Tianxing Li
Associate professor
Beijing University of Technology
Biography
I am Tianxing Li (李天行), an associate professor at Beijing University of Technology (北京工业大学). I received my Ph.D. in Computer Graphics in 2021 from the University of Tokyo, under the supervision of Prof. Kanai.
Currently, I specialize in computer graphics, particularly the use of machine learning to create realistic simulations and interactions. I am also interested in explainable artificial intelligence and its applications.
Publications
Selected Papers
Iterative Deformable Medical Image Registration with Adaptive Step-Stop Mechanism
Applied Soft Computing, accepted
High-Fidelity 3D Garment Reconstruction via Dual-Detail Aware Gaussian Splatting and Diffusion
Applied Soft Computing, 2027, 204: 116543
Extending Aumann-Shapley for Reliable Neuron Attribution in Autonomous Driving Decisions
IEEE Transactions on Multimedia, 2026, 28: 8193-8206
Hybrid Learning with Multi-Scale Graphs for Enhanced Garment Deformation Approximation
Applied Soft Computing, 2026, 186: 114149
GarTrans: Transformer-Based Architecture for Dynamic and Detailed Garment Deformation
Computational Visual Media, 2025, 11(6): 1209-1226
Attribution Explanations for Decision-Making in Deep Lane-Change Models
Transportation Research Part C: Emerging Technologies, 2025, 180: 105361
Frequency-Divided Learning of Fine-Grained Clothing Behavior via Flexible Dynamic Graphs
IEEE Transactions on Visualization and Computer Graphics, 2025, 31(10): 9166-9178
Spectrum-Enhanced Graph Attention Network for Garment Mesh Deformation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, 47(8): 7153-7170
Deformable Image Registration with Strategic Integration Pyramid Framework for Brain MRI
Magnetic Resonance Imaging, 120:110386, 2025
Traffic Scene-Informed Attribution of Autonomous Driving Decisions
IEEE Transactions on Intelligent Transportation Systems, 2025, 26(7): 9175-9186
Exploring Decision Shifts in Autonomous Driving with Attribution-Guided Visualization
IEEE Transactions on Intelligent Transportation Systems, 2025, 26(3): 4165-4177
Understanding Decision-Making of Autonomous Driving via Semantic Attribution
IEEE Transactions on Intelligent Transportation Systems, 2025, 26(1): 283-294
SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garments
IEEE Transactions on Visualization and Computer Graphics, 2024, 30(10): 6913-6927 (presented at Pacific Graphics 2024)
Efficient Deformation Learning of Varied Garments with a Structure-Preserving Multilevel Framework
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2024
Visualization Comparison of Vision Transformers and Convolutional Neural Networks
IEEE Transactions on Multimedia, 2024, 26: 2327-2339
Detail-Aware Deep Clothing Animations Infused with Multi-Source Attributes
Computer Graphics Forum, 2023, 42(1): 231-244 (presented at Eurographics 2023)
Understanding Contributing Neurons via Attribution Visualization
Neurocomputing, 550:126492, 2023
A Deep Learning‐Based Framework for Fast Generation of Photorealistic Hair Animations
IET Image Processing, 2023, 17(2): 375-387
Region-Conscious Visualization of Output-Targeted Neuron Features
Visual Computing, Article No. 40, 2022
Output-Targeted Baseline for Neuron Attribution Calculation
Image and Vision Computing, 124: 104516, 2022
GarMatNet: A Learning-based Method for Predicting 3D Garment Mesh with Parameterized Materials
14th ACM SIGGRAPH Conference on Motion, Interaction, and Games (MIG 2021), Article No.4, pp.1-10, 2021
MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs
Computer Graphics Forum (Presented at Eurographics 2021), 2021, 40 (2): 537-548
DenseGATs: A Graph-Attention-Based Network for Nonlinear Character Deformation
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (San Francisco, CA, 15-17 September 2020), Article No.5, May 2020
Class-Discriminative Feature Group and its Visualization
Visual Computing, 2020, Article No.36
Group Visualization of Class-Discriminative Features
Neural Networks, 2020, 129: 75-90
An Attribution-Based Pruning Method for Real-Time Mango Detection with YOLO Network
Computers and Electronics in Agriculture, 2020, 169: 105214
Workshops & Posters & Invited talks & Others
データ駆動型物理法則 CG アニメーション
映像情報メディア学会誌 特集「コンピュータグラフィックス技術の最前線」, 2025, 79(6): 571-576
MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs
Visual Computing 2021, Invited presentation
Automatic Deformation Refinement for Animated Characters via Deep Graph Networks
Invited presentation at Huawei Technologies Japan K.K.
DenseGATs: キャラクタの非線形変形のためのグラフアテンションネットワーク
Visual Computing 2020 ポスター, P41, オンライン, 12月, 2020
An Attribution-Based Pruning Method for Single Object Detection Network
Technical Committee on Pattern Recognition and Media Understanding (PRMU), 2019, 119 (10): 17-20
Patents
A Method for Recognizing Oil Peony Fruit Image Based on Force
Publication number: CN105844264B
A Kind of Oil Tree Peony Picking Fruit Actuating Unit
Publication number: CN204598709U
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