Chong Wang

Affiliations:
  • ByteDance
  • Google (former)
  • Princeton University, NJ, USA (PhD 2012)
  • Microsoft Research Asia, Sigma Center, Beijing, China (former)
  • Tsinghua University, Department of Automation, Beijing, China (former)


According to our database1, Chong Wang authored at least 82 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations.
CoRR, 2023

DPAUC: Differentially Private AUC Computation in Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Supervised Pretraining for Molecular Force Fields and Properties Prediction.
CoRR, 2022

Learning Regularized Positional Encoding for Molecular Prediction.
CoRR, 2022

Learning to Counterfactually Explain Recommendations.
CoRR, 2022

Collaborative Anomaly Detection.
CoRR, 2022

Differentially Private AUC Computation in Vertical Federated Learning.
CoRR, 2022

Differentially Private Label Protection in Split Learning.
CoRR, 2022

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.
CoRR, 2022

Counterfactually Evaluating Explanations in Recommender Systems.
CoRR, 2022

Learning to Simulate Unseen Physical Systems with Graph Neural Networks.
CoRR, 2022

Differentially private multi-party data release for linear regression.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

PathFlow: A normalizing flow generator that finds transition paths.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Label Leakage and Protection in Two-party Split Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks.
CoRR, 2021

Defending against Reconstruction Attack in Vertical Federated Learning.
CoRR, 2021

Vertical Federated Learning without Revealing Intersection Membership.
CoRR, 2021

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations.
CoRR, 2020

2019
Feature Partitioning for Efficient Multi-Task Architectures.
CoRR, 2019

Rate Distortion For Model Compression: From Theory To Practice.
Proceedings of the 36th International Conference on Machine Learning, 2019

Neural Logic Machines.
Proceedings of the 7th International Conference on Learning Representations, 2019

Fully Supervised Speaker Diarization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Thoracic Disease Identification and Localization with Limited Supervision.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Rate Distortion For Model Compression: From Theory To Practice.
CoRR, 2018

Attention-based Graph Neural Network for Semi-supervised Learning.
CoRR, 2018

Towards Neural Phrase-based Machine Translation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Subgoal Discovery for Hierarchical Dialogue Policy Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Thoracic Disease Identification and Localization With Limited Supervision.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Neural Phrase-based Machine Translation.
CoRR, 2017

Scaffolding Networks for Teaching and Learning to Comprehend.
CoRR, 2017

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sequence Modeling via Segmentations.
Proceedings of the 34th International Conference on Machine Learning, 2017

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016

2015
Nested Hierarchical Dirichlet Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Embarrassingly Parallel Variational Inference in Nonconjugate Models.
CoRR, 2015

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums.
CoRR, 2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
CoRR, 2015

2014
Dynamic Language Models for Streaming Text.
Trans. Assoc. Comput. Linguistics, 2014

Asymptotically Exact, Embarrassingly Parallel MCMC.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Modeling Citation Networks Using Latent Random Offsets.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS).
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Variational inference in nonconjugate models.
J. Mach. Learn. Res., 2013

Stochastic variational inference.
J. Mach. Learn. Res., 2013

A Nested HDP for Hierarchical Topic Models
Proceedings of the 1st International Conference on Learning Representations, 2013

Community Specific Temporal Topic Discovery from Social Media.
CoRR, 2013

Variance Reduction for Stochastic Gradient Optimization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Modeling Overlapping Communities with Node Popularities.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

An Adaptive Learning Rate for Stochastic Variational Inference.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Towards the taxonomy-oriented categorization of yellow pages queries.
ACM Trans. Internet Techn., 2012

A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process
CoRR, 2012

Truncation-free Online Variational Inference for Bayesian Nonparametric Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Online Variational Inference for the Hierarchical Dirichlet Process.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Collaborative topic modeling for recommending scientific articles.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Fast Large-scale Mixture Modeling with Component-specific Data Partitions.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Building and using a semantivisual image hierarchy.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Markov Topic Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Variational Inference for the Nested Chinese Restaurant Process.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Reading Tea Leaves: How Humans Interpret Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Simultaneous image classification and annotation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Continuous Time Dynamic Topic Models.
Proceedings of the UAI 2008, 2008

2007
Variational Bayesian Approach to Canonical Correlation Analysis.
IEEE Trans. Neural Networks, 2007

MusicSense: contextual music recommendation using emotional allocation modeling.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Mining geographic knowledge using location aware topic model.
Proceedings of the 4th ACM Workshop On Geographic Information Retrieval, 2007

Exploring LDA-Based Document Model for Geographic Information Retrieval.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

MSRA Columbus at GeoCLEF2007.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

Query Parsing Task for GeoCLEF2007 Report.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

2006
Links between PPCA and subspace methods for complete Gaussian density estimation.
IEEE Trans. Neural Networks, 2006

Robust Visual Tracking Via Incremental Maximum Margin Criterion.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Indexing implicit locations for geographical information retrieval.
Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006

MSRA Columbus at GeoCLEF 2006.
Proceedings of the Evaluation of Multilingual and Multi-modal Information Retrieval, 2006

MSRA Columbus at GeoCLEF 2006.
Proceedings of the Working Notes for CLEF 2006 Workshop co-located with the 10th European Conference on Digital Libraries (ECDL 2006), 2006

2005
Off-line Chinese signature verification based on support vector machines.
Pattern Recognit. Lett., 2005

An adaptive web page layout structure for small devices.
Multim. Syst., 2005

Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

2004
Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content.
Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, 2004

Improving Web Browsing on Small Devices Based on Table Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004


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