Chaozhuo Li

According to our database, Chaozhuo Li authored at least 80 papers between 2015 and 2024.

Collaborative distances:

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

2024

Growing Like a Tree: Finding Trunks From Graph Skeleton Trees.

Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs.

Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim

CoRR, 2024

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection.

Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation.

Yijun Ma, Chaozhuo Li, Xiao Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explainable survival analysis with uncertainty using convolution-involved vision transformer.

Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang

Comput. Medical Imaging Graph., December, 2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.

Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu

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

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.

Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu

ACM Trans. Inf. Syst., April, 2023

Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting.

Muzi Cui, Hao Jiang, Chaozhuo Li

Inf., 2023

Can Transformer and GNN Help Each Other?

Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim

CoRR, 2023

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.

Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang

CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.

Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie

CoRR, 2023

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.

Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin

Proceedings of the ACM Web Conference 2023, 2023

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.

Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding.

Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.

Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continual Learning on Dynamic Graphs via Parameter Isolation.

Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.

Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning.

Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hierarchical Graph Contrastive Learning.

Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Generative Sentiment Transfer via Adaptive Masking.

Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Bayesian Active Causal Discovery with Multi-Fidelity Experiments.

Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.

Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.

Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PASS: Personalized Advertiser-aware Sponsored Search.

Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Vision Transformers with Nested Multi-head Attentions.

Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Learning on Large-scale Text-attributed Graphs via Variational Inference.

Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.

Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.

Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Geometry Interaction Augmented Graph Collaborative Filtering.

Jie Xu, Chaozhuo Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Clean-label Poisoning Attack against Fake News Detection Models.

Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li

Proceedings of the IEEE International Conference on Big Data, 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.

Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks.

Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu

IEEE Trans. Cybern., 2022

Test-Time Training for Graph Neural Networks.

Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie

CoRR, 2022

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing.

Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefang Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang

CoRR, 2022

Geometric Interaction Augmented Graph Collaborative Filtering.

Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie

CoRR, 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.

Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Disentangled Collaborative Filtering.

Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.

Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Localized Graph Collaborative Filtering.

Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Reinforcement Subgraph Reasoning for Fake News Detection.

Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.

Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.

Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

Proceedings of the International Conference on Machine Learning, 2022

Going Deeper into Permutation-Sensitive Graph Neural Networks.

Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He

Proceedings of the International Conference on Machine Learning, 2022

Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN.

Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.

Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.

Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Deep Attentive Multimodal Network Representation Learning for Social Media Images.

Feiran Huang, Chaozhuo Li, Boyu Gao, Yun Liu, Sattam Alotaibi, Hao Chen

ACM Trans. Internet Techn., 2021

Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations.

Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu

IEEE Trans. Ind. Informatics, 2021

Dual self-attention with co-attention networks for visual question answering.

Yun Liu, Xiaoming Zhang, Qianyun Zhang, Chaozhuo Li, Feiran Huang, Xianghong Tang, Zhoujun Li

Pattern Recognit., 2021

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.

Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu

CoRR, 2021

Gophormer: Ego-Graph Transformer for Node Classification.

Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye

CoRR, 2021

Localized Graph Collaborative Filtering.

Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie

CoRR, 2021

GraphFormers: GNN-nested Language Models for Linked Text Representation.

Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie

CoRR, 2021

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.

Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.

Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.

Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Hubness-aware User Identity Linkage.

Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu

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

2020

Mixture distribution modeling for scalable graph-based semi-supervised learning.

Zhi Li, Chaozhuo Li, Liqun Yang, Philip S. Yu, Zhoujun Li

Knowl. Based Syst., 2020

2019

Visual-textual sentiment classification with bi-directional multi-level attention networks.

Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He

Knowl. Based Syst., 2019

Adversarial learning for multi-view network embedding on incomplete graphs.

Chaozhuo Li, Senzhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li

Knowl. Based Syst., 2019

Network embedding by fusing multimodal contents and links.

Feiran Huang, Xiaoming Zhang, Jie Xu, Chaozhuo Li, Zhoujun Li

Knowl. Based Syst., 2019

Multi-Hot Compact Network Embedding.

Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li

CoRR, 2019

Sentiment analysis of social images via hierarchical deep fusion of content and links.

Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He

Appl. Soft Comput., 2019

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation.

Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning with Noisy Labels for Sentence-level Sentiment Classification.

Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MARS: Memory Attention-Aware Recommender System.

Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Multi-Hot Compact Network Embedding.

Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.

Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adversarial Learning for Weakly-Supervised Social Network Alignment.

Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder.

Feiran Huang, Xiaoming Zhang, Chaozhuo Li, Zhoujun Li, Yueying He, Zhonghua Zhao

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion.

Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li

Proceedings of the IEEE International Conference on Data Mining, 2018

Optimizing Generalized Linear Models with Billions of Variables.

Yanbo Liang, Yongyang Yu, MingJie Tang, Chaozhuo Li, Weiqing Yang, Weichen Xu, Ruifeng Zheng

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Distribution Distance Minimization for Unsupervised User Identity Linkage.

Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

DTRP: A Flexible Deep Framework for Travel Route Planning.

Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

PPNE: Property Preserving Network Embedding.

Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou

Proceedings of the Database Systems for Advanced Applications, 2017

Semi-Supervised Network Embedding.

Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou

Proceedings of the Database Systems for Advanced Applications, 2017

From Properties to Links: Deep Network Embedding on Incomplete Graphs.

Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Detecting Context Dependent Messages in a Conversational Environment.

Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou

Proceedings of the COLING 2016, 2016

2015

Exploring Social Network Information for Solving Cold Start in Product Recommendation.

Chaozhuo Li, Fang Wang, Yang Yang, Zhoujun Li, Xiaoming Zhang

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015