Xuezhi Cao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Named Entity Recognition

Graph Embedding

Rating Prediction

Top Venues

Publications

Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. LREC/COLING (2024)
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. NAACL-HLT (2024)
Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu
Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization. ACL (industry) (2023)
Chengcheng Han, Renyu Zhu, Jun Kuang, FengJiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. CoRR (2023)
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. CoRR (2023)
Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR (2023)
Dan Ma, Jun Xu, Zongyu Wang, Xuezhi Cao, Yunsen Xian
Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis. CoRR (2023)
Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
Exchanging-based Multimodal Fusion with Transformer. CoRR (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR (2023)
Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CIKM (2021)
Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CoRR (2021)
Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. CoRR (2021)
Huimin Xu, Yunian Chen, Jian Sun, Xuezhi Cao, Rui Xie
Iterative Strategy for Named Entity Recognition with Imperfect Annotations. NLPCC (2) (2020)
Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, Kai Zheng
Multi-modal Knowledge Graphs for Recommender Systems. CIKM (2020)
Hongzhi Zhang, Yingyao Wang, Sirui Wang, Xuezhi Cao, Fuzheng Zhang, Zhongyuan Wang
Table Fact Verification with Structure-Aware Transformer. EMNLP (1) (2020)
Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. IEEE Symposium on Security and Privacy (2018)
Xuezhi Cao, Weinan Zhang, Yong Yu
A Bootstrapping Framework With Interactive Information Modeling for Network Alignment. IEEE Access 6 (2018)
Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks. CoRR (2018)
Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu
Neural Link Prediction over Aligned Networks. AAAI (2018)
Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu
Collaborative Filtering with Graph-based Implicit Feedback. CoRR (2018)
Xuezhi Cao, Yong Yu
Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks. ECML/PKDD (1) (2017)
Xuezhi Cao, Zhiyu Chen, Xinyi Zhang, Yong Yu
IMAP: An iterative method for aligning protein-protein interaction networks. BIBM (2017)
Xuezhi Cao, Yong Yu
BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks. ECML/PKDD (1) (2016)
Yiming Liu, Xuezhi Cao, Yong Yu
Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling. RecSys (2016)
Xuezhi Cao, Weiyue Huang, Yong Yu
A Complete & Comprehensive Movie Review Dataset (CCMR). SIGIR (2016)
Xuezhi Cao, Yong Yu
Joint User Modeling across Aligned Heterogeneous Sites. RecSys (2016)
Xuezhi Cao, Yong Yu
ASNets: A Benchmark Dataset of Aligned Social Networks for Cross-Platform User Modeling. CIKM (2016)
Kun He, Sucheta Soundarajan, Xuezhi Cao, John E. Hopcroft, Menglong Huang
Revealing Multiple Layers of Hidden Community Structure in Networks. CoRR (2015)
Xuezhi Cao, Weiyue Huang, Yong Yu
Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning. ICDM Workshops (2015)
Xuezhi Cao, Kailong Chen, Rui Long, Guoqing Zheng, Yong Yu
News comments generation via mining microblogs. WWW (Companion Volume) (2012)