Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.

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Min Hou

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations.

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Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Revisiting the Evaluation of End-to-end Event Extraction.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Universal Trading for Order Execution with Oracle Policy Distillation.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Reweight with Deep Interactions.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting.

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CoRR, 2020

COSEA: Convolutional Code Search with Layer-wise Attention.

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CoRR, 2020

Qlib: An AI-oriented Quantitative Investment Platform.

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[DOI]

CoRR, 2020

Learn to Use Future Information in Simultaneous Translation.

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CoRR, 2020

Learning to Teach with Deep Interactions.

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[DOI]

CoRR, 2020

MC-BERT: Efficient Language Pre-Training via a Meta Controller.

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[DOI]

CoRR, 2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Measuring Model Complexity of Neural Networks with Curve Activation Functions.

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Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.

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[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Invertible Image Rescaling.

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[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Light Multi-Segment Activation for Model Compression.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.

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[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2019

LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm.

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CoRR, 2019

Fully Parameterized Quantile Function for Distributional Reinforcement Learning.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding.

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[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks.

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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction.

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[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies.

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[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction.

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Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.

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[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network.

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[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Unified Policy Optimization for Robust Reinforcement Learning.

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Proceedings of The 11th Asian Conference on Machine Learning, 2019

Trust Region Evolution Strategies.

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Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction.

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Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Investor-Imitator: A Framework for Trading Knowledge Extraction.

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Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning.

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[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.

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[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Slim-DP: A Light Communication Data Parallelism for DNN.

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CoRR, 2017

Learning What Data to Learn.

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[DOI]

CoRR, 2017

Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Dual Inference for Machine Learning.

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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dual Supervised Learning.

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Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding.

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Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge.

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[DOI]

ACM Trans. Inf. Syst., 2015

Indexing Earth Mover's Distance over Network Metrics.

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[DOI]

Ting Wang

Shicong Meng

Jiang Bian

IEEE Trans. Knowl. Data Eng., 2015

Active Learning for Ranking through Expected Loss Optimization.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding.

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[DOI]

CoRR, 2015

DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining.

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[DOI]

Bin Gao

Jiang Bian

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

2014

Exploiting User Preference for Online Learning in Web Content Optimization Systems.

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[DOI]

ACM Trans. Intell. Syst. Technol., 2014

WordRep: A Benchmark for Research on Learning Word Representations.

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[DOI]

Bin Gao

Jiang Bian

Tie-Yan Liu

CoRR, 2014

Learning Effective Word Embedding using Morphological Word Similarity.

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[DOI]

CoRR, 2014

Sampling dilemma: towards effective data sampling for click prediction in sponsored search.

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[DOI]

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Knowledge-Powered Deep Learning for Word Embedding.

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[DOI]

Jiang Bian

Bin Gao

Tie-Yan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A Probabilistic Model for Learning Multi-Prototype Word Embeddings.

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Proceedings of the COLING 2014, 2014

Co-learning of Word Representations and Morpheme Representations.

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Proceedings of the COLING 2014, 2014

RC-NET: A General Framework for Incorporating Knowledge into Word Representations.

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Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.

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[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

User Action Interpretation for Online Content Optimization.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2013

An effective general framework for localized content optimization.

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[DOI]

Yoshiyuki Inagaki

Jiang Bian

Yi Chang

Proceedings of the 22nd International World Wide Web Conference, 2013

Psychological advertising: exploring user psychology for click prediction in sponsored search.

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Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Learning to blend vitality rankings from heterogeneous social networks.

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Neurocomputing, 2012

Model news relatedness through user comments.

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[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

Optimizing user exploring experience in emerging e-commerce products.

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[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

Enhancing product search by best-selling prediction in e-commerce.

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[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Enhancing mobile search using web search log data.

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[DOI]

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

User action interpretation for personalized content optimization in recommender systems.

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[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

A taxonomy of local search: semi-supervised query classification driven by information needs.

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[DOI]

Jiang Bian

Yi Chang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM.

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[DOI]

Proceedings of the 19th International Conference on World Wide Web, 2010

Ranking with query-dependent loss for web search.

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[DOI]

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Hybrid Generative/Discriminative Learning for Automatic Image Annotation.

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[DOI]

Shuang-Hong Yang

Jiang Bian

Hongyuan Zha

Proceedings of the UAI 2010, 2010

Optimizing unified loss for web ranking specialization.

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[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Modeling information-seeker satisfaction in community question answering.

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[DOI]

Eugene Agichtein

Yandong Liu

Jiang Bian

ACM Trans. Knowl. Discov. Data, 2009

Learning to recognize reliable users and content in social media with coupled mutual reinforcement.

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[DOI]

Proceedings of the 18th International Conference on World Wide Web, 2009

2008

Exploring social annotations for information retrieval.

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[DOI]

Proceedings of the 17th International Conference on World Wide Web, 2008

Finding the right facts in the crowd: factoid question answering over social media.

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[DOI]

Proceedings of the 17th International Conference on World Wide Web, 2008

Predicting information seeker satisfaction in community question answering.

[BibT_eX]

[DOI]

Yandong Liu

Jiang Bian

Eugene Agichtein

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

A few bad votes too many?: towards robust ranking in social media.

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[DOI]

Proceedings of the AIRWeb 2008, 2008

Jiang Bian

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