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Lian Ding

dblp:14/4227 · DBLP profile ↗
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8ranked-venue papers
2as first author
4since 2021 · last 2025
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Databases, data management, data science and information retrieval · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
3D vision · 61% Robot manipulation · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d scene reconstruction
0.812024
STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines · ICRA 2024
Robotics › Robot manipulation
grasping
0.812024
STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines · ICRA 2024
Computer vision › 3D vision › 3d reconstruction
multi-view stereo
0.812024
STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines · ICRA 2024
Robotics › Robot manipulation › grasping
transparent object grasping
0.212024
STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines · ICRA 2024

Methods — techniques the papers use, named apart from their topics

multi-view stereo · 0.8deep learning · 0.8
YearPublicationVenuePosition
2025 The dual-credit policy model, a production strategy decision-making algorithm and application to Chinese automakers
Lian Ding, Huiting Zhu, Yajie Guo
Neural Comput. Appl.2
2024 STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines
abstract
In this work, we present STOPNet, a framework for 6-DoF object suction detection on production lines, with a focus on but not limited to transparent objects, which is an important and challenging problem in robotic systems and modern industry. Current methods requiring depth input fail on transparent objects due to depth cameras’ deficiency in sensing their geometry, while we proposed a novel framework to reconstruct the scene on the production line depending only on RGB input, based on multiview stereo. Compared to existing works, our method not only reconstructs the whole 3D scene in order to obtain high-quality 6-DoF suction poses in real time but also generalizes to novel environments, novel arrangements and novel objects, including challenging transparent objects, both in simulation and the real world. Extensive experiments in simulation and the real world show that our method significantly surpasses the baselines and has better generalizability, which caters to practical industrial needs.
Yuxuan Kuang, Qin Han, Danshi Li, Qiyu Dai, Lian Ding, Hanlin Zhao, He Wang 0010
ICRA5
2022 Learning Incrementally to Segment Multiple Organs in a CT Image
Pengbo Liu 0004, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao 0005, Lian Ding, Xingwang Wu, Shaohua Kevin Zhou
MICCAI (4)10
2022 Aggregative Self-supervised Feature Learning from Limited Medical Images
Jiuwen Zhu, Yuexiang Li, Lian Ding, Shaohua Kevin Zhou
MICCAI (8)3
2009 Component-based records: A novel method to record transaction design work
Lian Ding, Matt Giess, Yee Mey Goh, Chris A. McMahon, Uday Thangarajah
Adv. Eng. Informatics1
2008 An approach to accessing product data across system and software revisions
Alexander Ball, Lian Ding, Manjula Patel
Adv. Eng. Informatics2
2007 XML-based Representations in Product Lifecycle Management
abstract
To support a collaborative environment and strengthen information management for the entire product lifecycles management (PLM) of products, there are increasing demands on developing new-generation product representations. The representations need to be of software platform independence, rapid sharing of information between geographically distributed applications and users, support of the entire product life cycle, and protection of commercial security of products. Conventional product representations, e.g., geometric or feature-based computer-aided design (CAD) models, are unable to meet such requirements. The extensible markup language (XML) offers several advantages, such as platform/application-independency, position-independency and machine-interpretability, so that it has the great potential to be incorporated with conventional product representations to form new-generation exchanging formats. This paper presents a survey of the XML-based product representations to support PLM.
Lian Ding, Weidong Li 0001, Chris A. McMahon
CSCWD1
2006 Visualization Models and Technologies for Collaborative Product Development: Status and Promise
abstract
Recently, research and development is being actively conducted to develop light-weight representation schemes for product models and visualization-based systems to support collaborative product development. In this paper, several mainstream light-weight representation schemes and visualization-based systems are surveyed. Meanwhile, technologies to integrate visualization-based systems with other functional systems to establish collaborative product development environments are discussed
Weidong Li 0001, Lian Ding, Chris A. McMahon
CSCWD2