DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation.
CoRR, June, 2025
Learning a Pessimistic Reward Model in RLHF.
CoRR, May, 2025
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data.
CoRR, March, 2025
SPERM: sequential pairwise embedding recommendation with MI-FGSM.
Int. J. Mach. Learn. Cybern., February, 2025
FetchBot: Object Fetching in Cluttered Shelves via Zero-Shot Sim2Real.
CoRR, February, 2025
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization.
IEEE Trans. Multim., 2025
A feature enhancement network based on image partitioning in a multi-branch encoder-decoder architecture.
Knowl. Based Syst., 2025
A segmentation network for generalized lesion extraction with semantic fusion of transformer with value vector enhancement.
Expert Syst. Appl., 2025
Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI.
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Biomed. Signal Process. Control., 2025
Deep recommendation with iteration directional adversarial training.
Computing, October, 2024
MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs.
CoRR, 2024
Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation?
CoRR, 2024
Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach.
CoRR, 2024
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study.
CoRR, 2024
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models.
CoRR, 2024
New Job, New Gender? Measuring the Social Bias in Image Generation Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Research on Intelligent Recognition Algorithm of Container Numbers in Ports Based on Deep Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark.
CoRR, 2023
BiasAsker: Measuring the Bias in Conversational AI System.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2023
Transferable Unlearnable Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Towards Fair Classification against Poisoning Attacks.
CoRR, 2022
Probabilistic Categorical Adversarial Attack & Adversarial Training.
CoRR, 2022
Defense Against Gradient Leakage Attacks via Learning to Obscure Data.
CoRR, 2022
Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022