Bio

Bo Wu, an AI Researcher at MIT-IBM Watson AI Lab in Cambridge, MA.
Bo received his Ph.D. in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, and he was a Research Scientist at Columbia University, New York City, NY. His research interests encompass deep learning, multimodal learning, computer vision, and natural language understanding, with a focus on visual, linguistic, and user behavior analysis, forecasting, and reasoning.
He has organized events such as the ACM MM Grand Challenge SMP, and the CVPR Workshop and Challenge MVCS and MMFM. He has also served in key roles as Track Chair, Area Chair, Senior Program Committee Member, and Program Committee Board Member for the conferences including ACM Multimedia, AAAI, IJCAI, ICMR, etc.

bo.wu{at}ibm.com, bowu{at}mit.edu
News

I am looking for students to work on cutting-edge vision and language projects. Please send me your CV if interested.

STAR: A Benchmark for Situated Reasoning in Real-World Videos

Bo Wu, Shoubin Yu, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan
Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021.

SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge

Andong Wang*, Bo Wu*, Sunli Chen, Zhenfang Chen, Haotian Guan, Wei-Ning Lee, Li Erran Li, Chuang Gan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Learning Situation Hyper-Graphs for Video Question Answering

Aisha Urooj, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels Lobo, Mubarak Shah
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Selective Prompting Tuning for Personalized Conversations with LLMs

Qiushi Huang, Xubo Liu, Tom Ko, *Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.

Learning from Children: Improving Image-Caption Pretraining via Curriculum

Hammad A Ayyubi, Rahul Lokesh, Alireza Zareian, Bo Wu, Shih-Fu Chang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023.

Scene Graph Refinement Network for Visual Question Answering

Tianwen Qian, Jingjing Chen, Shaoxiang Chen, Bo Wu, Yu-Gang Jiang
IEEE Transactions on Multimedia, 2022.

Counterfactual Debiasing Inference for Compositional Action Recognition

Pengzhan Sun*, Bo Wu*, Xunsong Li, Wen Li, Lixin Duan, Chuang Gan
The 29th ACM International Conference on Multimedia (ACM MM), 2021.

STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition

Yuhan Zhang*, Bo Wu*, Wen Li, Lixin Duan, Chuang Gan
The 29th ACM International Conference on Multimedia (ACM MM), 2021.

Personalized Dialogue Generation with Persona-Adaptive Attention

Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, Lilian Tang
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs

Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung
The IEEE/ACM International Conference on Software Engineering (ICSE), 2022.

MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning

Peiye Liu, Bo Wu, Huadong Ma, Mingoo Seok.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

General Partial Label Learning via Dual Bipartite Graph Autoencoder

Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang.
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

Learning the Compositional Visual Coherence for Complementary Recommendations

Zhi Li, Bo Wu, Qi Liu, Hongke Zhao, Likang Wu, Tao Mei.
International Joint Conference on Artificial Intelligence (IJCAI), 2020.

Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging

Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong.
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

Token-Level Supervised Contrastive Learning for Punctuation Restoration

Qiushi Huang, Tom Ko, H Lilian Tang, Xubo Liu, Bo Wu
International Conference on Computer, Software Engineering and Applications (Interspeech), 2021.

SMP Challenge: An Overview of Social Media Prediction Challenge 2019

Bo Wu, Wen-Huang Cheng, Peiye Liu, Bei Liu, Zhaoyang Zeng, Jiebo Luo.
The 27th ACM International Conference on Multimedia (ACM MM), 2019.

Unlocking the Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters

Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Juan Cao, Jintao Li, Tao Mei.
IEEE Transactions on Knowledge and Data Engineering (TKDE, IF 3.857), 2018.

Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks

Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li, Tao Mei.
International Joint Conference on Artificial Intelligence (IJCAI), 2017, Melbourne, Australia. (Oral)

Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition

Bo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang.
AAAI Conference on Artificial Intelligence(AAAI), 2016, Phoenix, USA. (Spotlight)

Time Matters: Multi-scale Temporalization of Social Media Popularity

Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Tao Mei.
ACM International Conference on Multimedia (ACM MM), 2016, Amsterdam, Netherlands.

Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network

Xin Wang*, Bo Wu*, Yueqi Zhong.
The 27th ACM International Conference on Multimedia (ACM MM), 2019.

Dressing for Attention: Outfit Based Fashion Popularity Prediction

Ling Lo, Chia-Lin Liu, Rong-An Lin, Bo Wu, Hong-Han Shuai, Wen-Huang Cheng.
IEEE International Conference on Image Processing (ICIP), 2019.

Fashion World Map: Understanding Cities Through Streetwear Fashion

Yu-Ting Chang, Wen-Huang Cheng, Bo Wu, Kai-Lung Hua.
The 25th ACM International Conference on Multimedia (ACM MM), 2017.

Professional Services
  • Track Chair/Area Chair/Senior Program Committee (SPC) Member: ACM Multimedia, AAAI, IJCAI, ICMR, etc.
  • Conference Program Committee (PC) Member: NeurIPS, CVPR, ICCV, ECCV, ACL, ICLR, ICML, KDD, WWW, RSS, etc.
  • Journal Reviewer: IEEE Transactions (TMM, TKDE, TCSVT, TIST, etc.)
Awards & Certifications
  • 2023 IBM Master Inventor
  • 2021 IBM Research Level-A Accomplishment Award
  • 2020 Champion of ICIP 2020 Prediction Challenge (Top 1)
  • 2020 The Best Demo Paper Award of ACL 2020
  • 2019 NIST TAC SM-KBP 2019 (Top 1)
  • 2018 Alibaba Global Vision AI Challenge (Top 3, 0.1%)
    Schlumberger Ph.D Award
  • 2017 ACM Turing 50th Student Scholarship
    Start-up Innovation Challenge (Top 1)
    5 times of Excellent Student Awards
  • 2016 AAAI Student Scholarship Award
    ACM MM Student Travel Grant
    Academia Sinica Ph.D Scholarship
    3 times of Outstanding Student Leader Awards
  • 2015 Alibaba Global Recommendation Challenge (Top 1%)
    ACM CIKM Global Challenge Cup (Top 1%)
Hosted Challenges