{"id":558264,"date":"2019-01-03T13:11:57","date_gmt":"2019-01-03T21:11:57","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=558264"},"modified":"2025-08-06T11:56:39","modified_gmt":"2025-08-06T18:56:39","slug":"aaai-2019","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/aaai-2019\/","title":{"rendered":"Microsoft @ AAAI 2019"},"content":{"rendered":"\n\n
Venue:<\/strong> Hilton Hawaiian Village Waikiki Beach Resort (opens in new tab)<\/span><\/a> Website:<\/strong> AAAI 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n Microsoft is excited to be a Bronze sponsor of the Thirty-Third AAAI Conference on Artificial Intelligence (opens in new tab)<\/span><\/a>. Come by our booth to see demos of our latest research and to discuss open opportunities at Microsoft.<\/p>\n John-Mark Agosta Affective Content Analysis: Modeling Affect-in-Action (AffCon 2019)<\/p>\n Oral Presentation 9:55 AM-10:10 AM Reasoning and Learning for Human-Machine Dialogues (opens in new tab)<\/span><\/a> (DEEP-DIAL 2019)<\/p>\n Organizing Committee: Biplav Srivastava, Susanne Biundo, Ullas Nambiar, Imed Zitouni<\/a> Dialog System Technology Challenges (DSTC7) Organizers: Michel Galley<\/a>, Chris Brockett (opens in new tab)<\/span><\/a>, Jianfeng Gao (opens in new tab)<\/span><\/a>, Bill Dolan (opens in new tab)<\/span><\/a> Opens in a new tab<\/span><\/p>\n Tuesday,\u00a0January 29, 2019 |\u00a010:25 AM\u201311:25 AM\u00a0| South Pacific 1 Tuesday,\u00a0January 29, 2019 | 10:25 AM\u201311:25 AM | South Pacific 1 Tuesday,\u00a0January 29, 2019 | 10:25 AM\u201311:25 AM | South Pacific 3 Tuesday,\u00a0January 29, 2019 | 10:25 AM\u201311:25 AM | Lehua Tuesday,\u00a0January 29, 2019 |\u00a011:30 AM\u201312:30 PM\u00a0| South Pacific 1 Tuesday,\u00a0January 29, 2019 |\u00a02:00 PM\u20133:30 PM\u00a0| South Pacific 2 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| South Pacific 2 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| South Pacific 2 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| South Pacific 2 Wednesday, January\u00a030, 2019 |\u00a010:25 \u2013 11:25 | South Pacific 3 Wednesday, January\u00a030, 2019 |\u00a010:25 \u2013 11:25 | Kahili Suite Wednesday, January\u00a030, 2019 |\u00a010:25 \u2013 11:25 | Kahili Suite Wednesday, January\u00a030, 2019 | 11:30 AM\u201312:30 PM\u00a0| Sea Pearl Suite Wednesday, January\u00a030, 2019 | 2:00 PM\u20133:30 PM\u00a0| South Pacific 1 Thursday, January 31, 2019 |\u00a010:25 AM\u201311:25 AM\u00a0| South Pacific 1 Thursday, January 31, 2019 | 11:15 AM\u201312:30 PM\u00a0| South Pacific 1 Thursday, January 31, 2019 | 11:15 AM\u201312:30 PM\u00a0| South Pacific 2 Thursday, January 31, 2019 | 11:15 AM\u201312:30 PM\u00a0| South Pacific 4 Thursday, January 31, 2019 | 2:00 PM\u20133:30 PM\u00a0| Lehua Friday, February 1, 2019 |\u00a010:00 AM\u201311:00 AM\u00a0| Coral 1 Friday, February 1, 2019 | 10:00 AM\u201311:00 AM\u00a0| South Pacific 2 Friday, February 1, 2019 | 10:00 AM\u201311:00 AM\u00a0| Hibiscus Suite Friday, February 1, 2019 | 11:15 AM\u201312:30 PM\u00a0| South Pacific 3 Friday, February 1, 2019 | 11:15 AM\u201312:30 PM\u00a0| South Pacific 4 Friday, February 1, 2019 |\u00a011:15 AM\u201312:30 PM\u00a0| South Pacific 4 Tuesday,\u00a0January 29, 2019 |\u00a010:25 AM\u201311:25 AM\u00a0| Coral Ballroom 3-5 | #2683 Tuesday,\u00a0January 29, 2019 | 10:25 AM\u201311:25 AM\u00a0| South Pacific 2 | #142 Tuesday,\u00a0January 29, 2019 |\u00a011:30 AM\u201312:30 PM\u00a0| Coral 1 | #1036 Tuesday,\u00a0January 29, 2019 | 11:30 AM\u201312:30 PM\u00a0| Lehua | #4059 Tuesday,\u00a0January 29, 2019 |\u00a02:00 PM\u20133:30 PM\u00a0| Coral Ballroom 3-5 | #4495 Tuesday,\u00a0January 29, 2019 |2:00 PM\u20133:30 PM\u00a0| Coral Ballroom 3-5 | #6721 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| South Pacific 1 | #3855 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| South Pacific 2 | #1200 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| South Pacific 2 | #2744 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| Hibiscus Suite | #1575 Tuesday,\u00a0January 29, 2019 | 2:00 PM\u20133:30 PM\u00a0| Kahili Suite | #1538 Wednesday, January 30, 2019 |\u00a010:25 AM\u201311:25 AM\u00a0| Coral Ballroom 3-5 | #3753 Wednesday, January 30, 2019 | 10:25 AM\u201311:25 AM\u00a0| South Pacific 2 | #1979 Wednesday, January 30, 2019 |\u00a011:30 AM\u201312:30 PM\u00a0| South Pacific 1 | #4947 Wednesday, January 30, 2019 | 11:30 AM\u201312:30 PM\u00a0| South Pacific 2 | #5320 Wednesday, January 30, 2019 | 11:30 AM\u201312:30 PM\u00a0| South Pacific 3 | #1991 Wednesday, January 30, 2019 |\u00a02:00 PM\u20133:30 PM\u00a0| Coral 1 | #2145 Wednesday, January 30, 2019 | 2:00 PM\u20133:30 PM\u00a0| Coral 2 | #4082 Wednesday, January 30, 2019 |\u00a03:35 PM\u20134:35 PM\u00a0| Coral Ballroom 3-5 | #3228 Wednesday, January 30, 2019 |\u00a03:35 PM\u20134:45 PM\u00a0| Sea Pearl Suite | #7721 Thursday,\u00a0January 31, 2019 |\u00a010:25 AM\u201311:25 AM\u00a0| South Pacific 1 | #2022 Thursday,\u00a0January 31, 2019 | 10:25 AM\u201311:25 AM\u00a0| South Pacific 3 | #985
\n2005 Kalia Road
\nHonolulu, HI 96815 USA<\/p>\nMicrosoft Research Attendees<\/h3>\n
\nParag Agrawal
\nAhmed Awadallah<\/a>
\nChris Brockett<\/a>
\nBrian Broll
\nBei Chen<\/a>
\nCourtney Cochrane
\nLei Cui<\/a>
\nDebadeepta Dey<\/a>
\nBill Dolan<\/a>
\nHaoyu Dong<\/a>
\nLei Fang<\/a>
\nMichel Galley<\/a>
\nNika Haghtalab<\/a>
\nEric Horvitz<\/a>
\nShaohan Huang
\nKori Inkpen<\/a>
\nRahul Jha
\nAdam Kalai<\/a>
\nEce Kamar<\/a>
\nJulia Kiseleva
\nDamian Kowalczyk
\nJohn Krumm<\/a>
\nChunyuan Li
\nLihang Li
\nZijia Lin<\/a>
\nJie Liu<\/a>
\nXiaodong Liu<\/a>
\nJanhavi Mahajan
\nVani Mandava<\/a>
\nThomas Manzini
\nQi Meng
\nBesmira Nushi<\/a>
\nBen Olsen
\nAndi Peng
\nDeepthi Ravisankar
\nLiqun Shao
\nShikhar Sharma<\/a>
\nYu Su
\nFei Tian<\/a>
\nChi Wang<\/a>
\nChunyu Wang<\/a>
\nJinglu Wang<\/a>
\nWenxuan Xie<\/a>
\nJian Zhang
\nYizhe Zhang<\/a>
\nLi Zhao<\/a>
\nChen Zhang<\/a>
\nCheng Zhang<\/a>
\nPengchuan Zhang<\/a>
\nImed Zitouni<\/a>Opens in a new tab<\/span><\/p>\nSunday, January 27, 2019<\/h2>\n
\n(Best Paper) Scalable Privacy-Compliant Virality Prediction on Twitter
\nDamian Kowalczyk<\/strong>, Jan Larsen<\/p>\n
\nOral Presentation 10:00 AM-10:30 AM
\nA Trustworthy, Responsible and Interpretable System to Handle Chit-Chat in Conversational Bots
\nParag Agrawal<\/strong>, Anshuman Suri, Tulasi Menon<\/p>\n
\nEnd-to-End Conversation Modeling: Moving beyond Chitchat\u00a0– Sentence Generation (opens in new tab)<\/span><\/a><\/p>\n
\nOral Presentation 3:30 PM\u20133:50 PM
\nFrom Film to Video: Multi-turn Question Answering with Multi-modal Context
\nDat Nguyen, Shikhar Sharma<\/a><\/strong>, Hannes Schulz<\/a>, Layla El Asri<\/a><\/strong><\/p>\n
\nTech Session 4: AI and Web 1
\nAdversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
\nXiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang<\/a><\/strong>, Ahmed Awadallah<\/a><\/strong>, Dan Kifer, Lee Giles<\/p>\n
\nTech Session 4: AI and Web 1
\nUnsupervised Neural Machine Translation with SMT as Posterior Regularization
\nShuo Ren, Zhirui Zhang, Shujie Liu<\/a><\/strong>, Ming Zhou<\/a><\/strong>, Shuai Ma<\/p>\n
\nTech Session 6: Vision: Object Detection
\nMonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
\nZengyi Qin, Jinglu Wang<\/a><\/strong>, Yan Lu<\/a><\/strong><\/p>\n
\nTech Session 10: Computational Sustainability
\nDeep Reinforcement Learning for Green Security Games with Real-Time Information
\nYufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa<\/strong><\/a>, Fei Fang<\/p>\n
\nTech Session 4: AI and Web 2
\nPopularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features
\nDongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu<\/strong>, Jing Li<\/p>\n
\nTech Session 5: NLP: Discourse and Dialogue
\nFANDA: A Novel Approach to Perform Follow-Up Query Analysis
\nQian Liu, Bei Chen<\/a><\/strong>, Jian-Guang Lou<\/a><\/strong>, Ge Jin, Dongmei Zhang<\/a><\/strong><\/p>\n
\nTech Session 5: NLP: Discourse and Dialogue
\nSwitch Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning
\nYuexin Wu, Xiujun Li<\/a><\/strong>, Jingjing Liu<\/a><\/strong>, Jianfeng Gao<\/a><\/strong>, Yiming Yang<\/p>\n
\nTech Session 5: NLP: Discourse and Dialogue
\nResponse Generation by Context-Aware Prototype Editing
\nYu Wu, Furu Wei<\/a><\/strong>, Shaohan Huang<\/strong>, Yunli Wang, Ming Zhou<\/a><\/strong>, Zhoujun Li<\/p>\n
\nTech Session 5: NLP: Discourse and Dialogue
\nDialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
\nZiming Li, Julia Kiseleva,<\/strong> Maarten de Rijke<\/p>\n
\nTech Session 5: Vision and Video Analysis 1
\nVideo Imprint Segmentation for Temporal Action Detection in Untrimmed Videos
\nZhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua<\/a><\/strong><\/p>\n
\nTech Session 8: Game Theory and Economic Paradigms 4
\nGroup Fairness for Indivisible Goods Allocation
\nVincent Conitzer, Rupert Freeman<\/a>,<\/u><\/strong> Nisarg Shah, Jennifer Wortman Vaughan<\/a><\/strong><\/p>\n
\nTech Session 8: Game Theory and Economic Paradigms 4
\nAn Equivalence Between Wagering and Fair-Division Mechanisms
\nRupert Freeman<\/a><\/strong>, David Pennock<\/a><\/strong>, Jennifer Wortman Vaughan<\/a><\/strong><\/p>\n
\nTech Session 10: Applications and the Web 2
\nLiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
\nShuming Ma, Lei Cui<\/a><\/strong>, Damai Dai, Furu Wei<\/a><\/strong>, Xu Sun<\/p>\n
\nTech Session 3: AI and Web 5
\nSession-Based Recommendation with Graph Neural Network
\nShu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie<\/a><\/strong>, Tieniu Tan<\/p>\n
\nTech Session 4: NLP (General) 1
\nSentence-Wise Smooth Regularization for Sequence to Sequence Learning
\nChengyue Gong, Xu Tan, Di He, Tao Qin<\/a><\/strong><\/p>\n
\nTech Session 4: NLP (General) 3
\nNeural Speech Synthesis with Transformer Network
\nNaihan Li, Shujie Liu<\/a><\/strong>, Yanqing Liu<\/strong>, Sheng Zhao<\/strong>, Ming Liu<\/p>\n
\nTech Session 5: NLP (General) 4
\nDRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
\nKun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu<\/a><\/strong>, Xing Xie<\/a><\/strong><\/p>\n
\nTech Session 7: Vision (General) 3
\nMVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
\nJinglu Wang<\/a><\/strong>, Bo Sun, Yan Lu<\/a><\/strong><\/p>\n
\nTech Session 10: Human-AI Collaboration 2
\nUpdates in Human\u2010AI Teams: Understanding and Addressing the
\nPerformance\/Compatibility Tradeoff
\nGagan Bansal, Besmira Nushi<\/a><\/strong>, Ece Kamar<\/a><\/strong>, Daniel Weld, Walter Lasecki, Eric Horvitz<\/a><\/strong><\/p>\n
\nTech Session 2: Machine Learning 4
\nDistributional Semantics meets Multi-Label Learning
\nVivek Gupta, Rahul Wadbude, Piyush Rai, Nagarajan Natarajan<\/strong>, Harish Karnick, Prateek Jain<\/a><\/strong><\/p>\n
\nTech Session 5: NLP (General) 7
\nNon-Autoregressive Neural Machine Translation with Enhanced Decoder Input
\nJunliang Guo, Xu Tan<\/a><\/strong>, Di He, Tao Qin<\/a><\/strong>, Linli Xu, Tieyan Liu<\/p>\n
\nTech Session 9: Robotics 1
\nDeep Single–\u2010View 3D Object Reconstruction with Visual Hull Embedding
\nHanqing Wang, Jiaolong Yang<\/a><\/strong>, Wei Liang, Xin Tong<\/a><\/strong><\/p>\n
\nTech Session 6: Ensemble Methods
\nLearning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
\nHanzhang Hu, Debadeepta Dey<\/a><\/strong>, Martial Hebert, J. Andrew Bagnell<\/p>\n
\nTech Session 7: Machine Learning 7
\nEfficient Identification of Approximate Best Configuration of Training in Large Datasets
\nSilu Huang, Chi Wang<\/a><\/strong>, Bolin Ding, Surajit Chaudhuri<\/a><\/strong><\/p>\n
\nTech Session 7: Machine Learning 7
\nActive Mini-Batch Sampling using Repulsive Point Processes
\nCheng Zhang<\/a><\/strong>, Cengiz Oztireli, Stephan Mandt, Giampiero SalviOpens in a new tab<\/span><\/p>\n
\nTech Session 1: Machine Learning 1
\nA Distillation Approach to Data Efficient Individual Treatment Effect Estimation
\nMaggie Makar, Adith Swaminathan<\/a><\/strong>, Emre Kiciman<\/a><\/strong><\/p>\n
\nTech Session 5: NLP: Semantics and Summarization 1
\nLeveraging Web Semantic Knowledge in Word Representation Learning
\nHaoyan Liu, Lei Fang<\/a><\/strong>, Jian–Guang Lou<\/a><\/strong>, Zhoujun Li<\/p>\n
\nTech Session 2: AI for Social Impact 2
\nTraffic Updates: Saying a Lot While Revealing a Little
\nJohn Krumm<\/a><\/strong>, Eric Horvitz<\/a><\/strong><\/p>\n
\nTech Session 9: Cognitive Systems
\nAttentive Tensor Product Learning
\nQiuyuan Huang<\/a><\/strong>, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He<\/p>\n
\nTech Session 1: Deep Learning 1
\nRecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of General Neural Networks and Its Applications
\nHuan Zhang, Pengchuan Zhang<\/a><\/strong>, Cho-Jui Hsieh<\/p>\n
\nTech Session 1: Deep Learning 1
\nTowards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
\nSarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou<\/a><\/strong>, Yoshua Bengio<\/p>\n
\nTech Session 4: AI and Web 3
\nRegularizing Neural Machine Translation by Target-Bidirectional Agreement
\nZhirui Zhang, Shuangzhi Wu, Shujie Liu<\/a><\/strong>, Mu li<\/strong>, Ming Zhou<\/a><\/strong>, Tong Xu<\/p>\n
\nTech Session 5: NLP: discourse and Dialogue
\nZero-Shot Adaptive Transfer for Conversational Language Understanding
\nSungjin Lee<\/a><\/strong>, Rahul Jha<\/p>\n
\nTech Session 5: NLP: Discourse and Dialogue
\nRe-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
\nAnanya Sai B, Mithun Das Gupta, <\/strong>Mitesh M. Khapra, Mukundhan Srinivasan<\/p>\n
\nTech Session 7: Learning Theory
\nCapacity Control of ReLU Neural Networks by Basis\u2010Path Norm
\nShuxin Zheng, Qi Meng<\/strong>, Huishuai Zhang<\/a><\/strong>, Wei Chen<\/a><\/strong>, Nenghai Yu, Tie-Yan Liu<\/a><\/strong><\/p>\n
\nTech Session 8: Game Theory and Economic Paradigms 3
\nOnline Pandora’s Boxes and Bandits
\nHossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier<\/a><\/strong>, Michael Mitzenmacher<\/p>\n
\nTech Session 1: GANs
\nOn\u2010Line Adaptative Curriculum Learning for GANs
\nThang Doan, Joao B Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, Devon Hjelm<\/strong><\/p>\n
\nTech Session 4: NLP: Question Answering
\nRead + Verify: Machine Reading Comprehension with Unanswerable Questions
\nMinghao Hu, Furu Wei<\/a><\/strong>, Yuxing Peng, Zhen Huang, Nan Yang<\/a><\/strong>, Dongsheng Li<\/p>\n
\nTech Session 4: AI and Web 4
\nTableSense: Spreadsheet Table Detection with Convolutional Neural Networks
\nHaoyu Dong<\/a><\/strong>, Shijie Liu, Shi Han<\/a><\/strong>, Zhouyu Fu<\/strong>, Dongmei Zhang<\/a><\/strong><\/p>\n
\nTech Session 5: NLP: Information Extraction 2
\nGRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
\nHui Chen, Zijia Lin<\/a><\/strong>, Guiguang Ding, Jian-Guang Lou<\/a><\/strong>, Yusen Zhang, Borje Karlsson<\/a><\/strong><\/p>\n
\nTech Session 6: Vision and Video Analysis 2
\nDetect or Track: Towards Cost-Effective Video Object Detection\/Tracking
\nHao Luo, Wenxuan Xie<\/a><\/strong>, Xinggang Wang, Wenjun Zeng<\/a><\/strong><\/p>\n
\nTech Session 1: Deep Learning 2
\nBalanced Sparsity for Efficient DNN Inference on GPU
\nZhuliang Yao, Shijie Cao, Wencong Xiao, Lanshun Nie, Chen Zhang<\/a><\/strong><\/p>\n
\nTech Session 2: Language and Vision 2
\nHierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
\nQiuyuan Huang<\/a><\/strong>, Zhe Gan<\/strong>, Asli Celikyilmaz<\/a><\/strong>, Dapeng Wu, Jianfeng Wang<\/strong>, Xiaodong He<\/p>\n
\nTech Session 1: Reinforcement Learning 1
\nTrust Region Evolution Strategies
\nGuoqing Liu, Li Zhao<\/a><\/strong>, Feidiao Yang, Jiang Bian<\/a><\/strong>, Tao Qin<\/a><\/strong>, Nenghai Yu, Tie-Yan Liu<\/a><\/strong><\/p>\n
\nTech Session 9: Applications and the Web 4
\nLearning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
\nYouru Li, Zhenfeng Zhu, Deqiang Kong,<\/strong> Meixiang Xu, Yao Zhao<\/p>\n
\nTech Session 4: NLP (General) 1
\nDictionary-Guided Editing Networks for Paraphrase Generation
\nShaohan Huang<\/strong>, Yu Wu, Furu Wei<\/a><\/strong>, Zhongzhi Luan<\/p>\n