2025
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.
Biomed. Signal Process. Control., 2025

2024
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

2023
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

2022
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