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2020 – today
- 2022
[i14]Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si:
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. CoRR abs/2205.12005 (2022)- 2021
- [c24]Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang:
A Unified Pretraining Framework for Passage Ranking and Expansion. AAAI 2021: 4555-4563 - [c23]Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang:
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. ACL/IJCNLP (1) 2021: 503-513 - [c22]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang:
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. ACL/IJCNLP (2) 2021: 942-947 - [c21]Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si:
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation. ACL/IJCNLP (1) 2021: 3980-3994 - [c20]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. ACL/IJCNLP (1) 2021: 6309-6318 - [c19]Guohai Xu, Yan Shao, Chenliang Li, Feng-Lin Li, Bin Bi, Ji Zhang, Haiqing Chen:
AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. SIGIR 2021: 2637-2638 - [i13]Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang:
SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels. CoRR abs/2103.07829 (2021) - [i12]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. CoRR abs/2105.11210 (2021) - [i11]Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang:
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. CoRR abs/2106.01804 (2021) - [i10]Ming Yan, Haiyang Xu, Chenliang Li, Bin Bi, Junfeng Tian, Min Gui, Wei Wang:
Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training. CoRR abs/2108.09479 (2021) - [i9]Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. CoRR abs/2111.08896 (2021) - 2020
- [c18]Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. AAAI 2020: 7424-7431 - [c17]Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. EMNLP (1) 2020: 8681-8691 - [c16]Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si:
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. ICLR 2020 - [c15]Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush
:
Latent Template Induction with Gumbel-CRFs. NeurIPS 2020 - [i8]Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang:
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. CoRR abs/2004.07159 (2020) - [i7]Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si:
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation. CoRR abs/2010.16046 (2020) - [i6]Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush:
Latent Template Induction with Gumbel-CRFs. CoRR abs/2011.14244 (2020)
2010 – 2019
- 2019
- [c14]Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen:
A Deep Cascade Model for Multi-Document Reading Comprehension. AAAI 2019: 7354-7361 - [c13]Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Incorporating External Knowledge into Machine Reading for Generative Question Answering. EMNLP/IJCNLP (1) 2019: 2521-2530 - [c12]Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si:
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. TREC 2019 - [i5]Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Liwei Peng, Luo Si:
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. CoRR abs/1908.04577 (2019) - [i4]Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Incorporating External Knowledge into Machine Reading for Generative Question Answering. CoRR abs/1909.02745 (2019) - [i3]Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang:
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. CoRR abs/1909.03405 (2019) - 2018
- [i2]Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen:
A Deep Cascade Model for Multi-Document Reading Comprehension. CoRR abs/1811.11374 (2018) - 2017
- [i1]Bin Bi, Hao Ma:
KeyVec: Key-semantics Preserving Document Representations. CoRR abs/1709.09749 (2017) - 2016
- [c11]Bin Bi, Junghoo Cho:
Modeling a Retweet Network via an Adaptive Bayesian Approach. WWW 2016: 459-469 - 2015
- [b1]Bin Bi:
Bayesian Modeling for Analyzing Online Content and Users. University of California, Los Angeles, USA, 2015 - [c10]Youngchul Cha, Keng-hao Chang, Hari Bommaganti, Ye Chen, Tak W. Yan, Bin Bi, Junghoo Cho:
A universal topic framework (UniZ) and its application in online search. SAC 2015: 1078-1085 - [c9]Bin Bi, Hao Ma, Bo-June Paul Hsu, Wei Chu, Kuansan Wang, Junghoo Cho:
Learning to Recommend Related Entities to Search Users. WSDM 2015: 139-148 - 2014
- [c8]Bin Bi, Ben Kao, Chang Wan, Junghoo Cho:
Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services. KDD 2014: 1506-1515 - [c7]Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho:
Scalable topic-specific influence analysis on microblogs. WSDM 2014: 513-522 - 2013
- [c6]Bin Bi, Junghoo Cho:
Automatically generating descriptions for resources by tag modeling. CIKM 2013: 2387-2392 - [c5]Youngchul Cha, Bin Bi, Chu-Cheng Hsieh, Junghoo Cho:
Incorporating popularity in topic models for social network analysis. SIGIR 2013: 223-232 - [c4]Bin Bi, Milad Shokouhi, Michal Kosinski, Thore Graepel:
Inferring the demographics of search users: social data meets search queries. WWW 2013: 131-140 - 2012
- [c3]Ruirui Li, Ben Kao, Bin Bi, Reynold Cheng, Eric Lo:
DQR: a probabilistic approach to diversified query recommendation. CIKM 2012: 16-25 - 2011
- [c2]Bin Bi, Sau Dan Lee, Ben Kao, Reynold Cheng:
CubeLSI: An effective and efficient method for searching resources in social tagging systems. ICDE 2011: 27-38
2000 – 2009
- 2009
- [c1]Bin Bi, Lifeng Shang, Ben Kao:
Collaborative resource discovery in social tagging systems. CIKM 2009: 1919-1922 - 2008
- [j1]Dahong Qiu, Ye Wang, Bin Bi:
Identify Cross-Selling Opportunities via Hybrid Classifier. Int. J. Data Warehous. Min. 4(2): 55-62 (2008)
Coauthor Index
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