Taifeng Wang

According to our database, Taifeng Wang authored at least 47 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li

CoRR, 2023

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.

Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song

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.

Linlin Chao, Taifeng Wang, Wei Chu

CoRR, 2022

A Logic Aware Neural Generation Method for Explainable Data-to-text.

Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang

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.

Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu

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.

Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan

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.

Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao

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.

Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang

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.

Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang

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.

Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu

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.

Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin

CoRR, 2020

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.

Weidi Xu, Xingyi Cheng, Kunlong Chen, Taifeng Wang

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.

Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao

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.

Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Incremental Event Detection via Knowledge Consolidation Networks.

Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang

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.

Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy.

Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu

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.

Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers.

Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.

Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang

CoRR, 2019

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

Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu

CoRR, 2019

BERT-Based Multi-head Selection for Joint Entity-Relation Extraction.

Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer.

Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang, Kunlong Chen, Junfeng Hu

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2017

Distributed Machine Learning: Foundations, Trends, and Practices.

Tie-Yan Liu, Wei Chen, Taifeng Wang

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu

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.

Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu

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

Generalization Error Bounds for Optimization Algorithms via Stability.

Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction.

Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information.

Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guohui Li, Hang Li

IEEE Trans. Cybern., 2016

Ada-Sal Network: emulate the Human Visual System.

Yunong Wang, Nenghai Yu, Taifeng Wang

Signal Process. Image Commun., 2016

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

Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu

CoRR, 2016

A Communication-Efficient Parallel Algorithm for Decision Tree.

Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Accelerated Stochastic Gradient Descent.

Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Improve Neural Network Using Saliency.

Yunong Wang, Nenghai Yu, Taifeng Wang, Qing Wang

Proceedings of the Image and Graphics - 8th International Conference, 2015

EMI reduction by analog noise spread spectrum in new ripple controlled converter.

Yasunori Kobori, Taifeng Wang, Nobukazu Tsukiji, Nobukazu Takai, Haruo Kobayashi

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2014

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

Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu

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

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.

Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu

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

2013

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

Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu

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

2012

Relational click prediction for sponsored search.

Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Large-scale graph mining and learning for information retrieval.

Bin Gao, Taifeng Wang, Tie-Yan Liu

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011

Page importance computation based on Markov processes.

Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li

Inf. Retr., 2011

Ranking on large-scale graphs with rich metadata.

Bin Gao, Taifeng Wang, Tie-Yan Liu

Proceedings of the 20th International Conference on World Wide Web, 2011

Semi-supervised ranking on very large graphs with rich metadata.

Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009

A general markov framework for page importance computation.

Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007

A Search-Based Web Image Annotation Method.

Xiaoguang Rui, Nenghai Yu, Taifeng Wang, Mingjing Li

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006

nReader: reading news quickly, deeply and vividly.

Taifeng Wang, Nenghai Yu, Zhiwei Li, Mingjing Li

Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006