130]Ying Tong, Wei Xue, Shanluo Huang, Lu Fan, Chao Zhang, Guohong Ding, Xiaodong He:
The JD AI Speaker Verification System for the FFSVC 2020 Challenge. INTERSPEECH 2020: 3476-3480 - [c129]Wei Xue, Ying Tong, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou:
Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning. INTERSPEECH 2020: 5091-5095 - [c128]Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou:
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service. LREC 2020: 459-466 - [c127]Ruixue Liu, Shaozu Yuan, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He:
MaLiang: An Emotion-driven Chinese Calligraphy Artwork Composition System. ACM Multimedia 2020: 4394-4396 - [c126]Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He:
Group Contextual Encoding for 3D Point Clouds. NeurIPS 2020 - [c125]Ruixue Liu, Meng Chen, Hang Liu, Lei Shen, Yang Song, Xiaodong He:
Enhancing Multi-turn Dialogue Modeling with Intent Information for E-Commerce Customer Service. NLPCC (1) 2020: 65-77 - [c124]Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He:
AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. SIGIR 2020: 2448-2450 - 2019
- [c123]Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning. AAAI 2019: 1344-1351 - [c122]Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. AAAI 2019: 3060-3067 - [c121]Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He:
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. AAAI 2019: 8465-8472 - [c120]Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou:
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. ACL (1) 2019: 2704-2713 - [c119]Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Relation Module for Non-Answerable Predictions on Reading Comprehension. CoNLL 2019: 747-756 - [c118]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-Driven Text-To-Image Synthesis via Adversarial Training. CVPR 2019: 12174-12182 - [c117]Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou:
Deep Speaker Embedding Learning with Multi-level Pooling for Text-independent Speaker Verification. ICASSP 2019: 6116-6120 - [c116]Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu:
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. IJCAI 2019: 1373-1379 - [c115]Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He:
Discrete Trust-aware Matrix Factorization for Fast Recommendation. IJCAI 2019: 1380-1386 - [c114]Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun:
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling. IJCAI 2019: 5356-5362 - [c113]Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He:
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. IJCAI 2019: 6545-6547 - [c112]Tae Jin Park, Kyu Jeong Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis G. Georgiou, Shrikanth Narayanan:
Speaker Diarization with Lexical Information. INTERSPEECH 2019: 391-395 - [c111]Wei Xue, Ying Tong, Guohong Ding, Chao Zhang, Tao Ma, Xiaodong He, Bowen Zhou:
Direct-Path Signal Cross-Correlation Estimation for Sound Source Localization in Reverberation. INTERSPEECH 2019: 2693-2697 - [c110]Kyu Jeong Han, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou:
Multi-Stride Self-Attention for Speech Recognition. INTERSPEECH 2019: 2788-2792 - [c109]Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu, Xiaodong He:
From Knowledge Map to Mind Map: Artificial Imagination. MIPR 2019: 496-501 - [c108]Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun:
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations. NeurIPS 2019: 6847-6857 - [c107]Xiaoyu Guo, Meng Chen, Yang Song, Xiaodong He, Bowen Zhou:
Automated Thematic and Emotional Modern Chinese Poetry Composition. NLPCC (1) 2019: 433-446 - 2018
- [c106]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Question-Answering with Grammatically-Interpretable Representations. AAAI 2018: 5350-5357 - [c105]William Yang Wang, Jiwei Li, Xiaodong He:
Deep Reinforcement Learning for NLP. ACL (5) 2018: 19-21 - [c104]Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He:
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. CVPR 2018: 1316-1324 - [c103]Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. CVPR 2018: 4223-4232 - [c102]Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang:
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise. CVPR 2018: 5447-5456 - [c101]Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang:
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. CVPR 2018: 6077-6086 - [c100]Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He:
Stacked Cross Attention for Image-Text Matching. ECCV (4) 2018: 212-228 - [c99]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP 2018: 2442-2452 - [c98]Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He:
On the Discrimination-Generalization Tradeoff in GANs. ICLR (Poster) 2018 - [c97]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. NAACL-HLT 2018: 173-184 - [c96]Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He:
Natural Language to Structured Query Generation via Meta-Learning. NAACL-HLT (2) 2018: 732-738 - [c95]Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu:
Tensor Product Generation Networks for Deep NLP Modeling. NAACL-HLT 2018: 1263-1273 - [c94]Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi:
Deep Communicating Agents for Abstractive Summarization. NAACL-HLT 2018: 1662-1675 - 2017
- [c93]Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng:
StyleNet: Generating Attractive Visual Captions with Styles. CVPR 2017: 955-964 - [c92]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CVPR 2017: 1141-1150 - [c91]Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos:
Deep Learning with Low Precision by Half-Wave Gaussian Quantization. CVPR 2017: 5406-5414 - [c90]David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. EMNLP 2017: 835-844 - [c89]Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin:
Learning Generic Sentence Representations Using Convolutional Neural Networks. EMNLP 2017: 2390-2400 - [c88]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level deep conflation for business data analytics. ICASSP 2017: 2222-2226 - [c87]Kevin Lin, Dianqi Li, Xiaodong He, Ming-Ting Sun, Zhengyou Zhang:
Adversarial Ranking for Language Generation. NIPS 2017: 3155-3165 - 2016
- [c86]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with a Natural Language Action Space. ACL (1) 2016 - [c85]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. ACL (1) 2016 - [c84]Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola:
Stacked Attention Networks for Image Question Answering. CVPR 2016: 21-29 - [c83]Kenneth Tran, Xiaodong He, Lei Zhang, Jian Sun:
Rich Image Captioning in the Wild. CVPR Workshops 2016: 434-441 - [c82]Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao:
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. ECCV (3) 2016: 87-102 - [c81]Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao:
MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World. IMAWM 2016: 1-6 - [c80]Xiaodong He, David Golub:
Character-Level Question Answering with Attention. EMNLP 2016: 1598-1607 - [c79]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. EMNLP 2016: 1838-1848 - [c78]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. EMNLP 2016: 2204-2214 - [c77]Xugang Ye, Jingjing Li, Zijie Qi, Xiaodong He:
Enhancing Retrieval and Ranking Performance for Media Search Engine by Deep Learning. HICSS 2016: 1174-1180 - [c76]Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng:
Interpreting the prediction process of a deep network constructed from supervised topic models. ICASSP 2016: 2429-2433 - [c75]Yun-Nung Chen, Dilek Hakkani-Tür, Xiaodong He:
Zero-shot learning of intent embeddings for expansion by convolutional deep structured semantic models. ICASSP 2016: 6045-6049 - [c74]Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen:
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. HLT-NAACL 2016: 839-849 - [c73]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. HLT-NAACL 2016: 1233-1239 - [c72]Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, Eduard H. Hovy:
Hierarchical Attention Networks for Document Classification. HLT-NAACL 2016: 1480-1489 - [c71]Yang Song, Ali Mamdouh Elkahky, Xiaodong He:
Multi-Rate Deep Learning for Temporal Recommendation. SIGIR 2016: 909-912 - [c70]Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan:
Table Cell Search for Question Answering. WWW 2016: 771-782 - [c69]Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky:
Reasoning in Vector Space: An Exploratory Study of Question Answering. ICLR (Poster) 2016 - 2015
- [c68]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. ACL (2) 2015: 100-105 - [c67]Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao:
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. ACL (1) 2015: 1321-1331 - [c66]Yun-Nung Chen, Dilek Hakkani-Tür, Xiaodong He:
Detecting actionable items in meetings by convolutional deep structured semantic models. ASRU 2015: 375-382 - [c65]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From captions to visual concepts and back. CVPR 2015: 1473-1482 - [c64]Xugang Ye, Zijie Qi, Xinying Song, Xiaodong He, Dan Massey:
Generalized Learning of Neural Network Based Semantic Similarity Models and Its Application in Movie Search. ICDM Workshops 2015: 86-93 - [c63]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops 2015: 631-638 - [c62]Wen-tau Yih, Xiaodong He, Jianfeng Gao:
Deep Learning and Continuous Representations for Natural Language Processing. HLT-NAACL 2015: 6-8 - [c61]Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-Yi Wang:
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. HLT-NAACL 2015: 912-921 - [c60]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. NIPS 2015: 1765-1773 - [c59]Amittai Axelrod, Philip Resnik, Xiaodong He, Mari Ostendorf:
Data Selection With Fewer Words. WMT@EMNLP 2015: 58-65 - [c58]Ali Mamdouh Elkahky, Yang Song, Xiaodong He:
A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems. WWW 2015: 278-288 - [c57]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Embedding Entities and Relations for Learning and Inference in Knowledge Bases. ICLR (Poster) 2015 - 2014
- [c56]Wen-tau Yih, Xiaodong He, Christopher Meek:
Semantic Parsing for Single-Relation Question Answering. ACL (2) 2014: 643-648 - [c55]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Continuous Phrase Representations for Translation Modeling. ACL (1) 2014: 699-709 - [c54]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. CIKM 2014: 101-110 - [c53]Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, Li Deng:
Modeling Interestingness with Deep Neural Networks. EMNLP 2014: 2-13 - [c52]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White:
Modeling action-level satisfaction for search task satisfaction prediction. SIGIR 2014: 123-132 - [c51]Yang Song, Hongning Wang, Xiaodong He:
Adapting deep RankNet for personalized search. WSDM 2014: 83-92 - [c50]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
Learning semantic representations using convolutional neural networks for web search. WWW (Companion Volume) 2014: 373-374 - 2013
- [c49]Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry P. Heck:
Learning deep structured semantic models for web search using clickthrough data. CIKM 2013: 2333-2338 - [c48]Po-Sen Huang, Li Deng, Mark Hasegawa-Johnson, Xiaodong He:
Random features for Kernel Deep Convex Network. ICASSP 2013: 3143-3147 - [c47]Li Deng, Xiaodong He, Jianfeng Gao:
Deep stacking networks for information retrieval. ICASSP 2013: 3153-3157 - [c46]Jennifer Gillenwater, Xiaodong He, Jianfeng Gao, Li Deng:
End-to-end learning of parsing models for information retrieval. ICASSP 2013: 3312-3316 - [c45]Xiaodong He, Li Deng, Dilek Hakkani-Tür, Gökhan Tür:
Multi-style adaptive training for robust cross-lingual spoken language understanding. ICASSP 2013: 8342-8346 - [c44]Li Deng, Jinyu Li, Jui-Ting Huang, Kaisheng Yao, Dong Yu, Frank Seide, Michael L. Seltzer, Geoffrey Zweig, Xiaodong He, Jason D. Williams, Yifan Gong, Alex Acero:
Recent advances in deep learning for speech research at Microsoft. ICASSP 2013: 8604-8608 - [c43]Grégoire Mesnil, Xiaodong He, Li Deng, Yoshua Bengio:
Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. INTERSPEECH 2013: 3771-3775 - [c42]Anthony Aue, Qin Gao, Hany Hassan, Xiaodong He, Gang Li, Nicholas Ruiz, Frank Seide:
MSR-FBK IWSLT 2013 SLT system description. IWSLT (Evaluation Campaign) 2013 - [c41]Jianfeng Gao, Xiaodong He:
Training MRF-Based Phrase Translation Models using Gradient Ascent. HLT-NAACL 2013: 450-459 - [c40]Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu:
Personalized ranking model adaptation for web search. SIGIR 2013: 323-332 - [c39]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu:
Learning to extract cross-session search tasks. WWW 2013: 1353-1364 - [c38]Ryen W. White, Wei Chu, Ahmed Hassan Awadallah, Xiaodong He, Yang Song, Hongning Wang:
Enhancing personalized search by mining and modeling task behavior. WWW 2013: 1411-1420 - 2012
- [c37]Xiaodong He, Li Deng:
Maximum Expected BLEU Training of Phrase and Lexicon Translation Models. ACL (1) 2012: 292-301 - [c36]Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali:
Learning Lexicon Models from Search Logs for Query Expansion. EMNLP-CoNLL 2012: 666-676 - [c35]Amittai Axelrod, Xiaodong He, Li Deng, Alex Acero, Mei-Yuh Hwang:
New methods and evaluation experiments on translating TED talks in the IWSLT benchmark. ICASSP 2012: 4945-4948 - [c34]Gökhan Tür, Li Deng, Dilek Hakkani-Tür, Xiaodong He:
Towards deeper understanding: Deep convex networks for semantic utterance classification. ICASSP 2012: 5045-5048 - [c33]Xiaodong He, Li Deng:
Optimization in speech-centric information processing: Criteria and techniques. ICASSP 2012: 5241-5244 - [c32]Li Deng, Gökhan Tür, Xiaodong He, Dilek Hakkani-Tür:
Use of kernel deep convex networks and end-to-end learning for spoken language understanding. SLT 2012: 210-215 - [c31]Antti-Veikko I. Rosti, Xiaodong He, Damianos G. Karakos, Gregor Leusch, Yuan Cao, Markus Freitag, Spyros Matsoukas, Hermann Ney, Jason Smith, Bing Zhang:
Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding. WMT@NAACL-HLT 2012: 191-199 - 2011
- [c30]Amittai Axelrod, Xiaodong He, Jianfeng Gao:
Domain Adaptation via Pseudo In-Domain Data Selection. EMNLP 2011: 355-362 - [c29]Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero:
A novel decision function and the associated decision-feedback learning for speech translation. ICASSP 2011: 5608-5611 - [c28]Xiaodong He, Li Deng, Alex Acero:
Why word error rate is not a good metric for speech recognizer training for the speech translation task? ICASSP 2011: 5632-5635 - [c27]Xiaodong He, Li Deng:
Robust Speech Translation by Domain Adaptation. INTERSPEECH 2011: 2105-2108 - [c26]Xiaodong He, Amittai Axelrod, Li Deng, Alex Acero, Mei-Yuh Hwang, Alisa Nguyen, Andrew Wang, Xiahui Huang:
The MSR SYSTEM for IWSLT 2011 evaluation. IWSLT 2011: 57-61 - 2010
- [c25]Jianfeng Gao, Xiaodong He, Jian-Yun Nie:
Clickthrough-based translation models for web search: from word models to phrase models. CIKM 2010: 1139-1148 - 2009
- [c24]Chi-Ho Li, Xiaodong He, Yupeng Liu, Ning Xi:
Incremental HMM Alignment for MT System Combination. ACL/IJCNLP 2009: 949-957 - [c23]Xiaodong He, Kristina Toutanova:
Joint Optimization for Machine Translation System Combination. EMNLP 2009: 1202-1211 - [c22]Yong Zhao, Xiaodong He:
Using N-gram based Features for Machine Translation System Combination. HLT-NAACL (Short Papers) 2009: 205-208 - 2008
- [c21]Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore:
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems. EMNLP 2008: 98-107 - 2007
- [c20]Dong Yu, Li Deng, Xiaodong He, Alex Acero:
Large-Margin Minimum Classification Error Training for Large-Scale Speech Recognition Tasks. ICASSP (4) 2007: 1137-1140 - [c19]Qian Qian, Xiaodong He, Li Deng:
Phone-discriminating minimum classification error (p-MCE) training for phonetic recognition. INTERSPEECH 2007: 2073-2076 - [c18]Masaki Itagaki, Takako Aikawa, Xiaodong He:
Automatic validation of terminology translation consistenscy with statistical method. MTSummit 2007 - [c17]Patrick Nguyen, Milind Mahajan, Xiaodong He:
Training Non-Parametric Features for Statistical Machine Translation. WMT@ACL 2007: 72-79 - [c16]Xiaodong He:
Using Word-Dependent Transition Models in HMM-Based Word Alignment for Statistical Machine Translation. WMT@ACL 2007: 80-87 - 2006
- [c15]Xin Lei, Jon Hamaker, Xiaodong He:
Robust feature space adaptation for telephony speech recognition. INTERSPEECH 2006 - [c14]Dong Yu, Li Deng, Xiaodong He, Alex Acero:
Use of incrementally regulated discriminative margins in MCE training for speech recognition. INTERSPEECH 2006 - [c13]Xiaodong He, Li Deng, Wu Chou:
A Novel Learning Method for Hidden Markov Models in Speech and Audio Processing. MMSP 2006: 80-85 - 2004
- [c12]Xiaodong He, Yunxin Zhao:
Prior knowledge guided MEL based model selection and adaptation for nonnative speech recognition. ICASSP (1) 2004: 337-340 - 2003
- [c11]Xiaodong He, Wu Chou:
Minimum classification error linear regression for acoustic model adaptation of continuous density HMMs. ICASSP (1) 2003: 556-559 - [c10]Xiaodong He, Wu Chou:
minimum classification error linear regression for acoustic model adaptation of continuous density HMMS. ICME 2003: 397-400 - [c9]Wu Chou, Xiaodong He:
Maximum a posteriori linear regression (MAPLR) variance adaptation for continuous density HMMS. INTERSPEECH 2003: 1513-1516 - [c8]Xiaodong He, Wu Chou:
Minimum classification error (MCE) model adaptation of continuous density HMMS. INTERSPEECH 2003: 1629-1632 - 2002
- [c7]Xiaodong He, Yunxin Zhao:
Fast model adaptation and complexity selection for nonnative English speakers. ICASSP 2002: 577-580 - [c6]Xiaodong He, Yunxin Zhao:
Maximum expected likelihood based model selection and adaptation for nonnative English speakers. INTERSPEECH 2002: 525-528 - 2001
- [c5]Xiaodong He, Yunxin Zhao:
Model complexity optimization for nonnative English speakers. INTERSPEECH 2001: 1461-1464 - 2000
- [c4]Yunxin Zhao, Xiao Zhang, Xiaodong He, Laura Schopp:
A combined adaptive and decision tree based speech separation technique for telemedicine applications. INTERSPEECH 2000: 795-798 - 1999
- [c3]Xiaodong He, Jian Liu, Jianlai Zhou, Tiecheng Yu:
Research on speech units modeling in continuous speech recognition. EUROSPEECH 1999 - [c2]Jian Liu, Xiaodong He, Fuyuan Mo, Tiecheng Yu:
Study on tone classification of Chinese continuous speech in speech recognition system. EUROSPEECH 1999: 891-894 - [c1]Jianlai Zhou, Xiaodong He, Tiecheng Yu, Fuyuan Mo:
A new hybrid structure of speech recognizer based on HMM and neural network. EUROSPEECH 1999
Informal and Other Publications
- 2023
- [i111]Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He:
Learning to Generate Poetic Chinese Landscape Painting with Calligraphy. CoRR abs/2305.04719 (2023) - [i110]Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He:
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation. CoRR abs/2306.01657 (2023) - [i109]Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He:
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets. CoRR abs/2306.09631 (2023) - [i108]Peiying Wang, Sunlu Zeng, Junqing Chen, Lu Fan, Meng Chen, Youzheng Wu, Xiaodong He:
Leveraging Label Information for Multimodal Emotion Recognition. CoRR abs/2309.02106 (2023) - [i107]Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi:
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CoRR abs/2311.16714 (2023) - [i106]Guanqun Bi, Lei Shen, Yuqiang Xie, Yanan Cao, Tiangang Zhu, Xiaodong He:
A Group Fairness Lens for Large Language Models. CoRR abs/2312.15478 (2023) - 2022
- [i105]Zhengyuan Yang, Jingen Liu, Jing Huang, Xiaodong He, Tao Mei, Chenliang Xu, Jiebo Luo:
Cross-modal Contrastive Distillation for Instructional Activity Anticipation. CoRR abs/2201.06734 (2022) - [i104]Jing Zhao, Yifan Wang, Junwei Bao, Youzheng Wu, Xiaodong He:
Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT. CoRR abs/2203.09055 (2022) - [i103]Zexun Wang, Yuquan Le, Yi Zhu, Yuming Zhao, Mingchao Feng, Meng Chen, Xiaodong He:
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis. CoRR abs/2203.12067 (2022) - [i102]Jiudong Yang, Peiying Wang, Yi Zhu, Mingchao Feng, Meng Chen, Xiaodong He:
Gated Multimodal Fusion with Contrastive Learning for Turn-taking Prediction in Human-robot Dialogue. CoRR abs/2204.10172 (2022) - [i101]Shaozu Yuan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He:
SE-GAN: Skeleton Enhanced GAN-based Model for Brush Handwriting Font Generation. CoRR abs/2204.10484 (2022) - [i100]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao:
OPERA: Operation-Pivoted Discrete Reasoning over Text. CoRR abs/2204.14166 (2022) - [i99]Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He:
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog. CoRR abs/2205.02471 (2022) - [i98]Yifan Wang, Jing Zhao, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He:
LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking. CoRR abs/2205.02550 (2022) - [i97]Zhenyu Zhang, Yuming Zhao, Meng Chen, Xiaodong He:
Label Anchored Contrastive Learning for Language Understanding. CoRR abs/2205.10227 (2022) - [i96]Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu:
Composable Text Control Operations in Latent Space with Ordinary Differential Equations. CoRR abs/2208.00638 (2022) - [i95]Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He:
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL. CoRR abs/2208.12461 (2022) - [i94]Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation. CoRR abs/2210.08249 (2022) - [i93]Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He:
Mars: Semantic-aware Contrastive Learning for End-to-End Task-Oriented Dialog. CoRR abs/2210.08917 (2022) - [i92]Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao:
MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering. CoRR abs/2210.10350 (2022) - [i91]Junwei Bao, Yifan Wang, Jiangyong Ying, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He:
P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. CoRR abs/2210.12339 (2022) - [i90]Li Fu, Siqi Li, Qingtao Li, Liping Deng, Fangzhu Li, Lu Fan, Meng Chen, Xiaodong He:
UFO2: A unified pre-training framework for online and offline speech recognition. CoRR abs/2210.14515 (2022) - [i89]Wei Song, Yanghao Yue, Ya-Jie Zhang, Zhengchen Zhang, Youzheng Wu, Xiaodong He:
Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement. CoRR abs/2211.00967 (2022) - [i88]Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He:
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. CoRR abs/2211.05503 (2022) - [i87]Ya-Jie Zhang, Wei Song, Yanghao Yue, Zhengchen Zhang, Youzheng Wu, Xiaodong He:
MaskedSpeech: Context-aware Speech Synthesis with Masking Strategy. CoRR abs/2211.06170 (2022) - [i86]Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li:
MNER-QG: An End-to-End MRC framework for Multimodal Named Entity Recognition with Query Grounding. CoRR abs/2211.14739 (2022) - [i85]Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li:
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation. CoRR abs/2211.14813 (2022) - 2021
- [i84]Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou:
Conversational Query Rewriting with Self-supervised Learning. CoRR abs/2102.04708 (2021) - [i83]Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou:
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. CoRR abs/2103.11794 (2021) - [i82]Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, Bowen Zhou:
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce. CoRR abs/2104.06960 (2021) - [i81]Jing Zhao, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
SGG: Learning to Select, Guide, and Generate for Keyphrase Generation. CoRR abs/2105.02544 (2021) - [i80]Peng Qi, Jing Huang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Conversational AI Systems for Social Good: Opportunities and Challenges. CoRR abs/2105.06457 (2021) - [i79]Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He:
RevCore: Review-augmented Conversational Recommendation. CoRR abs/2106.00957 (2021) - [i78]Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma:
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System. CoRR abs/2106.04835 (2021) - [i77]Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension. CoRR abs/2108.07994 (2021) - [i76]Jiahui Liang, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
CUSTOM: Aspect-Oriented Product Summarization for E-Commerce. CoRR abs/2108.08010 (2021) - [i75]Jing Zhao, Junwei Bao, Yifan Wang, Yongwei Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou:
RoR: Read-over-Read for Long Document Machine Reading Comprehension. CoRR abs/2109.04780 (2021) - [i74]Nan Zhao, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou:
The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service. CoRR abs/2109.12913 (2021) - [i73]Li Fu, Xiaoxiao Li, Runyu Wang, Zhengchen Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou:
SCaLa: Supervised Contrastive Learning for End-to-End Automatic Speech Recognition. CoRR abs/2110.04187 (2021) - [i72]Tong Shen, Jiawei Zuo, Fan Shi, Jin Zhang, Liqin Jiang, Meng Chen, Zhengchen Zhang, Wei Zhang, Xiaodong He, Tao Mei:
ViDA-MAN: Visual Dialog with Digital Humans. CoRR abs/2110.13384 (2021) - [i71]Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun:
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR abs/2112.13610 (2021) - 2020
- [i70]Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou:
Graph Sequential Network for Reasoning over Sequences. CoRR abs/2004.02001 (2020) - [i69]Tae Jin Park, Kyu Jeong Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis G. Georgiou, Shrikanth Narayanan:
Speaker Diarization with Lexical Information. CoRR abs/2004.06756 (2020) - [i68]Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou:
Neural Kalman Filtering for Speech Enhancement. CoRR abs/2007.13962 (2020) - [i67]Tiangang Zhu, Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou:
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product. CoRR abs/2009.07162 (2020) - [i66]Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training. CoRR abs/2010.10894 (2020) - [i65]Guanghui Xu, Wei Song, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou:
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis. CoRR abs/2011.05161 (2020) - 2019
- [i64]Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou:
Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification. CoRR abs/1902.07821 (2019) - [i63]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-driven Text-to-Image Synthesis via Adversarial Training. CoRR abs/1902.10740 (2019) - [i62]Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu, Xiaodong He:
From Knowledge Map to Mind Map: Artificial Imagination. CoRR abs/1903.01080 (2019) - [i61]Ming Tu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Towards adversarial learning of speaker-invariant representation for speech emotion recognition. CoRR abs/1903.09606 (2019) - [i60]Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He:
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. CoRR abs/1905.03638 (2019) - [i59]Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou:
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. CoRR abs/1905.07374 (2019) - [i58]Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou:
Multiple instance learning with graph neural networks. CoRR abs/1906.04881 (2019) - [i57]Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Zero-shot Text-to-SQL Learning with Auxiliary Task. CoRR abs/1908.11052 (2019) - [i56]Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Relation Module for Non-answerable Prediction on Question Answering. CoRR abs/1910.10843 (2019) - [i55]Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou:
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. CoRR abs/1910.10857 (2019) - [i54]Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou:
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents. CoRR abs/1911.00484 (2019) - [i53]Chao Zhang, Zichao Yang, Xiaodong He, Li Deng:
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications. CoRR abs/1911.03977 (2019) - [i52]Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou:
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. CoRR abs/1911.04910 (2019) - [i51]Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou:
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service. CoRR abs/1911.09969 (2019) - 2018
- [i50]Heung-Yeung Shum, Xiaodong He, Di Li:
From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots. CoRR abs/1801.01957 (2018) - [i49]Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar:
Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. CoRR abs/1802.05874 (2018) - [i48]Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning for Language Generation and Grammar Parsing. CoRR abs/1802.07089 (2018) - [i47]Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He:
Natural Language to Structured Query Generation via Meta-Learning. CoRR abs/1803.02400 (2018) - [i46]Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He:
Stacked Cross Attention for Image-Text Matching. CoRR abs/1803.08024 (2018) - [i45]Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi:
Deep Communicating Agents for Abstractive Summarization. CoRR abs/1803.10357 (2018) - [i44]Dianqi Li, Qiuyuan Huang, Xiaodong He, Lei Zhang, Ming-Ting Sun:
Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning. CoRR abs/1804.00861 (2018) - [i43]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. CoRR abs/1805.03766 (2018) - [i42]Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He:
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. CoRR abs/1805.08191 (2018) - [i41]Ryan Y. Benmalek, Claire Cardie, Serge J. Belongie, Xiaodong He, Jianfeng Gao:
The Neural Painter: Multi-Turn Image Generation. CoRR abs/1806.06183 (2018) - [i40]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR abs/1809.01299 (2018) - [i39]Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion. CoRR abs/1811.04441 (2018) - 2017
- [i38]Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos:
Deep Learning with Low Precision by Half-wave Gaussian Quantization. CoRR abs/1702.00953 (2017) - [i37]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level Deep Conflation for Business Data Analytics. CoRR abs/1702.02640 (2017) - [i36]Ji He, Mari Ostendorf, Xiaodong He:
Reinforcement Learning with External Knowledge and Two-Stage Q-functions for Predicting Popular Reddit Threads. CoRR abs/1704.06217 (2017) - [i35]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. CoRR abs/1705.08432 (2017) - [i34]Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, Ming-Ting Sun:
Adversarial Ranking for Language Generation. CoRR abs/1705.11001 (2017) - [i33]David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. CoRR abs/1706.09789 (2017) - [i32]Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang:
Bottom-Up and Top-Down Attention for Image Captioning and VQA. CoRR abs/1707.07998 (2017) - [i31]Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. CoRR abs/1708.02711 (2017) - [i30]Zheng Tang, Gaoang Wang, Tao Liu, Young-Gun Lee, Adwin Jahn, Xu Liu, Xiaodong He, Jenq-Neng Hwang:
Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration. CoRR abs/1708.06831 (2017) - [i29]Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu:
Tensor Product Generation Networks. CoRR abs/1709.09118 (2017) - [i28]Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu:
A Neural-Symbolic Approach to Natural Language Tasks. CoRR abs/1710.11475 (2017) - [i27]Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He:
On the Discrimination-Generalization Tradeoff in GANs. CoRR abs/1711.02771 (2017) - [i26]Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang:
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise. CoRR abs/1711.07131 (2017) - [i25]Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He:
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks. CoRR abs/1711.10485 (2017) - [i24]Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar:
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality. CoRR abs/1711.10791 (2017) - 2016
- [i23]Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng:
Basic Reasoning with Tensor Product Representations. CoRR abs/1601.02745 (2016) - [i22]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. CoRR abs/1603.06059 (2016) - [i21]Kenneth Tran, Xiaodong He, Lei Zhang, Jian Sun, Cornelia Carapcea, Chris Thrasher, Chris Buehler, Chris Sienkiewicz:
Rich Image Captioning in the Wild. CoRR abs/1603.09016 (2016) - [i20]David Golub, Xiaodong He:
Character-Level Question Answering with Attention. CoRR abs/1604.00727 (2016) - [i19]Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen:
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories. CoRR abs/1604.01696 (2016) - [i18]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. CoRR abs/1604.03968 (2016) - [i17]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. CoRR abs/1606.03667 (2016) - [i16]Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng:
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR abs/1606.04646 (2016) - [i15]Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao:
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. CoRR abs/1607.08221 (2016) - [i14]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. CoRR abs/1608.02076 (2016) - [i13]Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin:
Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. CoRR abs/1611.07897 (2016) - [i12]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CoRR abs/1611.08002 (2016) - 2015
- [i11]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i10]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. CoRR abs/1504.02824 (2015) - [i9]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. CoRR abs/1505.01809 (2015) - [i8]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR abs/1508.03398 (2015) - [i7]Xiujun Li, Lihong Li, Jianfeng Gao, Xiaodong He, Jianshu Chen, Li Deng, Ji He:
Recurrent Reinforcement Learning: A Hybrid Approach. CoRR abs/1509.03044 (2015) - [i6]Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola:
Stacked Attention Networks for Image Question Answering. CoRR abs/1511.02274 (2015) - [i5]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with an Unbounded Action Space. CoRR abs/1511.04636 (2015) - 2014
- [i4]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Learning Multi-Relational Semantics Using Neural-Embedding Models. CoRR abs/1411.4072 (2014) - [i3]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From Captions to Visual Concepts and Back. CoRR abs/1411.4952 (2014) - [i2]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR abs/1412.6629 (2014) - 2013
- [i1]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Semantic Representations for the Phrase Translation Model. CoRR abs/1312.0482 (2013)
Coauthor Index
[b1] [j20] [j19] [j14] [j13] [j11] [j10] [j9] [j8] [j7] [j5] [j4] [j2] [c123] [c106] [c95] [c93] [c92] [c90] [c88] [c86] [c84] [c79] [c78] [c76] [c69] [c68] [c65] [c63] [c61] [c60] [c57] [c55] [c54] [c53] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c37] [c35] [c34] [c33] [c32] [c29] [c28] [c27] [c26] [c20] [c19] [c14] [c13] [i53] [i48] [i37] [i35] [i33] [i29] [i28] [i23] [i17] [i16] [i14] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j13] [j6] [c118] [c97] [c93] [c92] [c88] [c86] [c84] [c82] [c81] [c79] [c78] [c76] [c69] [c67] [c65] [c63] [c62] [c61] [c60] [c57] [c55] [c54] [c53] [c50] [c49] [c47] [c46] [c41] [c36] [c30] [c25] [c21] [i63] [i43] [i41] [i37] [i23] [i17] [i16] [i15] [i14] [i12] [i11] [i10] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j24] [j23] [j22] [c199] [c196] [c195] [c191] [c189] [c188] [c186] [c181] [c180] [c179] [c178] [c177] [c171] [c166] [c164] [c163] [c162] [c158] [c157] [c156] [c155] [c154] [c151] [c150] [c146] [c145] [c144] [c142] [c139] [c136] [c135] [c134] [c133] [c132] [c128] [c113] [i109] [i108] [i104] [i100] [i99] [i98] [i95] [i94] [i93] [i92] [i91] [i89] [i88] [i87] [i85] [i84] [i82] [i81] [i80] [i79] [i77] [i76] [i75] [i74] [i73] [i67] [i66] [i60] [i51]
Scott Yih
aka: Wen-tau Yih
aka: Wen-tau Yih
[c157] [c156] [c155] [c154] [c153] [c152] [c151] [c150] [c147] [c146] [c145] [c144] [c143] [c142] [c140] [c139] [c138] [c136] [c135] [c134] [c132] [c131] [c129] [c128] [c122] [c120] [c119] [c117] [c112] [c111] [c110] [c107] [i84] [i83] [i82] [i81] [i80] [i78] [i77] [i76] [i75] [i74] [i73] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i61] [i59] [i58] [i57] [i56] [i55] [i54] [i52] [i51] [i39]
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