Taifeng Wang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 45

Top Topics

Stochastic Gradient Descent

Graph Embedding

Event Extraction

Click Prediction

Top Venues

Publications

Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. ICLR (2024)
Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. CoRR (2023)
Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. CoRR (2023)
Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR (2023)
Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. NeurIPS (2023)
Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu
Extracting Trigger-sharing Events via an Event Matrix. EMNLP (Findings) (2022)
Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. CoRR (2022)
Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang
A Logic Aware Neural Generation Method for Explainable Data-to-text. KDD (2022)
Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. ACL (1) (2022)
Linlin Chao, Taifeng Wang, Wei Chu
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning. CoRR (2022)
Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang
Document-level Event Extraction via Parallel Prediction Networks. ACL/IJCNLP (1) (2021)
Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. CIKM (2021)
Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. ACL/IJCNLP (1) (2021)
Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. EACL (2021)
Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao
Reconstructing Event Regions for Event Extraction via Graph Attention Networks. AACL/IJCNLP (2020)
Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. CoRR (2020)
Weidi Xu, Xingyi Cheng, Kunlong Chen, Taifeng Wang
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. SIGIR (2020)
Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. CoRR (2020)
Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang
Incremental Event Detection via Knowledge Consolidation Networks. EMNLP (1) (2020)
Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu
Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. ACL (2020)
Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. COLING (2020)
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
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. CoRR (2020)
Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR (2020)
Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. ACL (2020)
Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) (2020)
Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. CoRR (2019)
Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. 41 (11) (2019)
Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu
BERT-Based Multi-head Selection for Joint Entity-Relation Extraction. NLPCC (2) (2019)
Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction. CoRR (2019)
Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. CoRR (2019)
Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang, Kunlong Chen, Junfeng Hu
Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer. CoNLL (2019)
Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. CoRR (2017)
Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML (2017)
Tie-Yan Liu, Wei Chen, Taifeng Wang
Distributed Machine Learning: Foundations, Trends, and Practices. WWW (Companion Volume) (2017)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI (2017)
Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS (2017)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI (2017)
Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. CoRR (2016)
Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guohui Li, Hang Li
A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information. IEEE Trans. Cybern. 46 (4) (2016)
Yunong Wang, Nenghai Yu, Taifeng Wang
Ada-Sal Network: emulate the Human Visual System. Signal Process. Image Commun. 47 (2016)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR (2016)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Accelerated Stochastic Gradient Descent. IJCAI (2016)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR (2016)
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR (2016)
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS (2016)
Yunong Wang, Nenghai Yu, Taifeng Wang, Qing Wang
Improve Neural Network Using Saliency. ICIG (2) (2015)
Yasunori Kobori, Taifeng Wang, Nobukazu Tsukiji, Nobukazu Takai, Haruo Kobayashi
EMI reduction by analog noise spread spectrum in new ripple controlled converter. ASICON (2015)
Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. CoRR (2014)
Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu
Sampling dilemma: towards effective data sampling for click prediction in sponsored search. WSDM (2014)
Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. AAAI (2014)
Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu
Psychological advertising: exploring user psychology for click prediction in sponsored search. KDD (2013)
Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu
Relational click prediction for sponsored search. WSDM (2012)
Bin Gao, Taifeng Wang, Tie-Yan Liu
Large-scale graph mining and learning for information retrieval. SIGIR (2012)
Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li
Semi-supervised ranking on very large graphs with rich metadata. KDD (2011)
Bin Gao, Taifeng Wang, Tie-Yan Liu
Ranking on large-scale graphs with rich metadata. WWW (Companion Volume) (2011)
Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li
Page importance computation based on Markov processes. Inf. Retr. 14 (5) (2011)
Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li
A general markov framework for page importance computation. CIKM (2009)
Xiaoguang Rui, Nenghai Yu, Taifeng Wang, Mingjing Li
A Search-Based Web Image Annotation Method. ICME (2007)
Taifeng Wang, Nenghai Yu, Zhiwei Li, Mingjing Li
nReader: reading news quickly, deeply and vividly. CHI Extended Abstracts (2006)