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Works8 from public data

TitleCited by
  • FoodLMM: A Versatile Food Assistant Using Large Multi-Modal Model

    Yuehao Yin, Huiyan Qi, Bin Zhu, Jingjing Chen, Yu–Gang Jiang, Chong‐Wah Ngo

    IEEE Transactions on Multimedia · 2025

    This paper proposes FoodLMM, a versatile food assistant based on LMMs with various capabilities, including food recognition, ingredient recognition, recipe generation, nutrition estimation, food segmentation, and multi-round conversation, to facilitate FoodLMM in dealing with tasks beyond pure text output.

    63
  • Separating Noisy Samples From Tail Classes for Long-Tailed Image Classification With Label Noise

    Chaowei Fang, Lechao Cheng, Yining Mao, Dingwen Zhang, Yixiang Fang, Guanbin Li, Huiyan Qi, Licheng Jiao

    IEEE Transactions on Neural Networks and Learning Systems · 2023

    29
  • Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion

    Huiyan Qi, Bin Zhu, Chong‐Wah Ngo, Jingjing Chen, Ee‐Peng Lim

    International Conference on Multimedia Retrieval · 2025

    This work introduces FastFood, a dataset with 84,446 images across 908 fast food categories, featuring ingredient and nutritional annotations, and proposes a new model-agnostic Visual-Ingredient Feature Fusion (VIF2) method to enhance nutrition estimation by integrating visual and ingredient features.

    15
  • Transferability Estimation Based On Principal Gradient Expectation

    Huiyan Qi, Lechao Cheng, Jingjing Chen, Yue Yu, Song, Xue, Zunlei Feng, Yu–Gang Jiang

    arXiv · 2022

    Principal Gradient Expectation (PGE), a simple yet effective method for assessing transferability, is proposed and extensive experiments show that the proposed metric is superior to state-of-the-art methods on all properties.

    5
  • HVS Based Adaptive Digital Image Watermarking

    Huiyan Qi, Jiying Zhao

    Conference proceedings - Canadian Conference on Electrical and Computer Engineering · 2006

    5
  • Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models

    Bin Zhu, Yuesheng Gui, Huiyan Qi, Jingjing Chen, Chong‐Wah Ngo, Ee‐Peng Lim

    International Conference on Multimedia Retrieval · 2026

    This paper systematically study gaslighting negation attacks—a phenomenon where models, despite initially providing correct answers, are persuaded by user-provided negations to reverse their outputs, often fabricating justifications—to highlight a fundamental robustness gap in multimodal AI systems.

    3
  • Combating Noisy Labels in Long-Tailed Image Classification

    Chaowei Fang, Lechao Cheng, Huiyan Qi, Dingwen Zhang

    arXiv · 2022

    An early effort to tackle the image classification task with both long-tailed distribution and label noise with a new learning paradigm based on matching between inferences on weak and strong data augmentations to screen out noisy samples and introduce a leave-noise-out regularization to eliminate the effect of the recognized noisy samples.

    2
  • Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models

    Ziyao Tang, Pengkun Jiao, Bin Zhu, Huiyan Qi, Jingjing Chen, Yu-Gang Jiang

    Findings of the Association for Computational Linguistics: ACL 2026 · 2026

    –

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.

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