Wang, Jindong

A Survey on Evaluation of Large Language Models

Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y., et al. (2024) · ACM Transactions on Intelligent Systems and Technology

Topic ModelingNatural Language Processing Techniques

Cited by 4,254

A Survey on Evaluation of Large Language Models

Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3,159

Deep learning for sensor-based activity recognition: A survey

Wang, J., Chen, Y., Hao, S., Peng, X., & Hu, L. (2019) · Pattern Recognition Letters

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 2,014

Generalizing to unseen domains: A survey on domain generalization

Wang, J., Lan, C., Liu, C., Ouyang, Y., Qin, T., Lu, W., Chen, Y., Zeng, W., & Yu, P. (2022) · IEEE Transactions on Knowledge and Data Engineering

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 1,046

FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

Chen, Y., Qin, X., Wang, J., Yu, C., & Gao, W. (2020) · IEEE Intelligent Systems

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 1,005

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Zhu, K., Wang, J., Zhou, J., Wang, Z., Chen, H., Wang, Y., Yang, L., Ye, W., Zhang, Y., Gong, N. Z., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 153

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Zhu, K., Wang, J., Zhou, J., Wang, Z., Chen, H., Wang, Y., Yang, L., Ye, W., Zhang, Y., Gong, N., et al. (2023) · Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 151

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

Wang, J., Hu, X., Hou, W., Chen, H., Zheng, R., Wang, Y., Yang, L., Huang, H., Ye, W., Geng, X., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 86

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Yang, L., Zhang, S., Qin, L., Li, Y., Wang, Y., Liu, H., Wang, J., Xie, X., & Zhang, Y. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 81

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

Wang, C., Liu, X., Yue, Y., Tang, X., Zhang, T., Jiayang, C., Yao, Y., Gao, W., Hu, X., Qi, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 61

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Li, C., Wang, J., Zhang, Y., Zhu, K., Hou, W., Lian, J., Luo, F., Yang, Q., & Xie, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 59

Domain Generalization for Activity Recognition via Adaptive Feature Fusion

Qin, X., Wang, J., Chen, Y., Lu, W., & Jiang, X. (2023) · ACM Transactions on Intelligent Systems and Technology

Domain Adaptation and Few-Shot LearningContext-Aware Activity Recognition Systems

Cited by 55

Exploring Vision-Language Models for Imbalanced Learning

Wang, Y., Yu, Z., Wang, J., Heng, Q., Chen, H., Ye, W., Xie, R., Xie, X., & Zhang, S. (2023) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 45

CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents

Zhao, Q., Wang, J., Zhang, Y., Jin, Y., Zhu, K., Chen, H., & Xie, X. (2023) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 37

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Wang, Y., Yu, Z., Zeng, Z., Yang, L., Wang, C., Chen, H., Jiang, C., Xie, R., Wang, J., Xie, X., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning

Qin, X., Wang, J., Ma, S., Lu, W., Zhu, Y., Xie, X., & Chen, Y. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 29

Mm-soc: Benchmarking multimodal large language models in social media platforms

Jin, Y., Choi, M., Verma, G., Wang, J., & Kumar, S. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Multimodal Machine Learning ApplicationsHate Speech and Cyberbullying Detection

Cited by 20