2024
Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models.
IEEE Trans. Dependable Secur. Comput., 2024
Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network.
J. King Saud Univ. Comput. Inf. Sci., 2024
Unlocking Cross-Lingual Sentiment Analysis through Emoji Interpretation: A Multimodal Generative AI Approach.
CoRR, 2024
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making.
CoRR, 2024
RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent.
CoRR, 2024
LoReTrack: Efficient and Accurate Low-Resolution Transformer Tracking.
CoRR, 2024
PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Does ChatGPT Generate Accessible Code? Investigating Accessibility Challenges in LLM-Generated Source Code.
Proceedings of the 21st International Web for All Conference, 2024
DAAP: Privacy-Preserving Model Accuracy Estimation on Unlabeled Datasets Through Distribution-Aware Adversarial Perturbation.
Proceedings of the 33rd USENIX Security Symposium, 2024
LitAI: Enhancing Multimodal Literature Understanding and Mining with Generative AI.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
Benchmarking the Robustness of UAV Tracking Against Common Corruptions.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI.
Proceedings of the Knowledge Science, Engineering and Management, 2024
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
S3LLM: Large-Scale Scientific Software Understanding with LLMs Using Source, Metadata, and Document.
Proceedings of the Computational Science - ICCS 2024, 2024
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis.
Proceedings of the 2024 ACM Southeast Conference, 2024
2023
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing.
CoRR, 2023
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Towards Fairness-aware Adversarial Network Pruning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
Data and Resources Paper: A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Probabilistic Error Reasoning on IoT Edge Devices.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023
Towards Transferable Targeted Adversarial Examples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
The Impact of ChatGPT on Streaming Media: A Crowdsourced and Data-Driven Analysis using Twitter and Reddit.
Proceedings of the 9th Intl Conference on Big Data Security on Cloud, 2023
2022
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems.
IEEE Trans. Mob. Comput., 2022
Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19).
Inf. Process. Manag., 2022
Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events.
Inf. Process. Manag., 2022
SocialCattle: IoT-Based Mastitis Detection and Control Through Social Cattle Behavior Sensing in Smart Farms.
IEEE Internet Things J., 2022
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems.
CoRR, 2022
ExpScore: Learning Metrics for Recommendation Explanation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow., 2021
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR, 2021
Seed Stocking Via Multi-Task Learning.
CoRR, 2021
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data.
Proceedings of the ICC 2021, 2021
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021
2020
New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them.
ACM Trans. Soc. Comput., 2020
DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images.
IEEE Trans. Ind. Informatics, 2020
SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT.
IEEE Internet Things J., 2020
SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset.
CoRR, 2020
University of Washington at TREC 2020 Fairness Ranking Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
2019
AirMouse: Turning a Pair of Glasses Into a Mouse in the Air.
IEEE Internet Things J., 2019
The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets.
Proceedings of the World Wide Web Conference, 2019
Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics for Once-in-a-Lifetime Events.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Two-Level Index for Truss Community Query in Large-Scale Graphs.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks.
IEEE Trans. Veh. Technol., 2018
A multi-granularity perspective for spatial profiling of mobile apps.
Inf. Sci., 2018
Dection and Health Analysis of Individual Tree in Urban Environment with Multi-Sensor Platform.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Secure Sharing of Private Locations through Homomorphic Bloom Filters.
Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018
2017
Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments.
Ad Hoc Networks, 2017
Decentralized Search for Shortest Path Approximation in Large-Scale Complex Networks.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017