Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition. - Bo Wu 018; Tao Mei 001; Wen-Huang Cheng; Yongdong Zhang 001 (AAAI, 2016)

Time Matters: Multi-scale Temporalization of Social Media Popularity. - Bo Wu 018; Wen-Huang Cheng; Yongdong Zhang 001; Tao Mei 001 (ACM Multimedia, 2016)

Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. - Bo Wu 018; Wen-Huang Cheng; Yongdong Zhang 001; Qiushi Huang; Jintao Li 001; Tao Mei 001 (IJCAI, 2017)

Fashion World Map: Understanding Cities Through Streetwear Fashion. - Yu-Ting Chang; Wen-Huang Cheng; Bo Wu 018; Kai-Lung Hua (ACM Multimedia, 2017)

Dressing for Attention: Outfit Based Fashion Popularity Prediction. - Ling Lo; Chia-Lin Liu; Rong-An Lin; Bo Wu 018; Hong-Han Shuai; Wen-Huang Cheng (ICIP, 2019)

SMP Challenge: An Overview of Social Media Prediction Challenge 2019. - Bo Wu 018; Wen-Huang Cheng; Peiye Liu; Bei Liu 001; Zhaoyang Zeng; Jiebo Luo 001 (ACM Multimedia, 2019)

Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. - Xin Wang 131; Bo Wu 018; Yueqi Zhong (ACM Multimedia, 2019)

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Manling Li; Ying Lin; Ananya Subburathinam; Spencer Whitehead; Xiaoman Pan; Di Lu 003; Qingyun Wang 005; Tongtao Zhang; Lifu Huang; Heng Ji 001; Alireza Zareian; Hassan Akbari; et al. (TAC, 2019)

MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning. - Peiye Liu; Bo Wu 018; Huadong Ma; Pavan Kumar Chundi; Mingoo Seok (CoRR, 2019)

Hard-Aware Fashion Attribute Classification. - Yun Ye; Yixin Li; Bo Wu 018; Wei Zhang 031; Lingyu Duan; Tao Mei 001 (CoRR, 2019)

Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. - Xin Wang 131; Bo Wu 018; Yun Ye; Yueqi Zhong (CoRR, 2019)

SMP Challenge: An Overview of Social Media Prediction Challenge 2019. - Bo Wu 018; Wen-Huang Cheng; Peiye Liu; Zhaoyang Zeng; Jiebo Luo 001 (CoRR, 2019)

Theme-Matters: Fashion Compatibility Learning via Theme Attention. - Jui-Hsin Lai; Bo Wu 018; Xin Wang 131; Dan Zeng 001; Tao Mei 001; Jingen Liu (CoRR, 2019)

General Partial Label Learning via Dual Bipartite Graph Autoencoder. - Brian Chen 001; Bo Wu 018; Alireza Zareian; Hanwang Zhang; Shih-Fu Chang (AAAI, 2020)

Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging. - Xiaochen Han; Bo Wu 018; Zheng Shou; Xiao-Yang Liu; Yimeng Zhang; Linghe Kong (AAAI, 2020)

GAIA: A Fine-grained Multimedia Knowledge Extraction System. - Manling Li; Alireza Zareian; Ying Lin; Xiaoman Pan; Spencer Whitehead; Brian Chen 001; Bo Wu 018; Heng Ji 001; Shih-Fu Chang; Clare R. Voss; Daniel Napierski; Marjorie Freedman (ACL (demo), 2020)

Enhancing Neural Models with Vulnerability via Adversarial Attack. - Rong Zhang; Qifei Zhou; Bo An 002; Weiping Li; Tong Mo; Bo Wu 018 (COLING, 2020)

MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning. - Peiye Liu; Bo Wu 018; Huadong Ma; Mingoo Seok (CVPR, 2020)

Detection by Attack: Detecting Adversarial Samples by Undercover Attack. - Qifei Zhou; Rong Zhang; Bo Wu 018; Weiping Li; Tong Mo (ESORICS (2), 2020)

Learning the Compositional Visual Coherence for Complementary Recommendations. - Zhi Li 057; Bo Wu 018; Qi Liu 003; Likang Wu; Hongke Zhao; Tao Mei 001 (IJCAI, 2020)

Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. - Xin Wang 131; Bo Wu 018; Yueqi Zhong; Wei Hu 003; Jan Zahálka (ACM Multimedia, 2020)

Video Synthesis via Transform-Based Tensor Neural Network. - Yimeng Zhang; Xiao-Yang Liu; Bo Wu 018; Anwar Walid (ACM Multimedia, 2020)

Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning. - Yunfan Hu; Jiangtao Wang 001; Bo Wu 018; Sumi Helal (PerCom, 2020)

What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis. - Rong Zhang; Qifei Zhou; Bo Wu 018; Weiping Li; Tong Mo (SDM, 2020)

Analogical Reasoning for Visually Grounded Language Acquisition. - Bo Wu 018; Haoyu Qin; Alireza Zareian; Carl Vondrick; Shih-Fu Chang (CoRR, 2020)

Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters. - Bo Wu 018; Wen-Huang Cheng; Yongdong Zhang 001; Juan Cao 001; Jintao Li 001; Tao Mei 001 (IEEE Trans. Knowl. Data Eng., 2020)

Bilateral Autotrading Framework for Stock Prediction. - Qifei Zhou; Hucheng Liu; Weiping Li; Tong Mo; Bo Wu 018 (IJCNN, 2021)

Token-Level Supervised Contrastive Learning for Punctuation Restoration. - Qiushi Huang; Tom Ko; H. Lilian Tang; Xubo Liu 001; Bo Wu 018 (Interspeech, 2021)

Counterfactual Debiasing Inference for Compositional Action Recognition. - Pengzhan Sun 001; Bo Wu 018; Xunsong Li; Wen Li 001; Lixin Duan; Chuang Gan 001 (ACM Multimedia, 2021)

STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition. - Yuhan Zhang; Bo Wu 018; Wen Li 001; Lixin Duan; Chuang Gan 001 (ACM Multimedia, 2021)

STAR: A Benchmark for Situated Reasoning in Real-World Videos. - Bo Wu 018; Shoubin Yu; Zhenfang Chen; Josh Tenenbaum 001; Chuang Gan 001 (NeurIPS Datasets and Benchmarks, 2021)

VLS: Vehicle Tail Light Signal Detection Benchmark. - Ruili Lai; Chumei Wen; Jingmin Xu; Delu Zeng; Bo Wu 018 (ACAI, 2022)

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. - Jialun Cao; Meiziniu Li; Xiao Chen; Ming Wen 001; Yongqiang Tian 001; Bo Wu 018; Shing-Chi Cheung (ICSE, 2022)

Attention-guided transformation-invariant attack for black-box adversarial examples. - Jiaqi Zhu; Feng Dai; Lingyun Yu 002; Hongtao Xie; Lidong Wang; Bo Wu 018; Yongdong Zhang 001 (Int. J. Intell. Syst., 2022)

Text-instance graph: Exploring the relational semantics for text-based visual question answering. - Xiangpeng Li; Bo Wu 018; Jingkuan Song; Lianli Gao; Pengpeng Zeng; Chuang Gan 001 (Pattern Recognit., 2022)

RL-Recruiter+: Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile Crowdsensing. - Yunfan Hu; Jiangtao Wang 001; Bo Wu 018; Sumi Helal (IEEE Trans. Mob. Comput., 2022)

Personalized Dialogue Generation with Persona-Adaptive Attention. - Qiushi Huang; Yu Zhang 006; Tom Ko; Xubo Liu 001; Bo Wu 018; Wenwu Wang 001; H. Lilian Tang (AAAI, 2023)

Learning from Children: Improving Image-Caption Pretraining via Curriculum. - Hammad A. Ayyubi; Rahul Lokesh; Alireza Zareian; Bo Wu 018; Shih-Fu Chang (ACL (Findings), 2023)

Learning Situation Hyper-Graphs for Video Question Answering. - Aisha Urooj Khan; Hilde Kuehne; Bo Wu 018; Kim Chheu; Walid Bousselham; Chuang Gan 001; Niels da Vitoria Lobo; Mubarak Shah (CVPR, 2023)

Reproducibility Companion Paper: MeTILDA - Platform for Melodic Transcription in Language Documentation and Application. - Mitchell Lee; Chris Lee; Sanjay Penmetsa; Min Chen 009; Mizuki Miyashita; Naatosi Fish; Bo Wu 018; Omar Shahbaz Khan (ICMR, 2023)

SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge. - Bo Wu 018; Peiye Liu; Wen-Huang Cheng; Bei Liu 001; Zhaoyang Zeng; Jia Wang; Qiushi Huang; Jiebo Luo 001 (ACM Multimedia, 2023)

Scene Graph Refinement Network for Visual Question Answering. - Tianwen Qian; Jingjing Chen 001; Shaoxiang Chen 001; Bo Wu 018; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

Selective Prompting Tuning for Personalized Conversations with LLMs. - Qiushi Huang; Xubo Liu 001; Tom Ko; Bo Wu 018; Wenwu Wang 001; Yu Zhang 006; Lilian Tang (ACL (Findings), 2024)

SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. - Andong Wang; Bo Wu 018; Sunli Chen; Zhenfang Chen; Haotian Guan; Wei-Ning Lee; Li Erran Li; Chuang Gan 001 (CVPR, 2024)

SMP Challenge Summary: Social Media Prediction Challenge. - Bo Wu 018; Peiye Liu; Qiushi Huang; Zhaoyang Zeng; Jia Wang; Bei Liu 001; Jiebo Luo 001; Wen-Huang Cheng (ACM Multimedia, 2024)

Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net. - Xiao-Yang Liu; Qifan Huang; Xiaochen Han; Bo Wu 018; Linghe Kong; Anwar Walid; Xiaodong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. - Leonid Karlinsky; Assaf Arbelle; Abraham Daniels; Ahmed Nassar; Amit Alfassi; Bo Wu 018; Eli Schwartz; Dhiraj Joshi; Jovana Kondic; Nimrod Shabtay; Pengyuan Li 001; Roei Herzig; et al. (CoRR, 2025)

ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation. - Jovana Kondic; Pengyuan Li 001; Dhiraj Joshi; Zexue He; Shafiq Abedin; Jennifer Sun; Ben Wiesel; Eli Schwartz; Ahmed Nassar; Bo Wu 018; Assaf Arbelle; Aude Oliva; et al. (CoRR, 2025)