Zero-Shot Hashing via Transferring Supervised Knowledge. - Yang Yang 002; Yadan Luo; Weilun Chen; Fumin Shen; Jie Shao 001; Heng Tao Shen (ACM Multimedia, 2016)

Binary Subspace Coding for Query-by-Image Video Retrieval. - Ruicong Xu; Yang Yang 002; Yadan Luo; Fumin Shen; Zi Huang; Heng Tao Shen (CoRR, 2016)

Deep reinforcement learning-based vehicle energy efficiency autonomous learning system. - Xuewei Qi; Yadan Luo; Guoyuan Wu 001; Kanok Boriboonsomsin; Matthew J. Barth (Intelligent Vehicles Symposium, 2017)

Motion saliency detection for compressed videos. - Zhenhua Tang; Yadan Luo; Rui Zhang 066; Hongbo Jiang 001 (J. Electronic Imaging, 2017)

Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning. - Yadan Luo; Ziwei Wang 003; Zi Huang; Yang Yang 002; Cong Zhao (CIKM, 2018)

Look Deeper See Richer: Depth-aware Image Paragraph Captioning. - Ziwei Wang 003; Yadan Luo; Yang Li 140; Zi Huang; Hongzhi Yin (ACM Multimedia, 2018)

Robust discrete code modeling for supervised hashing. - Yadan Luo; Yang Yang 002; Fumin Shen; Zi Huang; Pan Zhou 001; Heng Tao Shen (Pattern Recognit., 2018)

Context-Aware Attention-Based Data Augmentation for POI Recommendation. - Yang Li 140; Yadan Luo; Zheng Zhang 006; Shazia Sadiq; Peng Cui 001 (ICDE Workshops, 2019)

Collaborative Generative Adversarial Network for Recommendation Systems. - Yuzhen Tong; Yadan Luo; Zheng Zhang 006; Shazia Sadiq; Peng Cui 001 (ICDE Workshops, 2019)

Cycle-Consistent Diverse Image Synthesis from Natural Language. - Zhi Chen 010; Yadan Luo (ICME Workshops, 2019)

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation. - Yadan Luo; Zi Huang; Zheng Zhang 006; Ziwei Wang 003; Jingjing Li 001; Yang Yang 002 (ACM Multimedia, 2019)

Deep Collaborative Discrete Hashing with Semantic-Invariant Structure. - Zijian Wang 009; Zheng Zhang 006; Yadan Luo; Zi Huang (SIGIR, 2019)

Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval. - Yadan Luo; Ziwei Wang 003; Zi Huang; Yang Yang 002; Huimin Lu 001 (CoRR, 2019)

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation. - Yadan Luo; Zi Huang; Zheng Zhang 006; Jingjing Li 001; Yang Yang 002 (CoRR, 2019)

CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language. - Zhi Chen 010; Jingjing Li 001; Yadan Luo; Zi Huang; Yang Yang 002 (CoRR, 2019)

Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling. - Yadan Luo; Zi Huang; Zheng Zhang 006; Ziwei Wang 003; Mahsa Baktashmotlagh; Yang Yang 002 (CoRR, 2019)

Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks. - Yadan Luo; Zi Huang; Zheng Zhang 006; Ziwei Wang 003; Mahsa Baktashmotlagh; Yang Yang 002 (AAAI, 2020)

Semi-supervised Cross-Modal Hashing with Graph Convolutional Networks. - Jiasheng Duan; Yadan Luo; Ziwei Wang 003; Zi Huang (ADC, 2020)

Graph-Based Relation-Aware Representation Learning for Clothing Matching. - Yang Li 140; Yadan Luo; Zi Huang (ADC, 2020)

PAIC: Parallelised Attentive Image Captioning. - Ziwei Wang 003; Zi Huang; Yadan Luo (ADC, 2020)

Progressive Graph Learning for Open-Set Domain Adaptation. - Yadan Luo; Zijian Wang 009; Zi Huang; Mahsa Baktashmotlagh (ICML, 2020)

Human Consensus-Oriented Image Captioning. - Ziwei Wang 003; Zi Huang; Yadan Luo (IJCAI, 2020)

Adversarial Bipartite Graph Learning for Video Domain Adaptation. - Yadan Luo; Zi Huang; Zijian Wang 009; Zheng Zhang 006; Mahsa Baktashmotlagh (ACM Multimedia, 2020)

Prototype-Matching Graph Network for Heterogeneous Domain Adaptation. - Zijian Wang 009; Yadan Luo; Zi Huang; Mahsa Baktashmotlagh (ACM Multimedia, 2020)

Fashion Recommendation with Multi-relational Representation Learning. - Yang Li 140; Yadan Luo; Zi Huang (PAKDD (1), 2020)

CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language. - Zhi Chen 010; Jingjing Li 001; Yadan Luo; Zi Huang; Yangyang Yangyang (WACV, 2020)

ORD: Object Relationship Discovery for Visual Dialogue Generation. - Ziwei Wang 003; Zi Huang; Yadan Luo; Huimin Lu 001 (CoRR, 2020)

Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph. - Yadan Luo; Zi Huang; Hongxu Chen 002; Yang Yang 002; Mahsa Baktashmotlagh (CoRR, 2020)

Semantics Disentangling for Generalized Zero-Shot Learning. - Zhi Chen 010; Yadan Luo; Ruihong Qiu; Sen Wang 001; Zi Huang; Jingjing Li 001; Zheng Zhang 006 (ICCV, 2021)

Learning to Diversify for Single Domain Generalization. - Zijian Wang 009; Yadan Luo; Ruihong Qiu; Zi Huang; Mahsa Baktashmotlagh (ICCV, 2021)

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. - Yang Li 140; Tong Chen 005; Yadan Luo; Hongzhi Yin; Zi Huang (IJCAI, 2021)

Mitigating Generation Shifts for Generalized Zero-Shot Learning. - Zhi Chen 010; Yadan Luo; Sen Wang 001; Ruihong Qiu; Jingjing Li 001; Zi Huang (ACM Multimedia, 2021)

Conditional Extreme Value Theory for Open Set Video Domain Adaptation. - Zhuoxiao Chen; Yadan Luo; Mahsa Baktashmotlagh (MMAsia, 2021)

RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management. - Zhuoxiao Chen; Yiyun Zhang; Yadan Luo; Zijian Wang 009; Jinjiang Zhong; Anthony Southon (MMAsia, 2021)

Enhanced Modality Transition for Image Captioning. - Ziwei Wang 003; Yadan Luo; Zi Huang (CoRR, 2021)

Collaborative Learning for Extremely Low Bit Asymmetric Hashing. - Yadan Luo; Zi Huang; Yang Li 140; Fumin Shen; Yang Yang 002; Peng Cui 001 (IEEE Trans. Knowl. Data Eng., 2021)

Deep Collaborative Discrete Hashing With Semantic-Invariant Structure Construction. - Zijian Wang 009; Zheng Zhang 006; Yadan Luo; Zi Huang; Heng Tao Shen (IEEE Trans. Multim., 2021)

Inductive Structure Consistent Hashing via Flexible Semantic Calibration. - Zheng Zhang 006; Luyao Liu 002; Yadan Luo; Zi Huang; Fumin Shen; Heng Tao Shen; Guangming Lu 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

High-order nonlocal Hashing for unsupervised cross-modal retrieval. - Peng-Fei Zhang; Yadan Luo; Zi Huang; Xin-Shun Xu; Jingkuan Song (World Wide Web, 2021)

Visual learning from imperfect data via inductive bias modelling - Yadan Luo (2021)

FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. - Xi Chen; Zhi Chen 010; Zijian Wang 009; Ruihong Qiu; Yadan Luo (ADC, 2022)

Color-strip Recognition Based Information Management System: Implementation on OBD Management. - Zhipeng Zhang; Yuan Hao; Xiaohang Yuan; Wenting Ma; Tieguang Cai; Hongyi Tang; Jun Xiao; Yingteng He; Xingang Chai; Wei Liu; Yadan Luo; Zhiheng Zhou (ICISCAE, 2022)

Discovering Domain Disentanglement for Generalized Multi-Source Domain Adaptation. - Zixin Wang; Yadan Luo; Peng-Fei Zhang; Sen Wang 001; Zi Huang (ICME, 2022)

Point to Rectangle Matching for Image Text Retrieval. - Zheng Wang 044; Zhenwei Gao; Xing Xu 001; Yadan Luo; Yang Yang 002; Heng Tao Shen (ACM Multimedia, 2022)

Federated Zero-Shot Learning for Visual Recognition. - Zhi Chen 010; Yadan Luo; Sen Wang 001; Jingjing Li 001; Zi Huang (CoRR, 2022)

Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis. - Xinyi Yang; Zhi Chen 010; Yadan Luo (ADC, 2023)

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. - Zhuoxiao Chen; Yadan Luo; Zheng Wang 044; Mahsa Baktashmotlagh; Zi Huang (ICCV, 2023)

Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection. - Yadan Luo; Zhuoxiao Chen; Zhen Fang 001; Zheng Zhang 006; Mahsa Baktashmotlagh; Zi Huang (ICCV, 2023)

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. - Zijian Wang 009; Yadan Luo; Liang Zheng 001; Zi Huang; Mahsa Baktashmotlagh (ICCV, 2023)

Learning Efficient Unsupervised Satellite Image-based Building Damage Detection. - Yiyun Zhang; Zijian Wang 009; Yadan Luo; Xin Yu 002; Zi Huang (ICDM, 2023)

Exploring Active 3D Object Detection from a Generalization Perspective. - Yadan Luo; Zhuoxiao Chen; Zijian Wang 009; Xin Yu 002; Zi Huang; Mahsa Baktashmotlagh (ICLR, 2023)

Open-RoadAtlas: Leveraging VLMs for Road Condition Survey with Real-Time Mobile Auditing. - Djamahl Etchegaray; Yadan Luo; Zachary FitzChance; Anthony Southon; Jinjiang Zhong (ACM Multimedia, 2023)

Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error. - Zixin Wang; Yadan Luo; Zhi Chen 010; Sen Wang 001; Zi Huang (ACM Multimedia, 2023)

FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification. - Zijian Wang 009; Yadan Luo; Zi Huang; Mahsa Baktashmotlagh (WACV, 2023)

Towards Open World Active Learning for 3D Object Detection. - Zhuoxiao Chen; Yadan Luo; Zixin Wang; Zijian Wang 009; Xin Yu 002; Zi Huang (CoRR, 2023)

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning. - Zhi Chen 010; Yadan Luo; Sen Wang 001; Jingjing Li 001; Zi Huang (IEEE Trans. Multim., 2023)

Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. - Yadan Luo; Zi Huang; Hongxu Chen 002; Yang Yang 002; Hongzhi Yin; Mahsa Baktashmotlagh (IEEE Trans. Knowl. Data Eng., 2023)

Deep collaborative graph hashing for discriminative image retrieval. - Zheng Zhang 006; Jianning Wang; Lei Zhu 002; Yadan Luo; Guangming Lu 002 (Pattern Recognit., 2023)

Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. - Yadan Luo; Zijian Wang 009; Zhuoxiao Chen; Zi Huang; Mahsa Baktashmotlagh (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Hypercomplex context guided interaction modeling for scene graph generation. - Zheng Wang 044; Xing Xu 001; Yadan Luo; Guoqing Wang 001; Yang Yang 002 (Pattern Recognit., 2023)

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. - Djamahl Etchegaray; Zi Huang; Tatsuya Harada; Yadan Luo (ECCV (40), 2024)

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection. - Bo Peng; Yadan Luo; Yonggang Zhang 003; Yixuan Li 001; Zhen Fang 001 (ICLR, 2024)

Edge Deployable Online Domain Adaptation for Underwater Object Detection. - Djamahl Etchegaray; Yadan Luo; Yang Li; Brendan Do; Jiajun Liu; Zi Huang; Branislav Kusy (IJCNN, 2024)

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection. - Zhuoxiao Chen; Zixin Wang; Yadan Luo; Sen Wang 001; Zi Huang (ACM Multimedia, 2024)

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection. - Jia Syuen Lim; Zhuoxiao Chen; Zhi Chen 010; Mahsa Baktashmotlagh; Xin Yu 002; Zi Huang; Yadan Luo (NeurIPS, 2024)

Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels. - Haoyang Luo; Zheng Zhang 006; Yadan Luo (NeurIPS, 2024)

Color-Oriented Redundancy Reduction in Dataset Distillation. - Bowen Yuan; Zijian Wang 009; Mahsa Baktashmotlagh; Yadan Luo; Zi Huang (NeurIPS, 2024)

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Yaru Niu; Wei Tsang Ooi; Benoit R. Cottereau; Lai Xing Ng; Yuexin Ma; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; et al. (CoRR, 2024)

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection. - Ziying Song; Feiyang Jia; Hongyu Pan; Yadan Luo; Caiyan Jia; Guoxin Zhang; Lin Liu; Yang Ji; Lei Yang 060; Li Wang 092 (CoRR, 2024)

Gaussian-Forest: Hierarchical-Hybrid 3D Gaussian Splatting for Compressed Scene Modeling. - Fengyi Zhang; Tianjun Zhang; Lin Zhang; Helen Huang; Yadan Luo (CoRR, 2024)

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection. - Zhuoxiao Chen; Junjie Meng; Mahsa Baktashmotlagh; Zi Huang; Yadan Luo (CoRR, 2024)

FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning. - Zhi Chen 010; Zecheng Zhao; Yadan Luo; Zi Huang (CoRR, 2024)

OC3D: Weakly Supervised Outdoor 3D Object Detection with Only Coarse Click Annotation. - Qiming Xia; Hongwei Lin; Wei Ye; Hai Wu; Yadan Luo; Shijia Zhao; Xin Li 003; Chenglu Wen (CoRR, 2024)

CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction. - Zhi Chen 010; Tianqi Wei 002; Zecheng Zhao; Jia Syuen Lim; Yadan Luo; Hu Zhang 005; Xin Yu 002; Scott Chapman; Zi Huang (CoRR, 2024)

Tokens on Demand: Token Condensation as Training-free Test-time Adaptation. - Zixin Wang; Dong Gong; Sen Wang 001; Zi Huang; Yadan Luo (CoRR, 2024)

Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs. - Jia Syuen Lim; Yadan Luo; Zhi Chen 010; Tianqi Wei 002; Scott Chapman; Zi Huang (CoRR, 2024)

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook. - Ziying Song; Lin Liu; Feiyang Jia; Yadan Luo; Caiyan Jia; Guoxin Zhang; Lei Yang 060; Li Wang 092 (IEEE Trans. Intell. Transp. Syst., 2024)

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving. - Ziying Song; Caiyan Jia; Lin Liu; Hongyu Pan; Yongchang Zhang; Junming Wang; Xingyu Zhang; Shaoqing Xu; Lei Yang 060; Yadan Luo (CVPR, 2025)

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection. - Zhuoxiao Chen; Junjie Meng; Mahsa Baktashmotlagh; Yonggang Zhang 003; Zi Huang; Yadan Luo (ICLR, 2025)

PolaFormer: Polarity-aware Linear Attention for Vision Transformers. - Weikang Meng; Yadan Luo; Xin Li 003; Dongmei Jiang; Zheng Zhang 006 (ICLR, 2025)

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents. - Zhizhen Zhang; Lei Zhu 002; Zhen Fang 001; Zi Huang; Yadan Luo (CoRR, 2025)

Out-of-Distribution Detection with Virtual Outlier Smoothing. - Jun Nie; Yadan Luo; Shanshan Ye; Yonggang Zhang 003; Xinmei Tian 001; Zhen Fang 001 (Int. J. Comput. Vis., 2025)

TT-GaussOcc: Test-Time Compute for Self-Supervised Occupancy Prediction via Spatio-Temporal Gaussian Splatting. - Fengyi Zhang; Huitong Yang; Zheng Zhang 006; Zi Huang; Yadan Luo (CoRR, 2025)

SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization. - Bowen Yuan; Yuxia Fu; Zijian Wang 009; Yadan Luo; Zi Huang (CoRR, 2025)

Local Information Matters: Inference Acceleration For Grounded Conversation Generation Models Through Adaptive Local-Aware Token Pruning. - Bizhe Bai; Jianjian Cao; Yadan Luo; Tao Chen (CoRR, 2025)

In Search of Lost Online Test-Time Adaptation: A Survey. - Zixin Wang; Yadan Luo; Liang Zheng 001; Zhuoxiao Chen; Sen Wang 001; Zi Huang (Int. J. Comput. Vis., 2025)

CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving. - Huitong Yang; Zhuoxiao Chen; Fengyi Zhang; Zi Huang; Yadan Luo (CoRR, 2025)

WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management. - Bowen Yuan; Selena Song; Javier Fernandez; Yadan Luo; Mahsa Baktashmotlagh; Zijian Wang 009 (CoRR, 2025)

NaLaFormer: Norm-Aware Linear Attention for Transformer Models. - Weikang Meng; Yadan Luo; Liangyu Huo; Yaowei Wang 001; Xin Li 003; Zheng Zhang 006 (CoRR, 2025)

Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving. - Djamahl Etchegaray; Yuxia Fu; Zi Huang; Yadan Luo (CoRR, 2025)

Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos. - Zecheng Zhao; Selena Song; Tong Chen 005; Zhi Chen 010; Shazia Sadiq; Yadan Luo (CoRR, 2025)

Breaking Imitation Bottlenecks: Reinforced Diffusion Powers Diverse Trajectory Generation. - Ziying Song; Lin Liu; Hongyu Pan; Bencheng Liao; Mingzhe Guo; Lei Yang 060; Yongchang Zhang; Shaoqing Xu; Caiyan Jia; Yadan Luo (CoRR, 2025)