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Zi Helen Huang
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- affiliation: University of Queensland, Brisbane, Australia
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2020 – today
- 2023
[j89]Ji-Rong Wen
, Zi Huang, Hanwang Zhang:
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Mach. Intell. Res. 20(2): 145-146 (2023)- [j88]Yadan Luo, Zijian Wang, Zhuoxiao Chen, Zi Huang, Mahsa Baktashmotlagh:
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11240-11255 (2023) - [j87]Tian-Zi Niu, Shan-Shan Dong, Zhen-Duo Chen, Xin Luo, Zi Huang, Shanqing Guo, Xin-Shun Xu:
A multi-layer memory sharing network for video captioning. Pattern Recognit. 136: 109202 (2023) - [j86]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 2103-2117 (2023) - [j85]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3645-3657 (2023) - [j84]Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh:
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. IEEE Trans. Knowl. Data Eng. 35(4): 3991-4002 (2023) - [j83]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4345-4358 (2023) - [j82]Peng-Fei Zhang, Guangdong Bai, Hongzhi Yin, Zi Huang:
Proactive Privacy-preserving Learning for Cross-modal Retrieval. ACM Trans. Inf. Syst. 41(2): 35:1-35:23 (2023) - [j81]Tian-Zi Niu, Zhen-Duo Chen, Xin Luo, Peng-Fei Zhang, Zi Huang, Xin-Shun Xu:
Video Captioning by Learning from Global Sentence and Looking Ahead. ACM Trans. Multim. Comput. Commun. Appl. 19(5s): 171:1-171:20 (2023) - [j80]Jiasheng Duan, Peng-Fei Zhang, Ruihong Qiu, Zi Huang:
Long short-term enhanced memory for sequential recommendation. World Wide Web (WWW) 26(2): 561-583 (2023) - [c157]Anjie Zhu, Peng-Fei Zhang, Yi Zhang, Zi Huang, Jie Shao:
Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games. ACL (Findings) 2023: 13225-13236 - [c156]Heming Du, Lincheng Li, Zi Huang, Xin Yu:
Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States. CVPR 2023: 2563-2573 - [c155]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Task Learning For Radar Signal Characterisation. ICASSP Workshops 2023: 1-5 - [c154]Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh:
Exploring Active 3D Object Detection from a Generalization Perspective. ICLR 2023 - [c153]Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh:
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification. WACV 2023: 4124-4133 - [c152]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW 2023: 339-348 - [e6]Ioannis Kompatsiaris, Jiebo Luo, Nicu Sebe, Angela Yao, Vasileios Mazaris, Symeon Papadopoulos, Adrian Popescu, Zi Helen Huang:
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, ICMR 2023, Thessaloniki, Greece, June 12-15, 2023. ACM 2023 [contents] - [i76]Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh:
Exploring Active 3D Object Detection from a Generalization Perspective. CoRR abs/2301.09249 (2023) - [i75]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR abs/2302.10900 (2023) - [i74]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i73]Jun Li, Yi Bin, Liang Peng, Yang Yang, Yangyang Li, Hao Jin, Zi Huang:
Focusing on Relevant Responses for Multi-modal Rumor Detection. CoRR abs/2306.11746 (2023) - [i72]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-task Learning for Radar Signal Characterisation. CoRR abs/2306.13105 (2023) - [i71]Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang, Heming Du, Sen Wang, Minas Theodore Coroneo, Farshid Hajati, Sahar Shariflou, Michael Kalloniatis, Jack Phu, Ashish Agar, Zi Huang, S. Mojtaba Golzan, Xin Yu:
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation. CoRR abs/2307.06577 (2023) - [i70]Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Zi Huang, Mahsa Baktashmotlagh:
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection. CoRR abs/2307.07942 (2023) - [i69]Zhuoxiao Chen, Yadan Luo, Zi Huang, Zheng Wang, Mahsa Baktashmotlagh:
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. CoRR abs/2307.07944 (2023) - [i68]Zhi Chen, Peng-Fei Zhang, Jingjing Li, Sen Wang, Zi Huang:
Zero-Shot Learning by Harnessing Adversarial Samples. CoRR abs/2308.00313 (2023) - [i67]Zixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Huang:
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error. CoRR abs/2308.03003 (2023) - [i66]Cheng-Wei Ching, Chirag Gupta, Zi Huang, Liting Hu:
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework. CoRR abs/2308.05757 (2023) - [i65]Chen Liu, Peike Li, Hu Zhang, Lincheng Li, Zi Huang, Dadong Wang, Xin Yu:
BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge. CoRR abs/2308.10175 (2023) - [i64]Yan Jiang, Ruihong Qiu, Yi Zhang, Zi Huang:
UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media. CoRR abs/2309.04213 (2023) - [i63]Yilun Liu, Ruihong Qiu, Zi Huang:
CaT: Balanced Continual Graph Learning with Graph Condensation. CoRR abs/2309.09455 (2023) - 2022
- [j79]Yudi Li, Min Tang, Yun Yang, Zi Huang, Ruofeng Tong, Shuangcai Yang, Yao Li, Dinesh Manocha:
N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks. Comput. Graph. Forum 41(2): 547-558 (2022) - [j78]Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria:
Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput. Appl. 34(13): 10309-10319 (2022) - [j77]Liang Peng, Yang Yang, Zheng Wang, Zi Huang, Heng Tao Shen:
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 318-329 (2022) - [j76]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [j75]Peng-Fei Zhang, Yang Li, Zi Huang, Xin-Shun Xu:
Aggregation-Based Graph Convolutional Hashing for Unsupervised Cross-Modal Retrieval. IEEE Trans. Multim. 24: 466-479 (2022) - [j74]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40(2): 35:1-35:24 (2022) - [j73]Zi Huang, Yanyan Shen, Divesh Srivastava:
Special issue on responsible data management and data science. VLDB J. 31(5): 823 (2022) - [c151]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). ICDE 2022: 1533-1534 - [c150]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. ICDM 2022: 428-437 - [c149]Zixin Wang, Yadan Luo, Peng-Fei Zhang, Sen Wang, Zi Huang:
Discovering Domain Disentanglement for Generalized Multi-Source Domain Adaptation. ICME 2022: 1-6 - [c148]Zi Huang, Shulei Ji, Zhilan Hu, Chuangjian Cai, Jing Luo, Xinyu Yang:
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition. INTERSPEECH 2022: 4152-4156 - [c147]Fuman Xie, Yanjun Zhang, Chuan Yan, Suwan Li, Lei Bu, Kai Chen, Zi Huang, Guangdong Bai:
Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. ASE 2022: 90:1-90:13 - [c146]Peng-Fei Zhang, Guangdong Bai, Zi Huang, Xin-Shun Xu:
Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach. ACM Multimedia 2022: 237-245 - [c145]Peng-Fei Zhang, Zi Huang, Guangdong Bai, Xin-Shun Xu:
IDEAL: High-Order-Ensemble Adaptation Network for Learning with Noisy Labels. ACM Multimedia 2022: 325-333 - [c144]Peng-Fei Zhang, Zi Huang, Xin Luo, Pengfei Zhao:
Robust Learning with Adversarial Perturbations and Label Noise: A Two-Pronged Defense Approach. MMAsia 2022: 23:1-23:7 - [c143]Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang:
Improved Feature Distillation via Projector Ensemble. NeurIPS 2022 - [c142]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. WSDM 2022: 813-823 - [c141]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM 2022: 1415-1423 - [e5]Richard Chbeir, Zi Helen Huang, Fabrizio Silvestri, Yannis Manolopoulos, Yanchun Zhang:
Web Information Systems Engineering - WISE 2022 - 23rd International Conference, Biarritz, France, November 1-3, 2022, Proceedings. Lecture Notes in Computer Science 13724, Springer 2022, ISBN 978-3-031-20890-4 [contents] - [i62]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. CoRR abs/2201.02757 (2022) - [i61]Yadan Luo, Zijian Wang, Zhuoxiao Chen, Zi Huang, Mahsa Baktashmotlagh:
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. CoRR abs/2202.06174 (2022) - [i60]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. CoRR abs/2203.15876 (2022) - [i59]Zi Huang, Shulei Ji, Zhilan Hu, Chuangjian Cai, Jing Luo, Xinyu Yang:
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition. CoRR abs/2204.05649 (2022) - [i58]Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang:
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning. CoRR abs/2207.01798 (2022) - [i57]Zixin Wang, Yadan Luo, Peng-Fei Zhang, Sen Wang, Zi Huang:
Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation. CoRR abs/2207.05070 (2022) - [i56]Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang:
Federated Zero-Shot Learning for Visual Recognition. CoRR abs/2209.01994 (2022) - [i55]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. CoRR abs/2209.03735 (2022) - [i54]Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin:
Self-supervised Graph-based Point-of-interest Recommendation. CoRR abs/2210.12506 (2022) - [i53]Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang:
Improved Feature Distillation via Projector Ensemble. CoRR abs/2210.15274 (2022) - 2021
- [j72]Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang:
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. 8(1): 214-226 (2021) - [j71]Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen:
On Both Cold-Start and Long-Tail Recommendation with Social Data. IEEE Trans. Knowl. Data Eng. 33(1): 194-208 (2021) - [j70]Heng Tao Shen, Luchen Liu, Yang Yang, Xing Xu, Zi Huang, Fumin Shen, Richang Hong:
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 33(10): 3351-3365 (2021) - [j69]Yadan Luo, Zi Huang, Yang Li, Fumin Shen, Yang Yang, Peng Cui:
Collaborative Learning for Extremely Low Bit Asymmetric Hashing. IEEE Trans. Knowl. Data Eng. 33(12): 3675-3685 (2021) - [j68]Zijian Wang, Zheng Zhang, Yandan Luo, Zi Huang, Heng Tao Shen:
Deep Collaborative Discrete Hashing With Semantic-Invariant Structure Construction. IEEE Trans. Multim. 23: 1274-1286 (2021) - [j67]Zheng Zhang, Luyao Liu, Yadan Luo, Zi Huang, Fumin Shen, Heng Tao Shen, Guangming Lu:
Inductive Structure Consistent Hashing via Flexible Semantic Calibration. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4514-4528 (2021) - [j66]Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song:
High-order nonlocal Hashing for unsupervised cross-modal retrieval. World Wide Web 24(2): 563-583 (2021) - [j65]Yang Li, Tong Chen, Zi Huang:
Attribute-aware explainable complementary clothing recommendation. World Wide Web 24(5): 1885-1901 (2021) - [c140]Peng-Fei Zhang, Zi Huang, Xin-Shun Xu:
Proactive Privacy-preserving Learning for Retrieval. AAAI 2021: 3369-3376 - [c139]Zhi Chen, Zi Huang, Jingjing Li, Zheng Zhang:
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning. ADC 2021: 139-151 - [c138]Jawaher Alghamdi, Zi Huang:
Modeling Daily Crime Events Prediction Using Seq2Seq Architecture. ADC 2021: 192-203 - [c137]Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh:
Learning to Diversify for Single Domain Generalization. ICCV 2021: 814-823 - [c136]Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang:
Semantics Disentangling for Generalized Zero-Shot Learning. ICCV 2021: 8692-8700 - [c135]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng:
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. ICDE 2021: 2033-2038 - [c134]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. ICDM 2021: 519-528 - [c133]Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. IJCAI 2021: 1491-1497 - [c132]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. KDD 2021: 138-147 - [c131]Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang:
Mitigating Generation Shifts for Generalized Zero-Shot Learning. ACM Multimedia 2021: 844-852 - [c130]Peng-Fei Zhang, Jiasheng Duan, Zi Huang, Hongzhi Yin:
Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval. ACM Multimedia 2021: 1517-1525 - [c129]Yudong Chen, Sen Wang, Jianglin Lu, Zhi Chen, Zheng Zhang, Zi Huang:
Local Graph Convolutional Networks for Cross-Modal Hashing. ACM Multimedia 2021: 1921-1928 - [c128]Fuming You, Jingjing Li, Lei Zhu, Zhi Chen, Zi Huang:
Domain Adaptive Semantic Segmentation without Source Data. ACM Multimedia 2021: 3293-3302 - [c127]Xinhao Li, Jingjing Li, Lei Zhu, Guoqing Wang, Zi Huang:
Imbalanced Source-free Domain Adaptation. ACM Multimedia 2021: 3330-3339 - [c126]Zhekai Du, Jingjing Li, Ke Lu, Lei Zhu, Zi Huang:
Learning Transferrable and Interpretable Representations for Domain Generalization. ACM Multimedia 2021: 3340-3349 - [c125]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. ACM Multimedia 2021: 3844-3852 - [c124]Peng-Fei Zhang, Yang Li, Zi Huang, Hongzhi Yin:
Privacy Protection in Deep Multi-modal Retrieval. SIGIR 2021: 634-643 - [c123]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR 2021: 808-817 - [c122]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014 - [e4]Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9 [contents] - [i52]Zhi Chen, Zi Huang, Jingjing Li, Zheng Zhang:
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning. CoRR abs/2101.03292 (2021) - [i51]Zhi Chen, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang:
Semantic Disentangling Generalized Zero-Shot Learning. CoRR abs/2101.07978 (2021) - [i50]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR abs/2101.12549 (2021) - [i49]Ziwei Wang, Yadan Luo, Zi Huang:
Enhanced Modality Transition for Image Captioning. CoRR abs/2102.11526 (2021) - [i48]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR abs/2104.01711 (2021) - [i47]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. CoRR abs/2104.01716 (2021) - [i46]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. CoRR abs/2105.04774 (2021) - [i45]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. CoRR abs/2106.02223 (2021) - [i44]Yang Li, Tong Chen, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. CoRR abs/2106.15814 (2021) - [i43]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-based Recommendation. CoRR abs/2107.00846 (2021) - [i42]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. CoRR abs/2107.00852 (2021) - [i41]Yang Li, Tong Chen, Zi Huang:
Attribute-aware Explainable Complementary Clothing Recommendation. CoRR abs/2107.01655 (2021) - [i40]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. CoRR abs/2107.02390 (2021) - [i39]Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang:
Mitigating Generation Shifts for Generalized Zero-Shot Learning. CoRR abs/2107.03163 (2021) - [i38]Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh:
Learning to Diversify for Single Domain Generalization. CoRR abs/2108.11726 (2021) - [i37]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. CoRR abs/2109.00368 (2021) - [i36]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. CoRR abs/2110.05730 (2021) - [i35]Fuming You, Jingjing Li, Lei Zhu, Ke Lu, Zhi Chen, Zi Huang:
Domain Adaptive Semantic Segmentation without Source Data. CoRR abs/2110.06484 (2021) - [i34]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. CoRR abs/2110.10926 (2021) - [i33]Yudi Li, Min Tang, Yun Yang, Zi Huang, Ruofeng Tong, Shuangcai Yang, Yao Li, Dinesh Manocha:
N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks. CoRR abs/2112.06397 (2021) - 2020
- [j64]Weiqing Min, Yonghong Tian, Zi Huang, Wen-Huang Cheng, Abdulmotaleb El-Saddik:
Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications. IEEE Multim. 27(3): 8-11 (2020) - [j63]Huimin Lu, Tomoki Uemura, Dong Wang, Jihua Zhu, Zi Huang, Hyoungseop Kim:
Deep-Sea Organisms Tracking Using Dehazing and Deep Learning. Mob. Networks Appl. 25(3): 1008-1015 (2020) - [j62]Huimin Lu, Tomoki Uemura, Dong Wang, Jihua Zhu, Zi Huang, Hyoungseop Kim:
Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning. Mob. Networks Appl. 25(6): 2536 (2020) - [j61]Luyao Liu, Zheng Zhang, Zi Huang:
Flexible Discrete Multi-view Hashing with Collective Latent Feature Learning. Neural Process. Lett. 52(3): 1765-1791 (2020) - [j60]Shiyuan He, Bokun Wang, Zheng Wang, Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen:
Bidirectional Discrete Matrix Factorization Hashing for Image Search. IEEE Trans. Cybern. 50(9): 4157-4168 (2020) - [j59]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks. ACM Trans. Inf. Syst. 38(3): 22:1-22:23 (2020) - [j58]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang:
CRSAL: Conversational Recommender Systems with Adversarial Learning. ACM Trans. Inf. Syst. 38(4): 34:1-34:40 (2020) - [c121]Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang:
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks. AAAI 2020: 5021-5028 - [c120]