Auto-laydown robot for space solar module. - Yuexin Wu; Hui Zhao; Zhuang Fu; Yanzheng Zhao; Peibo Li (Robotica, 2007)

A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems. - Zhigang Wen; Chunxiao Fan 001; Xiao-Ying Zhang; Yuexin Wu; Junwei Zou; Jie Liu (CIT, 2010)

Group based Self Training for E-Commerce Product Record Linkage. - Xin Zhao; Yuexin Wu; Hongfei Yan; Xiaoming Li (COLING, 2014)

We know what you want to buy: a demographic-based system for product recommendation on microblogs. - Wayne Xin Zhao; Yanwei Guo; Yulan He 001; Han Jiang; Yuexin Wu; Xiaoming Li 001 (KDD, 2014)

Research of public opinion hotspot detection model based on Web big data. - Chunxiao Fan 001; Yuexin Wu; Jun Zhang; Tianlin Zhao (IC-NIDC, 2016)

A gene based semantic encoding method for subsumption testing and LCA detection. - Yuexin Wu; Chunxiao Fan 001 (IC-NIDC, 2016)

Research on Classifying Web Information with Latent Semantic Based on Modified LDA Model. - Chunxiao Fan 001; Tianlin Zhao; Yuexin Wu; Nan Gong (NaNA, 2016)

Review Networks for Caption Generation. - Zhilin Yang 001; Ye Yuan; Yuexin Wu; William W. Cohen; Ruslan Salakhutdinov (NIPS, 2016)

Encode, Review, and Decode: Reviewer Module for Caption Generation. - Zhilin Yang 001; Ye Yuan; Yuexin Wu; Ruslan Salakhutdinov; William W. Cohen (CoRR, 2016)

Computational Protein Design Using AND/OR Branch-and-Bound Search. - Yichao Zhou; Yuexin Wu; Jianyang Zeng 001 (J. Comput. Biol., 2016)

Human behavior recognition based on 3D features and hidden markov models. - Yuexin Wu; Zhe Jia; Yue Ming 001; Juanjuan Sun; Liujuan Cao (Signal Image Video Process., 2016)

Cross-Domain Kernel Induction for Transfer Learning. - Wei-Cheng Chang; Yuexin Wu; Hanxiao Liu; Yiming Yang (AAAI, 2017)

Analogical Inference for Multi-relational Embeddings. - Hanxiao Liu; Yuexin Wu; Yiming Yang (ICML, 2017)

Deep Learning for Extreme Multi-label Text Classification. - Jingzhou Liu; Wei-Cheng Chang; Yuexin Wu; Yiming Yang (SIGIR, 2017)

RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. - Zheng Wang 045; Xiaojun Ye; Chaokun Wang; Yuexin Wu; Changping Wang; Kaiwen Liang (AAAI, 2018)

Unsupervised Cross-lingual Transfer of Word Embedding Spaces. - Ruochen Xu; Yiming Yang; Naoki Otani; Yuexin Wu (EMNLP, 2018)

Graph Convolutional Matrix Completion for Bipartite Edge Prediction. - Yuexin Wu; Hanxiao Liu; Yiming Yang (KDIR, 2018)

Deep Learning for Epidemiological Predictions. - Yuexin Wu; Yiming Yang; Hiroshi Nishiura; Masaya Saitoh (SIGIR, 2018)

Contextual Encoding for Translation Quality Estimation. - Junjie Hu 001; Wei-Cheng Chang; Yuexin Wu; Graham Neubig (WMT (shared task), 2018)

Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. - Yuexin Wu; Xiujun Li; Jingjing Liu 001; Jianfeng Gao 001; Yiming Yang (AAAI, 2019)

StoryGAN: A Sequential Conditional GAN for Story Visualization. - Yitong Li 001; Zhe Gan; Yelong Shen; Jingjing Liu 001; Yu Cheng 001; Yuexin Wu; Lawrence Carin; David E. Carlson; Jianfeng Gao 001 (CVPR, 2019)

Active Learning for Graph Neural Networks via Node Feature Propagation. - Yuexin Wu; Yichong Xu; Aarti Singh; Yiming Yang; Artur Dubrawski (CoRR, 2019)

OpenSMax: Unknown Domain Generation Algorithm Detection. - Yao Lai; Guolou Ping; Yuexin Wu; Chenhui Lu; Xiaojun Ye (ECAI, 2020)

TADO: Time-varying Attention with Dual-Optimizer Model. - Yuexin Wu; Tianyu Gao; Sihao Wang; Zhongmin Xiong (ICDM, 2020)

Graph-Revised Convolutional Network. - Donghan Yu; Ruohong Zhang; Zhengbao Jiang; Yuexin Wu; Yiming Yang (ECML/PKDD (3), 2020)

A Chinese Character-Level and Word-Level Complementary Text Classification Method. - Wentong Chen; Chunxiao Fan 001; Yuexin Wu; Zhixiong Lou (TAAI, 2020)

Aspect-Based Sentiment Analysis on Convolution Neural Network and Multi-Hierarchical Attention. - Zhixiong Lou; Yuexin Wu; Chunxiao Fan 001; Wentong Chen (TAAI, 2020)

Generalized Multi-Relational Graph Convolution Network. - Donghan Yu; Yiming Yang; Ruohong Zhang; Yuexin Wu (CoRR, 2020)

GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. - Yuexin Wu; Tianyu Gao; Hongtao Liu (CoRR, 2020)

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). - Danhao Yang; Yuexin Wu; Chunxiao Fan 001 (计算机科学, 2020)

An Emotion Analysis Model based on Fine-grained Emoji Attention Mechanism for Multi-modal. - Chunxiao Fan 001; Siteng Chang; Yuexin Wu; Yitong Wang (SmartIoT, 2021)

Knowledge Embedding Based Graph Convolutional Network. - Donghan Yu; Yiming Yang; Ruohong Zhang; Yuexin Wu (WWW, 2021)

Fusing Node Embeddings and Incomplete Attributes by Complement-Based Concatenation. - Zheng Wang; Yuexin Wu; Yang Bao 003; Jing Yu; Xiaohui Wang 004 (Wirel. Commun. Mob. Comput., 2021)

Token Dropping for Efficient BERT Pretraining. - Le Hou; Richard Yuanzhe Pang; Tianyi Zhou 001; Yuexin Wu; Xinying Song; Xiaodan Song; Denny Zhou (ACL (1), 2022)

A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. - Yuexin Wu; Xiaolei Huang 002 (CIKM, 2022)

Chinese Machine Reading Comprehension Based on Language Model Containing Knowledge. - Wentong Chen; Chunxiao Fan 001; Yuexin Wu; Yitong Wang (CSAE, 2022)

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. - Zhuoning Yuan; Yuexin Wu; Zi-Hao Qiu; Xianzhi Du; Lijun Zhang 005; Denny Zhou; Tianbao Yang (ICML, 2022)

Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification. - Yuexin Wu; Xiaolei Huang 002 (*SEM@NAACL-HLT, 2022)

Knowledge base question answering via path matching. - Chunxiao Fan 001; Wentong Chen; Yuexin Wu (Knowl. Based Syst., 2022)

Learning with Graph Structures and Neural Networks - Yuexin Wu (2022)

An Interactive Multi-task Learning Model for Aspect-Based Sentiment Analysis. - Bing Qian; Rongting Wei; Yuexin Wu; Chong Ma (ICCCS, 2023)

Token Imbalance Adaptation for Radiology Report Generation. - Yuexin Wu; I-Chan Huang; Xiaolei Huang 002 (CHIL, 2023)

Large Language Models Can Self-Improve. - Jiaxin Huang 001; Shixiang Gu; Le Hou; Yuexin Wu; Xuezhi Wang 002; Hongkun Yu 001; Jiawei Han 001 (EMNLP, 2023)

Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models. - Rongting Wei; Chunxiao Fan 001; Yuexin Wu (ICANN (2), 2023)

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. - Ziqi Wang 003; Yuexin Wu; Frederick Liu; Daogao Liu; Le Hou; Hongkun Yu 001; Jing Li 049; Heng Ji 001 (ICLR, 2023)

MDVT: A Multi-modal Fake News Detection Framework based on Vision Transformer. - Yuexin Wu; Yi Tang; Chunxiao Fan 001; Yu Liu (MLNLP, 2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. - Tao Lei; Junwen Bai; Siddhartha Brahma; Joshua Ainslie; Kenton Lee; Yanqi Zhou; Nan Du 002; Vincent Y. Zhao; Yuexin Wu; Bo Li 028; Yu Zhang 033; Ming-Wei Chang (NeurIPS, 2023)

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (CoRR, 2023)

Enable Language Models to Implicitly Learn Self-Improvement From Data. - Ziqi Wang 003; Le Hou; Tianjian Lu; Yuexin Wu; Yunxuan Li; Hongkun Yu 001; Heng Ji 001 (CoRR, 2023)

Improving rating predictions with time-varying attention and dual-optimizer. - Zhengji Li; Yuexin Wu; Jin Yang; Jiangchuan Chen; Tianrui Li 001 (Appl. Intell., 2023)

Span prompt dense passage retrieval for Chinese open domain question answering. - Chunxiao Fan 001; Zhen Yan; Yuexin Wu; Bing Qian (J. Intell. Fuzzy Syst., 2023)

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. - Zihan Wang 001; Yunxuan Li; Yuexin Wu; Liangchen Luo; Le Hou; Hongkun Yu 001; Jingbo Shang (EMNLP (Findings), 2024)

Enabling Lanuguage Models to Implicitly Learn Self-Improvement. - Ziqi Wang 003; Le Hou; Tianjian Lu; Yuexin Wu; Yunxuan Li; Hongkun Yu 001; Heng Ji 001 (ICLR, 2024)

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (ICLR, 2024)

Distilling Text Style Transfer With Self-Explanation From LLMs. - Chiyu Zhang; Honglong Cai; Yuezhang Li; Yuexin Wu; Le Hou; Muhammad Abdul-Mageed (NAACL (Student Research Workshop), 2024)

UniAP: Protecting Speech Privacy With Non-Targeted Universal Adversarial Perturbations. - Peng Cheng 007; Yuexin Wu; Yuan Hong 001; Zhongjie Ba; Feng Lin 004; Li Lu 008; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Optimizing the ground intra-city express delivery network: An integrated multiple centrality assessment, multi-criteria decision-making, and multi-objective integer programming model. - Chuang Liu; Jianjun Zhou; Junwei Gan; Yuexin Wu; Yulong Huang; Jiahao Shao; Lingyi Ouyang (J. Intell. Transp. Syst., 2024)

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection. - Ziyan Liu; Chunxiao Fan 001; Haoran Lou; Yuexin Wu; Kaiwei Deng (ACL (1), 2025)

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs. - Haoran Lou; Chunxiao Fan 001; Ziyan Liu; Yuexin Wu; Xinliang Wang (CoRR, 2025)