UTS submission to Google YouTube-8M Challenge 2017. - Linchao Zhu; Yanbin Liu 003; Yi Yang 001 (CoRR, 2017)

Activities in Extended Video. - Fan Ma; Peike Li; Linchao Zhu; Xuanyi Dong; Yanbin Liu 003; Yi Yang 001 (TRECVID, 2018)

Transductive Propagation Network for Few-shot Learning. - Yanbin Liu 003; Juho Lee 001; Minseop Park; Saehoon Kim; Yi Yang 001 (CoRR, 2018)

Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. - Yanbin Liu 003; Yan Yan 006; Ling Chen 006; Yahong Han; Yi Yang 001 (AAAI, 2019)

Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. - Yanbin Liu 003; Juho Lee 001; Minseop Park; Saehoon Kim; Eunho Yang; Sung Ju Hwang; Yi Yang 001 (ICLR (Poster), 2019)

LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. - Yanbin Liu 003; Makoto Yamada; Yao-Hung Hubert Tsai; Tam Le; Ruslan Salakhutdinov; Yi Yang 001 (CoRR, 2019)

Semantic Correspondence as an Optimal Transport Problem. - Yanbin Liu 003; Linchao Zhu; Makoto Yamada; Yi Yang 001 (CVPR, 2020)

Feature Robust Optimal Transport for High-dimensional Data. - Mathis Petrovich; Chao Liang 002; Yanbin Liu 003; Yao-Hung Hubert Tsai; Linchao Zhu; Yi Yang 001; Ruslan Salakhutdinov; Makoto Yamada (CoRR, 2020)

A Multi-Mode Modulator for Multi-Domain Few-Shot Classification. - Yanbin Liu 003; Juho Lee 001; Linchao Zhu; Ling Chen 006; Humphrey Shi; Yi Yang 001 (ICCV, 2021)

Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. - Shaoshen Wang; Yanbin Liu 003; Ling Chen 006; Chengqi Zhang (ICTAI, 2021)

LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. - Yanbin Liu 003; Makoto Yamada; Yao-Hung Hubert Tsai; Tam Le; Ruslan Salakhutdinov; Yi Yang 001 (ECML/PKDD (1), 2021)

Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. - Shaoshen Wang; Yanbin Liu 003; Ling Chen 006; Chengqi Zhang (IJCNN, 2022)

Feature-Robust Optimal Transport for High-Dimensional Data. - Mathis Petrovich; Chao Liang 002; Ryoma Sato; Yanbin Liu 003; Yao-Hung Hubert Tsai; Linchao Zhu; Yi Yang 001; Ruslan Salakhutdinov; Makoto Yamada (ECML/PKDD (5), 2022)

Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City. - Hexuan Weng; Yanbin Liu 003; Ling Chen 006 (AI (1), 2023)

RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. - Changlu Chen; Yanbin Liu 003; Ling Chen 006; Chengqi Zhang (PAKDD (4), 2023)

Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks. - Stephen Gould; Ming Xu; Zhiwei Xu; Yanbin Liu 003 (CoRR, 2023)

Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. - Juan Lu; Mohammed Bennamoun; Jonathon Stewart; Jason Kamran Eshraghian; Yanbin Liu 003; Benjamin J. W. Chow; Frank M. Sanfilippo; Girish Dwivedi (CoRR, 2023)

Inflating 2D convolution weights for efficient generation of 3D medical images. - Yanbin Liu 003; Girish Dwivedi; Farid Boussaïd; Frank M. Sanfilippo; Makoto Yamada; Mohammed Bennamoun (Comput. Methods Programs Biomed., 2023)

Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. - Changlu Chen; Yanbin Liu 003; Ling Chen 006; Chengqi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Class-Aware Sample Weight Learning for Cross-Modal Unsupervised Domain Adaptation in Cross-User Wearable Human Activity Recognition. - Tong Wu; Yanbin Liu 003; Sira Yongchareon (ECAI, 2024)

Unsupervised Dense Prediction Using Differentiable Normalized Cuts. - Yanbin Liu 003; Stephen Gould (ECCV (40), 2024)

CRA-Eformer: Cross-Scale Residual Attention-Based Edge-Guide Transformer for Low-Dose CT Denoising. - Tong Wu; Yanbin Liu 003; Sira Yongchareon (ICONIP (5), 2024)

TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning. - Hui Chen 036; Yanbin Liu 003; Yongqiang Ma; Nanning Zheng 001; Xin Yu 002 (NeurIPS, 2024)

Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. - Changlu Chen; Yanbin Liu 003; Ling Chen 006; Chengqi Zhang (ECML/PKDD (2), 2024)

Test-Time Training for Spatial-Temporal Forecasting. - Changlu Chen; Yanbin Liu 003; Ling Chen 006; Chengqi Zhang (SDM, 2024)

NeRFEditor: Differentiable Style Decomposition for 3D Scene Editing. - Chunyi Sun; Yanbin Liu 003; Junlin Han; Stephen Gould (WACV, 2024)

3D Brain and Heart Volume Generative Models: A Survey. - Yanbin Liu 003; Girish Dwivedi; Farid Boussaïd; Mohammed Bennamoun (ACM Comput. Surv., 2024)

Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification. - Yanbin Liu 003; Linchao Zhu; Xiaohan Wang; Makoto Yamada; Yi Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents. - Xiaodan Wang; Yanbin Liu 003; Weihua Li 007; Quan Bai 001 (PRICAI, 2025)

Towards Superior Quantization Accuracy: A Layer-sensitive Approach. - Feng Zhang; Yanbin Liu 003; Weihua Li 007; Jie Lv; Xiaodan Wang; Quan Bai 001 (CoRR, 2025)

Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting. - Changlu Chen; Yanbin Liu 003; Chaoxi Niu; Ling Chen 006; Tianqing Zhu (CoRR, 2025)

Compression-Oriented Video Super-Resolution. - Shuyun Wang; Yanbin Liu 003; Ming Lu 002; Zhuojie Wu; Senmao Tian; Yandong Guo; Xin Yu 002 (IEEE Trans. Image Process., 2026)

Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies. - Xiaodan Wang; Yanbin Liu 003; Shiqing Wu 001; Ziying Zhao; Yuxuan Hu 002; Weihua Li 007; Quan Bai 001 (CoRR, 2026)