| 2023 | ICCV | BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. | Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang |
| 2023 | ICML | mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. | Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou |
| 2023 | KDD | LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. | Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao |
| 2022 | EMNLP | TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. | Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang |
| 2022 | EMNLP | mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. | Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si |
| 2021 | AAAI | A Unified Pretraining Framework for Passage Ranking and Expansion. | Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang |
| 2021 | ACL | StructuralLM: Structural Pre-training for Form Understanding. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2021 | ACL | Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang |
| 2021 | ACL | VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation. | Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si |
| 2021 | ACL | E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. | Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang |
| 2021 | SIGIR | AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. | Guohai Xu, Yan Shao, Chenliang Li, Feng-Lin Li, Bin Bi, Ji Zhang, Haiqing Chen |
| 2020 | AAAI | Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
| 2020 | EMNLP | PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. | Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2020 | ICLR | StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. | Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si |
| 2019 | AAAI | A Deep Cascade Model for Multi-Document Reading Comprehension. | Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen |
| 2019 | EMNLP | Incorporating External Knowledge into Machine Reading for Generative Question Answering. | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
| 2016 | WWW | Modeling a Retweet Network via an Adaptive Bayesian Approach. | Bin Bi, Junghoo Cho |
| 2015 | SAC | A universal topic framework (UniZ) and its application in online search. | Youngchul Cha, Keng-hao Chang, Hari Bommaganti, Ye Chen, Tak W. Yan, Bin Bi, Junghoo Cho |
| 2015 | WSDM | Learning to Recommend Related Entities to Search Users. | Bin Bi, Hao Ma, Bo-June Paul Hsu, Wei Chu, Kuansan Wang, Junghoo Cho |
| 2014 | KDD | Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services. | Bin Bi, Ben Kao, Chang Wan, Junghoo Cho |
| 2014 | WSDM | Scalable topic-specific influence analysis on microblogs. | Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho |
| 2013 | CIKM | Automatically generating descriptions for resources by tag modeling. | Bin Bi, Junghoo Cho |
| 2013 | WWW | Inferring the demographics of search users: social data meets search queries. | Bin Bi, Milad Shokouhi, Michal Kosinski, Thore Graepel |
| 2013 | SIGIR | Incorporating popularity in topic models for social network analysis. | Youngchul Cha, Bin Bi, Chu-Cheng Hsieh, Junghoo Cho |
| 2012 | CIKM | DQR: a probabilistic approach to diversified query recommendation. | Ruirui Li, Ben Kao, Bin Bi, Reynold Cheng, Eric Lo |
| 2011 | ICDE | CubeLSI: An effective and efficient method for searching resources in social tagging systems. | Bin Bi, Sau Dan Lee, Ben Kao, Reynold Cheng |
| 2009 | CIKM | Collaborative resource discovery in social tagging systems. | Bin Bi, Lifeng Shang, Ben Kao |