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ORCIDJindong Wang 0001
Person information
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation (former): Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- affiliation (former): Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
- affiliation (former): University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Jindong Wang (aka: Jin-dong Wang) — disambiguation page
- Jindong Wang 0002
![[0000-0002-7641-9014]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7641-9014")
— Zhengzhou Institute of Information Science and Technology, Zhengzhou, China - Jindong Wang 0003 — Southwest Jiaotong University, China
- Jindong Wang 0004 — Northeastern University, Shenyang, Liaoning, China
- Jindong Wang 0005 — Shandong Computer Science Center, Jinan, Shandong, China
- Jindong Wang 0006 — Tianjin University, Tianjin, China
- Jindong Wang 0007 — PLA Information Engineering University, Zhengzhou, China
- Jindong Wang 0008 — Xi'an Jiaotong University, Xi'an, China
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2020 – today
- 2023
[j20]Wang Lu, Xixu Hu, Jindong Wang, Xing Xie:
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. IEEE Data Eng. Bull. 46(1): 52-66 (2023)- [j19]Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang:
Domain Generalization for Activity Recognition via Adaptive Feature Fusion. ACM Trans. Intell. Syst. Technol. 14(1): 9:1-9:21 (2023) - [j18]Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan:
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals. IEEE Trans. Knowl. Data Eng. 35(2): 2118-2132 (2023) - [j17]Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang:
Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. 35(7): 7178-7191 (2023) - [j16]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Trans. Knowl. Data Eng. 35(8): 8052-8072 (2023) - [c38]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. ACL (Findings) 2023: 12731-12750 - [c37]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. ICLR 2023 - [c36]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie:
Out-of-distribution Representation Learning for Time Series Classification. ICLR 2023 - [c35]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. ICLR 2023 - [c34]Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen:
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. KDD 2023: 1943-1953 - [c33]Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421 - [c32]Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie:
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. KDD 2023: 5827-5828 - [c31]Wang Lu, Jindong Wang, Yidong Wang, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CDPD 2023: 75-97 - [c30]Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie:
A Tutorial on Domain Generalization. WSDM 2023: 1236-1239 - [i58]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. CoRR abs/2301.10921 (2023) - [i57]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR abs/2302.12095 (2023) - [i56]Wang Lu, Xixu Hu, Jindong Wang, Xing Xie:
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. CoRR abs/2302.13485 (2023) - [i55]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. CoRR abs/2304.01457 (2023) - [i54]Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. CoRR abs/2305.12715 (2023) - [i53]Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang:
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. CoRR abs/2305.14104 (2023) - [i52]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie:
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR abs/2306.04528 (2023) - [i51]Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen:
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. CoRR abs/2306.04641 (2023) - [i50]Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR abs/2306.05087 (2023) - [i49]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i48]Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie:
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. CoRR abs/2307.11760 (2023) - [i47]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie:
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization. CoRR abs/2308.02282 (2023) - [i46]Juncheng Wang, Jindong Wang, Xixu Hu, Shujun Wang, Xing Xie:
Frustratingly Easy Model Generalization by Dummy Risk Minimization. CoRR abs/2308.02287 (2023) - [i45]Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie:
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models. CoRR abs/2308.12014 (2023) - 2022
- [j15]Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin:
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 65:1-65:19 (2022) - [j14]Renjun Xu, Shuoying Liang, Lanyu Wen, Zhitong Guo, Xinyue Huang, Mingli Song, Jindong Wang, Xiaoxiao Xu, Huajun Chen:
Hierarchical knowledge amalgamation with dual discriminative feature alignment. Inf. Sci. 613: 556-574 (2022) - [j13]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 317-329 (2022) - [j12]Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie:
Domain-invariant Feature Exploration for Domain Generalization. Trans. Mach. Learn. Res. 2022 (2022) - [c29]Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki:
Margin Calibration for Long-Tailed Visual Recognition. ACML 2022: 1101-1116 - [c28]Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang:
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. COLING 2022: 7075-7085 - [c27]Wang Lu, Jindong Wang, Yiqiang Chen:
Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition. ICASSP 2022: 3833-3837 - [c26]Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. ICSE 2022: 1856-1868 - [c25]Han Zhu, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan:
Decoupled Federated Learning for ASR with Non-IID Data. INTERSPEECH 2022: 2628-2632 - [c24]Han Zhu, Li Wang, Gaofeng Cheng, Jindong Wang, Pengyuan Zhang, Yonghong Yan:
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR. INTERSPEECH 2022: 4870-4874 - [c23]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [c22]Xiaohai Li, Weiwei Dai, Yiqiang Chen, Jindong Wang:
DOPNet: Dynamic Optimized Pruning Net for Model Compression. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 360-367 - [i44]Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection. CoRR abs/2201.00464 (2022) - [i43]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He:
Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR abs/2201.01002 (2022) - [i42]Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin:
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition. CoRR abs/2206.06629 (2022) - [i41]Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie:
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare. CoRR abs/2206.08516 (2022) - [i40]Han Zhu, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan:
Decoupled Federated Learning for ASR with Non-IID Data. CoRR abs/2206.09102 (2022) - [i39]Han Zhu, Gaofeng Cheng, Jindong Wang, Wenxin Hou, Pengyuan Zhang, Yonghong Yan:
Boosting Cross-Domain Speech Recognition with Self-Supervision. CoRR abs/2206.09783 (2022) - [i38]Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang:
Memory-Guided Multi-View Multi-Domain Fake News Detection. CoRR abs/2206.12808 (2022) - [i37]Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang:
Domain Generalization for Activity Recognition via Adaptive Feature Fusion. CoRR abs/2207.11221 (2022) - [i36]Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie:
Domain-invariant Feature Exploration for Domain Generalization. CoRR abs/2207.12020 (2022) - [i35]Yivan Zhang, Jindong Wang, Xing Xie, Masashi Sugiyama:
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. CoRR abs/2208.02011 (2022) - [i34]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i33]Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides:
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CoRR abs/2208.07463 (2022) - [i32]Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang:
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. CoRR abs/2208.08280 (2022) - [i31]Yi-Fan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization. CoRR abs/2208.08661 (2022) - [i30]Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CoRR abs/2209.00652 (2022) - [i29]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie:
Out-of-Distribution Representation Learning for Time Series Classification. CoRR abs/2209.07027 (2022) - [i28]Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie:
FIXED: Frustratingly Easy Domain Generalization with Mixup. CoRR abs/2211.05228 (2022) - [i27]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR abs/2211.08073 (2022) - [i26]Hao Chen, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Marios Savvides, Bhiksha Raj:
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning. CoRR abs/2211.11086 (2022) - 2021
- [j11]Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin:
Cross-domain activity recognition via substructural optimal transport. Neurocomputing 454: 65-75 (2021) - [j10]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1713-1722 (2021) - [c21]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM 2021: 402-411 - [c20]Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu:
MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition. ICASSP 2021: 7008-7012 - [c19]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IJCAI 2021: 4627-4635 - [c18]Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki:
Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching. Interspeech 2021: 3425-3429 - [c17]Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. NeurIPS 2021: 6155-6170 - [c16]Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki:
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling. NeurIPS 2021: 18408-18419 - [i25]Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin:
Cross-domain Activity Recognition via Substructural Optimal Transport. CoRR abs/2102.03353 (2021) - [i24]Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu:
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition. CoRR abs/2102.12664 (2021) - [i23]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. CoRR abs/2103.03097 (2021) - [i22]Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu:
Learning Invariant Representations across Domains and Tasks. CoRR abs/2103.05114 (2021) - [i21]Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki:
Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching. CoRR abs/2104.07491 (2021) - [i20]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition. CoRR abs/2105.11905 (2021) - [i19]Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin:
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare. CoRR abs/2106.01009 (2021) - [i18]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. CoRR abs/2106.09388 (2021) - [i17]Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan:
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals. CoRR abs/2107.12626 (2021) - [i16]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR abs/2108.04443 (2021) - [i15]Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki:
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling. CoRR abs/2110.08263 (2021) - [i14]Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin:
Federated Learning with Adaptive Batchnorm for Personalized Healthcare. CoRR abs/2112.00734 (2021) - [i13]Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki:
Margin Calibration for Long-Tailed Visual Recognition. CoRR abs/2112.07225 (2021) - 2020
- [j9]Yiqiang Chen, Xin Qin, Jindong Wang, Chaohui Yu, Wen Gao:
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. IEEE Intell. Syst. 35(4): 83-93 (2020) - [j8]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. ACM Trans. Intell. Syst. Technol. 11(1): 6:1-6:25 (2020) - [c15]Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang:
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. CVPR 2020: 4393-4402 - [c14]Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin:
Joint Partial Optimal Transport for Open Set Domain Adaptation. IJCAI 2020: 2540-2546 - [i12]Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu:
Learning to Match Distributions for Domain Adaptation. CoRR abs/2007.10791 (2020) - [i11]Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. CoRR abs/2011.01681 (2020)
2010 – 2019
- 2019
- [j7]Xin Qin, Yiqiang Chen, Jindong Wang, Chaohui Yu:
Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 148:1-148:25 (2019) - [j6]Chaohui Yu, Jindong Wang, Yiqiang Chen, Xin Qin:
Transfer channel pruning for compressing deep domain adaptation models. Int. J. Mach. Learn. Cybern. 10(11): 3129-3144 (2019) - [j5]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He:
Multi-representation adaptation network for cross-domain image classification. Neural Networks 119: 214-221 (2019) - [j4]Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu:
Cross-position activity recognition with stratified transfer learning. Pervasive Mob. Comput. 57: 1-13 (2019) - [j3]Jindong Wang, Yiqiang Chen, Shuji Hao, Xiaohui Peng, Lisha Hu:
Deep learning for sensor-based activity recognition: A survey. Pattern Recognit. Lett. 119: 3-11 (2019) - [c13]Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang:
Transfer Learning with Dynamic Adversarial Adaptation Network. ICDM 2019: 778-786 - [c12]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-Domain Structures. ICME 2019: 1210-1215 - [c11]Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu:
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. IJCNN 2019: 1-8 - [c10]Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu:
Transfer Channel Pruning for Compressing Deep Domain Adaptation Models. PAKDD (Workshops) 2019: 257-273 - [c9]Chaohui Yu, Xin Qin, Yiqiang Chen, Jindong Wang, Chenchen Fan:
DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 425-432 - [i10]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-domain Structures. CoRR abs/1904.01376 (2019) - [i9]Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu:
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. CoRR abs/1904.02654 (2019) - [i8]Yiqiang Chen, Jindong Wang, Chaohui Yu, Wen Gao, Xin Qin:
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. CoRR abs/1907.09173 (2019) - [i7]Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang:
Transfer Learning with Dynamic Adversarial Adaptation Network. CoRR abs/1909.08184 (2019) - [i6]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. CoRR abs/1909.08531 (2019) - 2018
- [j2]Lisha Hu, Yiqiang Chen, Jindong Wang, Chunyu Hu, Xinlong Jiang:
OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition. Int. J. Mach. Learn. Cybern. 9(9): 1577-1590 (2018) - [c8]Jindong Wang, Vincent W. Zheng, Yiqiang Chen, Meiyu Huang:
Deep Transfer Learning for Cross-domain Activity Recognition. ICCSE 2018: 16:1-16:8 - [c7]Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu:
Visual Domain Adaptation with Manifold Embedded Distribution Alignment. ACM Multimedia 2018: 402-410 - [c6]Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu:
Stratified Transfer Learning for Cross-domain Activity Recognition. PerCom 2018: 1-10 - [i5]Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu:
Stratified Transfer Learning for Cross-domain Activity Recognition. CoRR abs/1801.00820 (2018) - [i4]Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu:
Cross-position Activity Recognition with Stratified Transfer Learning. CoRR abs/1806.09776 (2018) - [i3]Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen:
Balanced Distribution Adaptation for Transfer Learning. CoRR abs/1807.00516 (2018) - [i2]Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu:
Visual Domain Adaptation with Manifold Embedded Distribution Alignment. CoRR abs/1807.07258 (2018) - 2017
- [j1]Faizan Ahmad, Yiqiang Chen, Lisha Hu, Shuangquan Wang, Jindong Wang, Zhenyu Chen, Xinlong Jiang, Jianfei Shen:
BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection. J. Exp. Theor. Artif. Intell. 29(6): 1311-1323 (2017) - [c5]Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen:
Balanced Distribution Adaptation for Transfer Learning. ICDM 2017: 1129-1134 - [c4]Xiaohai Li, Yiqiang Chen, Zhongdong Wu, Xiaohui Peng, Jindong Wang, Lisha Hu, Diancun Yu:
Weak multipath effect identification for indoor distance estimation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - [i1]Jindong Wang, Yiqiang Chen, Shuji Hao, Xiaohui Peng, Lisha Hu:
Deep Learning for Sensor-based Activity Recognition: A Survey. CoRR abs/1707.03502 (2017) - 2016
- [c3]Yiqiang Chen, Yang Gu, Xinlong Jiang, Jindong Wang:
OCEAN: a new opportunistic computing model for wearable activity recognition. UbiComp Adjunct 2016: 33-36 - [c2]Faizan Ahmad, Yiqiang Chen, Shuangquan Wang, Zhenyu Chen, Jianfei Shen, Lisha Hu, Jindong Wang:
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