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ORCIDZi Huang
Zi Helen Huang
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- affiliation: University of Queensland, Brisbane, Australia
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2020 – today
- 2024
[j94]Junliang Yu
, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36(1): 335-355 (2024)- [j93]Minda Zhao, Xingqun Qi, Zhipeng Hu, Lincheng Li, Yongqiang Zhang, Zi Huang, Xin Yu:
Calligraphy Font Generation via Explicitly Modeling Location-Aware Glyph Component Deformations. IEEE Trans. Multim. 26: 5939-5950 (2024) - [j92]Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua:
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42(4): 108:1-108:28 (2024) - [j91]Richard Chbeir, Zi Helen Huang, Yannis Manolopoulos, Fabrizio Silvestri:
Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE). World Wide Web (WWW) 27(4): 45 (2024) - [c176]Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao:
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning. AAAI 2024: 17150-17158 - [c175]Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang:
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. ECIR (2) 2024: 80-95 - [c174]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Stage Learning for Radar Pulse Activity Segmentation. ICASSP 2024: 7340-7344 - [c173]Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng:
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. ICLR 2024 - [c172]Fenghua Cheng, Xue Li, Zi Huang, Jinxiang Wang, Sen Wang:
Event-Content-Oriented Dialogue Generation in Short Video. NAACL-HLT 2024: 4114-4124 - [c171]Peng-Fei Zhang, Zi Huang, Guangdong Bai:
Universal Adversarial Perturbations for Vision-Language Pre-trained Models. SIGIR 2024: 862-871 - [c170]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. SIGIR 2024: 2199-2209 - [i101]Djamahl Etchegaray, Zi Huang, Tatsuya Harada, Yadan Luo:
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. CoRR abs/2403.13556 (2024) - [i100]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. CoRR abs/2403.17780 (2024) - [i99]Peng-Fei Zhang, Zi Huang, Xin-Shun Xu, Guangdong Bai:
Effective and Robust Adversarial Training against Data and Label Corruptions. CoRR abs/2405.04191 (2024) - [i98]Peng-Fei Zhang, Zi Huang, Guangdong Bai:
Universal Adversarial Perturbations for Vision-Language Pre-trained Models. CoRR abs/2405.05524 (2024) - [i97]Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang:
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation. CoRR abs/2405.11791 (2024) - [i96]Yilun Liu, Ruihong Qiu, Zi Huang:
GCondenser: Benchmarking Graph Condensation. CoRR abs/2405.14246 (2024) - [i95]Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu:
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts. CoRR abs/2406.02208 (2024) - [i94]Zhuoxiao Chen, Zixin Wang, Sen Wang, Zi Huang, Yadan Luo:
DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection. CoRR abs/2406.13891 (2024) - [i93]Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Zi Huang, Yadan Luo:
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection. CoRR abs/2406.14878 (2024) - [i92]Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh, Zhi Chen, Xin Yu, Zi Huang, Yadan Luo:
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection. CoRR abs/2406.14924 (2024) - [i91]Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR abs/2406.17335 (2024) - [i90]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR abs/2407.13605 (2024) - [i89]Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu:
Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments. CoRR abs/2407.21452 (2024) - [i88]Tianqi Wei, Zhi Chen, Zi Huang, Xin Yu:
Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline. CoRR abs/2408.03120 (2024) - [i87]Zhi Chen, Zecheng Zhao, Yadan Luo, Zi Huang:
FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning. CoRR abs/2408.03355 (2024) - 2023
- [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang:
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning. IEEE Trans. Multim. 25: 5374-5385 (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) - [c169]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 - [c168]Heming Du, Zi Huang, Scott Chapman, Xin Yu:
Toward a Unified Framework for RGB and RGB-D Visual Navigation. AI (2) 2023: 363-375 - [c167]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 - [c166]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-Task Learning For Radar Signal Characterisation. ICASSP Workshops 2023: 1-5 - [c165]Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang:
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. ICCV 2023: 3691-3703 - [c164]Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh:
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. ICCV 2023: 5526-5535 - [c163]Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang:
Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection. ICCV 2023: 18233-18244 - [c162]Cheng-Wei Ching, Chirag Gupta, Zi Huang, Liting Hu:
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework. ICDCS Workshops 2023: 7-12 - [c161]Yilun Liu, Ruihong Qiu, Zi Huang:
CaT: Balanced Continual Graph Learning with Graph Condensation. ICDM 2023: 1157-1162 - [c160]Yiyun Zhang, Zijian Wang, Yadan Luo, Xin Yu, Zi Huang:
Learning Efficient Unsupervised Satellite Image-based Building Damage Detection. ICDM 2023: 1547-1552 - [c159]Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh:
Exploring Active 3D Object Detection from a Generalization Perspective. ICLR 2023 - [c158]Zixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Huang:
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error. ACM Multimedia 2023: 1167-1178 - [c157]Zhi Chen, Peng-Fei Zhang, Jingjing Li, Sen Wang, Zi Huang:
Zero-Shot Learning by Harnessing Adversarial Samples. ACM Multimedia 2023: 4138-4146 - [c156]Peng-Fei Zhang, Zi Helen Huang:
Multi-head Siamese Prototype Learning against both Data and Label Corruption. MMAsia 2023: 61:1-61:7 - [c155]Md. 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. NeurIPS 2023 - [c154]Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh:
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification. WACV 2023: 4124-4133 - [c153]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] - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-task Learning for Radar Signal Characterisation. CoRR abs/2306.13105 (2023) - [i81]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) - [i80]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) - [i79]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) - [i78]Zhi Chen, Peng-Fei Zhang, Jingjing Li, Sen Wang, Zi Huang:
Zero-Shot Learning by Harnessing Adversarial Samples. CoRR abs/2308.00313 (2023) - [i77]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) - [i76]Cheng-Wei Ching, Chirag Gupta, Zi Huang, Liting Hu:
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework. CoRR abs/2308.05757 (2023) - [i75]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) - [i74]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) - [i73]Yilun Liu, Ruihong Qiu, Zi Huang:
CaT: Balanced Continual Graph Learning with Graph Condensation. CoRR abs/2309.09455 (2023) - [i72]Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng:
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. CoRR abs/2310.04414 (2023) - [i71]Hu Zhang, Xin Shen, Heming Du, Huiqiang Chen, Chen Liu, Hongwei Sheng, Qingzheng Xu, Wahiduzzaman Khan, Qingtao Yu, Tianqing Zhu, Scott Chapman, Zi Huang, Xin Yu:
Divide and Ensemble: Progressively Learning for the Unknown. CoRR abs/2310.05425 (2023) - [i70]Zhuoxiao Chen, Yadan Luo, Zixin Wang, Zijian Wang, Xin Yu, Zi Huang:
Towards Open World Active Learning for 3D Object Detection. CoRR abs/2310.10391 (2023) - [i69]Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Brano Kusy, Zi Huang:
Understanding the Effects of Projectors in Knowledge Distillation. CoRR abs/2310.17183 (2023) - [i68]Zixin Wang, Yadan Luo, Liang Zheng, Zhuoxiao Chen, Sen Wang, Zi Huang:
In Search of Lost Online Test-time Adaptation: A Survey. CoRR abs/2310.20199 (2023) - [i67]Yiyun Zhang, Zijian Wang, Yadan Luo, Xin Yu, Zi Huang:
Learning Efficient Unsupervised Satellite Image-based Building Damage Detection. CoRR abs/2312.01576 (2023) - [i66]Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu:
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection. CoRR abs/2312.08876 (2023) - [i65]Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Terrence Martin:
Multi-stage Learning for Radar Pulse Activity Segmentation. CoRR abs/2312.09489 (2023) - [i64]Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang:
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. CoRR abs/2312.11229 (2023) - [i63]Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang:
PUMA: Efficient Continual Graph Learning with Graph Condensation. CoRR abs/2312.14439 (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) - [c152]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 - [c151]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. ICDM 2022: 428-437 - [c150]Zixin Wang, Yadan Luo, Peng-Fei Zhang, Sen Wang, Zi Huang:
Discovering Domain Disentanglement for Generalized Multi-Source Domain Adaptation. ICME 2022: 1-6 - [c149]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 - [c148]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 - [c147]Peng-Fei Zhang, Guangdong Bai, Zi Huang, Xin-Shun Xu:
Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach. ACM Multimedia 2022: 237-245 - [c146]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 - [c145]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 - [c144]Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang:
Improved Feature Distillation via Projector Ensemble. NeurIPS 2022 - [c143]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. WSDM 2022: 813-823 - [c142]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, Yadan Luo, Zi Huang, Heng Tao Shen:
Deep Collaborative Discrete Hashing With Semantic-Invariant Structure Construction. IEEE Trans. Multim. 23: 1274-1286 (2021) - [j67]