Xiang Li

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 44

Top Topics

Heterogeneous Information Networks

Top Venues

Publications

Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
Structure-aware Fine-tuning for Code Pre-trained Models. CoRR (2024)
Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR (2024)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
BapFL: You can Backdoor Personalized Federated Learning. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
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)
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR (2024)
Gang Wang, Xiang Li, Ziyi Guo, Dawei Yin, Shuai Ma
SMEC: Scene Mining for E-Commerce. J. Comput. Sci. Technol. 39 (2) (2024)
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
Training-free Multi-objective Diffusion Model for 3D Molecule Generation. ICLR (2024)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM (2024)
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING (2024)
Xiufeng Shu, Ruidong Han, Xiang Li, Wei Lin
Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation. CoRR (2024)
Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. ACL (1) (2024)
Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING (2024)
Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework. CoRR (2024)
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. KDD (2024)
Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD (2024)
Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li
Improving Graph Out-of-distribution Generalization on Real-world Data. CoRR (2024)
Chenghua Gong, Yao Cheng, Xiang Li, Caihua Shan, Siqiang Luo, Chuan Shi
Towards Learning from Graphs with Heterophily: Progress and Future. CoRR (2024)
Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. LREC/COLING (2024)
Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. CoRR (2024)
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW (2023)
Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li
Explaining Temporal Graph Models through an Explorer-Navigator Framework. ICLR (2023)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
You Can Backdoor Personalized Federated Learning. CoRR (2023)
Mengyi Yuan, Minjie Chen, Xiang Li
MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction. CIKM (2023)
Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao
Lexical Knowledge Internalization for Neural Dialog Generation. CoRR (2022)
Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. EDBT (2021)
Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. ICDE (2021)
Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. CoRR (2021)
Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. ACL/IJCNLP (1) (2021)
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
Reinforcement Learning Enhanced Explainer for Graph Neural Networks. NeurIPS (2021)
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD (2020)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
A General Early-Stopping Module for Crowdsourced Ranking. DASFAA (2) (2020)
Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. CoRR (2020)
Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. ICDE (2020)
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR (2020)
Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. CoRR (2020)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
A General Early-Stopping Module for Crowdsourced Ranking. CoRR (2019)
Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. CoRR (2019)
Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin
Spectral Clustering in Heterogeneous Information Networks. AAAI (2019)
Xiang Li, Ben Kao, Siqiang Luo, Martin Ester
ROSC: Robust Spectral Clustering on Multi-scale Data. WWW (2018)
Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW (2017)
Xiang Li, Ben Kao, Yudian Zheng, Zhipeng Huang
On Transductive Classification in Heterogeneous Information Networks. CIKM (2016)
Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. KDD (2016)
Chang Wan, Xiang Li, Ben Kao, Xiao Yu, Quanquan Gu, David Wai-Lok Cheung, Jiawei Han
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks. CIKM (2015)
Luyi Mo, Reynold Cheng, Xiang Li, David W. Cheung, Xuan S. Yang
Cleaning uncertain data for top-k queries. ICDE (2013)
Xiang Li, Shaoyin Cheng, Wenlong Chen, Fan Jiang
Effective Method for Promoting Viral Marketing in Microblog. SocialCom (2013)
Xiang Li, Shaoyin Cheng, Wenlong Chen, Fan Jiang
Novel user influence measurement based on user interaction in microblog. ASONAM (2013)
Guangyu Yin, Fan Jiang, Shaoyin Cheng, Xiang Li, Xing He
AUTrust: A Practical Trust Measurement for Adjacent Users in Social Networks. CGC (2012)
Liwen Sun, Reynold Cheng, Xiang Li, David W. Cheung, Jiawei Han
On Link-based Similarity Join. Proc. VLDB Endow. 4 (11) (2011)
Reynold Cheng, Eric Lo, Xuan S. Yang, Ming-Hay Luk, Xiang Li, Xike Xie
Explore or Exploit? Effective Strategies for Disambiguating Large Databases. Proc. VLDB Endow. 3 (1) (2010)