Bing Bai

发表

Learning to rank with (a lot of) word features

Yanjun Qi, Jason Weston, Bing Bai, 2010, Information Retrieval.

Supervised semantic indexing

Yanjun Qi, Jason Weston, Bing Bai, 2009, ECIR.

Sparse Latent Semantic Analysis

Xi Chen, Yanjun Qi, Jaime G. Carbonell, 2011, SDM.

Polynomial Semantic Indexing

Yanjun Qi, Jason Weston, Bing Bai, 2009, NIPS.

GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction

Bing Bai, Chunyu Wei, Kun Bai, 2022, WWW.

Syntactic Ambiguity Resolution of Cantonese-English Bilinguals: Evidence from Prepositional Phrase and Adverb

Bing Bai, 2018 .

Supervised Semantic Indexing for Ranking Documents

J. Weston, David Grangier, Ronan Collobert, 2009 .

Contrastive Multi-view Hyperbolic Hierarchical Clustering

Zenglin Xu, Bing Bai, Kun Bai, 2022, IJCAI.

Network Reparameterization for Unseen Class Categorization

Yun Fu, Kai Li, Martin Renqiang Min, 2018 .

TFGAN: Improving Conditioning for Text-to-Video Synthesis

Rama Chellappa, Martin Renqiang Min, Bing Bai, 2018 .

Feature extraction and matching in content-based retrieval of functional magnetic resonance images

Paul B. Kantor, Bing Bai, Bing Bai, 2007 .

Answer Extraction by Recursive Parse Tree Descent

Bing Bai, Christopher Malon, Bing Bai, 2013, CVSM@ACL.

A reconsideration of the syntax of Chinese relative structures

Bing Bai, Cai-Mei Yang, Tiao-Yuan Mao, 2020, Lingua.

Bayesian models for Large-scale Hierarchical Classification

Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil, 2012, NIPS.

A model for quantitative evaluation of an end-to-end question-answering system

Nina Wacholder, Paul B. Kantor, Ying Sun, 2007, J. Assoc. Inf. Sci. Technol..

Semantic integration of multidimensional perceptual information in L1 sentence comprehension

Bing Bai, Caimei Yang, Jia-bao Fan, 2021, Language and Cognition.

A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations pdf

Fei Wang, Mingkai Huang, Hao Li, 2020, ArXiv.

Domain Agnostic Learning for Unbiased Authentication

Shuang Li, Fei Wang, Bing Bai, 2020, ArXiv.

Why Attentions May Not Be Interpretable?

Bing Bai, Kun Bai, Jian Liang, 2020, KDD.

Joint feature extraction and classification in a unified framework for cost-sensitive face recognition

Jianwu Wan, Bing Bai, Yin-Juan Chen, 2021, Pattern Recognit..

The institutional dimension of document quality judgments

Paul B. Kantor, Ying Sun, Bing Bai, 2005, ASIST.

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting

Conghui Zhu, Bing Bai, Guanhua Zhang, 2020, ACL.

Hybrid Differentially Private Federated Learning on Vertically Partitioned Data pdf

Mingkai Huang, Hao Li, Chang Wang, 2020, ArXiv.

Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis

Rama Chellappa, Martin Renqiang Min, Bing Bai, 2019, IJCAI.

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Tiejun Zhao, Conghui Zhu, Mo Yu, 2019, ACL.

Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval

Ali Shokoufandeh, Paul B. Kantor, Bing Bai, 2007, MICCAI.

Adversarial Infidelity Learning for Model Interpretation

Bing Bai, Kun Bai, Jian Liang, 2020, KDD.

Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets

Bing Bai, Kun Bai, Shengwei Zhao, 2022, AAAI.

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction

Yanjun Qi, Vladimir Pavlovic, Jason Weston, 2010, ECML/PKDD.

Incorporating Field-aware Deep Embedding Networks and Gradient Boosting Decision Trees for Music Recommendation

Yushun Fan, Bing Bai, Bing Bai, 2018 .

Generating Followup Questions for Interpretable Multi-hop Question Answering pdf

Christopher Malon, Bing Bai, Bing Bai, 2020, ArXiv.

fMRI Brain Image Retrieval Based on ICA Components

D. Silver, A. Shokoufandeh, Bing Bai, 2007, Eighth Mexican International Conference on Current Trends in Computer Science (ENC 2007).

Half Transductive Ranking

Jason Weston, Bing Bai, Mehryar Mohri, 2010, AISTATS.

Learning Preferences with Millions of Parameters by Enforcing Sparsity

Xi Chen, Yanjun Qi, Jaime G. Carbonell, 2010, 2010 IEEE International Conference on Data Mining.

ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise

Zenglin Xu, Chenbin Zhang, Bing Bai, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Automated judgment of document qualities

Ying Sun, Bing Bai, P. Kantor, 2006, J. Assoc. Inf. Sci. Technol..

Sentiment Classification with Supervised Sequence Embedding

Yanjun Qi, Ali Shokoufandeh, Bing Bai, 2012, ECML/PKDD.

Detecting Positive Medical History Mentions

Bing Bai, Robert Stewart, Pierre-François Laquerre, 2017, SIGIR.

Large-scale image classification using supervised spatial encoder

Yanjun Qi, Ali Shokoufandeh, Bing Bai, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

CSRN: Collaborative Sequential Recommendation Networks for News Retrieval pdf

Hao Li, Kun Bai, Bing Bai, 2020, ArXiv.

Leveraging knowledge bases for future prediction with memory comparison networks

Yotaro Watanabe, Bing Bai, Ramkumar Rajendran, 2018, AI Commun..

Dynamic Hypergraph Learning for Collaborative Filtering

Bing Bai, Chunyu Wei, Jian Liang, 2022, CIKM.

Boosting Graph Contrastive Learning via Graph Contrastive Saliency

Bing Bai, Yu Wang, Chunyu Wei, 2023, International Conference on Machine Learning.