| 2026 | ACL | Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models. | Canhui Wu, Qiong Cao, Chang Li, Zhenfang Wang, Chao Xue, Yuwei Fan, Wei Xi, Xiaodong He |
| 2025 | COLING | Comet: Dialog Context Fusion Mechanism for End-to-End Task-Oriented Dialog with Multi-task Learning. | Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He |
| 2025 | CVPR | HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation. | Kun Liu, Qi Liu, Xinchen Liu, Jie Li, Yongdong Zhang, Jiebo Luo, Xiaodong He, Wu Liu |
| 2025 | CVPR | Scaling Down Text Encoders of Text-to-Image Diffusion Models. | Lifu Wang, Daqing Liu, Xinchen Liu, Xiaodong He |
| 2025 | ICASSP | UME: Upcycling Mixture-of-Experts for Scalable and Efficient Automatic Speech Recognition. | Li Fu, Shanyong Yu, Siqi Li, Fan Lu, Youzheng Wu, Xiaodong He |
| 2024 | CVPR | POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning. | Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang |
| 2024 | CVPR | Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. | Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi |
| 2024 | IJCAI | MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. | Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He |
| 2024 | Tencon | Characteristic Parameters Retrieval of Frequency Selective Surfaces Based on Very Fast Simulated Annealling. | Xiaodong He, Yinghong Wen, Xiao Jia |
| 2023 | AAAI | MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding. | Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li |
| 2023 | ACL | DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation. | Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He |
| 2023 | ACL | AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets. | Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He |
| 2023 | ACL | Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog. | Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He |
| 2023 | ACL | MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. | Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He |
| 2023 | ACL | Dialog-Post: Multi-Level Self-Supervised Objectives and Hierarchical Model for Dialogue Post-Training. | Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He |
| 2023 | CIKM | POSPAN: Position-Constrained Span Masking for Language Model Pre-training. | Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He |
| 2023 | EMNLP | Composable Text Controls in Latent Space with ODEs. | Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu |
| 2023 | ICASSP | UFO2: A Unified Pre-Training Framework for Online and Offline Speech Recognition. | Li Fu, Siqi Li, Qingtao Li, Liping Deng, Fangzhu Li, Fan Lu, Meng Chen, Xiaodong He |
| 2023 | ICASSP | Improving Disfluency Detection with Multi-Scale Self Attention and Contrastive Learning. | Peiying Wang, Chaoqun Duan, Meng Chen, Xiaodong He |
| 2023 | ICML | SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation. | Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li |
| 2023 | Interspeech | OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition. | Li Fu, Siqi Li, Qingtao Li, Fangzhu Li, Liping Deng, Fan Lu, Meng Chen, Youzheng Wu, Xiaodong He |
| 2023 | Interspeech | Leveraging Label Information for Multimodal Emotion Recognition. | Peiying Wang, Sunlu Zeng, Junqing Chen, Fan Lu, Meng Chen, Youzheng Wu, Xiaodong He |
| 2023 | Interspeech | MaskedSpeech: Context-aware Speech Synthesis with Masking Strategy. | Ya-Jie Zhang, Wei Song, Yanghao Yue, Zhengchen Zhang, Youzheng Wu, Xiaodong He |
| 2022 | AAAI | SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract). | Chen Li, Xiaoguang Yu, Shuangyong Song, Jia Wang, Bo Zou, Xiaodong He |
| 2022 | AAAI | A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract). | Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He |
| 2022 | ACL | Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT. | Jing Zhao, Yifan Wang, Junwei Bao, Youzheng Wu, Xiaodong He |
| 2022 | CIKM | Legal Charge Prediction via Bilinear Attention Network. | Yuquan Le, Yuming Zhao, Meng Chen, Zhe Quan, Xiaodong He, Kenli Li |
| 2022 | CIKM | AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL. | Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He |
| 2022 | COLING | Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline. | Ruixue Liu, Shaozu Yuan, Aijun Dai, Lei Shen, Tiangang Zhu, Meng Chen, Xiaodong He |
| 2022 | COLING | Tracking Satisfaction States for Customer Satisfaction Prediction in E-commerce Service Chatbots. | Yang Sun, Liangqing Wu, Shuangyong Song, Xiaoguang Yu, Xiaodong He, Guohong Fu |
| 2022 | DASFAA | Beyond QA: 'Heuristic QA' Strategies in JIMI. | Shuangyong Song, Bo Zou, Jianghua Lin, Xiaoguang Yu, Xiaodong He |
| 2022 | EMNLP | P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. | Junwei Bao, Yifan Wang, Ying Jiangyong, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He |
| 2022 | EMNLP | PRINCE: Prefix-Masked Decoding for Knowledge Enhanced Sequence-to-Sequence Pre-Training. | Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He |
| 2022 | EMNLP | MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering. | Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao |
| 2022 | EMNLP | Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking. | Hongyan Xie, Haoxiang Su, Shuangyong Song, Hao Huang, Bo Zou, Kun Deng, Jianghua Lin, Zhihui Zhang, Xiaodong He |
| 2022 | EMNLP | JDDC 2.1: A Multimodal Chinese Dialogue Dataset with Joint Tasks of Query Rewriting, Response Generation, Discourse Parsing, and Summarization. | Nan Zhao, Haoran Li, Youzheng Wu, Xiaodong He |
| 2022 | EMNLP | UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation. | Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao |
| 2022 | ICASSP | Building Robust Spoken Language Understanding by Cross Attention Between Phoneme Sequence and ASR Hypothesis. | Zexun Wang, Yuquan Le, Yi Zhu, Yuming Zhao, Mingchao Feng, Meng Chen, Xiaodong He |
| 2022 | ICASSP | Gated Multimodal Fusion with Contrastive Learning for Turn-Taking Prediction in Human-Robot Dialogue. | Jiudong Yang, Peiying Wang, Yi Zhu, Mingchao Feng, Meng Chen, Xiaodong He |
| 2022 | IJCAI | Learning to Generate Poetic Chinese Landscape Painting with Calligraphy. | Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He |
| 2022 | ICPR | Cross-modal Contrastive Distillation for Instructional Activity Anticipation. | Zhengyuan Yang, Jingen Liu, Jing Huang, Xiaodong He, Tao Mei, Chenliang Xu, Jiebo Luo |
| 2022 | Interspeech | SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition. | Li Fu, Xiaoxiao Li, Runyu Wang, Fan Lu, Zhengchen Zhang, Meng Chen, Youzheng Wu, Xiaodong He |
| 2022 | Interspeech | Cross-modal Transfer Learning via Multi-grained Alignment for End-to-End Spoken Language Understanding. | Yi Zhu, Zexun Wang, Hang Liu, Peiying Wang, Mingchao Feng, Meng Chen, Xiaodong He |
| 2022 | LREC | E-ConvRec: A Large-Scale Conversational Recommendation Dataset for E-Commerce Customer Service. | Meihuizi Jia, Ruixue Liu, Peiying Wang, Yang Song, Zexi Xi, Haobin Li, Xin Shen, Meng Chen, Jinhui Pang, Xiaodong He |
| 2022 | NAACL | Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. | Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu |
| 2022 | NAACL | BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog. | Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He |
| 2022 | NAACL | LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking. | Yifan Wang, Jing Zhao, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He |
| 2022 | NAACL | Label Anchored Contrastive Learning for Language Understanding. | Zhenyu Zhang, Yuming Zhao, Meng Chen, Xiaodong He |
| 2022 | NAACL | OPERA: Operation-Pivoted Discrete Reasoning over Text. | Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao |
| 2022 | WWW | A Two-stage User Intent Detection Model on Complicated Utterances with Multi-task Learning. | Shuangyong Song, Xiangyan Chen, Chao Wang, Xiaoguang Yu, Jia Wang, Xiaodong He |
| 2021 | ACL | RevCore: Review-Augmented Conversational Recommendation. | Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He |
| 2021 | ASRU | Incremental Learning for End-to-End Automatic Speech Recognition. | Li Fu, Xiaoxiao Li, Libo Zi, Zhengchen Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2021 | EMNLP | Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization. | Haoran Li, Song Xu, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2021 | EMNLP | K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce. | Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, Bowen Zhou |
| 2021 | EMNLP | RoR: Read-over-Read for Long Document Machine Reading Comprehension. | Jing Zhao, Junwei Bao, Yifan Wang, Yongwei Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2021 | ICASSP | Conversational Query Rewriting with Self-Supervised Learning. | Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2021 | ICASSP | Dian: Duration Informed Auto-Regressive Network for Voice Cloning. | Wei Song, Xin Yuan, Zhengchen Zhang, Chao Zhang, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2021 | ICASSP | Neural Kalman Filtering for Speech Enhancement. | Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou |
| 2021 | ICASSP | Improving Prosody Modelling with Cross-Utterance Bert Embeddings for End-to-End Speech Synthesis. | Guanghui Xu, Wei Song, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou |
| 2021 | NAACL | Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. | Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou |
| 2021 | NAACL | SGG: Learning to Select, Guide, and Generate for Keyphrase Generation. | Jing Zhao, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | AAAI | Zero-Shot Text-to-SQL Learning with Auxiliary Task. | Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou |
| 2020 | AAAI | Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products. | Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | AAAI | Keywords-Guided Abstractive Sentence Summarization. | Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He |
| 2020 | AAAI | Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. | Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou |
| 2020 | ACL | Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. | Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou |
| 2020 | ACL | Self-Attention Guided Copy Mechanism for Abstractive Summarization. | Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | COLING | Multimodal Sentence Summarization via Multimodal Selective Encoding. | Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He, Chengqing Zong |
| 2020 | COLING | Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training. | Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao |
| 2020 | COLING | On the Faithfulness for E-commerce Product Summarization. | Peng Yuan, Haoran Li, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | ECAI | Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network. | Yuquan Le, Congqing He, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | EMNLP | Enhancing Automated Essay Scoring Performance via Cohesion Measurement and Combination of Regression and Ranking. | Ruosong Yang, Jiannong Cao, Zhiyuan Wen, Youzheng Wu, Xiaodong He |
| 2020 | EMNLP | Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product. | Tiangang Zhu, Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | Interspeech | Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed. | Wei Song, Guanghui Xu, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou |
| 2020 | Interspeech | The JD AI Speaker Verification System for the FFSVC 2020 Challenge. | Ying Tong, Wei Xue, Shanluo Huang, Fan Lu, Chao Zhang, Guohong Ding, Xiaodong He |
| 2020 | Interspeech | Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning. | Wei Xue, Ying Tong, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou |
| 2020 | LREC | The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service. | Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | SIGIR | AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. | Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He |
| 2019 | AAAI | Attentive Tensor Product Learning. | Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He |
| 2019 | AAAI | Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. | Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He |
| 2019 | AAAI | End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. | Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou |
| 2019 | ACL | Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. | Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou |
| 2019 | CoNLL | Relation Module for Non-Answerable Predictions on Reading Comprehension. | Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou |
| 2019 | CVPR | Object-Driven Text-To-Image Synthesis via Adversarial Training. | Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao |
| 2019 | CVPR | Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. | Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao |
| 2019 | ICASSP | Deep Speaker Embedding Learning with Multi-level Pooling for Text-independent Speaker Verification. | Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou |
| 2019 | IJCAI | Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. | Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu |
| 2019 | IJCAI | Discrete Trust-aware Matrix Factorization for Fast Recommendation. | Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He |
| 2019 | IJCAI | Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. | Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He |
| 2019 | IJCAI | Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling. | Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun |
| 2019 | Interspeech | Multi-Stride Self-Attention for Speech Recognition. | Kyu Jeong Han, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou |
| 2019 | Interspeech | Speaker Diarization with Lexical Information. | Tae Jin Park, Kyu Jeong Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis G. Georgiou, Shrikanth Narayanan |
| 2019 | Interspeech | Direct-Path Signal Cross-Correlation Estimation for Sound Source Localization in Reverberation. | Wei Xue, Ying Tong, Guohong Ding, Chao Zhang, Tao Ma, Xiaodong He, Bowen Zhou |
| 2019 | MICCAI | DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning. | Xiaodong He, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao |
| 2019 | MICCAI | High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. | Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao |
| 2019 | SIGMOD | PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen |
| 2018 | AAAI | Question-Answering with Grammatically-Interpretable Representations. | Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng |
| 2018 | ACL | Deep Reinforcement Learning for NLP. | William Yang Wang, Jiwei Li, Xiaodong He |
| 2018 | CVPR | Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. | Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang |
| 2018 | CVPR | CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise. | Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang |
| 2018 | CVPR | Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. | Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel |
| 2018 | CVPR | AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. | Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He |
| 2018 | ECCV | Stacked Cross Attention for Image-Text Matching. | Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He |
| 2018 | EMNLP | Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. | Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih |
| 2018 | ICASSP | Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. | Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar |
| 2018 | ICLR | On the Discrimination-Generalization Tradeoff in GANs. | Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He |
| 2018 | NAACL | Discourse-Aware Neural Rewards for Coherent Text Generation. | Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi |
| 2018 | NAACL | Deep Communicating Agents for Abstractive Summarization. | Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi |
| 2018 | NAACL | Tensor Product Generation Networks for Deep NLP Modeling. | Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu |
| 2018 | NAACL | Natural Language to Structured Query Generation via Meta-Learning. | Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He |
| 2018 | SIGMOD | TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen |
| 2017 | CVPR | Deep Learning with Low Precision by Half-Wave Gaussian Quantization. | Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos |
| 2017 | CVPR | StyleNet: Generating Attractive Visual Captions with Styles. | Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng |
| 2017 | CVPR | Semantic Compositional Networks for Visual Captioning. | Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng |
| 2017 | EMNLP | Learning Generic Sentence Representations Using Convolutional Neural Networks. | Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin |
| 2017 | EMNLP | Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. | David Golub, Po-Sen Huang, Xiaodong He, Li Deng |
| 2017 | ICASSP | Character-level deep conflation for business data analytics. | Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng |
| 2016 | ACL | Deep Reinforcement Learning with a Natural Language Action Space. | Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf |
| 2016 | ACL | Generating Natural Questions About an Image. | Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende |
| 2016 | CVPR | Rich Image Captioning in the Wild. | Kenneth Tran, Xiaodong He, Lei Zhang, Jian Sun |
| 2016 | CVPR | Stacked Attention Networks for Image Question Answering. | Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola |
| 2016 | ECCV | MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. | Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao |
| 2016 | EMNLP | Bi-directional Attention with Agreement for Dependency Parsing. | Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng |
| 2016 | EMNLP | Character-Level Question Answering with Attention. | Xiaodong He, David Golub |
| 2016 | EMNLP | Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. | Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng |
| 2016 | ICASSP | Zero-shot learning of intent embeddings for expansion by convolutional deep structured semantic models. | Yun-Nung Chen, Dilek Hakkani-Tr, Xiaodong He |
| 2016 | ICASSP | Interpreting the prediction process of a deep network constructed from supervised topic models. | Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng |
| 2016 | NAACL | Visual Storytelling. | 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 |
| 2016 | NAACL | A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. | Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen |
| 2016 | NAACL | Hierarchical Attention Networks for Document Classification. | Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, Eduard H. Hovy |
| 2016 | WWW | Table Cell Search for Question Answering. | Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan |
| 2016 | SIGIR | Multi-Rate Deep Learning for Temporal Recommendation. | Yang Song, Ali Mamdouh Elkahky, Xiaodong He |
| 2015 | ACL | Language Models for Image Captioning: The Quirks and What Works. | Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell |
| 2015 | ACL | Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. | Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao |
| 2015 | ASRU | Detecting actionable items in meetings by convolutional deep structured semantic models. | Yun-Nung Chen, Dilek Hakkani-Tr, Xiaodong He |
| 2015 | CVPR | From captions to visual concepts and back. | Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollr, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig |
| 2015 | ICDM | A Deep Embedding Model for Co-occurrence Learning. | Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng |
| 2015 | ICDM | Generalized Learning of Neural Network Based Semantic Similarity Models and Its Application in Movie Search. | Xugang Ye, Zijie Qi, Xinying Song, Xiaodong He, Dan Massey |
| 2015 | NAACL | Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. | Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-Yi Wang |
| 2015 | NAACL | Deep Learning and Continuous Representations for Natural Language Processing. | Wen-tau Yih, Xiaodong He, Jianfeng Gao |
| 2015 | WWW | A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems. | Ali Mamdouh Elkahky, Yang Song, Xiaodong He |
| 2014 | ACL | Learning Continuous Phrase Representations for Translation Modeling. | Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng |
| 2014 | ACL | Semantic Parsing for Single-Relation Question Answering. | Wen-tau Yih, Xiaodong He, Christopher Meek |
| 2014 | CIKM | A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. | Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grgoire Mesnil |
| 2014 | EMNLP | Modeling Interestingness with Deep Neural Networks. | Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, Li Deng |
| 2014 | WWW | Learning semantic representations using convolutional neural networks for web search. | Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grgoire Mesnil |
| 2014 | SIGIR | Modeling action-level satisfaction for search task satisfaction prediction. | Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White |
| 2014 | WSDM | Adapting deep RankNet for personalized search. | Yang Song, Hongning Wang, Xiaodong He |
| 2013 | CIKM | Learning deep structured semantic models for web search using clickthrough data. | Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry P. Heck |
| 2013 | ICASSP | Deep stacking networks for information retrieval. | Li Deng, Xiaodong He, Jianfeng Gao |
| 2013 | ICASSP | Recent advances in deep learning for speech research at Microsoft. | 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 |
| 2013 | ICASSP | End-to-end learning of parsing models for information retrieval. | Jennifer Gillenwater, Xiaodong He, Jianfeng Gao, Li Deng |
| 2013 | ICASSP | Multi-style adaptive training for robust cross-lingual spoken language understanding. | Xiaodong He, Li Deng, Dilek Hakkani-Tr, Gkhan Tr |
| 2013 | ICASSP | Random features for Kernel Deep Convex Network. | Po-Sen Huang, Li Deng, Mark Hasegawa-Johnson, Xiaodong He |
| 2013 | Interspeech | Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. | Grgoire Mesnil, Xiaodong He, Li Deng, Yoshua Bengio |
| 2013 | NAACL | Training MRF-Based Phrase Translation Models using Gradient Ascent. | Jianfeng Gao, Xiaodong He |
| 2013 | WWW | Learning to extract cross-session search tasks. | Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu |
| 2013 | WWW | Enhancing personalized search by mining and modeling task behavior. | Ryen W. White, Wei Chu, Ahmed Hassan Awadallah, Xiaodong He, Yang Song, Hongning Wang |
| 2013 | SIGIR | Personalized ranking model adaptation for web search. | Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu |
| 2012 | ACL | Maximum Expected BLEU Training of Phrase and Lexicon Translation Models. | Xiaodong He, Li Deng |
| 2012 | EMNLP | Learning Lexicon Models from Search Logs for Query Expansion. | Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali |
| 2012 | ICASSP | New methods and evaluation experiments on translating TED talks in the IWSLT benchmark. | Amittai Axelrod, Xiaodong He, Li Deng, Alex Acero, Mei-Yuh Hwang |
| 2012 | ICASSP | Optimization in speech-centric information processing: Criteria and techniques. | Xiaodong He, Li Deng |
| 2012 | ICASSP | Towards deeper understanding: Deep convex networks for semantic utterance classification. | Gkhan Tr, Li Deng, Dilek Hakkani-Tr, Xiaodong He |
| 2011 | EMNLP | Domain Adaptation via Pseudo In-Domain Data Selection. | Amittai Axelrod, Xiaodong He, Jianfeng Gao |
| 2011 | ICASSP | Why word error rate is not a good metric for speech recognizer training for the speech translation task? | Xiaodong He, Li Deng, Alex Acero |
| 2011 | ICASSP | A novel decision function and the associated decision-feedback learning for speech translation. | Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero |
| 2011 | Interspeech | Robust Speech Translation by Domain Adaptation. | Xiaodong He, Li Deng |
| 2010 | CIKM | Clickthrough-based translation models for web search: from word models to phrase models. | Jianfeng Gao, Xiaodong He, Jian-Yun Nie |
| 2009 | ACL | Incremental HMM Alignment for MT System Combination. | Chi-Ho Li, Xiaodong He, Yupeng Liu, Ning Xi |
| 2009 | EMNLP | Joint Optimization for Machine Translation System Combination. | Xiaodong He, Kristina Toutanova |
| 2009 | NAACL | Using N-gram based Features for Machine Translation System Combination. | Yong Zhao, Xiaodong He |
| 2008 | EMNLP | Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems. | Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore |
| 2007 | ICASSP | Large-Margin Minimum Classification Error Training for Large-Scale Speech Recognition Tasks. | Dong Yu, Li Deng, Xiaodong He, Alex Acero |
| 2007 | Interspeech | Phone-discriminating minimum classification error (p-MCE) training for phonetic recognition. | Qian Qian, Xiaodong He, Li Deng |
| 2006 | Interspeech | Robust feature space adaptation for telephony speech recognition. | Xin Lei, Jon Hamaker, Xiaodong He |
| 2006 | Interspeech | Use of incrementally regulated discriminative margins in MCE training for speech recognition. | Dong Yu, Li Deng, Xiaodong He, Alex Acero |
| 2006 | MMSP | A Novel Learning Method for Hidden Markov Models in Speech and Audio Processing. | Xiaodong He, Li Deng, Wu Chou |
| 2004 | ICASSP | Prior knowledge guided MEL based model selection and adaptation for nonnative speech recognition. | Xiaodong He, Yunxin Zhao |
| 2003 | ICASSP | Minimum classification error linear regression for acoustic model adaptation of continuous density HMMs. | Xiaodong He, Wu Chou |
| 2003 | Interspeech | Maximum a posteriori linear regression (MAPLR) variance adaptation for continuous density HMMS. | Wu Chou, Xiaodong He |
| 2003 | Interspeech | Minimum classification error (MCE) model adaptation of continuous density HMMS. | Xiaodong He, Wu Chou |
| 2002 | ICASSP | Fast model adaptation and complexity selection for nonnative English speakers. | Xiaodong He, Yunxin Zhao |
| 2002 | Interspeech | Maximum expected likelihood based model selection and adaptation for nonnative English speakers. | Xiaodong He, Yunxin Zhao |
| 2001 | Interspeech | Model complexity optimization for nonnative English speakers. | Xiaodong He, Yunxin Zhao |
| 2000 | Interspeech | A combined adaptive and decision tree based speech separation technique for telemedicine applications. | Yunxin Zhao, Xiao Zhang, Xiaodong He, Laura Schopp |
| 1999 | Interspeech | Research on speech units modeling in continuous speech recognition. | Xiaodong He, Jian Liu, Jianlai Zhou, Tiecheng Yu |
| 1999 | Interspeech | Study on tone classification of Chinese continuous speech in speech recognition system. | Jian Liu, Xiaodong He, Fuyuan Mo, Tiecheng Yu |
| 1999 | Interspeech | A new hybrid structure of speech recognizer based on HMM and neural network. | Jianlai Zhou, Xiaodong He, Tiecheng Yu, Fuyuan Mo |