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2020 – today
- 2024
[c37]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- 2023
- [c36]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 - [i18]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 abs/2301.05931 (2023) - [i17]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 abs/2309.15458 (2023) - [i16]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 abs/2311.15156 (2023) - 2022
- [c35]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: 4432-4441 - [c34]Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu:
Extracting Trigger-sharing Events via an Event Matrix. EMNLP (Findings) 2022: 1189-1201 - [c33]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: 3318-3326 - [i15]Linlin Chao, Taifeng Wang, Wei Chu:
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning. CoRR abs/2204.13957 (2022) - [i14]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 abs/2205.13346 (2022) - 2021
- [c32]Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu:
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. ACL/IJCNLP (1) 2021: 4360-4369 - [c31]Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang:
Document-level Event Extraction via Parallel Prediction Networks. ACL/IJCNLP (1) 2021: 6298-6308 - [c30]Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang:
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. CIKM 2021: 3578-3582 - [c29]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: 2042-2048 - 2020
- [c28]Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu:
Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. ACL 2020: 41-52 - [c27]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: 871-881 - [c26]Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu:
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. COLING 2020: 2062-2072 - [c25]Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang:
Incremental Event Detection via Knowledge Consolidation Networks. EMNLP (1) 2020: 707-717 - [c24]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: 6759-6768 - [c23]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: 811-820 - [c22]Weidi Xu, Xingyi Cheng, Kunlong Chen, Taifeng Wang:
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. SIGIR 2020: 1901-1904 - [i13]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 abs/2003.03875 (2020) - [i12]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 abs/2004.14166 (2020) - [i11]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 abs/2009.07448 (2020) - [i10]Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu:
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. CoRR abs/2011.03798 (2020)
2010 – 2019
- 2019
- [j4]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): 2628-2643 (2019) - [c21]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: 961-969 - [c20]Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu:
BERT-Based Multi-head Selection for Joint Entity-Relation Extraction. NLPCC (2) 2019: 713-723 - [i9]Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu:
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. CoRR abs/1903.04190 (2019) - [i8]Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu:
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction. CoRR abs/1908.05908 (2019) - [i7]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 abs/1909.03405 (2019) - 2017
- [c19]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI 2017: 2329-2335 - [c18]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI 2017: 2336-2342 - [c17]Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML 2017: 4120-4129 - [c16]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: 3146-3154 - [c15]Tie-Yan Liu, Wei Chen, Taifeng Wang:
Distributed Machine Learning: Foundations, Trends, and Practices. WWW (Companion Volume) 2017: 913-915 - [i6]Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu:
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. CoRR abs/1708.00146 (2017) - 2016
- [j3]Yunong Wang, Nenghai Yu, Taifeng Wang:
Ada-Sal Network: emulate the Human Visual System. Signal Process. Image Commun. 47: 519-528 (2016) - [j2]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): 930-944 (2016) - [c14]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Accelerated Stochastic Gradient Descent. IJCAI 2016: 1853-1859 - [c13]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: 1271-1279 - [i5]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 abs/1609.08326 (2016) - [i4]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR abs/1609.08397 (2016) - [i3]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR abs/1609.08435 (2016) - [i2]Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu:
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR abs/1611.01276 (2016) - 2015
- [c12]Yasunori Kobori, Taifeng Wang, Nobukazu Tsukiji, Nobukazu Takai, Haruo Kobayashi:
EMI reduction by analog noise spread spectrum in new ripple controlled converter. ASICON 2015: 1-4 - [c11]Yunong Wang, Nenghai Yu, Taifeng Wang, Qing Wang:
Improve Neural Network Using Saliency. ICIG (2) 2015: 417-429 - 2014
- [c10]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: 1369-1375 - [c9]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: 103-112 - [i1]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 abs/1404.5772 (2014) - 2013
- [c8]Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu:
Psychological advertising: exploring user psychology for click prediction in sponsored search. KDD 2013: 563-571 - 2012
- [c7]Bin Gao, Taifeng Wang, Tie-Yan Liu:
Large-scale graph mining and learning for information retrieval. SIGIR 2012: 1194-1195 - [c6]Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu:
Relational click prediction for sponsored search. WSDM 2012: 493-502 - 2011
- [j1]Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li:
Page importance computation based on Markov processes. Inf. Retr. 14(5): 488-514 (2011) - [c5]Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li:
Semi-supervised ranking on very large graphs with rich metadata. KDD 2011: 96-104 - [c4]Bin Gao, Taifeng Wang, Tie-Yan Liu:
Ranking on large-scale graphs with rich metadata. WWW (Companion Volume) 2011: 285-286
2000 – 2009
- 2009
- [c3]Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li:
A general markov framework for page importance computation. CIKM 2009: 1835-1838 - 2007
- [c2]Xiaoguang Rui, Nenghai Yu, Taifeng Wang, Mingjing Li:
A Search-Based Web Image Annotation Method. ICME 2007: 655-658 - 2006
- [c1]Taifeng Wang, Nenghai Yu, Zhiwei Li, Mingjing Li:
nReader: reading news quickly, deeply and vividly. CHI Extended Abstracts 2006: 1385-1390
Coauthor Index
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