Bo Wu

Orcid: 0000-0001-6658-6452

Affiliations:
  • MIT-IBM Watson AI Lab, Cambridge, MA, USA
  • Columbia University, NY, USA (former)
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (PhD 2017)


According to our database1, Bo Wu authored at least 42 papers between 2016 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Scene Graph Refinement Network for Visual Question Answering.
IEEE Trans. Multim., 2023

SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reproducibility Companion Paper: MeTILDA - Platform for Melodic Transcription in Language Documentation and Application.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Learning Situation Hyper-Graphs for Video Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning from Children: Improving Image-Caption Pretraining via Curriculum.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Personalized Dialogue Generation with Persona-Adaptive Attention.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
RL-Recruiter+: Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2022

Text-instance graph: Exploring the relational semantics for text-based visual question answering.
Pattern Recognit., 2022

Attention-guided transformation-invariant attack for black-box adversarial examples.
Int. J. Intell. Syst., 2022

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

VLS: Vehicle Tail Light Signal Detection Benchmark.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
STAR: A Benchmark for Situated Reasoning in Real-World Videos.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Counterfactual Debiasing Inference for Compositional Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Token-Level Supervised Contrastive Learning for Punctuation Restoration.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Bilateral Autotrading Framework for Stock Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters.
IEEE Trans. Knowl. Data Eng., 2020

Analogical Reasoning for Visually Grounded Language Acquisition.
CoRR, 2020

What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 2020

Video Synthesis via Transform-Based Tensor Neural Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning the Compositional Visual Coherence for Complementary Recommendations.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Detection by Attack: Detecting Adversarial Samples by Undercover Attack.
Proceedings of the Computer Security - ESORICS 2020, 2020

MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Enhancing Neural Models with Vulnerability via Adversarial Attack.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

GAIA: A Fine-grained Multimedia Knowledge Extraction System.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

General Partial Label Learning via Dual Bipartite Graph Autoencoder.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Theme-Matters: Fashion Compatibility Learning via Theme Attention.
CoRR, 2019

SMP Challenge: An Overview of Social Media Prediction Challenge 2019.
CoRR, 2019

Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network.
CoRR, 2019

Hard-Aware Fashion Attribute Classification.
CoRR, 2019

MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning.
CoRR, 2019


Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

SMP Challenge: An Overview of Social Media Prediction Challenge 2019.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Dressing for Attention: Outfit Based Fashion Popularity Prediction.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017
Fashion World Map: Understanding Cities Through Streetwear Fashion.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Time Matters: Multi-scale Temporalization of Social Media Popularity.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


  Loading...