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Xiangxin Kong

dblp:129/0527 · DBLP profile ↗
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8ranked-venue papers
1as first author
7since 2021 · last 2026
—ORCID · conflict

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

Artificial intelligence and machine learning · 5 · 5 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 first-author

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.

Computer graphics and multimedia
3 papers
Computer animation and physical simulation · 92% Rendering · 8%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
fluid simulation
1.122022
A moving eulerian-lagrangian particle method for thin film and foam simulation · ACM Trans. Graph. 2022
Thin-film smoothed particle hydrodynamics fluid · ACM Trans. Graph. 2021
Computer animation and physical simulation › fluid simulation › free-surface flow
thin film simulation
1.122022
A moving eulerian-lagrangian particle method for thin film and foam simulation · ACM Trans. Graph. 2022
Thin-film smoothed particle hydrodynamics fluid · ACM Trans. Graph. 2021
Computer vision › 3D vision
depth estimation
0.912025
Depth Estimation Through Translucent Surfaces · ICRA 2025
Computer animation and physical simulation › fluid simulation › multiphase fluid simulation
foam simulation
0.612022
A moving eulerian-lagrangian particle method for thin film and foam simulation · ACM Trans. Graph. 2022
Computer animation and physical simulation › fluid simulation › particle-based fluid simulation
smoothed particle hydrodynamics
0.512021
Thin-film smoothed particle hydrodynamics fluid · ACM Trans. Graph. 2021

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

moving eulerian-lagrangian particle method · 0.6bi-layer particle structure · 0.6weakly compressible SPH · 0.5asymptotic lubrication theory · 0.5
YearPublicationVenuePosition
2026 Composite label diffusion enhanced cross domain data synthesis for matching siamese network-based diesel engine fault diagnosis under varying conditions
Anzheng Huang, Hangfeng Mo, Likai Ye, Fengchun Liu, Xiangxin Kong, Zhinong Jiang, Zhiwei Mao
Expert Syst. Appl.5
2025 Depth Estimation Through Translucent Surfaces
Siyu Dai, Xibai Lou, Petter Nilsson, Shantanu Thakar, Cassie Meeker, Ariel Gordon, Xiangxin Kong, Jenny Zhang, Benjamin Knoerlein, Ruguan Liu, Bhavana Chandrashekhar, Sisir Karumanchi
ICRA7
2025 Unsupervised fault diagnosis and novel fault recognition for rotating machinery based on enhanced clustered autoencoder
Hangfeng Mo, Anzheng Huang, Shenxiao Chen, Xiangxin Kong, Zhinong Jiang, Zhiwei Mao
Eng. Appl. Artif. Intell.5
2024 Fault identification model of diesel engine based on mixed attention: Single-cylinder fault data driven whole-cylinder diagnosis
Shilong Chu, Jinjie Zhang, Fengchun Liu, Xiangxin Kong, Zhinong Jiang, Zhiwei Mao
Expert Syst. Appl.4
2023 Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions
Zhiwei Mao, Fengchun Liu, Xiangxin Kong, Jinjie Zhang, Zhinong Jiang
Eng. Appl. Artif. Intell.4
2022 A moving eulerian-lagrangian particle method for thin film and foam simulation
abstract
We present the Moving Eulerian-Lagrangian Particles (MELP), a novel mesh-free method for simulating incompressible fluid on thin films and foams. Employing a bi-layer particle structure, MELP jointly simulates detailed, vigorous flow and large surface deformation at high stability and efficiency. In addition, we design multi-MELP: a mechanism that facilitates the physically-based interaction between multiple MELP systems, to simulate bubble clusters and foams with non-manifold topological evolution. We showcase the efficacy of our method with a broad range of challenging thin film phenomena, including the Rayleigh-Taylor instability across double-bubbles, foam fragmentation with rim surface tension, recovery of the Plateau borders, Newton black films, as well as cyclones on bubble clusters.
Yitong Deng, Mengdi Wang 0003, Xiangxin Kong, Shiying Xiong, Zangyueyang Xian, Bo Zhu 0002
ACM Trans. Graph.3
2021 Thin-film smoothed particle hydrodynamics fluid
abstract
We propose a particle-based method to simulate thin-film fluid that jointly facilitates aggressive surface deformation and vigorous tangential flows. We build our dynamics model from the surface tension driven Navier-Stokes equation with the dimensionality reduced using the asymptotic lubrication theory and customize a set of differential operators based on the weakly compressible Smoothed Particle Hydrodynamics (SPH) for evolving pointset surfaces. The key insight is that the compressible nature of SPH, which is unfavorable in its typical usage, is helpful in our application to co-evolve the thickness, calculate the surface tension, and enforce the fluid incompressibility on a thin film. In this way, we are able to two-way couple the surface deformation with the in-plane flows in a physically based manner. We can simulate complex vortical swirls, fingering effects due to Rayleigh-Taylor instability, capillary waves, Newton's interference fringes, and the Marangoni effect on liberally deforming surfaces by presenting both realistic visual results and numerical validations. The particle-based nature of our system also enables it to conveniently handle topology changes and codimension transitions, allowing us to marry the thin-film simulation with a wide gamut of 3D phenomena, such as pinch-off of unstable catenoids, dripping under gravity, merging of droplets, as well as bubble rupture.
Mengdi Wang 0003, Yitong Deng, Xiangxin Kong, Aditya H. Prasad, Shiying Xiong, Bo Zhu 0002
ACM Trans. Graph.3
2013 Performance evaluation of software-defined networking with real-life ISP traffic
abstract
Software-defined networking (SDN) is an emerging network architecture and OpenFlow is one of the representative works in SDN. As a possible approach towards future network, it has been introduced into a lot of application scenarios. Although SDN/OpenFlow have a lot of advantages, it is still debatable that whether they can manipulate a significant amount of real-life traffic when they are deployed in a large-scale ISP (Internet Service Provider) network. However, there are few studies of performance evaluation of SDN/OpenFlow system with real-life traffic. In this paper we present OFSim, an event-driven OpenFlow simulator that supports the performance evaluation of OpenFlow system with packet-level real-life traffic traces. We use OFSim to perform evaluations with real-life ISP traffic and experimental results show that: (i) Current OpenFlow switch implementations cannot meet the need of real-life ISP traffic; (ii) Although the issue of controller scalability exists, greater performance bottleneck may be located in the current OpenFlow switches, and the flow table entry installation delay is a more pressing issue. This study can be helpful to better understand the performance bottleneck of OpenFlow system under the scenario in an ISP network.
Xiangxin Kong, Xingang Shi, Xia Yin 0001
ISCC1