Yuexin Wu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 65

Top Topics

Generation Algorithm

Question Answering

Top Venues

Publications

Chuang Liu, Jianjun Zhou, Junwei Gan, Yuexin Wu, Yulong Huang, Jiahao Shao, Lingyi Ouyang
Optimizing the ground intra-city express delivery network: An integrated multiple centrality assessment, multi-criteria decision-making, and multi-objective integer programming model. J. Intell. Transp. Syst. 28 (4) (2024)
Peng Cheng, Yuexin Wu, Yuan Hong, Zhongjie Ba, Feng Lin, Li Lu, Kui Ren
UniAP: Protecting Speech Privacy With Non-Targeted Universal Adversarial Perturbations. IEEE Trans. Dependable Secur. Comput. 21 (1) (2024)
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
Enabling Lanuguage Models to Implicitly Learn Self-Improvement. ICLR (2024)
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR (2024)
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. CoRR (2024)
Chiyu Zhang, Honglong Cai, Yuezhang Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed
Distilling Text Style Transfer With Self-Explanation From LLMs. CoRR (2024)
Bing Qian, Rongting Wei, Yuexin Wu, Chong Ma
An Interactive Multi-task Learning Model for Aspect-Based Sentiment Analysis. ICCCS (2023)
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
Enable Language Models to Implicitly Learn Self-Improvement From Data. CoRR (2023)
Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
Large Language Models Can Self-Improve. EMNLP (2023)
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR (2023)
Zhengji Li, Yuexin Wu, Jin Yang, Jiangchuan Chen, Tianrui Li
Improving rating predictions with time-varying attention and dual-optimizer. Appl. Intell. 53 (21) (2023)
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. ICLR (2023)
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS (2023)
Yuexin Wu, I-Chan Huang, Xiaolei Huang
Token Imbalance Adaptation for Radiology Report Generation. CoRR (2023)
Yuexin Wu, Yi Tang, Chunxiao Fan, Yu Liu
MDVT: A Multi-modal Fake News Detection Framework based on Vision Transformer. MLNLP (2023)
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Chunxiao Fan, Zhen Yan, Yuexin Wu, Bing Qian
Span prompt dense passage retrieval for Chinese open domain question answering. J. Intell. Fuzzy Syst. 45 (5) (2023)
Yuexin Wu, I-Chan Huang, Xiaolei Huang
Token Imbalance Adaptation for Radiology Report Generation. CHIL (2023)
Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
Token Dropping for Efficient BERT Pretraining. ACL (1) (2022)
Yuexin Wu, Xiaolei Huang
Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification. *SEM@NAACL-HLT (2022)
Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. ICML (2022)
Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
Token Dropping for Efficient BERT Pretraining. CoRR (2022)
Wentong Chen, Chunxiao Fan, Yuexin Wu, Yitong Wang
Chinese Machine Reading Comprehension Based on Language Model Containing Knowledge. CSAE (2022)
Yuexin Wu, Xiaolei Huang
Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification. CoRR (2022)
Yuexin Wu, Xiaolei Huang
A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. CIKM (2022)
Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
Large Language Models Can Self-Improve. CoRR (2022)
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. CoRR (2022)
Zhuoning Yuan, Yuexin Wu, Zihao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. CoRR (2022)
Chunxiao Fan, Wentong Chen, Yuexin Wu
Knowledge base question answering via path matching. Knowl. Based Syst. 256 (2022)
Zheng Wang, Yuexin Wu, Yang Bao, Jing Yu, Xiaohui Wang
Fusing Node Embeddings and Incomplete Attributes by Complement-Based Concatenation. Wirel. Commun. Mob. Comput. 2021 (2021)
Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
Knowledge Embedding Based Graph Convolutional Network. WWW (2021)
Chunxiao Fan, Siteng Chang, Yuexin Wu, Yitong Wang
An Emotion Analysis Model based on Fine-grained Emoji Attention Mechanism for Multi-modal. SmartIoT (2021)
Danhao Yang, Yuexin Wu, Chunxiao Fan
一种基于注意力机制的中文短文本关键词提取模型 (Chinese Short Text Keyphrase Extraction Model Based on Attention). 计算机科学 47 (1) (2020)
Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
Generalized Multi-Relational Graph Convolution Network. CoRR (2020)
Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong
TADO: Time-varying Attention with Dual-Optimizer Model. ICDM (2020)
Zhixiong Lou, Yuexin Wu, Chunxiao Fan, Wentong Chen
Aspect-Based Sentiment Analysis on Convolution Neural Network and Multi-Hierarchical Attention. TAAI (2020)
Yuexin Wu, Tianyu Gao, Hongtao Liu
GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. CoRR (2020)
Wentong Chen, Chunxiao Fan, Yuexin Wu, Zhixiong Lou
A Chinese Character-Level and Word-Level Complementary Text Classification Method. TAAI (2020)
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
Graph-Revised Convolutional Network. ECML/PKDD (3) (2020)
Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong
TADO: Time-varying Attention with Dual-Optimizer Model. CoRR (2020)
Yao Lai, Guolou Ping, Yuexin Wu, Chenhui Lu, Xiaojun Ye
OpenSMax: Unknown Domain Generation Algorithm Detection. ECAI (2020)
Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski
Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR (2019)
Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI (2019)
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR (2019)
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
Graph-Revised Convolutional Network. CoRR (2019)
Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. CoRR (2018)
Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang
RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. AAAI (2018)
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
StoryGAN: A Sequential Conditional GAN for Story Visualization. CoRR (2018)
Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh
Deep Learning for Epidemiological Predictions. SIGIR (2018)
Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
Contextual Encoding for Translation Quality Estimation. CoRR (2018)
Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. CoRR (2018)
Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
Contextual Encoding for Translation Quality Estimation. WMT (shared task) (2018)
Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. EMNLP (2018)
Yuexin Wu, Hanxiao Liu, Yiming Yang
Graph Convolutional Matrix Completion for Bipartite Edge Prediction. KDIR (2018)
Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang
Deep Learning for Extreme Multi-label Text Classification. SIGIR (2017)
Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang
Cross-Domain Kernel Induction for Transfer Learning. AAAI (2017)
Hanxiao Liu, Yuexin Wu, Yiming Yang
Analogical Inference for Multi-Relational Embeddings. CoRR (2017)
Hanxiao Liu, Yuexin Wu, Yiming Yang
Analogical Inference for Multi-relational Embeddings. ICML (2017)
Yuexin Wu, Zhe Jia, Yue Ming, Juanjuan Sun, Liujuan Cao
Human behavior recognition based on 3D features and hidden markov models. Signal Image Video Process. 10 (3) (2016)
Yuexin Wu, Chunxiao Fan
A gene based semantic encoding method for subsumption testing and LCA detection. IC-NIDC (2016)
Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov
Review Networks for Caption Generation. NIPS (2016)
Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen
Encode, Review, and Decode: Reviewer Module for Caption Generation. CoRR (2016)
Yichao Zhou, Yuexin Wu, Jianyang Zeng
Computational Protein Design Using AND/OR Branch-and-Bound Search. J. Comput. Biol. 23 (6) (2016)
Chunxiao Fan, Tianlin Zhao, Yuexin Wu, Nan Gong
Research on Classifying Web Information with Latent Semantic Based on Modified LDA Model. NaNA (2016)
Chunxiao Fan, Yuexin Wu, Jun Zhang, Tianlin Zhao
Research of public opinion hotspot detection model based on Web big data. IC-NIDC (2016)
Yichao Zhou, Yuexin Wu, Jianyang Zeng
Computational Protein Design Using AND/OR Branch-and-Bound Search. RECOMB (2015)
Yichao Zhou, Yuexin Wu, Jianyang Zeng
Computational Protein Design Using AND/OR Branch-and-Bound Search. CoRR (2014)
Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li
We know what you want to buy: a demographic-based system for product recommendation on microblogs. KDD (2014)
Xin Zhao, Yuexin Wu, Hongfei Yan, Xiaoming Li
Group based Self Training for E-Commerce Product Record Linkage. COLING (2014)
Zhigang Wen, Chunxiao Fan, Xiao-Ying Zhang, Yuexin Wu, Junwei Zou, Jie Liu
A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems. CIT (2010)
Yuexin Wu, Hui Zhao, Zhuang Fu, Yanzheng Zhao, Peibo Li
Auto-laydown robot for space solar module. Robotica 25 (5) (2007)