Taifeng Wang

According to our database1, Taifeng Wang authored at least 47 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints.
CoRR, 2023

Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning.
CoRR, 2023

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning.
CoRR, 2022

A Logic Aware Neural Generation Method for Explainable Data-to-text.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Extracting Trigger-sharing Events via an Event Matrix.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Document-level Event Extraction via Parallel Prediction Networks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PairRE: Knowledge Graph Embeddings via Paired Relation Vectors.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA.
CoRR, 2020

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Reconstructing Event Regions for Event Extraction via Graph Attention Networks.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Question Directed Graph Attention Network for Numerical Reasoning over Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Incremental Event Detection via Knowledge Consolidation Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.
CoRR, 2019

Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning.
CoRR, 2019

BERT-Based Multi-head Selection for Joint Entity-Relation Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2017
Distributed Machine Learning: Foundations, Trends, and Practices.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

LightGBM: A Highly Efficient Gradient Boosting Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Asynchronous Stochastic Gradient Descent with Delay Compensation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Generalization Error Bounds for Optimization Algorithms via Stability.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information.
IEEE Trans. Cybern., 2016

Ada-Sal Network: emulate the Human Visual System.
Signal Process. Image Commun., 2016

Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning.
CoRR, 2016

A Communication-Efficient Parallel Algorithm for Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Accelerated Stochastic Gradient Descent.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Improve Neural Network Using Saliency.
Proceedings of the Image and Graphics - 8th International Conference, 2015

EMI reduction by analog noise spread spectrum in new ripple controlled converter.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2014
Sampling dilemma: towards effective data sampling for click prediction in sponsored search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Psychological advertising: exploring user psychology for click prediction in sponsored search.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Relational click prediction for sponsored search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Large-scale graph mining and learning for information retrieval.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
Page importance computation based on Markov processes.
Inf. Retr., 2011

Ranking on large-scale graphs with rich metadata.
Proceedings of the 20th International Conference on World Wide Web, 2011

Semi-supervised ranking on very large graphs with rich metadata.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009
A general markov framework for page importance computation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007
A Search-Based Web Image Annotation Method.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006
nReader: reading news quickly, deeply and vividly.
Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006


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