Xie, Xing

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

Understanding mobility based on GPS data

Zheng, Y., Li, Q., Chen, Y., Xie, X., & Ma, W.-Y. (2008) · Proceedings of the 10th international conference on Ubiquitous computing

Human Mobility and Location-Based AnalysisContext-Aware Activity Recognition Systems

Cited by 1,132

Learning transportation mode from raw gps data for geographic applications on the web

Zheng, Y., Liu, L., Wang, L., & Xie, X. (2008) · Proceedings of the 17th international conference on World Wide Web

Human Mobility and Location-Based AnalysisData Management and Algorithms

Cited by 616

TrustLLM: Trustworthiness in Large Language Models

Huang, Y., Sun, L., Wang, H., Wu, S., Zhang, Q., Li, Y., Gao, C., Huang, Y., Lyu, W., Zhang, Y., et al. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 256

Personalized News Recommendation: Methods and Challenges

Wu, C., Wu, F., Huang, Y., & Xie, X. (2023) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 240

A Reinforcement Learning Framework for Explainable Recommendation

Wang, X., Chen, Y., Yang, J., Wu, L., Wu, Z., & Xie, X. (2018) · 2018 IEEE International Conference on Data Mining (ICDM)

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 163

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

Explainable Recommendation through Attentive Multi-View Learning

Gao, J., Wang, X., Wang, Y., & Xie, X. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 127

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

Differentially Private Knowledge Transfer for Federated Learning

Qi, T., Wu, F., Wu, C., Huang, Y., & Xie, X. (2022) · Nature Communications

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

Cited by 65

Differentially private knowledge transfer for federated learning

Qi, T., Wu, F., Wu, C., He, L., Huang, Y., & Xie, X. (2023) · Nature Communications

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

Cited by 65

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

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

Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data

Wang, Y., Zhou, X., Noulas, A., Mascolo, C., Xie, X., & Chen, E. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Human Mobility and Location-Based AnalysisData-Driven Disease Surveillance

Cited by 22

Reinforcing Pretrained Models for Generating Attractive Text Advertisements

Wang, X., Gu, X., Cao, J., Zhao, Z., Yan, Y., Middha, B., & Xie, X. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Topic ModelingInformation Retrieval and Search Behavior

Cited by 20

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Yang, Z., Yi, X., Li, P., Liu, Y., & Xie, X. (2022) · arXiv

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 17

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Yi, J., Xie, Y., Zhu, B., Kiciman, E., Sun, G., Xie, X., & Wu, F. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 8

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora

Chen, C., Wang, X., Yi, X., Wu, F., Xie, X., & Yan, R. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesSpeech and dialogue systems

Cited by 5