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ORCIDWei Liu 0007
刘伟
Person information
- unicode name: 刘伟
- affiliation: University of Technology Sydney, Australia
- affiliation: University of Melbourne, Australia
- affiliation: University of Sydney, Australia
Other persons with the same name
- Wei Liu — disambiguation page
- Wei Liu 0001
![[0000-0003-2968-2888]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2968-2888")
— University of Sheffield, Department of Electronic and Electrical Engineering, UK (and 2 more) - Wei Liu 0002 — Université Grenoble 1, Joseph Fourier, France
- Wei Liu 0003 — Chinese Academy of Sciences, Institute of Remote Sensing Application, Beijing, China
- Wei Liu 0004 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 1 more)
- Wei Liu 0005 — Tencent AI Lab, Shenzhen, China (and 5 more)
- Wei Liu 0006 (aka: Wei Vivian Liu) — University of Western Australia, Crawley, Australia (and 1 more)
- Wei Liu 0008 — Scalable Network Technologies, Los Angeles, CA, USA (and 1 more)
- Wei Liu 0009 — National University of Singapore, Mixed Reality Lab, Singapore
- Wei Liu 0010 — Yangzhou University, Department of Computer Science, College of Information Engineering, China (and 1 more)
- Wei Liu 0011 — Wuhan University, State Key Lab of Software Engineering, Wuhan, China (and 3 more)
- Wei Liu 0012 — Xidian University, State Key Lab of Integrated Service Networks, Xi'an, China (and 1 more)
- Wei Liu 0013 — National University of Defense Technology, School of Electronic Science, Changsha, China (and 2 more)
- Wei Liu 0014 — Intel, Santa Clara, CA, USA (and 2 more)
- Wei Liu 0015 — Nuro Inc., Mountain View, CA, USA (and 1 more)
- Wei Liu 0016 — Politecnico di Torino, Italy (and 1 more)
- Wei Liu 0017 — Bloomberg, New York, NY, USA (and 1 more)
- Wei Liu 0018 — Georgia Gwinnett College, Lawrenceville, GA, USA (and 1 more)
- Wei Liu 0019 — Ghent University, Belgium
- Wei Liu 0020 — Beijing Normal University, Faculty of Psychology, China (and 2 more)
- Wei Liu 0021 (aka: Wei (Wayne) Liu) — Microsoft, Redmond, WA, USA (and 2 more)
- Wei Liu 0022 — Northeastern University, Research Academy / School of Information Science and Engineering, Shenyang, China
- Wei Liu 0023 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Wei Liu 0024 — National University of Singapore, Department of Mechanical Engineering, Singapore
- Wei Liu 0025 — US Research Center, Sony Electronics, San Jose, CA. USA (and 1 more)
- Wei Liu 0026 — CUHK, Department of Information Engineering, Hongkong
- Wei Liu 0027 — Shanghai University, School of Computer Engineering and Science, China
- Wei Liu 0028 — Graduate University of Chinese Academy of Sciences, Beijing, China
- Wei Liu 0029 — National Institute of Information and Communications Technology, Tokyo, Japan (and 1 more)
- Wei Liu 0030 — University of Southampton, School of Mathematics, UK (and 1 more)
- Wei Liu 0031 — Hisense State Key Laboratory of Digital Multi-Media Technology, Qingdao, China
- Wei Liu 0032 — Huazhong University of Science and Technology, College of Life Science and Technology, Wuhan, China
- Wei Liu 0033 — Shandong University, School of Mechanical, Electrical & Information Engineering, Weihai, China
- Wei Liu 0034 — Microsoft (and 1 more)
- Wei Liu 0035 — Fujitsu Research & Development Center (and 1 more)
- Wei Liu 0036 — ExxonMobil (and 1 more)
- Wei Liu 0037 — Dalian University of Technology, Key Laboratory for Precision and Non-traditional Machining Technology, China
- Wei Liu 0038 — China Mobile Research Institute, Beijing, China
- Wei Liu 0039 — Shanghai Normal University, Shanghai, China (and 2 more)
- Wei Liu 0040 — Hangzhou Dianzi University, College of Life Information Science and Instrument Engineering / Institute for Biomedical Engineering and Instrumentation, China
- Wei Liu 0041 — South China University of Technology, Guangzhou, China (and 1 more)
- Wei Liu 0042 — CAS, Shenzhen Institutes of Advanced Technology, China
- Wei Liu 0043 — Zhengzhou University, School of Software Technology, China (and 1 more)
- Wei Liu 0044 — University of Adelaide, SA, Australia (and 2 more)
- Wei Liu 0045 — East China Normal University, Key Laboratory of Brain Functional Genomics, Shanghai, China
- Wei Liu 0046 — Shanghai Library, China
- Wei Liu 0047 — Guangxi University, School of Computer, Electronics and Information, Nanjing, China
- Wei Liu 0048 — Beijing University of Chemical Technology, College of Mechanical and Electrical Engineering, Beijing, China (and 1 more)
- Wei Liu 0049 — Tianjin Polytechnic University, Advanced Mechatronics Equipment Technology Tianjin Area Major Laboratory, China
- Wei Liu 0050 — Shanghai Maritime University, Merchant Marine College, China (and 1 more)
- Wei Liu 0051 — Shandong University of Science and Technology, College of Information Science and Engineering, Qingdao, China
- Wei Liu 0052 — East China Jiao Tong University, Virtual Reality and Interactive Techniques Institute, Nanchang, China (and 1 more)
- Wei Liu 0053 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Wei Liu 0054 — Jiangnan University, Business School, Wuxi, China
- Wei Liu 0055 — Dalian University of Technology, School of Information and Communication Engineering, China
- Wei Liu 0056 — Shanghai Jiao Tong University, National Engineering Research Center of Die & Mold CAD, China
- Wei Liu 0057 — East China Normal University, Department of Mathematics, Centre for Applied and Interdisciplinary Mathematics, Shanghai, China
- Wei Liu 0058 — Beijing Institute of Technology, School of Mechanical Engineering, China
- Wei Liu 0059 — Chongqing University of Technology, China
- Wei Liu 0060 — Wuhan Institute of Technology, School of Computer Science and Engineering, Hubei Province Key Laboratory of Intelligent Robot, China
- Wei Liu 0061 — Sun Yat-sen University, School of Data and Computer Science, Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China
- Wei Liu 0062 — Hebei Vocational College of Chemical and Pharmaceutical Technology, Department of Mathematics, China
- Wei Liu 0063 — Nanjing University of Science and Technology, School of Automation, Department of Electrical Engineering, China (and 1 more)
- Wei Liu 0064 — Beijing University of Posts and Telecommunications, School of Computer Science, China
- Wei Liu 0065 — Shenzhen Institute of Information Technology, Shenzhen Key Lab of Visual Media Processing and Transmission, China
- Wei Liu 0066 — Chongqing University, School of Economics and Business Administration, China
- Wei Liu 0067 — Chinese Academy of Sciences, Fujian Institute of Research on the Structure of Matter, Fuzhou, China (and 3 more)
- Wei Liu 0068 — Beijing University of Chemical Technology, State Key Laboratory of Chemical Resource Engineering, China
- Wei Liu 0069 — Ludong University, Department of Modern Education Technology, Yantai, China
- Wei Liu 0070 — NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China
- Wei Liu 0071 — Beijing Institute of Technology, Computer Department, China
- Wei Liu 0072 — Fujian Agriculture and Forestry University, College of Life Sciences, Fuzhou, China (and 1 more)
- Wei Liu 0073 — University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China
- Wei Liu 0074 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Wei Liu 0075 — National University of Defense Technology, College of Advanced Interdisciplinary Studies, Changsha, China
- Wei Liu 0076 — Harbin Institute of Technology, Department of Information Engineering, School of Electronics and Information Engineering, China
- Wei Liu 0077 — Hunan University of Chinese Medicine, School of Informatics, Changsha, China
- Wei Liu 0078 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, Center for Brain-Like Computing and Machine Intelligence, China
- Wei Liu 0079 — Henan Polytechnic University, School of Electrical Engineering and Automation, Jiaozuo, China (and 1 more)
- Wei Liu 0080 — Chonbuk National University, Department of Computer Engineering, Artificial Intelligence Lab, Jeonju-si, South Korea
- Wei Liu 0081 — Xiangtan University, College of Information Engineering, China
- Wei Liu 0082 — Wuhan University, School of Mathematics and Statistics, China
- Wei Liu 0083 — Ludong University, School of Mathematics and Statistics Science, Yantai, China (and 1 more)
- Wei Liu 0084 — Communication University of China, School of Computer Science and Cybersecurity, Beijing, China
- Wei Liu 0085 — Tsinghua University, Department of Automation, TNList, Beijing, China
- Wei Liu 0086 — Hangzhou Dianzi University, School of Automation, China
- Wei Liu 0087 — China Academy of Space Technology, Beijing, China
- Wei Liu 0088 — Hohai University, College of Science, Nanjing, China
- Wei Liu 0089 — Jilin University, College of Communication Engineering, Changchun, China
- Wei Liu 0090 — Shaanxi Xueqian Normal University, School of Information Engineering, Xi'an, China
- Wei Liu 0091 — University of Hong Kong, Department of Computer Science, Hong Kong
- Wei Liu 0092 — Jiangxi University of Science and Technology, School of Resources and Environment Engineering, Ganzhou, China
- Wei Liu 0093 — Hebei University of Technology, National Engineering Research Center for Technological Innovation Method and Tool, Tianjin, China
- Wei Liu 0094 — Jilin Normal University, School of Information and Technology, Siping, China
- Wei Liu 0095 — Jiangsu Normal University, School of Geography, Geomatics and Planning, Xuzhou, China
- Wei Liu 0096 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Wei Liu 0097 — National University of Defense Technology, School of Electronic Science, National Key Laboratory of Science and Technology on ATR, Changsha, China (and 1 more)
- Wei Liu 0098 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
- Wei Liu 0099 — Hubei University of Technology, School of Computer Science, Wuhan, China
- Wei Liu 0100 — France Telecom Research & Development, Orange Lab Beijing, China
- Wei Liu 0101 — University of New South Wales, School of Computer Science and Engineering & School of Civil and Environmental Engineering, Sydney, Australia
- Wei Liu 0102 — Chongqing University, State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing, China
- Wei Liu 0103 — Duke University, Department of Biomedical Engineering, Durham, NC, USA
- Wei Liu 0104 — Nanjing University of Science and Technology, School of Automation, Nanjing, China
- Wei Liu 0105 — EPFL, School of Computer and Communication Sciences, Lausanne, Switzerland
- Wei Liu 0106 — Nanjing University of Posts and Telecommunications, School of Computer Science, China
- Wei Liu 0107 — Southeast University, School of Electrical Engineering, Nanjing, China
- Wei Liu 0108 — Guangdong Power Grid Company, Ltd., China
- Wei Liu 0109 — Jiangsu University, Zhenjiang, China
- Wei Liu 0110 — Tongji University, School of Automotive Studies, Shanghai, China
- Wei Liu 0111 — Shanghai Maritime University, College of Transport and Communications, China
- Wei Liu 0112 — Fuzhou University, College of Physics and Information Engineering, Fujian, China
- Wei Liu 0113 — Changzhou College of Information Technology, Open Laboratory of Industrial Cloud for Intelligent Manufacturing, China
- Wei Liu 0114 — Shandong Technology and Business University, College of Mathematic and Information Science, Yantai, China
- Wei Liu 0115 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China
- Wei Liu 0116 — Xi'an University of Posts and Communications, School of Computer Science, China
- Wei Liu 0117 — Cardiff University, School of Engineering, UK
- Wei Liu 0118 — Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China
- Wei Liu 0119 — Chinese Academy of Sciences, Aerospace Information Research Institute / Institute of Remote Sensing and Digital Earth, Beijing, China
- Wei Liu 0120 — China Agricultural University, College of Land Science and Technology, Beijing, China
- Wei Liu 0121 — Zhoukou Normal University, School of Mathematics and Statistics, China
- Wei Liu 0122 — Beijing University of Posts and Telecommunications, Automation School, China (and 1 more)
- Wei Liu 0123 — Wuhan Institute of Technology, School of Computer Science and Engineering, Hubei Key Laboratory of Intelligent Robot, China (and 1 more)
- Wei Liu 0124 — Heilongjiang University, Harbin, China
- Wei Liu 0125 — Naval University of Engineering, National Key Laboratory of Science and Technology on Vessel Integrated Power System, Wuhan, China
- Wei Liu 0126 — Xi'an University of Technology, College of Automation and Information Engineering, China
- Wei Liu 0127 — Alibaba DAMO Academy, Hangzhou, China (and 1 more)
- Wei Liu 0128 — Shaanxi Applied Physics and Chemistry Research Institute, National Key Laboratory of Applied Physics and Chemistry, Xi'an, China
- Wei Liu 0129 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Wei Liu 0130 — Beijing Normal University, College of Chemistry, China
- Wei Liu 0131 — ShanghaiTech University, Shanghai, China (and 1 more)
- Wei Liu 0132 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Wei Liu 0133 — Northeastern University, College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Wei Liu 0134 — Southern University of Science and Technology, Shenzhen, China (and 1 more)
- Wei Liu 0135 — Qingdao University, Business School, China (and 1 more)
- Wei Liu 0136 — South China Normal University, Guangzhou, China (and 1 more)
- Wei Liu 0137 — Guangdong University of Finance and Economics, Guangzhou, China
- Wei Liu 0138 — Donghua University, School of Computer Science and Technology, Shanghai, China
- Wei Liu 0139 — Xi'an Jiaotong University, School of Electrical Engineering, China
- Wei Liu 0140 — National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China
- Wei Liu 0141 — Xinyang Normal University, Intercultural Language Research Center, China
- Wei Liu 0142 — Xihua University, School of Electrical Engineering and Electronic Information, Chengdu, China
- Wei Liu 0143 — TuSimple, China (and 1 more)
- Wei Liu 0144 — Huazhong University of Science and Technology, China
- Wei Liu 0145 — Heidelberg Institute for Theoretical Studies (HITS), Germany (and 2 more)
- Wei Liu 0146 — Mayo Clinic, Department of Radiation Oncology, Phoenix, AZ, USA
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Journal Articles
- 2024
[j29]Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie:
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. 328: 104065 (2024)- [j28]Ali Braytee, Wei Liu:
Robust multi-label feature learning-based dual space. Int. J. Data Sci. Anal. 17(4): 373-387 (2024) - [j27]Mingze Ni, Zhensu Sun, Wei Liu:
Reversible jump attack to textual classifiers with modification reduction. Mach. Learn. 113(9): 5907-5937 (2024) - [j26]Mingjiang Liang, Shaoli Huang, Wei Liu:
Dynamic semantic structure distillation for low-resolution fine-grained recognition. Pattern Recognit. 148: 110216 (2024) - [j25]Mingze Ni, Zhensu Sun, Wei Liu:
Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. IEEE Trans. Knowl. Data Eng. 36(7): 3062-3075 (2024) - 2023
- [j24]Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin:
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11053-11066 (2023) - [j23]Qiong Liu, Qi Zhang, Wei Liu, Wenbai Chen, Xinwang Liu, Xiangke Wang:
WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement. Pattern Recognit. 143: 109774 (2023) - [j22]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng:
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35(1): 686-698 (2023) - [j21]Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8(4): 583-595 (2023) - 2022
- [j20]Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu:
Attacking neural machine translations via hybrid attention learning. Mach. Learn. 111(11): 3977-4002 (2022) - [j19]Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou:
Image fairness in deep learning: problems, models, and challenges. Neural Comput. Appl. 34(15): 12875-12893 (2022) - [j18]Lianbo Zhang, Shaoli Huang, Wei Liu:
Learning sequentially diversified representations for fine-grained categorization. Pattern Recognit. 121: 108219 (2022) - [j17]Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu:
Learning multi-level weight-centric features for few-shot learning. Pattern Recognit. 128: 108662 (2022) - [j16]Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion. IEEE Trans. Cybern. 52(7): 6567-6578 (2022) - [j15]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng:
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. 34(2): 865-880 (2022) - [j14]Xinghao Yang, Weifeng Liu, Wei Liu:
Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition. IEEE Trans. Knowl. Data Eng. 34(6): 2948-2961 (2022) - [j13]Lianbo Zhang, Shaoli Huang, Wei Liu:
Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition. IEEE Trans. Multim. 24: 4409-4421 (2022) - 2021
- [j12]Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao:
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. IEEE Internet Things J. 8(6): 4980-4990 (2021) - [j11]Quan Do, Wei Liu, Jin Fan, Dacheng Tao:
Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 33(1): 302-315 (2021) - [j10]Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao:
A Survey on Canonical Correlation Analysis. IEEE Trans. Knowl. Data Eng. 33(6): 2349-2368 (2021) - [j9]Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou:
Game Theoretical Adversarial Deep Learning With Variational Adversaries. IEEE Trans. Knowl. Data Eng. 33(11): 3568-3581 (2021) - 2019
- [j8]Pengyi Yang, John T. Ormerod, Wei Liu, Chendong Ma, Albert Y. Zomaya, Jean Yee Hwa Yang:
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications. IEEE Trans. Cybern. 49(5): 1932-1943 (2019) - [j7]Ali Braytee, Wei Liu, Ali Anaissi, Paul J. Kennedy:
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance. ACM Trans. Intell. Syst. Technol. 10(5): 56:1-56:26 (2019) - [j6]Aneesh Sreevallabh Chivukula, Wei Liu:
Adversarial Deep Learning Models with Multiple Adversaries. IEEE Trans. Knowl. Data Eng. 31(6): 1066-1079 (2019) - 2018
- [j5]Zhizhou Yin, Fei Wang, Wei Liu, Sanjay Chawla:
Sparse Feature Attacks in Adversarial Learning. IEEE Trans. Knowl. Data Eng. 30(6): 1164-1177 (2018) - 2017
- [j4]Hoang Nguyen, Wei Liu, Fang Chen:
Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data. IEEE Trans. Big Data 3(2): 169-180 (2017) - [j3]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. Trans. Large Scale Data Knowl. Centered Syst. 32: 47-68 (2017) - 2013
- [j2]Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng:
On detection of emerging anomalous traffic patterns using GPS data. Data Knowl. Eng. 87: 357-373 (2013) - 2010
- [j1]Wei Liu, Sanjay Chawla:
Mining adversarial patterns via regularized loss minimization. Mach. Learn. 81(1): 69-83 (2010)
Conference and Workshop Papers
- 2024
- [c81]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:
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) 2024: 714-729 - 2023
- [c80]Kamaladdin Fataliyev, Wei Liu:
MStoCast: Multimodal Deep Network for Stock Market Forecast. AusDM 2023: 121-136 - [c79]Xinghao Yang, Weifeng Liu, Wei Liu:
Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). ICDE 2023: 3835-3836 - [c78]Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng:
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM 2023: 1367-1372 - [c77]Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey:
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD 2023: 5853-5854 - [c76]Xiaolin Pang, Kexin Xie, Yuxi Zhang, Max Fleming, Damian Chen Xu, Wei Liu:
Adversarial Active Learning with Guided BERT Feature Encoding. PAKDD (2) 2023: 508-520 - 2022
- [c75]Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang:
Deep Learning for Search and Recommendation. CIKM 2022: 5171-5172 - [c74]Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy, Musen Wen:
Applied Machine Learning Methods for Time Series Forecasting. CIKM 2022: 5175-5176 - [c73]Tao Zheng, Sunny Verma, Wei Liu:
Interpretable Binaural Ratio for Visually Guided Binaural Audio Generation. IJCNN 2022: 1-8 - [c72]Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen Guo:
Deep Search Relevance Ranking in Practice. KDD 2022: 4810-4811 - [c71]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie:
AdKDD 2022. KDD 2022: 4852-4853 - 2021
- [c70]Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI 2021: 706-714 - [c69]Chang-Wei Sung, Xinghao Yang, Chung-Shou Liao, Wei Liu:
IntRoute: An Integer Programming Based Approach for Best Bus Route Discovery. DASFAA (3) 2021: 604-607 - [c68]Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu:
BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. IJCAI 2021: 3293-3299 - [c67]Lei Hu, Shaoli Huang, Shilei Wang, Wei Liu, Jifeng Ning:
Do We Really Need Frame-by-Frame Annotation Datasets for Object Tracking? ACM Multimedia 2021: 4949-4957 - [c66]Ali Braytee, Wei Liu:
Learning Discriminative Features Using Multi-label Dual Space. PAKDD (3) 2021: 233-245 - [c65]Lianbo Zhang, Shaoli Huang, Wei Liu:
Intra-class Part Swapping for Fine-Grained Image Classification. WACV 2021: 3208-3217 - 2020
- [c64]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi:
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI 2020: 4020-4027 - [c63]Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu:
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. ICDM 2020: 561-570 - [c62]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong:
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI 2020: 1310-1316 - [c61]Xinghao Yang, Wei Liu:
Population Location and Movement Estimation through Cross-domain Data Analysis. IJCAI 2020: 5192-5193 - 2019
- [c60]Lile Li, Quan Do, Wei Liu:
Cross-Domain Recommendation via Coupled Factorization Machines. AAAI 2019: 9965-9966 - [c59]Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao:
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization. ICCV 2019: 8330-8339 - [c58]Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu:
Adversarial Deep Learning with Stackelberg Games. ICONIP (4) 2019: 3-12 - [c57]Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis. IJCAI 2019: 3627-3634 - [c56]Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
A Compliance Checking Framework for DNN Models. IJCAI 2019: 6470-6471 - [c55]Quan Do, Sunny Verma, Fang Chen, Wei Liu:
Multiple Knowledge Transfer for Cross-Domain Recommendation. PRICAI (3) 2019: 529-542 - [c54]Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
Towards Effective Data Augmentations via Unbiased GAN Utilization. PRICAI (3) 2019: 555-567 - 2018
- [c53]Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI 2018: 2532-2539 - [c52]Lile Li, Wei Liu:
Link Prediction via Factorization Machines. Australasian Conference on Artificial Intelligence 2018: 681-691 - [c51]Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu:
Discovering Granger-Causal Features from Deep Learning Networks. Australasian Conference on Artificial Intelligence 2018: 692-705 - [c50]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch:
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM 2018: 1243-1252 - [c49]Sunny Verma, Wei Liu, Chen Wang, Liming Zhu:
Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images. ICONIP (1) 2018: 46-58 - 2017
- [c48]Sunny Verma, Wei Liu, Chen Wang, Liming Zhu:
Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization. AAAI 2017: 4995-4996 - [c47]Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy:
Multi-Label Feature Selection using Correlation Information. CIKM 2017: 1649-1656 - [c46]Pengyi Yang, Wei Liu, Jean Yee Hwa Yang:
Positive unlabeled learning via wrapper-based adaptive sampling. IJCAI 2017: 3273-3279 - [c45]Aneesh Sreevallabh Chivukula, Wei Liu:
Adversarial learning games with deep learning models. IJCNN 2017: 2758-2767 - [c44]Ali Braytee, Wei Liu, Paul J. Kennedy:
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. IJCNN 2017: 4512-4519 - [c43]Quan Do, Wei Liu, Fang Chen:
Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation. PAKDD (2) 2017: 618-630 - 2016
- [c42]Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie:
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data. CIKM 2016: 1813-1822 - [c41]Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu:
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. CIKM 2016: 2405-2408 - [c40]Ali Braytee, Wei Liu, Paul J. Kennedy:
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data. ICONIP (3) 2016: 78-86 - [c39]Wei Liu:
Factorization of Multiple Tensors for Supervised Feature Extraction. ICONIP (3) 2016: 406-414 - [c38]Quan Do, Wei Liu:
ASTEN: An accurate and scalable approach to Coupled Tensor Factorization. IJCNN 2016: 99-106 - [c37]Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy:
Training deep neural networks on imbalanced data sets. IJCNN 2016: 4368-4374 - [c36]Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen:
TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media. PAKDD (1) 2016: 540-551 - [c35]Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao:
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) 2016: 162-178 - [c34]Quan Do, Thanh Pham, Wei Liu, Kotagiri Ramamohanarao:
WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data. WISE (1) 2016: 537-552 - 2015
- [c33]Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long:
Coupled Collaborative Filtering for Context-aware Recommendation. AAAI 2015: 4172-4173 - [c32]Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao:
Actionable Combined High Utility Itemset Mining. AAAI 2015: 4206-4207 - [c31]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. Australasian Conference on Artificial Intelligence 2015: 365-378 - [c30]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK 2015: 108-120 - [c29]Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao:
Document similarity analysis via involving both explicit and implicit semantic couplings. DSAA 2015: 1-10 - [c28]Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao:
Mining actionable combined patterns of high utility and frequency. DSAA 2015: 1-10 - [c27]Ling Luo, Irena Koprinska, Wei Liu:
Discrimination-Aware Classifiers for Student Performance Prediction. EDM 2015: 384-387 - [c26]Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie:
On Damage Identification in Civil Structures Using Tensor Analysis. PAKDD (1) 2015: 459-471 - 2014
- [c25]Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen, Chang-Shing Perng:
Traffic Analysis as a Service via a Unified Model. IEEE SCC 2014: 195-202 - [c24]Wei Liu, Dong Lee, Rao Kotagiri:
Using Local Information to Significantly Improve Classification Performance. CIKM 2014: 1947-1950 - [c23]Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen:
Causal Structure Discovery for Spatio-temporal Data. DASFAA (1) 2014: 236-250 - [c22]Fei Wang, Wei Liu, Sanjay Chawla:
On Sparse Feature Attacks in Adversarial Learning. ICDM 2014: 1013-1018 - [c21]Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) 2014: 362-373 - 2013
- [c20]Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM 2013: 811-816 - [c19]Goce Ristanoski, Wei Liu, James Bailey:
Discrimination aware classification for imbalanced datasets. CIKM 2013: 1529-1532 - [c18]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE 2013 - [c17]Fei Wang, Sanjay Chawla, Wei Liu:
Tikhonov or Lasso Regularization: Which Is Better and When. ICTAI 2013: 795-802 - [c16]Goce Ristanoski, Wei Liu, James Bailey:
A time-dependent enhanced support vector machine for time series regression. KDD 2013: 946-954 - [c15]Goce Ristanoski, Wei Liu, James Bailey:
Time Series Forecasting Using Distribution Enhanced Linear Regression. PAKDD (1) 2013: 484-495 - [c14]Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya:
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning. PAKDD (1) 2013: 544-555 - [c13]Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao:
A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) 2013: 483-498 - [c12]James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu:
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. SDM 2013: 614-622 - 2012
- [c11]Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries. Australasian Conference on Artificial Intelligence 2012: 649-660 - [c10]Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. CIKM 2012: 435-444 - [c9]Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao:
On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322 - [c8]Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. KDD 2012: 651-659 - 2011
- [c7]Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng:
On Mining Anomalous Patterns in Road Traffic Streams. ADMA (2) 2011: 237-251 - [c6]Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie:
Discovering spatio-temporal causal interactions in traffic data streams. KDD 2011: 1010-1018 - [c5]Wei Liu, Sanjay Chawla:
Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets. PAKDD (2) 2011: 345-356 - [c4]Wei Liu, Sanjay Chawla:
A Quadratic Mean based Supervised Learning Model for Managing Data Skewness. SDM 2011: 188-198 - 2010
- [c3]Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla:
A Robust Decision Tree Algorithm for Imbalanced Data Sets. SDM 2010: 766-777 - 2009
- [c2]Wei Liu, Sanjay Chawla:
A Game Theoretical Model for Adversarial Learning. ICDM Workshops 2009: 25-30 - 2008
- [c1]Elizabeth Wu, Wei Liu, Sanjay Chawla:
Spatio-temporal Outlier Detection in Precipitation Data. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 115-133
Editorship
- 2023
- [e2]Wei Liu, Linsey Pang:
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. CEUR Workshop Proceedings 3375, CEUR-WS.org 2023 [contents] - [e1]Wei Liu, Linsey Pang:
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. CEUR Workshop Proceedings 3317, CEUR-WS.org 2023 [contents]
Informal and Other Publications
- 2024
- [i11]Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu:
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization. CoRR abs/2402.11940 (2024) - [i10]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:
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR abs/2403.16443 (2024) - [i9]Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong:
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning. CoRR abs/2406.09710 (2024) - 2021
- [i8]Ali Braytee, Wei Liu:
Learning Discriminative Features using Multi-label Dual Space. CoRR abs/2102.13234 (2021) - [i7]Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao:
Structure-Aware Feature Generation for Zero-Shot Learning. CoRR abs/2108.07032 (2021) - [i6]Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. CoRR abs/2108.10015 (2021) - 2020
- [i5]Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey:
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields. CoRR abs/2008.02467 (2020) - [i4]Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao:
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. CoRR abs/2010.04331 (2020) - [i3]Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion. CoRR abs/2010.06096 (2020) - [i2]Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu:
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. CoRR abs/2010.08218 (2020) - 2019
- [i1]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi:
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR abs/1912.03440 (2019)
Coauthor Index
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