Wei Wei

Orcid: 0009-0005-4217-0918

Affiliations:
  • Google Research, Mountain View, CA, USA
  • Carnegie Mellon University, Heinz College / Institute for Software Research, Pittsburgh, PA, USA (former)


According to our database1, Wei Wei authored at least 52 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models.
CoRR, 2024

2023
Document Entity Retrieval with Massive and Noisy Pre-training.
CoRR, 2023

VRDU: A Benchmark for Visually-rich Document Understanding.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DocumentNet: Bridging the Data Gap in Document Pre-training.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A Benchmark for Structured Extractions from Complex Documents.
CoRR, 2022

2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module.
CoRR, 2021

Variational Deep Knowledge Tracing for Language Learning.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Overcoming Catastrophic Forgetting by Bayesian Generative Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Contextual Temperature for Language Modeling.
CoRR, 2020

Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks.
CoRR, 2020

Differentiable Top-k Operator with Optimal Transport.
CoRR, 2020

Differentiable Top-k with Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Question Answering with Long Multiple-Span Answers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Remix: Rebalanced Mixup.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

InstaNAS: Instance-Aware Neural Architecture Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Overcoming Catastrophic Forgetting by Generative Regularization.
CoRR, 2019

Learning with Hierarchical Complement Objective.
CoRR, 2019

Natural Adversarial Sentence Generation with Gradient-based Perturbation.
CoRR, 2019

A Hierarchical Attention Retrieval Model for Healthcare Question Answering.
Proceedings of the World Wide Web Conference, 2019

Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Meta Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Complement Objective Training.
Proceedings of the 7th International Conference on Learning Representations, 2019

COCO-GAN: Generation by Parts via Conditional Coordinating.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Improving Adversarial Robustness via Guided Complement Entropy.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

On the Robustness of Self-Attentive Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 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
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning.
CoRR, 2018

PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures.
Proceedings of the 6th International Conference on Learning Representations, 2018

Searching toward pareto-optimal device-aware neural architectures.
Proceedings of the International Conference on Computer-Aided Design, 2018

DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures.
Proceedings of the Computer Vision - ECCV 2018, 2018

Escaping from Collapsing Modes in a Constrained Space.
Proceedings of the Computer Vision - ECCV 2018, 2018

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

2017
Efficient Online Inference for Infinite Evolutionary Cluster models with Applications to Latent Social Event Discovery.
CoRR, 2017

A Probabilistic Framework for Location Inference from Social Media.
CoRR, 2017

A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Girls Rule, Boys Drool: Extracting Semantic and Affective Stereotypes from Twitter.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Probabilistic Models of Topics and Social Events.
PhD thesis, 2016

Exploring characteristics of suspended users and network stability on Twitter.
Soc. Netw. Anal. Min., 2016

Exploring Patterns of Identity Usage in Tweets: A New Problem, Solution and Case Study.
Proceedings of the 25th International Conference on World Wide Web, 2016

Microblog Sentiment Topic Model.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

High-dimensional network analytics: mapping topic networks in Twitter data during the Arab Spring.
Proceedings of the Big Data over Networks, 2016

2015
Measuring Temporal Patterns in Dynamic Social Networks.
ACM Trans. Knowl. Discov. Data, 2015

An agent-based model of edit wars in wikipedia: how and when is consensus reached.
Proceedings of the 2015 Winter Simulation Conference, 2015

A Bayesian Graphical Model to Discover Latent Events from Twitter.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

The Fragility of Twitter Social Networks Against Suspended Users.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2013
An Agent-Based Model for Simultaneous Phone and SMS Traffic over Time.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013


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