| 2026 | ACL | MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning. | Xuchen Li, Jing Chen, Xuzhao Li, Hao Liang, Xiaohuan Zhou, Taifeng Wang, Wentao Zhang |
| 2026 | ACL | TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training. | Yifan Wang, Binbin Liu, Fengze Liu, Yuanfan Guo, Jiyao Deng, Xuecheng Wu, Weidong Zhou, Xiaohuan Zhou, Taifeng Wang |
| 2025 | ICLR | Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries. | Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song |
| 2024 | ICLR | 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 |
| 2022 | ACL | 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 |
| 2022 | EMNLP | Extracting Trigger-sharing Events via an Event Matrix. | Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu |
| 2022 | KDD | 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 |
| 2021 | ACL | PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. | Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu |
| 2021 | ACL | Document-level Event Extraction via Parallel Prediction Networks. | Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | CIKM | Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. | Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | EACL | 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 |
| 2020 | ACL | 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 |
| 2020 | ACL | Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. | Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu |
| 2020 | COLING | Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. | Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu |
| 2020 | EMNLP | Incremental Event Detection via Knowledge Consolidation Networks. | Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang |
| 2020 | EMNLP | 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 |
| 2020 | IJCNLP | Reconstructing Event Regions for Event Extraction via Graph Attention Networks. | Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao |
| 2020 | SIGIR | Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. | Weidi Xu, Xingyi Cheng, Kunlong Chen, Taifeng Wang |
| 2019 | CoNLL | Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer. | Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang, Kunlong Chen, Junfeng Hu |
| 2017 | AAAI | Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. | Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |
| 2017 | AAAI | Generalization Error Bounds for Optimization Algorithms via Stability. | Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |
| 2017 | ICML | Asynchronous Stochastic Gradient Descent with Delay Compensation. | Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu |
| 2017 | WWW | Distributed Machine Learning: Foundations, Trends, and Practices. | Tie-Yan Liu, Wei Chen, Taifeng Wang |
| 2016 | IJCAI | Asynchronous Accelerated Stochastic Gradient Descent. | Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |
| 2015 | ICIG | Improve Neural Network Using Saliency. | Yunong Wang, Nenghai Yu, Taifeng Wang, Qing Wang |
| 2014 | AAAI | 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 |
| 2014 | WSDM | 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 |
| 2013 | KDD | Psychological advertising: exploring user psychology for click prediction in sponsored search. | Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu |
| 2012 | SIGIR | Large-scale graph mining and learning for information retrieval. | Bin Gao, Taifeng Wang, Tie-Yan Liu |
| 2012 | WSDM | Relational click prediction for sponsored search. | Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu |
| 2011 | KDD | Semi-supervised ranking on very large graphs with rich metadata. | Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li |
| 2011 | WWW | Ranking on large-scale graphs with rich metadata. | Bin Gao, Taifeng Wang, Tie-Yan Liu |
| 2009 | CIKM | A general markov framework for page importance computation. | Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li |
| 2006 | CHI | nReader: reading news quickly, deeply and vividly. | Taifeng Wang, Nenghai Yu, Zhiwei Li, Mingjing Li |