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ORCIDJianmin Wang 0001
Jian-min Wang 0001
Person information
- affiliation: Tsinghua University, School of Software, Beijing, China
Other persons with the same name
- Jianmin Wang (aka: Jian-Min Wang) — disambiguation page
- Jianmin Wang 0003 — Suzhou University, Department of Mathematics, China
- Jianmin Wang 0004 — Harbin University of Science and Technology, China
- Jianmin Wang 0005 — Shandong University, China
- Jianmin Wang 0006 — Zhongsang University, Guangzhou, China
- Jianmin Wang 0007 — Hunan University of Commerce, Changsha, China
- Jianmin Wang 0008 — Iowa State University, Ames, Iowa, USA
- Jianmin Wang 0009 — Xiamen University, China
- Jianmin Wang 0010
![[0000-0001-6739-9499]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6739-9499")
— Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, China - Jianmin Wang 0011 — National Formosa University, Department of Vehicle Engineering, Yunlin, Taiwan
- Jianmin Wang 0012 — Hefei University of Technology, Hefei, China
- Jianmin Wang 0013 (aka: Jian-Min Wang 0013) — Tongji University, Car Interaction Design Lab, College of Arts and Media, Shanghai, China (and 1 more)
- Jianmin Wang 0014 — Roswell Park Cancer Institute, Buffalo, NY, USA
- Jianmin Wang 0015 — Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China
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2020 – today
- 2023
[j89]Rubia Fatima, Affan Yasin, Lin Liu, Jianmin Wang, Wasif Afzal:
Retrieving arXiv, SocArXiv, and SSRN metadata for initial review screening. Inf. Softw. Technol. 161: 107251 (2023)- [j88]Yuchen Zhang, Mingsheng Long, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin, Michael I. Jordan, Jianmin Wang:
Skilful nowcasting of extreme precipitation with NowcastNet. Nat. 619(7970): 526-532 (2023) - [j87]Chenguang Fang, Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang:
Grouping Time Series for Efficient Columnar Storage. Proc. ACM Manag. Data 1(1): 23:1-23:26 (2023) - [j86]Chen Wang, Jialin Qiao, Xiangdong Huang, Shaoxu Song, Haonan Hou, Tian Jiang, Lei Rui, Jianmin Wang, Jiaguang Sun:
Apache IoTDB: A Time Series Database for IoT Applications. Proc. ACM Manag. Data 1(2): 195:1-195:27 (2023) - [j85]Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
From Big to Small: Adaptive Learning to Partial-Set Domains. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1766-1780 (2023) - [j84]Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2208-2225 (2023) - [j83]Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long:
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13281-13296 (2023) - [j82]Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15275-15291 (2023) - [j81]Yuanhui Qiu, Chenguang Fang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang:
TsQuality: Measuring Time Series Data Quality in Apache IoTDB. Proc. VLDB Endow. 16(12): 3982-3985 (2023) - [j80]Ruihong Huang, Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei:
Efficiently Cleaning Structured Event Logs: A Graph Repair Approach. ACM Trans. Database Syst. 48(1): 3:1-3:44 (2023) - [j79]Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang:
Towards Natural Language Interfaces for Data Visualization: A Survey. IEEE Trans. Vis. Comput. Graph. 29(6): 3121-3144 (2023) - [c266]Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Ruibo Li, Jincheng Sun:
Non-Blocking Raft for High Throughput IoT Data. ICDE 2023: 1140-1152 - [c265]Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long:
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. ICLR 2023 - [c264]Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long:
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms. ICML 2023: 12108-12121 - [c263]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. ICML 2023: 31716-31731 - [i77]Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long:
Solving High-Dimensional PDEs with Latent Spectral Models. CoRR abs/2301.12664 (2023) - [i76]Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long:
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. CoRR abs/2302.00861 (2023) - [i75]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR abs/2302.00864 (2023) - [i74]Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long:
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors. CoRR abs/2305.18803 (2023) - 2022
- [j78]Leixian Shen, Enya Shen, Zhiwei Tai, Yihao Xu, Jiaxiang Dong, Jianmin Wang:
Visual Data Analysis with Task-Based Recommendations. Data Sci. Eng. 7(4): 354-369 (2022) - [j77]Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long:
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs. J. Mach. Learn. Res. 23: 209:1-209:47 (2022) - [j76]Zhiyu Yao, Yunbo Wang, Jianmin Wang, Philip S. Yu, Mingsheng Long:
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7989-8004 (2022) - [j75]Shuye Pan, Peng Wang, Chen Wang, Wei Wang, Jianmin Wang:
NLC: Search Correlated Window Pairs on Long Time Series. Proc. VLDB Endow. 15(7): 1363-1375 (2022) - [j74]Jinzhao Xiao, Yuxiang Huang, Changyu Hu, Shaoxu Song, Xiangdong Huang, Jianmin Wang:
Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB. Proc. VLDB Endow. 15(10): 2148-2160 (2022) - [j73]Affan Yasin, Rubia Fatima, Lin Liu, Javed Ali Khan, Raian Ali, Jianmin Wang:
On the utilization of non-quality assessed literature in software engineering research. J. Softw. Evol. Process. 34(7) (2022) - [c262]Leixian Shen, Enya Shen, Zhiwei Tai, Yun Wang, Yuyu Luo, Jianmin Wang:
GALVIS: Visualization Construction through Example-Powered Declarative Programming. CIKM 2022: 4975-4979 - [c261]Yanzhe An, Yue Su, Yuqing Zhu, Jianmin Wang:
TVStore: Automatically Bounding Time Series Storage via Time-Varying Compression. FAST 2022: 83-100 - [c260]Jing Zhao, Peng Wang, Bo Tang, Lu Liu, Chen Wang, Wei Wang, Jianmin Wang:
Constructing Compact Time Series Index for Efficient Window Query Processing. ICDE 2022: 3025-3037 - [c259]Yuyuan Kang, Xiangdong Huang, Shaoxu Song, Lingzhe Zhang, Jialin Qiao, Chen Wang, Jianmin Wang, Julian Feinauer:
Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree. ICDE 2022: 3340-3352 - [c258]Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long:
Decoupled Adaptation for Cross-Domain Object Detection. ICLR 2022 - [c257]Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long:
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. ICLR 2022 - [c256]Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long:
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. ICLR 2022 - [c255]Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Flowformer: Linearizing Transformers with Conservation Flows. ICML 2022: 24226-24242 - [c254]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS 2022 - [c253]Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long:
Debiased Self-Training for Semi-Supervised Learning. NeurIPS 2022 - [c252]Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long:
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting. NeurIPS 2022 - [c251]Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. NeurIPS 2022 - [c250]Rubia Fatima, Affan Yasin, Lin Liu, Jianmin Wang:
What Should Abeeha do? an Activity for Phishing Awareness. QRS Companion 2022: 756-757 - [c249]Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang:
Requirements Engineering for Machine Learning: A Review and Reflection. RE Workshops 2022: 166-175 - [c248]Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109 - [i73]Junguang Jiang, Yang Shu, Jianmin Wang, Mingsheng Long:
Transferability in Deep Learning: A Survey. CoRR abs/2201.05867 (2022) - [i72]Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR abs/2201.07099 (2022) - [i71]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. CoRR abs/2202.06239 (2022) - [i70]Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Flowformer: Linearizing Transformers with Conservation Flows. CoRR abs/2202.06258 (2022) - [i69]Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long:
Debiased Pseudo Labeling in Self-Training. CoRR abs/2202.07136 (2022) - [i68]Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
From Big to Small: Adaptive Learning to Partial-Set Domains. CoRR abs/2203.07375 (2022) - [i67]Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long:
MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CoRR abs/2204.07311 (2022) - [i66]Leixian Shen, Enya Shen, Zhiwei Tai, Yihao Xu, Jianmin Wang:
Visual Data Analysis with Task-based Recommendations. CoRR abs/2205.03183 (2022) - [i65]Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long:
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting. CoRR abs/2205.14415 (2022) - [i64]Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. CoRR abs/2206.03726 (2022) - [i63]Zhiwei Tai, Leixian Shen, Enya Shen, Jianmin Wang:
Graph Exploration with Embedding-Guided Layouts. CoRR abs/2208.13699 (2022) - [i62]Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang:
Requirements Engineering for Machine Learning: A Review and Reflection. CoRR abs/2210.00859 (2022) - [i61]Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long:
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. CoRR abs/2210.02186 (2022) - 2021
- [j72]Fei Gao, Shaoxu Song, Jianmin Wang:
Time Series Data Cleaning under Multi-Speed Constraints. Int. J. Softw. Informatics 11(1): 29-54 (2021) - [j71]Zhicheng Liu, Yang Zhang, Ruihong Huang, Zhiwei Chen, Shaoxu Song, Jianmin Wang:
EXPERIENCE: Algorithms and Case Study for Explaining Repairs with Uniform Profiles over IoT Data. ACM J. Data Inf. Qual. 13(3): 18:1-18:17 (2021) - [j70]Affan Yasin, Rubia Fatima, Lin Liu, Jianmin Wang, Raian Ali, Ziqi Wei:
Understanding and deciphering of social engineering attack scenarios. Secur. Priv. 4(4) (2021) - [j69]Shaoxu Song, Fei Gao, Aoqian Zhang, Jianmin Wang, Philip S. Yu:
Stream Data Cleaning under Speed and Acceleration Constraints. ACM Trans. Database Syst. 46(3): 10:1-10:44 (2021) - [j68]Jisheng Pei, Lijie Wen, Hedong Yang, Jianmin Wang, Xiaojun Ye:
Estimating Global Completeness of Event Logs: A Comparative Study. IEEE Trans. Serv. Comput. 14(2): 441-457 (2021) - [j67]Shaoxu Song, Ruihong Huang, Yue Cao, Jianmin Wang:
Cleaning timestamps with temporal constraints. VLDB J. 30(3): 425-446 (2021) - [c247]Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long:
Regressive Domain Adaptation for Unsupervised Keypoint Detection. CVPR 2021: 6780-6789 - [c246]Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Transferable Query Selection for Active Domain Adaptation. CVPR 2021: 7272-7281 - [c245]Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long:
MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CVPR 2021: 8863-8872 - [c244]Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long:
Open Domain Generalization with Domain-Augmented Meta-Learning. CVPR 2021: 9624-9633 - [c243]Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long:
MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions. CVPR 2021: 15435-15444 - [c242]Li Lin, Zan Zong, Lijie Wen, Chen Qian, Shuang Li, Jianmin Wang:
MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses. DASFAA (1) 2021: 509-525 - [c241]Yi Lu, Peng Wang, Bo Tang, Shen Liang, Chen Wang, Wei Wang, Jianmin Wang:
GRAB: Finding Time Series Natural Structures via A Novel Graph-based Scheme. ICDE 2021: 2267-2272 - [c240]Zhanqiang Cao, Lin Liu, Jianmin Wang:
Intelligent Health Information Services Requirements Revisited from an Actor's Perspective. ICDH 2021: 244-253 - [c239]Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long:
Representation Subspace Distance for Domain Adaptation Regression. ICML 2021: 1749-1759 - [c238]Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Zoo-Tuning: Adaptive Transfer from A Zoo of Models. ICML 2021: 9626-9637 - [c237]Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang:
Self-Tuning for Data-Efficient Deep Learning. ICML 2021: 10738-10748 - [c236]Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long:
LogME: Practical Assessment of Pre-trained Models for Transfer Learning. ICML 2021: 12133-12143 - [c235]Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. NeurIPS 2021: 22419-22430 - [c234]Hong Liu, Jianmin Wang, Mingsheng Long:
Cycle Self-Training for Domain Adaptation. NeurIPS 2021: 22968-22981 - [c233]Shaoxu Song, Ruihong Huang, Yu Gao, Jianmin Wang:
Why Not Match: On Explanations of Event Pattern Queries. SIGMOD Conference 2021: 1705-1717 - [c232]Yuqing Zhu, Yanzhe An, Yuan Zi, Yu Feng, Jianmin Wang:
IoTDataBench: Extending TPCx-IoT for Compression and Scalability. TPCTC 2021: 17-32 - [c231]Leixian Shen, Enya Shen, Zhiwei Tai, Yiran Song, Jianmin Wang:
TaskVis: Task-oriented Visualization Recommendation. EuroVis (Short Papers) 2021: 91-95 - [i60]Kaichao You, Yong Liu, Mingsheng Long, Jianmin Wang:
LogME: Practical Assessment of Pre-trained Models for Transfer Learning. CoRR abs/2102.11005 (2021) - [i59]Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long:
Self-Tuning for Data-Efficient Deep Learning. CoRR abs/2102.12903 (2021) - [i58]Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wang:
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions. CoRR abs/2103.02243 (2021) - [i57]Hong Liu, Jianmin Wang, Mingsheng Long:
Cycle Self-Training for Domain Adaptation. CoRR abs/2103.03571 (2021) - [i56]Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long:
Regressive Domain Adaptation for Unsupervised Keypoint Detection. CoRR abs/2103.06175 (2021) - [i55]Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. CoRR abs/2103.09504 (2021) - [i54]Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long:
Open Domain Generalization with Domain-Augmented Meta-Learning. CoRR abs/2104.03620 (2021) - [i53]Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. CoRR abs/2106.13008 (2021) - [i52]Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Zoo-Tuning: Adaptive Transfer from a Zoo of Models. CoRR abs/2106.15434 (2021) - [i51]Yuqing Zhu, Yanzhe An, Yuan Zi, Yu Feng, Jianmin Wang:
IoTDataBench: Extending TPCx-IoT for Compression and Scalability. CoRR abs/2107.09351 (2021) - [i50]Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang:
Towards Natural Language Interfaces for Data Visualization: A Survey. CoRR abs/2109.03506 (2021) - [i49]Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long:
Decoupled Adaptation for Cross-Domain Object Detection. CoRR abs/2110.02578 (2021) - [i48]Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long:
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. CoRR abs/2110.02642 (2021) - [i47]Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long:
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. CoRR abs/2110.03882 (2021) - [i46]Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long:
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. CoRR abs/2110.04572 (2021) - [i45]Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long:
Omni-Training for Data-Efficient Deep Learning. CoRR abs/2110.07510 (2021) - [i44]Kaichao You, Yong Liu, Jianmin Wang, Michael I. Jordan, Mingsheng Long:
Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs. CoRR abs/2110.10545 (2021) - 2020
- [j66]Jialin Qiao, Xiangdong Huang, Jianmin Wang, Raymond K. Wong:
Dual-PISA: An index for aggregation operations on time series data. Inf. Syst. 87 (2020) - [j65]Chen Wang, Xiangdong Huang, Jialin Qiao, Tian Jiang, Lei Rui, Jinrui Zhang, Rong Kang, Julian Feinauer, Kevin Mcgrail, Peng Wang, Diaohan Luo, Jun Yuan, Jianmin Wang, Jiaguang Sun:
Apache IoTDB: Time-series database for Internet of Things. Proc. VLDB Endow. 13(12): 2901-2904 (2020) - [j64]Shaoxu Song, Yu Sun, Aoqian Zhang, Lei Chen, Jianmin Wang:
Enriching Data Imputation under Similarity Rule Constraints. IEEE Trans. Knowl. Data Eng. 32(2): 275-287 (2020) - [c230]Liang Li, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, Jianmin Wang:
Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification. AAAI 2020: 8220-8227 - [c229]Ying Jin, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Transferring Pretrained Networks to Small Data via Category Decorrelation. BMVC 2020 - [c228]Chen Qian, Lijie Wen, Akhil Kumar, Leilei Lin, Li Lin, Zan Zong, Shuang Li, Jianmin Wang:
An Approach for Process Model Extraction by Multi-grained Text Classification. CAiSE 2020: 268-282 - [c227]Rubia Fatima, Affan Yasin, Lin Liu, Jianmin Wang:
Google Scholar vs. Dblp vs. Microsoft Academic Search: An Indexing Comparison for Software Engineering Literature. COMPSAC 2020: 1097-1098 - [c226]Rubia Fatima, Affan Yasin, Lin Liu, Jianmin Wang:
The Use of Grey Literature and Google Scholar in Software Engineering Systematic Literature Reviews. COMPSAC 2020: 1099-1100 - [c225]Affan Yasin, Rubia Fatima, Lin Liu, Jianmin Wang, Raian Ali:
Understanding Social Engineers Strategies from the Perspective of Sun-Tzu Philosophy. COMPSAC 2020: 1773-1776 - [c224]Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang:
Progressive Adversarial Networks for Fine-Grained Domain Adaptation. CVPR 2020: 9210-9219 - [c223]Jialin Qiao, Yuyuan Kang, Xiangdong Huang, Lei Rui, Tian Jiang, Jianmin Wang, Philip S. Yu:
Heterogeneous Replicas for Multi-dimensional Data Management. DASFAA (1) 2020: 20-36 - [c222]Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang:
How to Generate Reasonable Texts with Controlled Attributes. DASFAA (2) 2020: 245-262 - [c221]Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang:
Minimum Class Confusion for Versatile Domain Adaptation. ECCV (21) 2020: 464-480 - [c220]Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Learning to Detect Open Classes for Universal Domain Adaptation. ECCV (15) 2020: 567-583 - [c219]Yu Sun, Shaoxu Song, Chen Wang, Jianmin Wang:
Swapping Repair for Misplaced Attribute Values. ICDE 2020: 721-732 - [c218]Ying Jin, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, Jiaguang Sun:
A Multi-Player Minimax Game for Generative Adversarial Networks. ICME 2020: 1-6 - [c217]Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, Jiaguang Sun:
Multi-Task Learning of Generalizable Representations for Video Action Recognition. ICME 2020: 1-6 - [c216]Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang:
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks. ICML 2020: 10778-10788 - [c215]