Jindong Wang

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 145

Top Venues

CoRR

ICLR

IEEE Trans. Knowl. Data Eng.

NeurIPS

Publications

Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
Slight Corruption in Pre-training Data Makes Better Diffusion Models. CoRR (2024)
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
Detoxifying Large Language Models via Knowledge Editing. ACL (1) (2024)
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. ICLR (2024)
Millicent Ochieng, Varun Gumma, Sunayana Sitaram, Jindong Wang, Vishrav Chaudhary, Keshet Ronen, Kalika Bali, Jacki O'Neill
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios. CoRR (2024)
Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar
MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms. CoRR (2024)
Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
Learning with Noisy Foundation Models. CoRR (2024)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR (2024)
Yidong Wang, Zhuohao Yu, Wenjin Yao, 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. ICLR (2024)
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
Detoxifying Large Language Models via Knowledge Editing. CoRR (2024)
Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. CoRR (2024)
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. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. SDM (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. CoRR (2024)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, 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. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang
AgentReview: Exploring Peer Review Dynamics with LLM Agents. CoRR (2024)
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. CoRR (2024)
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. ICLR (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. ACL (1) (2024)
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. CoRR (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. CoRR (2024)
Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. CoRR (2024)
Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar
MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. ACL (Findings) (2024)
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. Int. J. Comput. Vis. 132 (1) (2024)
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR (2024)
Han Zhu, Gaofeng Cheng, Jindong Wang, Wenxin Hou, Pengyuan Zhang, Yonghong Yan
Boosting Cross-Domain Speech Recognition With Self-Supervision. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
CultureLLM: Incorporating Cultural Differences into Large Language Models. CoRR (2024)
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 47 (1) (2024)
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CDPD (2023)
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)
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. IEEE Data Eng. Bull. 46 (1) (2023)
Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. ICCV (2023)
Yao Zhu, Yuefeng Chen, Wei Wang, Xiaofeng Mao, Xiu Yan, Yue Wang, Zhigang Li, Wang Lu, Jindong Wang, Xiangyang Ji
Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning. CoRR (2023)
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) (2023)
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 (2023)
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR (2023)
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) (2023)
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 (2023)
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)
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) (2023)
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR (2023)
Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie
A Tutorial on Domain Generalization. WSDM (2023)
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) (2023)
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 (2023)
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 (2023)
Juncheng Wang, Jindong Wang, Xixu Hu, Shujun Wang, Xing Xie
Frustratingly Easy Model Generalization by Dummy Risk Minimization. CoRR (2023)
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)
Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
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)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
Out-of-distribution Representation Learning for Time Series Classification. ICLR (2023)
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. NeurIPS (2023)
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 (2023)
Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie
Meta Semantic Template for Evaluation of Large Language Models. CoRR (2023)
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 (2023)
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. CoRR (2023)
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR (2023)
Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
A Survey of Heterogeneous Transfer Learning. CoRR (2023)
Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
PromptBench: A Unified Library for Evaluation of Large Language Models. CoRR (2023)
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. CoRR (2023)
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
DyVal: Graph-informed Dynamic Evaluation of Large Language Models. CoRR (2023)
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. CoRR (2023)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR (2023)
Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. EMNLP (2023)
Shuoyuan Wang, Jindong Wang, Huajun Xi, Bob Zhang, Lei Zhang, Hongxin Wei
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (4) (2023)
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 (2023)
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. KDD (2023)
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. CoRR (2023)
Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM (2023)
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 (2022)
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 (2022)
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)
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie
Domain-invariant Feature Exploration for Domain Generalization. CoRR (2022)
Wang Lu, Jindong Wang, Yiqiang Chen
Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition. ICASSP (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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)
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 (2022)
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie
Domain-invariant Feature Exploration for Domain Generalization. Trans. Mach. Learn. Res. 2022 (2022)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
Out-of-Distribution Representation Learning for Time Series Classification. CoRR (2022)
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 (2022)
Yi-Fan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
Domain-Specific Risk Minimization. CoRR (2022)
Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare. CoRR (2022)
Xiaohai Li, Weiwei Dai, Yiqiang Chen, Jindong Wang
DOPNet: Dynamic Optimized Pruning Net for Model Compression. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang
Domain Generalization for Activity Recognition via Adaptive Feature Fusion. CoRR (2022)
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) (2022)
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 (2022)
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 (2022)
Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition. CoRR (2021)
Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition. CoRR (2021)
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) (2021)
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)
Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu
MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition. ICASSP (2021)
Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki
Margin Calibration for Long-Tailed Visual Recognition. CoRR (2021)
Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin
Federated Learning with Adaptive Batchnorm for Personalized Healthcare. CoRR (2021)
Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals. CoRR (2021)
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 (2021)
Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin
Cross-domain Activity Recognition via Substructural Optimal Transport. CoRR (2021)
Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling. CoRR (2021)
Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin
Cross-domain activity recognition via substructural optimal transport. Neurocomputing 454 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jindong Wang