Yuexin Wu - RankMe

80 papers A* 17A 2B 2C 1Journal 37Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Joint Imbalance Adaptation for Radiology Report Generation. J. Heal. Informatics Res. Wang Li, Guangzeng Han, Yuexin Wu, I-Chan Huang, Xiaolei Huang
2025	J	`jnl`	LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs. CoRR Haoran Lou, Chunxiao Fan, Ziyan Liu, Yuexin Wu, Xinliang Wang
2025	J	`jnl`	MIMIC-SR-ICD11: A Dataset for Narrative-Based Diagnosis. CoRR Yuexin Wu, Shiqi Wang, Vasile Rus
2025	—	`conf`	MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection. ACL (1) Ziyan Liu, Chunxiao Fan, Haoran Lou, Yuexin Wu, Kaiwei Deng
2025	J	`jnl`	MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection. CoRR Ziyan Liu, Chunxiao Fan, Haoran Lou, Yuexin Wu, Kaiwei Deng
2024	—	`conf`	Distilling Text Style Transfer With Self-Explanation From LLMs. NAACL (Student Research Workshop) Chiyu Zhang, Honglong Cai, Yuezhang Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed
2024	J	`jnl`	Distilling Text Style Transfer With Self-Explanation From LLMs. CoRR Chiyu Zhang, Honglong Cai, Yuezhang Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed
2024	A*	`conf`	Enabling Lanuguage Models to Implicitly Learn Self-Improvement. ICLR Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2024	A*	`conf`	Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 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
2024	—	`conf`	Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. EMNLP (Findings) Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024	J	`jnl`	Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. CoRR Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024	J	`jnl`	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. Chuang Liu, Jianjun Zhou, Junwei Gan, Yuexin Wu, Yulong Huang, Jiahao Shao, Lingyi Ouyang
2024	J	`jnl`	UniAP: Protecting Speech Privacy With Non-Targeted Universal Adversarial Perturbations. IEEE Trans. Dependable Secur. Comput. Peng Cheng, Yuexin Wu, Yuan Hong, Zhongjie Ba, Feng Lin, Li Lu, Kui Ren
2023	—	`conf`	An Interactive Multi-task Learning Model for Aspect-Based Sentiment Analysis. ICCCS Bing Qian, Rongting Wei, Yuexin Wu, Chong Ma
2023	A*	`conf`	Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. ICLR Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
2023	A*	`conf`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS 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
2023	J	`jnl`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR 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
2023	—	`conf`	Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models. ICANN (2) Rongting Wei, Chunxiao Fan, Yuexin Wu
2023	J	`jnl`	Enable Language Models to Implicitly Learn Self-Improvement From Data. CoRR Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2023	J	`jnl`	Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR 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
2023	J	`jnl`	Improving rating predictions with time-varying attention and dual-optimizer. Appl. Intell. Zhengji Li, Yuexin Wu, Jin Yang, Jiangchuan Chen, Tianrui Li
2023	A*	`conf`	Large Language Models Can Self-Improve. EMNLP Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
2023	—	`conf`	MDVT: A Multi-modal Fake News Detection Framework based on Vision Transformer. MLNLP Yuexin Wu, Yi Tang, Chunxiao Fan, Yu Liu
2023	J	`jnl`	Span prompt dense passage retrieval for Chinese open domain question answering. J. Intell. Fuzzy Syst. Chunxiao Fan, Zhen Yan, Yuexin Wu, Bing Qian
2023	—	`conf`	Token Imbalance Adaptation for Radiology Report Generation. CHIL Yuexin Wu, I-Chan Huang, Xiaolei Huang
2023	J	`jnl`	Token Imbalance Adaptation for Radiology Report Generation. CoRR Yuexin Wu, I-Chan Huang, Xiaolei Huang
2022	A	`conf`	A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. CIKM Yuexin Wu, Xiaolei Huang
2022	J	`jnl`	Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. CoRR Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
2022	—	`conf`	Chinese Machine Reading Comprehension Based on Language Model Containing Knowledge. CSAE Wentong Chen, Chunxiao Fan, Yuexin Wu, Yitong Wang
2022	J	`jnl`	Knowledge base question answering via path matching. Knowl. Based Syst. Chunxiao Fan, Wentong Chen, Yuexin Wu
2022	J	`jnl`	Large Language Models Can Self-Improve. CoRR Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
2022	—	`—`	Learning with Graph Structures and Neural Networks Yuexin Wu
2022	A*	`conf`	Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. ICML Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang
2022	J	`jnl`	Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. CoRR Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang
2022	—	`conf`	Token Dropping for Efficient BERT Pretraining. ACL (1) Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
2022	J	`jnl`	Token Dropping for Efficient BERT Pretraining. CoRR Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
2022	—	`conf`	Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification. *SEM@NAACL-HLT Yuexin Wu, Xiaolei Huang
2022	J	`jnl`	Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification. CoRR Yuexin Wu, Xiaolei Huang
2021	—	`conf`	An Emotion Analysis Model based on Fine-grained Emoji Attention Mechanism for Multi-modal. SmartIoT Chunxiao Fan, Siteng Chang, Yuexin Wu, Yitong Wang
2021	J	`jnl`	Fusing Node Embeddings and Incomplete Attributes by Complement-Based Concatenation. Wirel. Commun. Mob. Comput. Zheng Wang, Yuexin Wu, Yang Bao, Jing Yu, Xiaohui Wang
2021	A*	`conf`	Knowledge Embedding Based Graph Convolutional Network. WWW Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
2020	—	`conf`	A Chinese Character-Level and Word-Level Complementary Text Classification Method. TAAI Wentong Chen, Chunxiao Fan, Yuexin Wu, Zhixiong Lou
2020	—	`conf`	Aspect-Based Sentiment Analysis on Convolution Neural Network and Multi-Hierarchical Attention. TAAI Zhixiong Lou, Yuexin Wu, Chunxiao Fan, Wentong Chen
2020	J	`jnl`	GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. CoRR Yuexin Wu, Tianyu Gao, Hongtao Liu
2020	J	`jnl`	Generalized Multi-Relational Graph Convolution Network. CoRR Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
2020	—	`conf`	Graph-Revised Convolutional Network. ECML/PKDD (3) Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
2020	A	`conf`	OpenSMax: Unknown Domain Generation Algorithm Detection. ECAI Yao Lai, Guolou Ping, Yuexin Wu, Chenhui Lu, Xiaojun Ye
2020	A*	`conf`	TADO: Time-varying Attention with Dual-Optimizer Model. ICDM Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong
2020	J	`jnl`	TADO: Time-varying Attention with Dual-Optimizer Model. CoRR Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong
2020	J	`jnl`	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 Danhao Yang, Yuexin Wu, Chunxiao Fan
2019	J	`jnl`	Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski
2019	J	`jnl`	Graph-Revised Convolutional Network. CoRR Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
2019	A*	`conf`	StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
2019	A*	`conf`	Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
2018	—	`conf`	Contextual Encoding for Translation Quality Estimation. WMT (shared task) Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
2018	J	`jnl`	Contextual Encoding for Translation Quality Estimation. CoRR Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
2018	A*	`conf`	Deep Learning for Epidemiological Predictions. SIGIR Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh
2018	—	`conf`	Graph Convolutional Matrix Completion for Bipartite Edge Prediction. KDIR Yuexin Wu, Hanxiao Liu, Yiming Yang
2018	A*	`conf`	RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. AAAI Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang
2018	J	`jnl`	StoryGAN: A Sequential Conditional GAN for Story Visualization. CoRR Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
2018	J	`jnl`	Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. CoRR Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
2018	A*	`conf`	Unsupervised Cross-lingual Transfer of Word Embedding Spaces. EMNLP Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
2018	J	`jnl`	Unsupervised Cross-lingual Transfer of Word Embedding Spaces. CoRR Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
2017	J	`jnl`	Analogical Inference for Multi-Relational Embeddings. CoRR Hanxiao Liu, Yuexin Wu, Yiming Yang
2017	A*	`conf`	Analogical Inference for Multi-relational Embeddings. ICML Hanxiao Liu, Yuexin Wu, Yiming Yang
2017	A*	`conf`	Cross-Domain Kernel Induction for Transfer Learning. AAAI Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang
2017	A*	`conf`	Deep Learning for Extreme Multi-label Text Classification. SIGIR Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang
2016	—	`conf`	A gene based semantic encoding method for subsumption testing and LCA detection. IC-NIDC Yuexin Wu, Chunxiao Fan
2016	J	`jnl`	Computational Protein Design Using AND/OR Branch-and-Bound Search. J. Comput. Biol. Yichao Zhou, Yuexin Wu, Jianyang Zeng
2016	J	`jnl`	Encode, Review, and Decode: Reviewer Module for Caption Generation. CoRR Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen
2016	J	`jnl`	Human behavior recognition based on 3D features and hidden markov models. Signal Image Video Process. Yuexin Wu, Zhe Jia, Yue Ming, Juanjuan Sun, Liujuan Cao
2016	—	`conf`	Research of public opinion hotspot detection model based on Web big data. IC-NIDC Chunxiao Fan, Yuexin Wu, Jun Zhang, Tianlin Zhao
2016	—	`conf`	Research on Classifying Web Information with Latent Semantic Based on Modified LDA Model. NaNA Chunxiao Fan, Tianlin Zhao, Yuexin Wu, Nan Gong
2016	—	`conf`	Review Networks for Caption Generation. NIPS Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov
2015	B	`conf`	Computational Protein Design Using AND/OR Branch-and-Bound Search. RECOMB Yichao Zhou, Yuexin Wu, Jianyang Zeng
2014	J	`jnl`	Computational Protein Design Using AND/OR Branch-and-Bound Search. CoRR Yichao Zhou, Yuexin Wu, Jianyang Zeng
2014	B	`conf`	Group based Self Training for E-Commerce Product Record Linkage. COLING Xin Zhao, Yuexin Wu, Hongfei Yan, Xiaoming Li
2014	A*	`conf`	We know what you want to buy: a demographic-based system for product recommendation on microblogs. KDD Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li
2010	C	`conf`	A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems. CIT Zhigang Wen, Chunxiao Fan, Xiao-Ying Zhang, Yuexin Wu, Junwei Zou, Jie Liu
2007	J	`jnl`	Auto-laydown robot for space solar module. Robotica Yuexin Wu, Hui Zhao, Zhuang Fu, Yanzheng Zhao, Peibo Li