Search Results for author: Haiping Ma

Found 9 papers, 3 papers with code

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness

no code implementations29 Dec 2023 Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, HengShu Zhu

To address this, in this paper, we propose a novel Reliable Cognitive Diagnosis(ReliCD) framework, which can quantify the confidence of the diagnosis feedback and is flexible for different cognitive diagnostic functions.

cognitive diagnosis

Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach

no code implementations15 Dec 2023 Haiping Ma, Changqian Wang, HengShu Zhu, Shangshang Yang, XiaoMing Zhang, Xingyi Zhang

Finally, we demonstrate the effectiveness and interpretability of our framework through comprehensive experiments on real-world datasets.

cognitive diagnosis

Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search

1 code implementation10 Jul 2023 Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang

Then, we propose multi-objective genetic programming (MOGP) to explore the NAS task's search space by maximizing model performance and interpretability.

cognitive diagnosis Neural Architecture Search

SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation

no code implementations19 Jun 2023 Feiyu Chen, Haiping Ma, Weijia Zhang

To address the aforementioned issues, we propose a novel separated edge-guidance transformer (SegT) network that aims to build an effective polyp segmentation model.

Segmentation

Privileged Graph Distillation for Cold Start Recommendation

no code implementations31 May 2021 Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang

The teacher model is composed of a heterogeneous graph structure for warm users and items with privileged CF links.

Attribute Collaborative Filtering +1

Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing

no code implementations15 Jan 2021 Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang

In this paper, we study a novel model-agnostic CAT problem, where we aim to propose a flexible framework that can adapt to different cognitive models.

Active Learning

SWIPENET: Object detection in noisy underwater images

1 code implementation19 Oct 2020 Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning li, Haiping Ma, Xin Wang, Huiyu Zhou

Moreover, inspired by the human education process that drives the learning from easy to hard concepts, we here propose the CMA training paradigm that first trains a clean detector which is free from the influence of noisy data.

Object object-detection +1

Exploiting Cognitive Structure for Adaptive Learning

no code implementations23 May 2019 Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang

Although it is well known that modeling the cognitive structure including knowledge level of learners and knowledge structure (e. g., the prerequisite relations) of learning items is important for learning path recommendation, existing methods for adaptive learning often separately focus on either knowledge levels of learners or knowledge structure of learning items.

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