Zhang, Xiangliang

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Guo, T., Chen, X., Wang, Y., Chang, R., Pei, S., Chawla, N. V., Wiest, O., & Zhang, X. (2024) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 1,713

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

Li, L., Liu, J., Cheng, L., Qiu, S., Wang, W., Zhang, X., & Zhang, Z. (2018) · IEEE Transactions on Intelligent Transportation Systems

Vehicular Ad Hoc Networks (VANETs)Blockchain Technology Applications and Security

Cited by 571

An up-to-date comparison of state-of-the-art classification algorithms

Zhang, C., Liu, C., Zhang, X., & Almpanidis, G. (2017) · Expert Systems with Applications

Machine Learning and Data ClassificationMachine Learning and ELM

Cited by 440

Decision Theory for Discrimination-Aware Classification

Kamiran, F., Karim, A., & Zhang, X. (2012) · 2012 IEEE 12th International Conference on Data Mining

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 300

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

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Li, D., Sun, R., Huang, Y., Zhong, M., Jiang, B., Han, J., Zhang, X., Wang, W., & Liu, H. (2025) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 134

When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System

Liu, X., Liu, A., Zhang, X., Li, Z., Liu, G., Zhao, L., & Zhou, X. (2017) · Lecture Notes in Computer Science

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 42

DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network

Zhou, G., Wang, J., Zhang, X., & Yu, G. (2019) · 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Machine Learning in BioinformaticsBioinformatics and Genomic Networks

Cited by 32

Towards Improving Faithfulness in Abstractive Summarization

Chen, X., Li, M., Gao, X., & Zhang, X. (2022) · Advances in Neural Information Processing Systems 35

Topic ModelingAdvanced Text Analysis Techniques

Cited by 21

Towards Improving Faithfulness in Abstractive Summarization

Chen, X., Li, M., Gao, X., & Zhang, X. (2022) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 20

WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs

Gui, Y., Li, Z., Wan, Y., Shi, Y., Zhang, H., Chen, B., Su, Y., Chen, D., Wu, S., Zhou, X., et al. (2025) · Proceedings of the ACM on Web Conference 2025

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 17

HonestLLM: Toward an Honest and Helpful Large Language Model

Gao, C., Wu, S., Huang, Y., Chen, D., Zhang, Q., Fu, Z., Wan, Y., Sun, L., & Zhang, X. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 11

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Ye, J., Wang, Y., Huang, Y., Chen, D., Zhang, Q., Moniz, N., Gao, T., Geyer, W., Huang, C., Chen, P.-Y., et al. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 11

Evaluating Large Language Models with Psychometrics . -

Li, Y., Huang, Y., Wang, H., Cheng, Y., Zhang, X., Zou, J., & Sun, L. (2024) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 8

Evaluating Large Language Models in Scientific Discovery

Song, Z., Lu, J., Du, Y., Yu, B., Pruyn, T. M., Huang, Y., Guo, K., Luo, X., Qu, Y., Qu, Y., et al. (2025) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 3

JobBench: Aligning Agent Work With Human Will

Li, Y., Feng, Y., Xu, Z., Ma, Z., Zheng, K., Jiang, F., Sun, X., Shao, R., Chen, Z., Huang, Y., et al. (2026) · arXiv

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 0

MemoHarness: Agent Harnesses That Learn from Experience

Huang, Y., Wang, W., Bao, H., Ma, Y., Luo, X., Nian, Y., Zhuang, H., Liu, Z., Zhao, Y., & Zhang, X. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0