Selected Publications

Codes for recently published papers: github.com/orgs/TL-UESTC/repositories

2023

Zhekai Du, Jingjing Li, Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation, Neural Information Processing Systems, (NeurIPS) 2023, CCF A, [pdf] [code] (Corresponding author)

Hongzu Su, Jingjing Li, Zhekai Du, Lei Zhu, Ke Lu, Heng Tao Shen, Cross-domain Recommendation via Dual Adversarial Adaptation, ACM Transactions on Information Systems (TOIS), 2023, CCF A, [pdf] [code] (Corresponding author)

Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees GM Snoek, Order-preserving Consistency Regularization for Domain Adaptation and Generalization." In Proceedings of the IEEE/CVF International Conference on Computer Vision, (ICCV) 2023, CCF A, [pdf] [code] (Corresponding author)

Hongzu Su, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu, Yang Yang, Task-Adversarial Adaptation for Multi-modal Recommendationg, Proceedings of the 31st ACM International Conference on Multimedia, ACM Multimedia 2023, CCF A [pdf] [code] (Corresponding author)

Zhiqi Yu, Jingjing Li, Zhekai Du, Fengling Li, Lei Zhu, Yang Yang, Noise-Robust Continual Test-Time Domain Adaptation, Proceedings of the 31st ACM International Conference on Multimedia, ACM Multimedia 2023, CCF A [pdf] [code] (Corresponding author)

Kangkai Wu, Jingjing Li, Lichao Meng, Fengling Li, Heng Tao Shen, Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption, IEEE Transactions on Instrumentation and Measurement (TIM) 2023, JCR I, [pdf] [code] (Corresponding author)

Xinyue Zhang, Jingjing Li, Hongzu Su, Lei Zhu, Heng Tao Shen, Multi-Level Attention-Based Domain Disentanglement for Bidirectional Cross-Domain Recommendation, ACM Transactions on Information Systems (TOIS), 2023, CCF A, [pdf] [code] (Corresponding author)

Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Cross-domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction, AAAI Conference on Artificial Intelligence (AAAI) 2023, CCF A, [pdf] [code] (Corresponding author)

Liyuan Shen, Jingjing Li, Lichao Meng, Lei Zhu and Heng Tao Shen, Transfer Learning-based State of Charge and State of Health Estimation for Li-ion Batteries: A Review, IEEE Transactions on Transportation Electrification (IEEE TTE) 2023 [pdf] [code] (Corresponding author)

Jinghan Ru, Jun Tian, Chengwei Xiao, Jingjing Li, Heng Tao Shen, Imbalanced open set domain adaptation via moving-threshold estimation and gradual alignment, IEEE Transactions on Multimedia (TMM) 2023, JCR I, [pdf] [code] (Corresponding author)

Jieyan Liu, Hongcai He, Mingzhu Liu, Jingjing Li, Ke Lu, Manifold Regularized Joint Transfer for Open Set Domain Adaptation, IEEE Transactions on Multimedia (TMM) 2023, JCR I, [pdf] [code] (Corresponding author)

Zhiqi Yu, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen. Classification Certainty Maximization for Unsupervised Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, [pdf] [code] (Corresponding author)

Hongzu Su, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen. Dual-aligned Feature Confusion Alleviation for Generalized Zero-shot Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, [pdf] [code] (Corresponding author)

Zhiqi Yu, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen. Uneven Bi-Classifier Learning for Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, [pdf] [code] (Corresponding author)

Lei Zhu, Xize Wu, Jingjing Li, Zheng Zhang, Weili Guan, Heng Tao Shen, Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-modal Retrieval, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, CCF A, [pdf] [code](Corresponding author)

Ke Zhang, Miao Long, Jie Chen, Mingzhu Liu, Jingjing Li, CFPNet: a denoising network for Complex frequency band signal processing, IEEE Transactions on Multimedia (TMM) 2023, JCR I, [pdf] [code] (Corresponding author)

Liyuan Shen, Jingjing Li, Lin Zuo, Lei Zhu and Heng Tao Shen, Source-Free Cross-Domain State of Charge Estimation of Lithium-ion Batteries at Different Ambient Temperatures, IEEE Transactions on Power Electronics (IEEE TPEL) 2023, JCR I [pdf] [code] (Corresponding author)

Liyuan Shen, Jingjing Li, Jieyan Liu, Lei Zhu, Heng Tao Shen, Temperature Adaptive Transfer Network for Cross-Domain State of Charge Estimation of Li-ion Batteries, IEEE Transactions on Power Electronics (IEEE TPEL) 2023, JCR I [pdf] [code] (Corresponding author)

Dan Shi, Lei Zhu, Xiao Dong, Xuemeng Song, Jingjing Li, Zhiyong Cheng, Adaptive Collaborative Soft Label Learning for Unsupervised Multi-view Feature Selection, IEEE Transactions on Knowledge Discovery from Data (TKDD), 2023, [pdf] [code]

2022

Ke Lu, Zhekai Du, Jingjing Li, Geyong Min, Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software Defined Networking, IEEE Transactions on Network and Service Management (TNSW) 2022, JCR I, [pdf] [code] (Corresponding author)

Xinyao Li, Jingjing Li, Lin Zuo, Lei Zhu and Heng Tao Shen, Domain Adaptive Remaining Useful Life Prediction with Transformer, IEEE Transactions on Instrumentation & Measurement (TIM) 2022, JCR I, [pdf] [code] (Corresponding author)

Kangkai Wu, Jingjing Li, Lin Zuo, Ke Lu, Heng Tao Shen, Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction, IEEE Transactions on Instrumentation & Measurement (TIM) 2022, JCR I, [pdf] [code] (Corresponding author)

Ziyang Wang, Yunhao Gou, Jingjing Li, Lei Zhu, Heng Tao Shen. Language-Augmented Pixel Embedding for Generalized Zero-shot Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, [pdf] [code] (Corresponding author)

Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek, Variational Model Perturbation for Source-Free Domain Adaptation, (NeurIPS) 2022, CCF A, [pdf] [code] (Corresponding author)

Hongzu Su, Yifei Zhang, Xuejiao Yang, Hua Hua, Shuangyang Wang and Jingjing Li, Cross-domain Recommendation via Adversarial Adaptation, (CIKM) 2022, CCF B, [pdf] [code] (Corresponding author)

Mengmeng Jing, Lichao Meng, Jingjing Li, Lei Zhu, and Heng Tao Shen, Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation, IEEE Transactions on Multimedia (TMM) 2022, JCR I, [pdf] [code] (Corresponding author)

Xinyao Li, Zhekai Du, Jingjing Li, Lei Zhu and Ke Lu, Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer, ACM Multimedia 2022, CCF A [pdf] [code] (Corresponding author)

Zhekai Du, Jingjing Li, Lin Zuo, Lei Zhu and Ke Lu, Energy-Based Domain Generalization for Face Anti-Spoofing, ACM Multimedia 2022, CCF A [pdf] [code] (Corresponding author)

Fuming You, Jingjing Li, Zhi Chen and Lei Zhu, Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation, ACM Multimedia 2022, CCF A [pdf] [code] (Corresponding author)

Xinhao Li, Jingjing Li, Zhekai Du, Lei Zhu, and Wen Li, Interpretable Open-Set Domain Adaptation via Angular Margin Separation , IEEE ECCV 2022, CCF B [pdf] [code] (Corresponding author)

Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, and Ke Lu, Distinguishing Unseen from Seen for Generalized Zero-shot Learning, IEEE CVPR 2022, CCF A [pdf] [code] (Corresponding author)

Hui Wen, Yue Wu, Jingjing Li, and Hancong Duan, Communication-Efficient Federated Data Augmentation on Non-IID Data , IEEE CVPRW 2022, CCF A [pdf] [code] (Corresponding author)

Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Heng Tao Shen. Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-Domain Discrepancies, IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2022, JCR I [pdf] [code] (Corresponding author)

Yalan Ye, Tongjie Pan, Tonghoujun Luo, Jingjing Li, and Heng Tao Shen, Learning Modality-Consistent Latent Representations for Generalized Zero-Shot Learning, IEEE Transactions on Multimedia (TMM) 2022, JCR I, [pdf] [code] (Corresponding author)

Chen Zhi, Luo Yadan, Wang Sen,Jingjing Li, and Huang Zi, GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning, IEEE Transactions on Multimedia (TMM) 2022, JCR I, [pdf] [code] (Corresponding author)

Jieyan Liu, Mengmeng Jing, Jingjing Li, Ke Lu, Heng Tao Shen. Open Set Domain Adaptation via Joint Alignment and Category Separation, IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2022, JCR I [pdf] [code] (Corresponding author)

Lei Zhu, Tianshi Wang, Jingjing Li, Zheng Zhang, Jialie Shen, Xinhua Wang, Efficient Query-based Black-Box Attack against Cross-modal Hashing Retrieval, ACM Transactions on Information Systems (TOIS), 2022, CCF A, [pdf] [code]

Chaoqun Zheng, Lei Zhu, Zheng Zhang, Jingjing Li, Xiaomei Yu, Efficient Semi-supervised Multi-modal Hashing with Importance Differentiation Regression, IEEE Transactions on Image Processing (TIP), 2022, CCF A, [pdf] [code]

Hui Cui, Lei Zhu, Jingjing Li, Zheng Zhang, Weili Guan, Webly Adaptive Image Hashing via Lightweight Semantic Transfer Network, ACM Multimedia 2022, CCF A [pdf] [code]

Yalan Ye, Ziqi Liu, Yangwuyong Zhang, Jingjing Li, Heng Tao Shen, Webly Adaptive Image Hashing via Lightweight Semantic Transfer Network, ACM Multimedia 2022, CCF A [pdf] [code]

Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Li Lu. Online ECG emotion recognition for unknown subjects via hypergraph-based transfer learning. IJCAI, 2022, CCF A [pdf] [code]

Wentao Tan, Lei Zhu, Weili Guan, Jingjing Li, Zhiyong Cheng. Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval. ACM SIGIR, 2022, CCF A [pdf] [code]

Wentao Tan, Lei Zhu, Jingjing Li, Huaxiang Zhang, Junwei Han, Teacher-Student Learning: Efficient Hierarchical Message Aggregation Hashing for Cross-Modal Retrieval, IEEE Transactions on Multimedia (TMM) 2022, JCR I, [pdf] [code]

Lei Zhu, Yang Xu, Jingjing Li, Weili Guan, Zhiyong Cheng, Explainable Discrete Collaborative Filtering, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, CCF A, [pdf] [code]

2021

Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen, Divergence-agnostic Unsupervised Domain Adaptation by Adversarial Attacks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021, CCF A, [pdf] [code]

Fuming You, Jingjing Li, Lei Zhu, Zhi Chen and Zi Huang, Domain Adaptive Semantic Segmentation without Source Data, ACM Multimedia 2021, CCF A [pdf] [code] (Corresponding author)

Xinhao Li, Jingjing Li, Lei Zhu, Guoqing Wang and Zi Huang, Imbalanced Source-free Domain Adaptation, ACM Multimedia 2021, CCF A [pdf] [code] (Corresponding author)

Zhekai Du, Jingjing Li, Ke Lu, Lei Zhu, and Zi Huang, Learning Transferrable and Interpretable Representations for Domain Generalization, ACM Multimedia 2021, CCF A [pdf] [code] (Corresponding author)

Ao Ma, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen. Adversarial Entropy Optimization for Unsupervised Domain Adaptation, IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2021, JCR I [pdf] [code] (Corresponding author)

Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, and Ke Lu, Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation, IEEE CVPR 2021, CCF A [pdf] [code] (Corresponding author)

Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen, Faster Domain Adaptation Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, CCF A, [pdf] [code]

Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen, Investigating the Bilateral Connections in Generative Zero-shot Learning, IEEE Transactions on Cybernetics (TCYB), 2021, JCR I, [pdf] [code]

Zhekai Du, Lin Zuo Jingjing Li, Yu Liu, Data-driven Prediction of Remaining Useful Lifetime and State of Charge for Lithium-ion Battery, IEEE Transactions on Transportation Electrification (IEEE TTE) 2021 [pdf] [code] (Corresponding author)

Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, and Heng Tao Shen, Adversarial Energy Disaggregation, ACM Transactions on Data Science (ACM TDS) 2021 [pdf] [code] (Corresponding author)

Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang, Balanced Open Set Domain Adaptation via Centroid Alignment, AAAI Conference on Artificial Intelligence (AAAI) 2021, CCF A, [pdf] [code] (Corresponding author)

Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang and Yang Yang, Region Semantically Aligned Network for Zero-Shot Learning, (CIKM) 2021, CCF B, [pdf] [code] (Corresponding author)

Yalan Ye, Yukun He, Tongjie Pan, Jingjing Li, Heng Tao Shen, Alleviating Domain Shift via Discriminative Learning for Generalized Zero-Shot Learning, IEEE Transactions on Multimedia (TMM) 2021, JCR I, [pdf] [code] (Corresponding author)

Fuming You, Hongzu Su, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang, Learning a Weighted Classifier for Conditional Domain Adaptation, Knowledge-Based Systems (KBS) 2021, JCR I, [pdf] [code] (Corresponding author)

Mingxing Zhang, Yang Yang, Xinghang Chen, Yanli Ji, Xing Xu Jingjing Li, Heng Tao Shen, Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos, IEEE CVPR 2021, CCF A [pdf] [code]

Zhi Chen, Sen Wang, Jingjing Li, Zi Huang, Semantics Disentangling for Generalized Zero-Shot Learning, (ICCV) 2021, CCF A, [pdf] [code]

Guoqing Wang, Changming Sun, Xing Xu, Jingjing Li, Zheng Wang, Zeyu Ma, Disentangled Representation Learning and Enhancement Network for Single Image De-Raining, ACM Multimedia 2021, CCF A [pdf] [code]

Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang, Enhancing Generalized Zero-Shot Learning by Visual Perturbation, ACM Multimedia 2021, CCF A [pdf] [code]

Hui Cui, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zheng Zhang, Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval, ACM Multimedia 2021, CCF A [pdf] [code]

Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Zheng Zhang, Huaxiang Zhang: Multi-modal Discrete Collaborative Filtering for Efficient Cold-start Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 CCF A [pdf] [code]

Dan Shi, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zhenguang Liu. Binary Label Learning for Semi-supervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 CCF A [pdf] [code]

Lei Zhu, Chaoqun Zheng, Zhiyong Cheng, Liqiang Nie, Jingjing Li, Huaxiang Zhang. Efficient Multi-modal Hashing with Online Query-Adaption for Multimedia Retrieval. ACM Transactions on Information Systems (TOIS), CCF A [pdf] [code]

Xiang Guan, Yang Yang, Jingjing Li, Xing Xu, Heng Tao Shen, Mind the Remainder: A Taylor‘s Theorem View on Recurrent Neural Networks, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2021, JCR I, [pdf] [code]

Chaoqun Zheng, Lei Zhu, Zhiyong Cheng, Jingjing Li, Anan Liu, Adaptive Partial Multi-view Hashing for Efficient Social Image Retrieval, IEEE Transactions on Multimedia (TMM) 2021, JCR I, [pdf] [code]

Yan Zhang; Ivor Tsang; Hongzhi Yin; Guowu Yang; Defu Lian; Jingjing Li, Deep Pairwise Hashing for Cold-start Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021, CCF A, [pdf] [code]

Zhi Chen, Zi Huang, Jingjing Li and Zheng Zhang, Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning, Australasian Database Conference (ADC2021). [pdf] [code]

2020

Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu and Heng Tao Shen, Maximum Density Divergence for Domain Adaptation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020, CCF A, [pdf] [code]

Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu and Yang Yang, Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning, ACM Multimedia 2020, CCF A [pdf] [code]

Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang and Zi Huang., Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders, ACM Multimedia 2020, CCF A [pdf] [code] (Corresponding author)

Mengmeng Jing, Jidong Zhao, Jingjing Li, Lei Zhu, Yang Yang and Heng Tao Shen, Adaptive Component Embedding for Domain Adaptation, IEEE Transactions on Cybernetics (TCYB), 2020, JCR I, [pdf] [code] (Corresponding author)

Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Ku and Yang Yang, Learning Explicitly Transferable Representations for Domain Adaptation, Neural Networks (NN), 2020, JCR I, [pdf] [code] (Corresponding author)

Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu and Yang Yang, Challenging Tough Samples in Unsupervised Domain Adaptation, Pattern Recognition (PR), 2020, JCR I, [pdf] [code] (Corresponding author)

Ao Ma, Fuming You, Mengmeng Jing Jingjing Li, and Ke Lu, Multi-Source Domain Adaptation with Graph Embedding and Adaptive Label Prediction, Information Processing and Management (IPM), 2020, JCR I, [pdf] [code] (Corresponding author)

Zhi Chen, Sen Wang, Jingjing Li and Zi Huang., Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches, ACM Multimedia 2020, CCF A [pdf] [code]

Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie, Scalable Deep Hashing for Large-Scale Social Image Retrieval, IEEE Transactions on Image Processing (TIP) 2020, CCF A, [pdf] [code]

Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang and Yang Yang, CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language, WACV 2020, [pdf] [code]

Ruihong Qiu, Zi Huang, Jingjing Li and Hongzhi Yin. Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. ACM Transaction on Information Systems (TOIS) 2020, CCF A, [pdf] [code]

Lei Zhu, Xu Lu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang. Deep Collaborative Multi-view Hashing for Large-scale Image Search. IEEE Transactions on Image Processing (TIP), 2020, CCF A, JCR I [pdf] [code]

Xu Lu, Lei Zhu, Jingjing Li, Huaxiang Zhang, Heng Tao Shen. Efficient Supervised Discrete Multi-view Hashing for Large-scale Multimedia Search. IEEE Transactions on Multimedia (TMM), 2020, JCR I, [pdf] [code]

Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun. Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation. AAAI Conference on Artificial Intelligence (AAAI), 2020, CCF A [pdf] [code]

Dan Shi, Lei Zhu, Yikun Li, Jingjing Li, Xiushan Nie. Robust Structured Graph Clustering. IEEE Transactions on Neural Network and Learning Systems (TNNLS), JCR I, 2020, [pdf] [code]

Lei Zhu, Hui Cui, Zhiyong Cheng, Jingjing Li, Zheng Zhang. Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020, [pdf] [code]

Lei Zhu, Xu Lu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang. Flexible Multi-modal Hashing for Scalable Multimedia Retrieval. ACM Transactions on Intelligent Systems and Technology (TIST), 2020, [pdf] [code]

2019

Jingjing Li, Mengmeng Jing, Zhengming Ding, Lei Zhu and Zi Huang, Leveraging the Invariant Side of Generative Zero-Shot Learning, IEEE CVPR 2019, CCF A [pdf] [code]

Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang and Zi Huang, From Zero-Shot Learning to Cold-Start Recommendation, AAAI 2019, CCF A [pdf] [code]

Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu and Heng Tao Shen, Locality Preserving Joint Transfer for Domain Adaptation, IEEE Transactions on Image Processing (TIP) 2019, CCF A [pdf] [code]

Chaoqun Zheng, Lei Zhu, Xu Lu, Jingjing Li, Zhiyong Cheng, Hanwang Zhang, Fast Discrete Collaborative Multi-modal Hashing for Large-scale Multimedia Retrieval, IEEE Transactions on Knowledge Discovering and Engineering (TKDE), 2019, CCF A [pdf] [code]

Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang, Adaptive Component Embedding for Unsupervised Domain Adaptation, IEEE International Conference on Multimedia and Expo (ICME), 2019, [pdf] [code]

Yi Bin, Chaofan Tao, Yang Yang, Zi Huang, Jingjing Li, Heng Tao Shen, MR-NET: Exploiting Mutual Relation for Visual Relationship Detection, AAAI, 2019, [pdf] [code]

Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu and Zi Huang, Agile Domain Adaptation, IJCNN 2019, [pdf] [code]

Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu, Discrete Optimal Graph Clustering, IEEE Transcations on Cybernetics (TCYB), 2019, [pdf] [code]

Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie, Scalable Deep Hashing for Large-scale Social Image Retrieval, IEEE Transcations on Image Processing (TIP), 2019, [pdf] [code]

Xu Lu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiushan Nie and Huaxiang Zhang, Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval, ACM Multimedia 2019, [pdf] [code]

Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Jingjing Li, Yang Yang, Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation, ACM Multimedia 2019, [pdf] [code]

Ruihong Qiu, Jingjing Li, Zi Huang and Hongzhi Yin, Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks, CIKM 2019, [pdf] [code]

Jiwei Wei, Yang Yang, Jingjing Li, Lei Zhu, Lin Zuo and Heng Tao Shen, Residual Graph Convolutional Networks for Zero-Shot Learning, ACM Multimedia Asia 2019, [pdf] [code]

Jingjing Li, Erpeng Chen, Ke Lu, Zhengming Ding, Lei Zhu and Zi Huang., Cycle-consistent Conditional Adversarial Transfer Networks, ACM Multimedia 2019, CCF A [pdf] [code]

Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang and Zi Huang., Alleviating Feature Confusion for Generative Zero-shot Learning, ACM Multimedia 2019, CCF A [pdf] [code]

Jingjing Li, Ke Lu, Zi Huang and Heng Tao Shen, On both Cold-Start and Long-Tail Recommendation with Social Data, IEEE Transactions on Knowledge Discovering and Engineering (TKDE), 2019, CCF A [pdf] [code]

2018

Jingjing Li, Ke Lu, Lei Zhu, Zi Huang and Jidong Zhao, I read, I saw, I tell: Texts Assisted Fine-grained Visual Classification, ACM Multimedia 2018, CCF A [pdf] [code]

Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen. Transfer Independently Together: A Generalized Framework for Domain Adaptation. IEEE Transactions on Cybernetics (TCYB), 2018, JCR I [pdf] [code]

Jingjing Li, Ke Lu, Lei Zhu, Zi Huang, Heng Tao Shen. Heterogeneous Domain Adaptation through Progressive Alignment, IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2018, JCR I [pdf] [code]

Jieyan Liu, Jingjing Li, Ke Lu, Coupled local–global adaptation for multi-source transfer learning, Neurocomputing, 2018. [pdf] [code]

Previous

Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu. Low-Rank Discriminant Embedding for Multiview Learning. IEEE Transactions on Cybernetics (TCYB), 2017, JCR I [pdf] [code]

Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen. Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation. ACM Multimedia (ACM MM), Mountain View, 2017. CCF A [pdf] [code]

Jingjing Li, Ke Lu, Jidong Zhao. Joint Feature Selection and Structure Preservation for Domain Adaptation. IJCAI, 2016, CCF A [pdf] [code]

Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu. Multi-manifold Sparse Graph Embedding for Multi‐modal Image Classification. Neurocomputing, 2016 [pdf] [code]