nReader: reading news quickly, deeply and vividly. - Taifeng Wang; Nenghai Yu; Zhiwei Li 006; Mingjing Li (CHI Extended Abstracts, 2006)

A Search-Based Web Image Annotation Method. - Xiaoguang Rui; Nenghai Yu; Taifeng Wang; Mingjing Li (ICME, 2007)

A general markov framework for page importance computation. - Bin Gao 001; Tie-Yan Liu; Zhiming Ma; Taifeng Wang; Hang Li 001 (CIKM, 2009)

Semi-supervised ranking on very large graphs with rich metadata. - Bin Gao 001; Tie-Yan Liu; Wei Wei 002; Taifeng Wang; Hang Li 001 (KDD, 2011)

Ranking on large-scale graphs with rich metadata. - Bin Gao 001; Taifeng Wang; Tie-Yan Liu (WWW (Companion Volume), 2011)

Page importance computation based on Markov processes. - Bin Gao 001; Tie-Yan Liu; Yuting Liu 002; Taifeng Wang; Zhiming Ma; Hang Li 001 (Inf. Retr., 2011)

Large-scale graph mining and learning for information retrieval. - Bin Gao 001; Taifeng Wang; Tie-Yan Liu (SIGIR, 2012)

Relational click prediction for sponsored search. - Chenyan Xiong; Taifeng Wang; Wenkui Ding; Yidong Shen; Tie-Yan Liu (WSDM, 2012)

Psychological advertising: exploring user psychology for click prediction in sponsored search. - Taifeng Wang; Jiang Bian 002; Shusen Liu; Yuyu Zhang; Tie-Yan Liu (KDD, 2013)

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. - Yuyu Zhang; Hanjun Dai; Chang Xu 008; Jun Feng; Taifeng Wang; Jiang Bian 002; Bin Wang 004; Tie-Yan Liu (AAAI, 2014)

Sampling dilemma: towards effective data sampling for click prediction in sponsored search. - Jun Feng; Jiang Bian 002; Taifeng Wang; Wei Chen 034; Xiaoyan Zhu 001; Tie-Yan Liu (WSDM, 2014)

EMI reduction by analog noise spread spectrum in new ripple controlled converter. - Yasunori Kobori; Taifeng Wang; Nobukazu Tsukiji; Nobukazu Takai; Haruo Kobayashi 001 (ASICON, 2015)

Improve Neural Network Using Saliency. - Yunong Wang; Nenghai Yu; Taifeng Wang; Qing Wang (ICIG (2), 2015)

Asynchronous Accelerated Stochastic Gradient Descent. - Qi Meng; Wei Chen 034; Jingcheng Yu; Taifeng Wang; Zhiming Ma; Tie-Yan Liu (IJCAI, 2016)

A Communication-Efficient Parallel Algorithm for Decision Tree. - Qi Meng; Guolin Ke; Taifeng Wang; Wei Chen 034; Qiwei Ye; Zhiming Ma; Tie-Yan Liu (NIPS, 2016)

Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. - Shuxin Zheng; Qi Meng; Taifeng Wang; Wei Chen 034; Nenghai Yu; Zhiming Ma; Tie-Yan Liu (CoRR, 2016)

Ada-Sal Network: emulate the Human Visual System. - Yunong Wang; Nenghai Yu; Taifeng Wang (Signal Process. Image Commun., 2016)

A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information. - Wei Wei 002; Bin Gao 001; Tie-Yan Liu; Taifeng Wang; Guohui Li 001; Hang Li 001 (IEEE Trans. Cybern., 2016)

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. - Qi Meng; Wei Chen 034; Jingcheng Yu; Taifeng Wang; Zhiming Ma; Tie-Yan Liu (AAAI, 2017)

Generalization Error Bounds for Optimization Algorithms via Stability. - Qi Meng; Yue Wang 017; Wei Chen 034; Taifeng Wang; Zhiming Ma; Tie-Yan Liu (AAAI, 2017)

Asynchronous Stochastic Gradient Descent with Delay Compensation. - Shuxin Zheng; Qi Meng; Taifeng Wang; Wei Chen 034; Nenghai Yu; Zhiming Ma; Tie-Yan Liu (ICML, 2017)

LightGBM: A Highly Efficient Gradient Boosting Decision Tree. - Guolin Ke; Qi Meng; Thomas Finley; Taifeng Wang; Wei Chen 034; Weidong Ma; Qiwei Ye; Tie-Yan Liu (NIPS, 2017)

Distributed Machine Learning: Foundations, Trends, and Practices. - Tie-Yan Liu; Wei Chen 034; Taifeng Wang (WWW (Companion Volume), 2017)

Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer. - Xingyi Cheng; Weidi Xu; Taifeng Wang; Wei Chu; Weipeng Huang; Kunlong Chen; Junfeng Hu (CoNLL, 2019)

BERT-Based Multi-head Selection for Joint Entity-Relation Extraction. - Weipeng Huang; Xingyi Cheng; Taifeng Wang; Wei Chu (NLPCC (2), 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)

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. - Xingyi Cheng; Weidi Xu; Kunlong Chen; Wei Wang 225; Bin Bi; Ming Yan 008; Chen Wu 006; Luo Si; Wei Chu; Taifeng Wang (CoRR, 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)

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 001 (ACL, 2020)

Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. - Xiexiong Lin; Weiyu Jian; Jianshan He; Taifeng Wang; Wei Chu (ACL, 2020)

Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. - Weipeng Huang; Xingyi Cheng; Kunlong Chen; Taifeng Wang; Wei Chu (COLING, 2020)

Incremental Event Detection via Knowledge Consolidation Networks. - Pengfei Cao; Yubo Chen 001; Jun Zhao 001; Taifeng Wang (EMNLP (1), 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 001; Wei Chu (EMNLP (1), 2020)

Reconstructing Event Regions for Event Extraction via Graph Attention Networks. - Pei Chen; Hang Yang; Kang Liu 001; Ruihong Huang; Yubo Chen 001; Taifeng Wang; Jun Zhao 001 (AACL/IJCNLP, 2020)

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. - Weidi Xu; Xingyi Cheng; Kunlong Chen; Taifeng Wang (SIGIR, 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 019; Wenliang Chen; et al. (CoRR, 2020)

PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. - Linlin Chao; Jianshan He; Taifeng Wang; Wei Chu (ACL/IJCNLP (1), 2021)

Document-level Event Extraction via Parallel Prediction Networks. - Hang Yang; Dianbo Sui; Yubo Chen 001; Kang Liu 001; Jun Zhao 001; Taifeng Wang (ACL/IJCNLP (1), 2021)

Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. - Hang Yang; Yubo Chen 001; Kang Liu 001; Jun Zhao 001; Taifeng Wang (CIKM, 2021)

Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. - Pei Chen; Kang Liu 001; Yubo Chen 001; Taifeng Wang; Jun Zhao 001 (EACL, 2021)

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. - Mingzhe Li 001; Xiexiong Lin; Xiuying Chen; Jinxiong Chang; Qishen Zhang; Feng Wang; Taifeng Wang; Zhongyi Liu; Wei Chu; Dongyan Zhao 001; Rui Yan 001 (ACL (1), 2022)

Extracting Trigger-sharing Events via an Event Matrix. - Jun Xu; Weidi Xu; Mengshu Sun; Taifeng Wang; Wei Chu (EMNLP (Findings), 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 (KDD, 2022)

PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning. - Linlin Chao; Taifeng Wang; Wei Chu (CoRR, 2022)

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 (NeurIPS, 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 001; Le Song; Yu Li 006 (CoRR, 2023)

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 (ICLR, 2024)

Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries. - Zongzhao Li; Jiacheng Cen; Wenbing Huang 001; Taifeng Wang; Le Song (ICLR, 2025)

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining. - Fengze Liu; Weidong Zhou; Binbin Li 001; Zhimiao Yu; Yifan Zhang; Haobin Lin; Yifeng Yu; Bingni Zhang; Xiaohuan Zhou; Taifeng Wang; Yong Cao (CoRR, 2025)

MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation. - Shen Yuan; Yin Zheng; Taifeng Wang; Binbin Liu; Hongteng Xu (CoRR, 2025)

MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages. - Wenhan Han; Yifan Zhang; Zhixun Chen; Binbin Li 001; Haobin Lin; Bingni Zhang; Taifeng Wang; Mykola Pechenizkiy; Meng Fang; Yin Zheng (CoRR, 2025)

MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining. - Zhixun Chen; Ping Guo; Wenhan Han; Yifan Zhang; Binbin Li 001; Haobin Lin; Fengze Liu; Yan Zhao; Bingni Zhang; Taifeng Wang; Yin Zheng; Meng Fang (CoRR, 2025)