Xuezhi Cao

According to our database, Xuezhi Cao authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Length Desensitization in Directed Preference Optimization.

Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun Xu, Xuezhi Cao, Jingang Wang, Xunliang Cai

CoRR, 2024

Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs.

Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang

CoRR, 2024

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.

Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs.

Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition.

Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation.

Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu

IEEE Trans. Knowl. Data Eng., October, 2023

Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis.

Dan Ma, Jun Xu, Zongyu Wang, Xuezhi Cao, Yunsen Xian

CoRR, 2023

Exchanging-based Multimodal Fusion with Transformer.

Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian

CoRR, 2023

Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition.

Chengcheng Han, Renyu Zhu, Jun Kuang, FengJiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu

CoRR, 2023

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation.

Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He

CoRR, 2023

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion.

Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He

CoRR, 2023

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation.

Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He

Proceedings of the ACM Web Conference 2023, 2023

Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization.

Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2021

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.

Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Iterative Strategy for Named Entity Recognition with Imperfect Annotations.

Huimin Xu, Yunian Chen, Jian Sun, Xuezhi Cao, Rui Xie

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Table Fact Verification with Structure-Aware Transformer.

Hongzhi Zhang, Yingyao Wang, Sirui Wang, Xuezhi Cao, Fuzheng Zhang, Zhongyuan Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-modal Knowledge Graphs for Recommender Systems.

Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, Kai Zheng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Collaborative Filtering with Graph-based Implicit Feedback.

Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu

CoRR, 2018

A Bootstrapping Framework With Interactive Information Modeling for Network Alignment.

Xuezhi Cao, Weinan Zhang, Yong Yu

IEEE Access, 2018

A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks.

Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song

Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

Neural Link Prediction over Aligned Networks.

Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks.

Xuezhi Cao, Yong Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

IMAP: An iterative method for aligning protein-protein interaction networks.

Xuezhi Cao, Zhiyu Chen, Xinyi Zhang, Yong Yu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

A Complete & Comprehensive Movie Review Dataset (CCMR).

Xuezhi Cao, Weiyue Huang, Yong Yu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling.

Yiming Liu, Xuezhi Cao, Yong Yu

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Joint User Modeling across Aligned Heterogeneous Sites.

Xuezhi Cao, Yong Yu

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks.

Xuezhi Cao, Yong Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

ASNets: A Benchmark Dataset of Aligned Social Networks for Cross-Platform User Modeling.

Xuezhi Cao, Yong Yu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Revealing Multiple Layers of Hidden Community Structure in Networks.

Kun He, Sucheta Soundarajan, Xuezhi Cao, John E. Hopcroft, Menglong Huang

CoRR, 2015

Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning.

Xuezhi Cao, Weiyue Huang, Yong Yu

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2012

News comments generation via mining microblogs.

Xuezhi Cao, Kailong Chen, Rui Long, Guoqing Zheng, Yong Yu

Proceedings of the 21st World Wide Web Conference, 2012