2024
A Dual-Prompting for Interpretable Mental Health Language Models.
CoRR, 2024
Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Importance of Social Network Structures in Influencer Marketing.
Proceedings of the 43rd International Conference on Information Systems, 2022
FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification.
Proceedings of the Computer Vision - ECCV 2022, 2022
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
D-vlog: Multimodal Vlog Dataset for Depression Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Modeling and Discovering Authentic and Effective Influencers on Social Media via Graph Neural Network Learning.
PhD thesis, 2021
Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning.
Proceedings of the WSDM '21, 2021
Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
2020
Multimodal Post Attentive Profiling for Influencer Marketing.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Detecting Engagement Bots on Social Influencer Marketing.
Proceedings of the Social Informatics - 12th International Conference, 2020
2019
How do influencers mention brands in social media?: sponsorship prediction of Instagram posts.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Hitchhiker: A Wireless Routing Protocol in a Delay Tolerant Network Using Density-Based Clustering.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Promoting Cooperative Strategies on Proof-of-Work Blockchain.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
How Are Social Influencers Connected in Instagram?
Proceedings of the Social Informatics, 2017
2014
Strategic bundling for content availability and fast distribution in BitTorrent.
Comput. Commun., 2014
2012
Bundling practice in BitTorrent: what, how, and why.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012
Content Publishing and Downloading Practice in BitTorrent.
Proceedings of the NETWORKING 2012, 2012
2011
How prevalent is content bundling in BitTorrent.
Proceedings of the SIGMETRICS 2011, 2011
Unveiling the BitTorrent Performance in Mobile WiMAX Networks.
Proceedings of the Passive and Active Measurement - 12th International Conference, 2011
2010
An Empirical Study on Content Bundling in BitTorrent Swarming System
CoRR, 2010
Measurement and Analysis of BitTorrent Traffic in Mobile WiMAX Networks.
Proceedings of the IEEE Tenth International Conference on Peer-to-Peer Computing, 2010