Wei Liu - RankMe

159 papers A* 26A 21B 14Misc 3Journal 59Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deceiving question-answering models: A hybrid word-level adversarial approach. Neural Networks Jiyao Li, Mingze Ni, Yongshun Gong, Wei Liu
2026	J	`jnl`	Kernel-aware dynamic convolution for dense prediction. Pattern Recognit. Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Shaoli Huang, Wei Liu
2026	J	`jnl`	ReBaR: Reference-based reasoning for robust pose estimation from monocular images. Pattern Recognit. Yongkang Cheng, Mingjiang Liang, Jifeng Ning, Gaoge Han, Wei Liu, Shaoli Huang
2025	J	`jnl`	AICAttack: Adversarial Image Captioning Attack with Attention-based Optimization. Mach. Intell. Res. Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Yongshun Gong, Wei Liu
2025	A	`conf`	Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios. WACV Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Gaoge Han, Jifeng Ning, Wei Liu
2025	J	`jnl`	Cross-Entropy Attacks to Language Models via Rare Event Simulation. CoRR Mingze Ni, Yongshun Gong, Wei Liu
2025	J	`jnl`	GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation. Neural Networks Wenqian Mu, Jiyuan Liu, Yongshun Gong, Ji Zhong, Wei Liu, Haoliang Sun, Xiushan Nie, Yilong Yin, Yu Zheng
2025	J	`jnl`	Negatively correlated ensemble against transfer adversarial attacks. Pattern Recognit. Yunce Zhao, Wei Huang, Wei Liu, Xin Yao
2025	A	`conf`	ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model. WACV Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Wei Liu, Shaoli Huang
2025	A	`conf`	RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior. WACV Mingjiang Liang, Yongkang Cheng, Hualin Liang, Shaoli Huang, Wei Liu
2025	J	`jnl`	Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. IEEE Trans. Knowl. Data Eng. Yang An, Zhibin Li, Xiaoyu Li, Wei Liu, Xinghao Yang, Haoliang Sun, Meng Chen, Yu Zheng, Yongshun Gong
2025	—	`conf`	Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination. AI (2) Yiyao Zhang, Yifei Dong, Kun Yu, Wei Liu, Jianlong Zhou, Bin Liang, Fang Chen
2025	B	`conf`	Tag2Graph: A Multi-Agent Framework for Mining Knowledge Graphs from Industrial Time Series Data. IJCNN Zhen Zhao, Brian Kenneth Erickson, Shantanu Chakraborty, Wei Liu
2025	—	`conf`	The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. WWW (Companion Volume) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	—	`conf`	The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. KDD (2) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	Misc	`conf`	UniCausal: A Unified Approach to Causal Discovery from Hybrid Industrial Time Series and Events. AusDM Zhen Zhao, Brian Kenneth Erickson, Shantanu Chakraborty, Wei Liu
2025	B	`conf`	When Summaries Lie: Adversarial Attacks on Abstractive Summarization Models. IEEE Big Data Jiyao Li, Wei Liu
2024	A	`conf`	AI Agent for Information Retrieval: Generating and Ranking. CIKM Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024	J	`jnl`	AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization. CoRR Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu
2024	—	`conf`	CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui
2024	J	`jnl`	CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui
2024	J	`jnl`	Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios. CoRR Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Gaoge Han, Jifeng Ning, Wei Liu
2024	—	`conf`	DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems. AI (1) Zhen Zhao, Brian Kenneth Erickson, Shantanu Chakraborty, Wei Liu
2024	J	`jnl`	Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach. CoRR Jiyao Li, Mingze Ni, Yongshun Gong, Wei Liu
2024	J	`jnl`	Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie
2024	J	`jnl`	Dynamic semantic structure distillation for low-resolution fine-grained recognition. Pattern Recognit. Mingjiang Liang, Shaoli Huang, Wei Liu
2024	A	`conf`	ExpGest: Expressive Speaker Generation Using Diffusion Model and Hybrid Audio-Text Guidance. ICME Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Jifeng Ning, Wei Liu
2024	J	`jnl`	ExpGest: Expressive Speaker Generation Using Diffusion Model and Hybrid Audio-Text Guidance. CoRR Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Jifeng Ning, Wei Liu
2024	—	`conf`	Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning. DASFAA (2) Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
2024	J	`jnl`	Fine-Grained Urban Flow Inference with Multi-scale Representation Learning. CoRR Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
2024	J	`jnl`	Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. IEEE Trans. Knowl. Data Eng. Mingze Ni, Zhensu Sun, Wei Liu
2024	J	`jnl`	ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model. CoRR Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Wei Liu, Shaoli Huang
2024	J	`jnl`	Reversible Jump Attack to Textual Classifiers with Modification Reduction. CoRR Mingze Ni, Zhensu Sun, Wei Liu
2024	J	`jnl`	Reversible jump attack to textual classifiers with modification reduction. Mach. Learn. Mingze Ni, Zhensu Sun, Wei Liu
2024	J	`jnl`	Robust multi-label feature learning-based dual space. Int. J. Data Sci. Anal. Ali Braytee, Wei Liu
2024	J	`jnl`	RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior. CoRR Mingjiang Liang, Yongkang Cheng, Hualin Liang, Shaoli Huang, Wei Liu
2024	J	`jnl`	SWE-bench-java: A GitHub Issue Resolving Benchmark for Java. CoRR Daoguang Zan, Zhirong Huang, Ailun Yu, Shaoxin Lin, Yifan Shi, Wei Liu, Dong Chen, Zongshuai Qi, Hao Yu, Lei Yu, Dezhi Ran, Muhan Zeng, Bo Shen, Pan Bian, Guangtai Liang, Bei Guan, Pengjie Huang, Tao Xie, Yongji Wang, Qianxiang Wang
2024	Misc	`conf`	SecEval: A Security Evaluation Dataset for Large Language Models. AusDM Huining Cui, Wei Liu
2024	B	`conf`	Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings. IEEE Big Data Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard
2024	J	`jnl`	Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings. CoRR Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard
2024	A	`conf`	Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. CIKM Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong
2024	J	`jnl`	Token-modification adversarial attacks for natural language processing: A survey. AI Commun. Tom Roth, Yansong Gao, Alsharif Abuadbba, Surya Nepal, Wei Liu
2023	—	`conf`	Adversarial Active Learning with Guided BERT Feature Encoding. PAKDD (2) Xiaolin Pang, Kexin Xie, Yuxi Zhang, Max Fleming, Damian Chen Xu, Wei Liu
2023	A*	`conf`	Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng
2023	A*	`conf`	Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
2023	A*	`conf`	Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract). AAAI Mingze Ni, Zhensu Sun, Wei Liu
2023	J	`jnl`	Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. CoRR Mingze Ni, Zhensu Sun, Wei Liu
2023	Misc	`conf`	MStoCast: Multimodal Deep Network for Stock Market Forecast. AusDM Kamaladdin Fataliyev, Wei Liu
2023	J	`jnl`	Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng
2023	J	`jnl`	Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
2023	—	`ed.`	Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 21, 2022. AMLTS Wei Liu, Linsey Pang
2023	—	`ed.`	Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022. DL4SR@CIKM Wei Liu, Linsey Pang
2023	J	`jnl`	Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
2023	A*	`conf`	Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). ICDE Xinghao Yang, Weifeng Liu, Wei Liu
2023	J	`jnl`	WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement. Pattern Recognit. Qiong Liu, Qi Zhang, Wei Liu, Wenbai Chen, Xinwang Liu, Xiangke Wang
2022	A*	`conf`	AdKDD 2022. KDD Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie
2022	A	`conf`	Applied Machine Learning Methods for Time Series Forecasting. CIKM Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen
2022	J	`jnl`	Attacking neural machine translations via hybrid attention learning. Mach. Learn. Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu
2022	J	`jnl`	Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion. IEEE Trans. Cybern. Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
2022	A	`conf`	Deep Learning for Search and Recommendation. CIKM Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang
2022	A*	`conf`	Deep Search Relevance Ranking in Practice. KDD Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo
2022	J	`jnl`	Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition. IEEE Trans. Multim. Lianbo Zhang, Shaoli Huang, Wei Liu
2022	J	`jnl`	Image fairness in deep learning: problems, models, and challenges. Neural Comput. Appl. Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou
2022	B	`conf`	Interpretable Binaural Ratio for Visually Guided Binaural Audio Generation. IJCNN Tao Zheng, Sunny Verma, Wei Liu
2022	J	`jnl`	Learning multi-level weight-centric features for few-shot learning. Pattern Recognit. Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu
2022	J	`jnl`	Learning sequentially diversified representations for fine-grained categorization. Pattern Recognit. Lianbo Zhang, Shaoli Huang, Wei Liu
2022	J	`jnl`	Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng
2022	J	`jnl`	Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition. IEEE Trans. Knowl. Data Eng. Xinghao Yang, Weifeng Liu, Wei Liu
2021	J	`jnl`	A Survey on Canonical Correlation Analysis. IEEE Trans. Knowl. Data Eng. Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao
2021	A*	`conf`	BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. IJCAI Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu
2021	A*	`conf`	Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
2021	A*	`conf`	Do We Really Need Frame-by-Frame Annotation Datasets for Object Tracking? ACM Multimedia Lei Hu, Shaoli Huang, Shilei Wang, Wei Liu, Jifeng Ning
2021	J	`jnl`	Game Theoretical Adversarial Deep Learning With Variational Adversaries. IEEE Trans. Knowl. Data Eng. Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou
2021	—	`conf`	IntRoute: An Integer Programming Based Approach for Best Bus Route Discovery. DASFAA (3) Chang-Wei Sung, Xinghao Yang, Chung-Shou Liao, Wei Liu
2021	A	`conf`	Intra-class Part Swapping for Fine-Grained Image Classification. WACV Lianbo Zhang, Shaoli Huang, Wei Liu
2021	—	`conf`	Learning Discriminative Features Using Multi-label Dual Space. PAKDD (3) Ali Braytee, Wei Liu
2021	J	`jnl`	Learning Discriminative Features using Multi-label Dual Space. CoRR Ali Braytee, Wei Liu
2021	J	`jnl`	Semantic-Preserving Adversarial Text Attacks. CoRR Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu
2021	J	`jnl`	Structure-Aware Feature Generation for Zero-Shot Learning. CoRR Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao
2021	J	`jnl`	Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. IEEE Internet Things J. Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
2021	J	`jnl`	Token-Modification Adversarial Attacks for Natural Language Processing: A Survey. CoRR Tom Roth, Yansong Gao, Alsharif Abuadbba, Surya Nepal, Wei Liu
2021	J	`jnl`	Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. Quan Do, Wei Liu, Jin Fan, Dacheng Tao
2020	A*	`conf`	A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
2020	J	`jnl`	Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion. CoRR Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
2020	A*	`conf`	Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. ICDM Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu
2020	J	`jnl`	Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. CoRR Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu
2020	A*	`conf`	Population Location and Movement Estimation through Cross-domain Data Analysis. IJCAI Xinghao Yang, Wei Liu
2020	A*	`conf`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2020	J	`jnl`	Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. CoRR Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
2020	J	`jnl`	Unravelling the Architecture of Membrane Proteins with Conditional Random Fields. CoRR Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey
2019	A*	`conf`	A Compliance Checking Framework for DNN Models. IJCAI Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
2019	J	`jnl`	AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications. IEEE Trans. Cybern. Pengyi Yang, John T. Ormerod, Wei Liu, Chendong Ma, Albert Y. Zomaya, Jean Yee Hwa Yang
2019	J	`jnl`	Adversarial Deep Learning Models with Multiple Adversaries. IEEE Trans. Knowl. Data Eng. Aneesh Sreevallabh Chivukula, Wei Liu
2019	—	`conf`	Adversarial Deep Learning with Stackelberg Games. ICONIP (4) Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu
2019	J	`jnl`	Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance. ACM Trans. Intell. Syst. Technol. Ali Braytee, Wei Liu, Ali Anaissi, Paul J. Kennedy
2019	A*	`conf`	Cross-Domain Recommendation via Coupled Factorization Machines. AAAI Lile Li, Quan Do, Wei Liu
2019	A*	`conf`	DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis. IJCAI Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
2019	A*	`conf`	Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization. ICCV Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao
2019	—	`conf`	Multiple Knowledge Transfer for Cross-Domain Recommendation. PRICAI (3) Quan Do, Sunny Verma, Fang Chen, Wei Liu
2019	J	`jnl`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2019	—	`conf`	Towards Effective Data Augmentations via Unbiased GAN Utilization. PRICAI (3) Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
2018	A*	`conf`	Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
2018	—	`conf`	Discovering Granger-Causal Features from Deep Learning Networks. Australasian Conference on Artificial Intelligence Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu
2018	—	`conf`	Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images. ICONIP (1) Sunny Verma, Wei Liu, Chen Wang, Liming Zhu
2018	—	`conf`	Link Prediction via Factorization Machines. Australasian Conference on Artificial Intelligence Lile Li, Wei Liu
2018	A	`conf`	Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch
2018	J	`jnl`	Sparse Feature Attacks in Adversarial Learning. IEEE Trans. Knowl. Data Eng. Zhizhou Yin, Fei Wang, Wei Liu, Sanjay Chawla
2017	B	`conf`	Adversarial learning games with deep learning models. IJCNN Aneesh Sreevallabh Chivukula, Wei Liu
2017	J	`jnl`	DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. Trans. Large Scale Data Knowl. Centered Syst. Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2017	—	`conf`	Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation. PAKDD (2) Quan Do, Wei Liu, Fang Chen
2017	J	`jnl`	Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data. IEEE Trans. Big Data Hoang Nguyen, Wei Liu, Fang Chen
2017	A*	`conf`	Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization. AAAI Sunny Verma, Wei Liu, Chen Wang, Liming Zhu
2017	A	`conf`	Multi-Label Feature Selection using Correlation Information. CIKM Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy
2017	A*	`conf`	Positive unlabeled learning via wrapper-based adaptive sampling. IJCAI Pengyi Yang, Wei Liu, Jean Yee Hwa Yang
2017	B	`conf`	Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. IJCNN Ali Braytee, Wei Liu, Paul J. Kennedy
2016	—	`conf`	A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data. ICONIP (3) Ali Braytee, Wei Liu, Paul J. Kennedy
2016	B	`conf`	ASTEN: An accurate and scalable approach to Coupled Tensor Factorization. IJCNN Quan Do, Wei Liu
2016	A	`conf`	Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. CIKM Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu
2016	—	`conf`	Factorization of Multiple Tensors for Supervised Feature Extraction. ICONIP (3) Wei Liu
2016	—	`conf`	Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao
2016	A	`conf`	On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data. CIKM Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie
2016	—	`conf`	TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media. PAKDD (1) Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen
2016	B	`conf`	Training deep neural networks on imbalanced data sets. IJCNN Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy
2016	—	`conf`	WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data. WISE (1) Quan Do, Thanh Pham, Wei Liu, Kotagiri Ramamohanarao
2015	A*	`conf`	Actionable Combined High Utility Itemset Mining. AAAI Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao
2015	A*	`conf`	Coupled Collaborative Filtering for Context-aware Recommendation. AAAI Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long
2015	—	`conf`	Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. Australasian Conference on Artificial Intelligence Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2015	B	`conf`	Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2015	B	`conf`	Discrimination-Aware Classifiers for Student Performance Prediction. EDM Ling Luo, Irena Koprinska, Wei Liu
2015	B	`conf`	Document similarity analysis via involving both explicit and implicit semantic couplings. DSAA Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao
2015	B	`conf`	Mining actionable combined patterns of high utility and frequency. DSAA Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao
2015	—	`conf`	On Damage Identification in Civil Structures Using Tensor Analysis. PAKDD (1) Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie
2014	—	`conf`	Causal Structure Discovery for Spatio-temporal Data. DASFAA (1) Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen
2014	A*	`conf`	On Sparse Feature Attacks in Adversarial Learning. ICDM Fei Wang, Wei Liu, Sanjay Chawla
2014	—	`conf`	Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
2014	—	`conf`	Traffic Analysis as a Service via a Unified Model. IEEE SCC Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen, Chang-Shing Perng
2014	A	`conf`	Using Local Information to Significantly Improve Classification Performance. CIKM Wei Liu, Dong Lee, Rao Kotagiri
2013	—	`conf`	A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao
2013	A*	`conf`	A time-dependent enhanced support vector machine for time series regression. KDD Goce Ristanoski, Wei Liu, James Bailey
2013	B	`conf`	Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami
2013	A	`conf`	Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2013	A	`conf`	Discrimination aware classification for imbalanced datasets. CIKM Goce Ristanoski, Wei Liu, James Bailey
2013	—	`conf`	Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning. PAKDD (1) Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya
2013	A	`conf`	Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. SDM James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu
2013	J	`jnl`	On detection of emerging anomalous traffic patterns using GPS data. Data Knowl. Eng. Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng
2013	B	`conf`	Tikhonov or Lasso Regularization: Which Is Better and When. ICTAI Fei Wang, Sanjay Chawla, Wei Liu
2013	—	`conf`	Time Series Forecasting Using Distribution Enhanced Linear Regression. PAKDD (1) Goce Ristanoski, Wei Liu, James Bailey
2012	—	`conf`	An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries. Australasian Conference on Artificial Intelligence Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao
2012	A	`conf`	On compressing weighted time-evolving graphs. CIKM Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao
2012	A*	`conf`	SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. KDD Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2012	A	`conf`	Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. CIKM Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao
2011	A	`conf`	A Quadratic Mean based Supervised Learning Model for Managing Data Skewness. SDM Wei Liu, Sanjay Chawla
2011	—	`conf`	Class Confidence Weighted PAKDD (2) Wei Liu, Sanjay Chawla
2011	A*	`conf`	Discovering spatio-temporal causal interactions in traffic data streams. KDD Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie
2011	—	`conf`	On Mining Anomalous Patterns in Road Traffic Streams. ADMA (2) Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng
2010	A	`conf`	A Robust Decision Tree Algorithm for Imbalanced Data Sets. SDM Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla
2010	J	`jnl`	Mining adversarial patterns via regularized loss minimization. Mach. Learn. Wei Liu, Sanjay Chawla
2009	—	`conf`	A Game Theoretical Model for Adversarial Learning. ICDM Workshops Wei Liu, Sanjay Chawla
2008	—	`conf`	Spatio-temporal Outlier Detection in Precipitation Data. KDD Workshop on Knowledge Discovery from Sensor Data Elizabeth Wu, Wei Liu, Sanjay Chawla