Han Liu - RankMe

109 papers A* 29A 5B 2C 1Misc 8Journal 44Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Emotions Like Human: Self-Supervised Emotion Label Augmentation for Emotion Recognition in Conversation. IEEE Trans. Affect. Comput. Qifeng Lai, Han Liu, Yuanman Li, Zhiguo Gong, Wei Wang
2026	A*	`conf`	Green Industrial Engineering on the Web: Agent-Driven Ant Colony Optimization Tuning for Energy-Efficient 3D Pipe Routing. WWW Xuanhan Fan, Rui Ding, Haojie Liu, Jibin Zhou, Han Liu, Yuanman Li, Wei Wang, Mao Ye
2026	J	`jnl`	Integrating knowledge from knowledge graphs and large language models for explainable entity alignment. Inf. Fusion Linyao Yang, Hongyang Chen, Xiao Wang, Jing Yang, Fei-Yue Wang, Han Liu
2026	A*	`conf`	KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving. AAAI Yuhuan Lu, Pengpeng Xu, Wei Wang, Zhen Zhang, Han Liu, Xiping Hu
2026	—	`conf`	RUQuant: Towards Refining Uniform Quantization for Large Language Models. KDD (1) Han Liu, Haotian Gao, Changya Li, Feng Zhang, Xiaotong Zhang, Wei Wang, Hong Yu
2026	A*	`conf`	SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack. WWW Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu
2025	—	`conf`	AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection. ACL (1) Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Wei Wang, Hong Yu
2025	A*	`conf`	Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving. AAAI Yuhuan Lu, Zhen Zhang, Rufan Bai, Han Liu, Wei Wang
2025	A*	`conf`	ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers. IJCAI Xiaoyan Yuan, Wei Wang, Han Liu, Jian Chen, Xiping Hu
2025	J	`jnl`	Injecting object pose relationships into image captioning via attention capsule networks. Appl. Soft Comput. Hong Yu, Yuanqiu Liu, Hui Li, Xin Han, Han Liu
2025	—	`conf`	Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks. KDD (1) QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu
2025	J	`jnl`	MV-STGCN: Multi-view Spatial-Temporal Graph Convolutional Networks for On-Street Parking Availability Prediction. ACM Trans. Spatial Algorithms Syst. Hongyang Chen, Sheng Zhang, Jiajia Xie, Han Liu, Guanlin Chen
2025	A*	`conf`	Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning. AAAI Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025	Misc	`conf`	Non-Autoregressive Image Captioning with Multi-Label Classification and Self-Critical Sequence Training. ICASSP Yuanqiu Liu, Hong Yu, Hui Li, Xiaotong Zhang, Xin Han, Han Liu
2025	—	`conf`	Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection. NAACL (Findings) Xiaotong Zhang, Qianru Zhou, Han Liu, Hong Yu
2025	J	`jnl`	Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method. IEEE Trans. Neural Networks Learn. Syst. Feiping Nie, Han Liu, Rong Wang, Xuelong Li
2025	—	`conf`	SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification. NAACL (Findings) Han Liu, Shuqin Li, Xiaotong Zhang, Yuanyuan Wang, Feng Zhang, Hongyang Chen, Hong Yu
2025	—	`conf`	SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models. KDD (1) Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025	—	`conf`	Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. ACL (Findings) Ziyi Yin, Muchao Ye, Yuanpu Cao, Jiaqi Wang, Aofei Chang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2025	—	`conf`	Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. KDD (2) Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025	J	`jnl`	Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. CoRR Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025	J	`jnl`	Towards Robust Multimodal Large Language Models Against Jailbreak Attacks. CoRR Ziyi Yin, Yuanpu Cao, Han Liu, Ting Wang, Jinghui Chen, Fenhlong Ma
2025	J	`jnl`	Transformer-Based Nonautoregressive Image Captioning via Guided Keyword Generation and Learnable Positional Encoding for IoT Devices. IEEE Internet Things J. Yuanqiu Liu, Hong Yu, Hui Li, Xin Han, Xiaotong Zhang, Han Liu
2025	J	`jnl`	Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models. CoRR Yolo Yunlong Tang, Jing Bi, Pinxin Liu, Zhenyu Pan, Zhangyun Tan, Qianxiang Shen, Jiani Liu, Hang Hua, Junjia Guo, Yunzhong Xiao, Chao Huang, Zhiyuan Wang, Susan Liang, Xinyi Liu, Yizhi Song, Junhua Huang, Jia-Xing Zhong, Bozheng Li, Daiqing Qi, Ziyun Zeng, Ali Vosoughi, Luchuan Song, Zeliang Zhang, Daiki Shimada, Han Liu, Jiebo Luo, Chenliang Xu
2024	—	`conf`	A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection. EMNLP (Findings) Xiaotong Zhang, Xinyi Li, Feng Zhang, Zhiyi Wei, Junfeng Liu, Han Liu
2024	A*	`conf`	A Goal Interaction Graph Planning Framework for Conversational Recommendation. AAAI Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang
2024	—	`conf`	AUGME: Trust-Minimized Bitcoin Layer2. BRAINS Han Liu, Yue Li, Yuan Tan, Menghang Zhang, Hongfei Da
2024	—	`conf`	Alignment-Enhanced Network for Temporal Language Grounding in Videos. ICANN (3) Hong Yu, Yu Zhang, Yuanqiu Liu, Hui Li, Han Liu
2024	A	`conf`	Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024	J	`jnl`	Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. CoRR Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024	—	`conf`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. EMNLP (Findings) Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024	J	`jnl`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. CoRR Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024	A	`conf`	Boosting Node Injection Attack with Graph Local Sparsity. ICME Wenxin Liang, Bingkai Liu, Han Liu, Hong Yu
2024	Misc	`conf`	Boosting Zero-Shot Node Classification via Dependency Capture and Discriminative Feature Learning. ICASSP Wenxin Liang, Zhiliang Hao, Han Liu, Hongyang Chen
2024	Misc	`conf`	Continual Learning with Class-Level Minimally Interfered Update. ICASSP Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong
2024	A*	`conf`	Depression Detection via Capsule Networks with Contrastive Learning. AAAI Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	—	`conf`	Dual Branch Non-Autoregressive Image Captioning. ICPR (18) Yuanqiu Liu, Hong Yu, Hui Li, Xin Han, Han Liu
2024	A	`conf`	Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective. CIKM Dandan Ni, Sheng Zhang, Cong Deng, Han Liu, Gang Chen, Minhao Cheng, Hongyang Chen
2024	—	`conf`	Few-Shot Intent Detection with Label-Enhanced Hierarchical Feature Learning and Graph Neural Networks. ACM TUR-C Han Liu, Siyang Zhao, Xiaotong Zhang
2024	J	`jnl`	HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. CoRR Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	J	`jnl`	IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things. Inf. Fusion Jian Chen, Yuzhu Hu, Qifeng Lai, Wei Wang, Junxin Chen, Han Liu, Gautam Srivastava, Ali Kashif Bashir, Xiping Hu
2024	J	`jnl`	Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks. CoRR QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu
2024	A*	`conf`	Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning. SIGIR Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang
2024	A*	`conf`	Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. AAAI Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	J	`jnl`	Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. CoRR Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	J	`jnl`	MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. Jie Mu, Feiping Nie, Wei Wang, Jian Xu, Jing Zhang, Han Liu
2024	Misc	`conf`	New Intent Discovery with Multi-View Clustering. ICASSP Han Liu, Junjie Sun, Xiaotong Zhang, Hongyang Chen
2024	—	`conf`	SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification. ACL (Findings) Wenxin Liang, Tingyu Zhang, Han Liu, Feng Zhang
2024	A*	`conf`	TGCA-PVT: Topic-Guided Context-Aware Pyramid Vision Transformer for Sticker Emotion Recognition. ACM Multimedia Jian Chen, Wei Wang, Yuzhu Hu, Junxin Chen, Han Liu, Xiping Hu
2024	J	`jnl`	Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment. CoRR Linyao Yang, Hongyang Chen, Xiao Wang, Jing Yang, Fei-Yue Wang, Han Liu
2024	A*	`conf`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024	J	`jnl`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2023	J	`jnl`	Adaptive Graph Convolution Methods for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang
2023	J	`jnl`	BCRNet: Bidirectional contrastive representation network for deep multimodal learning of exercise representations in online education systems. Neurocomputing Jie Mu, Xianchao Zhang, Yujiao Du, Yuxiang Hu, Han Liu, Jian Xu
2023	A*	`conf`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A*	`conf`	Boosting Few-Shot Text Classification via Distribution Estimation. AAAI Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Boosting Few-Shot Text Classification via Distribution Estimation. CoRR Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A	`conf`	Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
2023	A	`conf`	Boosting Visual Question Answering Through Geometric Perception and Region Features. ECAI Hong Yu, Zhiyue Wang, Yuanqiu Liu, Han Liu
2023	J	`jnl`	Capturing the few-shot class distribution: Transductive distribution optimization. Pattern Recognit. Xinyue Liu, Ligang Liu, Han Liu, Xiaotong Zhang
2023	Misc	`conf`	End-to-End Non-Autoregressive Image Captioning. ICASSP Hong Yu, Yuanqiu Liu, Baokun Qi, Zhaolong Hu, Han Liu
2023	A*	`conf`	HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. NeurIPS Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	Misc	`conf`	Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations. ICASSP Xiaotong Zhang, Peng He, Han Liu, Zhengxi Yin, Xinyue Liu, Xianchao Zhang
2023	—	`conf`	Meta-Generator Enhanced Multi-Domain Recommendation. WWW (Companion Volume) Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu, Han Liu
2023	A*	`conf`	PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
2023	A*	`conf`	SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. AAAI Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	Misc	`conf`	TRICL: Triplet Continual Learning. ICASSP Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang
2023	A*	`conf`	VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2023	J	`jnl`	VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2022	A*	`conf`	A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. SIGIR Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
2022	J	`jnl`	A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. CoRR Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
2022	J	`jnl`	Attributed graph clustering with multi-task embedding learning. Neural Networks Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu
2022	B	`conf`	Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. ICPR Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang
2022	J	`jnl`	Deep anomaly detection with self-supervised learning and adversarial training. Pattern Recognit. Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li
2022	J	`jnl`	Graph Clustering With Graph Capsule Network. Neural Comput. Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang
2022	A*	`conf`	Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. KDD Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
2022	J	`jnl`	Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. CoRR Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
2022	C	`conf`	POLYBRIDGE: A Crosschain Bridge For Heterogeneous Blockchains. ICBC Yue Li, Han Liu, Yuan Tan
2022	J	`jnl`	Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
2021	—	`conf`	An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. EMNLP (Findings) Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang
2021	J	`jnl`	An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. CoRR Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang
2021	B	`conf`	Class-based Core Feature Extraction Network for Few-shot Classification. SMC Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu
2021	A*	`conf`	Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. KDD Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu
2021	Misc	`conf`	Graphnet: Graph Clustering with Deep Neural Networks. ICASSP Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang
2021	A*	`conf`	Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. CVPR Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu
2021	J	`jnl`	RPC: Representative possible world based consistent clustering algorithm for uncertain data. Comput. Commun. Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu
2021	—	`conf`	Self-supervised Graph Representation Learning with Variational Inference. PAKDD (3) Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang
2021	J	`jnl`	Spectral embedding network for attributed graph clustering. Neural Networks Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu
2020	A*	`conf`	Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. ACL Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam
2019	A*	`conf`	Attributed Graph Clustering via Adaptive Graph Convolution. IJCAI Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
2019	J	`jnl`	Attributed Graph Clustering via Adaptive Graph Convolution. CoRR Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
2019	J	`jnl`	Attributed Graph Learning with 2-D Graph Convolution. CoRR Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu
2019	J	`jnl`	Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. CoRR Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu
2019	A*	`conf`	Label Efficient Semi-Supervised Learning via Graph Filtering. CVPR Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan
2019	J	`jnl`	PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data. Knowl. Based Syst. Han Liu, Xianchao Zhang, Xiaotong Zhang
2019	—	`conf`	Reconstructing Capsule Networks for Zero-shot Intent Classification. EMNLP/IJCNLP (1) Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y. S. Lam
2018	A*	`conf`	Multi-Task Clustering with Model Relation Learning. IJCAI Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo
2018	J	`jnl`	Partially Related Multi-Task Clustering. IEEE Trans. Knowl. Data Eng. Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
2018	J	`jnl`	Possible world based consistency learning model for clustering and classifying uncertain data. Neural Networks Han Liu, Xianchao Zhang, Xiaotong Zhang
2017	—	`conf`	A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. PAKDD (Workshops) Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang
2017	J	`jnl`	Multi-task clustering through instances transfer. Neurocomputing Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
2017	J	`jnl`	Novel density-based and hierarchical density-based clustering algorithms for uncertain data. Neural Networks Xianchao Zhang, Han Liu, Xiaotong Zhang
2017	J	`jnl`	Self-adapted mixture distance measure for clustering uncertain data. Knowl. Based Syst. Han Liu, Xianchao Zhang, Xiaotong Zhang, Yi Cui
2016	J	`jnl`	Multi-Task Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
2016	A*	`conf`	Self-Adapted Multi-Task Clustering. IJCAI Xianchao Zhang, Xiaotong Zhang, Han Liu
2015	A*	`conf`	Multi-Task Multi-View Clustering for Non-Negative Data. IJCAI Xianchao Zhang, Xiaotong Zhang, Han Liu
2015	J	`jnl`	Smart Multitask Bregman Clustering and Multitask Kernel Clustering. ACM Trans. Knowl. Discov. Data Xianchao Zhang, Xiaotong Zhang, Han Liu
2014	A*	`conf`	Novel Density-Based Clustering Algorithms for Uncertain Data. AAAI Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu