Chaozhuo Li

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 91

Top Topics

Collaborative Filtering

Sentiment Analysis

Attributed Graphs

Sponsored Search

Top Venues

Publications

Muzi Cui, Hao Jiang, Chaozhuo Li
Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting. Inf. 14 (9) (2023)
Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li
Generative Sentiment Transfer via Adaptive Masking. PAKDD (4) (2023)
Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang
Explainable survival analysis with uncertainty using convolution-involved vision transformer. Comput. Medical Imaging Graph. 110 (2023)
Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS (2023)
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
PASS: Personalized Advertiser-aware Sponsored Search. KDD (2023)
Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS (2023)
Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong
Improving Vision Transformers with Nested Multi-head Attentions. ICME (2023)
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41 (2) (2023)
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR (2023)
Jie Xu, Chaozhuo Li
Geometry Interaction Augmented Graph Collaborative Filtering. CIKM (2023)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
Can Transformer and GNN Help Each Other? CoRR (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR (2023)
Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR (2023)
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR (2023)
Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. EMNLP (2023)
Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li
Generative Sentiment Transfer via Adaptive Masking. CoRR (2023)
Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. SDM (2023)
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. SIGIR (2023)
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR (2023)
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. ACL (1) (2023)
Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang
Hierarchical Graph Contrastive Learning. ECML/PKDD (2) (2023)
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW (2023)
Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS (2023)
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. SIGIR (2023)
Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li
Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding. WISE (2023)
Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li
Clean-label Poisoning Attack against Fake News Detection Models. BigData (2023)
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. CoRR (2023)
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
Bayesian Active Causal Discovery with Multi-Fidelity Experiments. NeurIPS (2023)
Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu
Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks. IEEE Trans. Cybern. 52 (6) (2022)
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CoRR (2022)
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CIKM (2022)
Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefang Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. CoRR (2022)
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
Test-Time Training for Graph Neural Networks. CoRR (2022)
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
HousE: Knowledge Graph Embedding with Householder Parameterization. ICML (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW (2022)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR (2022)
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
Going Deeper into Permutation-Sensitive Graph Neural Networks. CoRR (2022)
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
Going Deeper into Permutation-Sensitive Graph Neural Networks. ICML (2022)
Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. CoRR (2022)
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
HousE: Knowledge Graph Embedding with Householder Parameterization. CoRR (2022)
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
Learning on Large-scale Text-attributed Graphs via Variational Inference. CoRR (2022)
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR (2022)
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang
Localized Graph Collaborative Filtering. SDM (2022)
Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. EMNLP (2022)
Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. KDD (2022)
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
Reinforcement Subgraph Reasoning for Fake News Detection. KDD (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR (2022)
Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu
Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. ICDE (2022)
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR (2022)
Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
Geometric Interaction Augmented Graph Collaborative Filtering. CoRR (2022)
Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang
Geometric Disentangled Collaborative Filtering. SIGIR (2022)
Yun Liu, Xiaoming Zhang, Qianyun Zhang, Chaozhuo Li, Feiran Huang, Xianghong Tang, Zhoujun Li
Dual self-attention with co-attention networks for visual question answering. Pattern Recognit. 117 (2021)
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie
Localized Graph Collaborative Filtering. CoRR (2021)
Feiran Huang, Chaozhuo Li, BoYu Gao, Yun Liu, Sattam Alotaibi, Hao Chen
Deep Attentive Multimodal Network Representation Learning for Social Media Images. ACM Trans. Internet Techn. 21 (3) (2021)
Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. EMNLP (Findings) (2021)
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. CoRR (2021)
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. CoRR (2021)
Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu
Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations. IEEE Trans. Ind. Informatics 17 (4) (2021)
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR (2021)
Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS (2021)
Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie
GraphFormers: GNN-nested Language Models for Linked Text Representation. CoRR (2021)
Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. CoRR (2021)
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
Gophormer: Ego-Graph Transformer for Node Classification. CoRR (2021)
Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu
Hubness-aware User Identity Linkage. CIKM (2021)
Zhi Li, Chaozhuo Li, Liqun Yang, Philip S. Yu, Zhoujun Li
Mixture distribution modeling for scalable graph-based semi-supervised learning. Knowl. Based Syst. 200 (2020)
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) (2019)
Feiran Huang, Xiaoming Zhang, Jie Xu, Chaozhuo Li, Zhoujun Li
Network embedding by fusing multimodal contents and links. Knowl. Based Syst. 171 (2019)
Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li
Adversarial Learning for Weakly-Supervised Social Network Alignment. AAAI (2019)
Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He
Visual-textual sentiment classification with bi-directional multi-level attention networks. Knowl. Based Syst. 178 (2019)
Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He
Sentiment analysis of social images via hierarchical deep fusion of content and links. Appl. Soft Comput. 80 (2019)
Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li
Multi-Hot Compact Network Embedding. CIKM (2019)
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li
Multi-Hot Compact Network Embedding. CoRR (2019)
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR (2019)
Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR (2019)
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
MARS: Memory Attention-Aware Recommender System. DSAA (2019)
Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. CIKM (2019)
Chaozhuo Li, Senzhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li
Adversarial learning for multi-view network embedding on incomplete graphs. Knowl. Based Syst. 180 (2019)
Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. ICDM (2018)
Yanbo Liang, Yongyang Yu, MingJie Tang, Chaozhuo Li, Weiqing Yang, Weichen Xu, Ruifeng Zheng
Optimizing Generalized Linear Models with Billions of Variables. CIKM (2018)
Feiran Huang, Xiaoming Zhang, Chaozhuo Li, Zhoujun Li, Yueying He, Zhonghua Zhao
Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder. ICMR (2018)
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang
Distribution Distance Minimization for Unsupervised User Identity Linkage. CIKM (2018)
Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li
From Properties to Links: Deep Network Embedding on Incomplete Graphs. CIKM (2017)
Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou
PPNE: Property Preserving Network Embedding. DASFAA (1) (2017)
Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao
DTRP: A Flexible Deep Framework for Travel Route Planning. WISE (1) (2017)
Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou
Semi-Supervised Network Embedding. DASFAA (1) (2017)
Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou
Detecting Context Dependent Messages in a Conversational Environment. COLING (2016)
Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou
Detecting Context Dependent Messages in a Conversational Environment. CoRR (2016)
Chaozhuo Li, Fang Wang, Yang Yang, Zhoujun Li, Xiaoming Zhang
Exploring Social Network Information for Solving Cold Start in Product Recommendation. WISE (2) (2015)