Taifeng Wang - RankMe

67 papers A* 15A 6B 2Journal 29Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning. CoRR Xuchen Li, Jing Chen, Xuzhao Li, Hao Liang, Xiaohuan Zhou, Taifeng Wang, Wentao Zhang
2025	J	`jnl`	Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining. CoRR Ping Guo, Yubing Ren, Binbin Li, Fengze Liu, Haobin Lin, Yifan Zhang, Bingni Zhang, Taifeng Wang, Yin Zheng
2025	J	`jnl`	MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation. CoRR Shen Yuan, Yin Zheng, Taifeng Wang, Binbin Liu, Hongteng Xu
2025	J	`jnl`	MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages. CoRR Wenhan Han, Yifan Zhang, Zhixun Chen, Binbin Li, Haobin Lin, Bingni Zhang, Taifeng Wang, Mykola Pechenizkiy, Meng Fang, Yin Zheng
2025	J	`jnl`	MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining. CoRR Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, Binbin Li, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Meng Fang
2025	J	`jnl`	QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining. CoRR Fengze Liu, Weidong Zhou, Binbin Li, Zhimiao Yu, Yifan Zhang, Haobin Lin, Yifeng Yu, Bingni Zhang, Xiaohuan Zhou, Taifeng Wang, Yong Cao
2025	A*	`conf`	Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries. ICLR Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song
2025	J	`jnl`	TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training. CoRR Yifan Wang, Binbin Liu, Fengze Liu, Yuanfan Guo, Jiyao Deng, Xuecheng Wu, Weidong Zhou, Xiaohuan Zhou, Taifeng Wang
2024	A*	`conf`	LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. ICLR Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
2023	J	`jnl`	Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li
2023	J	`jnl`	LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. CoRR Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
2023	A*	`conf`	xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. NeurIPS Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
2023	J	`jnl`	xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. CoRR Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
2022	A*	`conf`	A Logic Aware Neural Generation Method for Explainable Data-to-text. KDD Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang
2022	—	`conf`	Extracting Trigger-sharing Events via an Event Matrix. EMNLP (Findings) Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu
2022	—	`conf`	Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. ACL (1) Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan
2022	J	`jnl`	Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. CoRR Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan
2022	J	`jnl`	PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning. CoRR Linlin Chao, Taifeng Wang, Wei Chu
2021	—	`conf`	Document-level Event Extraction via Parallel Prediction Networks. ACL/IJCNLP (1) Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang
2021	A	`conf`	Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. CIKM Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang
2021	—	`conf`	PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. ACL/IJCNLP (1) Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu
2021	A	`conf`	Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. EACL Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao
2020	A*	`conf`	Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. ACL Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu
2020	—	`conf`	Incremental Event Detection via Knowledge Consolidation Networks. EMNLP (1) Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang
2020	J	`jnl`	Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. CoRR 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
2020	J	`jnl`	PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. CoRR Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu
2020	—	`conf`	Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
2020	J	`jnl`	Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
2020	—	`conf`	Reconstructing Event Regions for Event Extraction via Graph Attention Networks. AACL/IJCNLP Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao
2020	A*	`conf`	SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. ACL Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi
2020	J	`jnl`	SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. CoRR Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi
2020	A*	`conf`	Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. SIGIR Weidi Xu, Xingyi Cheng, Kunlong Chen, Taifeng Wang
2020	B	`conf`	Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. COLING Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
2019	J	`jnl`	BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction. CoRR Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu
2019	—	`conf`	BERT-Based Multi-head Selection for Joint Entity-Relation Extraction. NLPCC (2) Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu
2019	J	`jnl`	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
2019	J	`jnl`	Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. CoRR Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang
2019	J	`jnl`	Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. CoRR Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
2019	B	`conf`	Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer. CoNLL Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang, Kunlong Chen, Junfeng Hu
2017	A*	`conf`	Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
2017	A*	`conf`	Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2017	—	`conf`	Distributed Machine Learning: Foundations, Trends, and Practices. WWW (Companion Volume) Tie-Yan Liu, Wei Chen, Taifeng Wang
2017	A*	`conf`	Generalization Error Bounds for Optimization Algorithms via Stability. AAAI Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2017	J	`jnl`	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. CoRR Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
2017	—	`conf`	LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
2016	—	`conf`	A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information. IEEE Trans. Cybern. Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guohui Li, Hang Li
2016	J	`jnl`	Ada-Sal Network: emulate the Human Visual System. Signal Process. Image Commun. Yunong Wang, Nenghai Yu, Taifeng Wang
2016	A*	`conf`	Asynchronous Accelerated Stochastic Gradient Descent. IJCAI Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. CoRR Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Generalization Error Bounds for Optimization Algorithms via Stability. CoRR Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2015	—	`conf`	EMI reduction by analog noise spread spectrum in new ripple controlled converter. ASICON Yasunori Kobori, Taifeng Wang, Nobukazu Tsukiji, Nobukazu Takai, Haruo Kobayashi
2015	—	`conf`	Improve Neural Network Using Saliency. ICIG (2) Yunong Wang, Nenghai Yu, Taifeng Wang, Qing Wang
2014	A	`conf`	Sampling dilemma: towards effective data sampling for click prediction in sponsored search. WSDM Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu
2014	A*	`conf`	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. AAAI Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
2014	J	`jnl`	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. CoRR Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
2013	A*	`conf`	Psychological advertising: exploring user psychology for click prediction in sponsored search. KDD Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu
2012	A*	`conf`	Large-scale graph mining and learning for information retrieval. SIGIR Bin Gao, Taifeng Wang, Tie-Yan Liu
2012	A	`conf`	Relational click prediction for sponsored search. WSDM Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu
2011	J	`jnl`	Page importance computation based on Markov processes. Inf. Retr. Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li
2011	—	`conf`	Ranking on large-scale graphs with rich metadata. WWW (Companion Volume) Bin Gao, Taifeng Wang, Tie-Yan Liu
2011	A*	`conf`	Semi-supervised ranking on very large graphs with rich metadata. KDD Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li
2009	A	`conf`	A general markov framework for page importance computation. CIKM Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li
2007	A	`conf`	A Search-Based Web Image Annotation Method. ICME Xiaoguang Rui, Nenghai Yu, Taifeng Wang, Mingjing Li
2006	—	`conf`	nReader: reading news quickly, deeply and vividly. CHI Extended Abstracts Taifeng Wang, Nenghai Yu, Zhiwei Li, Mingjing Li