| 2026 | LREC | Persona-Conditioned Generation of Patient Self-Reports from EHRs. | Yuexin Wu, Jianming Wei, Vasile Rus |
| 2025 | ACL | MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection. | Ziyan Liu, Chunxiao Fan, Haoran Lou, Yuexin Wu, Kaiwei Deng |
| 2025 | ICCV | LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs. | Haoran Lou, Chunxiao Fan, Ziyan Liu, Yuexin Wu, Xinliang Wang |
| 2024 | EMNLP | Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. | Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang |
| 2024 | ICLR | Enabling Lanuguage Models to Implicitly Learn Self-Improvement. | Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji |
| 2024 | ICLR | Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. | 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 | NAACL | Distilling Text Style Transfer With Self-Explanation From LLMs. | Chiyu Zhang, Honglong Cai, Yuezhang Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed |
| 2023 | EMNLP | Large Language Models Can Self-Improve. | Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han |
| 2023 | ICANN | Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models. | Rongting Wei, Chunxiao Fan, Yuexin Wu |
| 2023 | ICLR | Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. | Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji |
| 2022 | ACL | Token Dropping for Efficient BERT Pretraining. | Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou |
| 2022 | CIKM | A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. | Yuexin Wu, Xiaolei Huang |
| 2022 | ICML | Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. | Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang |
| 2021 | WWW | Knowledge Embedding Based Graph Convolutional Network. | Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu |
| 2020 | ECAI | OpenSMax: Unknown Domain Generation Algorithm Detection. | Yao Lai, Guolou Ping, Yuexin Wu, Chenhui Lu, Xiaojun Ye |
| 2020 | ICDM | TADO: Time-varying Attention with Dual-Optimizer Model. | Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong |
| 2019 | AAAI | Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. | Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang |
| 2019 | CVPR | StoryGAN: A Sequential Conditional GAN for Story Visualization. | Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao |
| 2018 | AAAI | RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. | Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang |
| 2018 | EMNLP | Unsupervised Cross-lingual Transfer of Word Embedding Spaces. | Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu |
| 2018 | IC3K | Graph Convolutional Matrix Completion for Bipartite Edge Prediction. | Yuexin Wu, Hanxiao Liu, Yiming Yang |
| 2018 | SIGIR | Deep Learning for Epidemiological Predictions. | Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh |
| 2017 | AAAI | Cross-Domain Kernel Induction for Transfer Learning. | Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang |
| 2017 | ICML | Analogical Inference for Multi-relational Embeddings. | Hanxiao Liu, Yuexin Wu, Yiming Yang |
| 2017 | SIGIR | Deep Learning for Extreme Multi-label Text Classification. | Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang |
| 2015 | RECOMB | Computational Protein Design Using AND/OR Branch-and-Bound Search. | Yichao Zhou, Yuexin Wu, Jianyang Zeng |
| 2014 | COLING | Group based Self Training for E-Commerce Product Record Linkage. | Xin Zhao, Yuexin Wu, Hongfei Yan, Xiaoming Li |
| 2014 | KDD | We know what you want to buy: a demographic-based system for product recommendation on microblogs. | Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li |