Chaozhuo Li (李朝卓)

Chaozhuo Li (李朝卓)

Researcher at Microsoft Research Asia.

Publications (Google Scholar Profile)

(# denotes corresponding author, * denotes equal contributions)

2024

  1. [AAAI] Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li*: Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. The 38th Annual AAAI Conference on Artificial Intelligence. (CCF-A).
  2. [AAAI] Yijun Ma, Chaozhuo Li, Xiao Zhou, Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation, The 38th Annual AAAI Conference on Artificial Intelligence. (CCF-A).
  3. [ICLR] Peiyan Zhang, Haoyang Liu, Chaozhuo Li#, Xing Xie, Sunghun Kim, Haohan Wang, Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models, The Twelfth International Conference on Learning Representations. (ICLR)
  4. [WWW] Peiyan Zhang, Chaozhuo Li#, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim, High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs, The Web Conference 2024. (CCF-A).
  5. [SIGIR] GPT4Rec: Graph Prompt Tuning for Streaming Recommendation, Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li#, Feiran Huang, Senzhang Wang, Sunghun Kim, SIGIR. (CCF-A)
  6. [MM] Litian Zhang, Xiaoming Zhang, Chaozhuo Li#, Ziyi Zhou, Xi Zhang, Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation （CCF-A）
  7. [MM] Shiqin Liu, Chaozhuo Li#, Xi Zhang, Minjun Zhao, yuanbo xu, Jiajun Bu, Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training (CCF-A)
  8. [SIGIR] GPT4Rec: Graph Prompt Tuning for Streaming Recommendation, Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li#, Feiran Huang, Senzhang Wang, Sunghun Kim, SIGIR. (CCF-A)
  9. [SIGIR] TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems, Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li#, Senzhang Wang, Feiran Huang, Sunghun Kim, SIGIR 2024. (CCF-A)
  10. [Information Science] PPMGS: An Efficient and Effective Solution for Distributed Privacy-Preserving Semi-Supervised Learning, Zhi Li, Chaozhuo Li#, Zhoujun Li, Jian Weng, Feiran Huang, Zhibo Zhou, Information Sciences. (CCF-B)
  11. [ICML] Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization, Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen, ICML (CCF-A)
  12. [ACL] Evidence Retrieval is almost All You Need for Fact Verification, Liwen Zheng, Chaozhuo Li#, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia, ACL 2024. (CCF-A)
  13. [TOIS] TriMLP: A Foundational MLP-like Architecture for Sequential Recommendation, Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong, ACM Transactions on Information Systems. (CCF-A)
  14. [WWW] Information Retrieval Meets Large Language Models, Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie, Companion Proceedings of the ACM on Web Conference 2024. (CCF-A)
  15. [PLoS computational biology] Challenges of COVID-19 Case Forecasting in the US, 2020–2021, Velma K Lopez, Estee Y Cramer, Robert Pagano, Chaozhuo Li，PLoS computational biology.
  16. [TCSVT] 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, Jian Weng, IEEE Transactions on Circuits and Systems for Video Technology. (CCF-B)
  17. Information Fusion Identifying the hierarchical emotional areas in the human brain through information fusion, Zhongyu Huang, Changde Du, Chaozhuo Li, Kaicheng Fu, Huiguang He. (CCF-B)
  18. [TNNLS] Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment, Jie Xu; Chaozhuo Li#, Feiran Huang; Zhoujun Li; Xing Xie; Philip S. Yu. (CCF-B)
  19. [PRICAI] Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization, Jiahui Hu, Jie Xu, Liqiang Qiao, Feiran Huang, Jilu Wang, Jiakun Chen, Chaozhuo Li (CCF-C)
  20. [PRICAI] Context-Aware Structural Adaptive Graph Neural Networks, Jiahui Hu, iakun Chen, Jie Xu, Liqiang Qiao, Shuo Wang and Feiran Huang, Chaozhuo Li, (CCF-C)
  21. [TIST] Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining, Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Jie Xu, Xi Zhang.
  22. [EMNLP] BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting, Rui Pu, Chaozhuo Li#, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang (CCF-B)
  23. [Information Fusion] Knowledge-Aware Multimodal Pre-Training for Fake News Detection, Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu and Chaozhuo Li (CCF-B)
  24. [NeurIPS]-Spotlight Yuefei Lyu, Sihong Xie, Chaozhuo Li#, Xi Zhang, Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning. (CCF-A)
  25. [WSDM] Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation, Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian. (CCF-B)
  26. [WSDM] MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models, Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang. (CCF-B)
  27. [TKDE] Learning without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems, Yuanbo Xu, Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu. (CCF-A)
  28. [TKDE] Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li, Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. (CCF-A)

2023

  1. [EMNLP] Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie, Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. (CCF-B)
  2. [TPAMI] Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He, Growing Like a Tree: Finding Trunks From Graph Skeleton Trees, IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A)
  3. [NeurIPS] Jun Yin, Chaozhuo Li*, Hao Yan, Jianxun Lian, Senzhang Wang, Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks, Thirty-seventh Conference on Neural Information Processing Systems. (CCF-A)
  4. [NuerIPS] Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang, V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs, Thirty-seventh Conference on Neural Information Processing Systems . (CCF-A)
  5. [NuerIPS] Zeyu Zhang, Chaozhuo Li*, Xu Chen, Xing Xie, Bayesian Active Causal Discovery with Multi-Fidelity Experiments, Thirty-seventh Conference on Neural Information Processing Systems. (CCF-A)
  6. [NuerIPS] 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, Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. (CCF-A)
  7. [CIKM] Jie Xu, Chaozhuo Li#, Geometry Interaction Augmented Graph Collaborative Filtering, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. (CCF-B)
  8. [CIKM] 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, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. (CCF-B)
  9. [WISE] Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li, Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding, International Conference on Web Information Systems Engineering. (CCF-C)
  10. [Information] Muzi Cui, Hao Jiang, Chaozhuo Li#, Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting, Information.
  11. [ECML-PKDD] Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang, Hierarchical Graph Contrastive Learning, Joint European Conference on Machine Learning and Knowledge Discovery in Databases. (CCF-B)
  12. [KDD] 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, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (CCF-A)
  13. [KDD-CUP] Yuxuan Lei, Xiaolong Chen, Defu Lian, Peiyan Zhang, Jianxun Lian, Chaozhuo Li#, Xing Xie, Practical Content-aware Session-based Recommendation: Deep Retrieve then Shallow Rank, Amazon KDD Cup 2023 Workshop.
  14. [SIGIR] 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, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)
  15. [SIGIR] 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, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)
  16. [ICME] Jiquan Peng, Chaozhuo Li#, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong, Improving Vision Transformers with Nested Multi-head Attentions, 2023 IEEE International Conference on Multimedia and Expo (ICME). (CCF-B)
  17. [WISE] Yingze Xie, Jie Xu, Liqiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li, Generative Sentiment Transfer via Adaptive Masking, Pacific-Asia Conference on Knowledge Discovery and Data Mining. (CCF-C) (最佳论文提名)
  18. [ACL] 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, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. (CCF-A)
  19. [SIGIR] Peiyan Zhang, Yuchen Yan, Chaozhuo Li#, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim, Continual Learning on Dynamic Graphs via Parameter Isolation, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)
  20. [WWW] 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, Proceedings of the ACM Web Conference 2023. (CCF-A)
  21. [TKDE] Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, S Yu Philip, Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning, IEEE Transactions on Knowledge and Data Engineering. (CCF-A)
  22. [WSDM] Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jae Boum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim, Efficiently leveraging multi-level user intent for session-based recommendation via atten-mixer network, Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. (CCF-B) (最佳论文提名)
  23. [SDM] Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang, Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning, Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). (CCF-B)
  24. [BigData] Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li, Clean-label Poisoning Attack against Fake News Detection Models, 2023 IEEE International Conference on Big Data (BigData).
  25. [Computerized Medical Imaging and Graphics] Zhihao Tang, Li Liu, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang, Clean-label Poisoning Attack against Fake News Detection Models, Computerized Medical Imaging and Graphics.

2022

  1. [TOIS] 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 Transactions on Information Systems . (CCF-A)
  2. [ICLR] 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, The Eleventh International Conference on Learning Representations.
  3. [EMNLP] 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, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. (CCF-B)
  4. [CIKM] Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim, Evolutionary preference learning via graph nested gru ode for session-based recommendation, Proceedings of the 31st ACM International Conference on Information & Knowledge Management. (CCF-B)
  5. [KDD] 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, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (CCF-A)
  6. [KDD] Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie, Reinforcement subgraph reasoning for fake news detection, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (CCF-A)
  7. [Scientific Data] Estee Y Cramer, Yuxin Huang, Yijin Wang, Evan L Ray… Chaozhuo Li, …, The united states covid-19 forecast hub dataset, Scientific data. (Nature子刊)
  8. [SIGIR] Yiding Zhang, Chaozhuo Li*, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang, Geometric disentangled collaborative filtering, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)
  9. [SIGIR] Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie, Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)
  10. [ICML] Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He, Going deeper into permutation-sensitive graph neural networks, International Conference on Machine Learning. (CCF-A)
  11. [ICML] 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, International Conference on Machine Learning. (CCF-A)
  12. [ICDE] Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu, Deep popularity prediction in multi-source cascade with HERI-GCN, 2022 IEEE 38th International Conference on Data Engineering (ICDE). (CCF-A)
  13. [WWW] 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, Proceedings of the ACM Web Conference 2022. (CCF-A)
  14. [PNAS] Estee Y Cramer, Yuxin Huang, Yijin Wang, Evan L Ray… Chaozhuo Li, …, Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States, Proceedings of the National Academy of Sciences. (Top期刊)
  15. [SDM] Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang, Localized graph collaborative filtering, Proceedings of the 2022 SIAM International Conference on Data Mining (SDM). (CCF-B)

2021

  1. [NeurIPS] 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, Advances in Neural Information Processing Systems. (CCF-A)
  2. [EMNLP] 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, Findings of the Association for Computational Linguistics: EMNLP 2021. (CCF-B)
  3. [CIKM] Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip Yu, Hubness-aware User Identity Linkage, Proceedings of the 30th ACM International Conference on Information & Knowledge Management. (CCF-B)
  4. [PR] 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 Recognition. (CCF-B, Top期刊)
  5. [SIGIR] 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, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)

2020

  1. [TCyber] Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, S Yu Philip, Visual sentiment analysis with social relations-guided multiattention networks, IEEE Transactions on Cybernetics. (CCF-B, Top期刊)
  2. [KBS] Zhi Li, Chaozhuo Li, Liqun Yang, S Yu Philip, Zhoujun Li, Mixture distribution modeling for scalable graph-based semi-supervised learning, Knowledge-Based Systems. (CCF-C, Top期刊)
  3. [TII] Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, S Yu Philip, Social image sentiment analysis by exploiting multimodal content and heterogeneous relations, IEEE Transactions on Industrial Informatics. (CCF-B, Top期刊)

2019

  1. [CIKM] 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, Proceedings of the 28th ACM international conference on information and knowledge management. (CCF-B)
  2. [CIKM] Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S Yu, Zhoujun Li, Multi-hot compact network embedding, Proceedings of the 28th ACM International Conference on Information and Knowledge Management. (CCF-B)
  3. [DSAA] Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Huang He, Chaozhuo Li, Vahid Noroozi, Bowen Dong, S Yu Philip, Mars: Memory attention-aware recommender system, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA). (CCF-C)
  4. [KBS] Chaozhuo Li, Senzhang Wang, Dejian Yang, S Yu Philip, Yanbo Liang, Zhoujun Li, Adversarial learning for multi-view network embedding on incomplete graphs, Knowledge-Based Systems. (CCF-C, Top期刊)
  5. [EMNLP] Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li, Learning with noisy labels for sentence-level sentiment classification, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing. (CCF-B)
  6. [KBS] 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, Knowledge-Based Systems. (CCF-C, Top期刊)
  7. [SIGIR] Lei Zheng, Chaozhuo Li*, Chun-Ta Lu, Jiawei Zhang, Philip S Yu, Deep distribution network: Addressing the data sparsity issue for top-n recommendation, Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)
  8. [ASOC] 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, Applied Soft Computing.
  9. [KBS] Feiran Huang, Xiaoming Zhang, Jie Xu, Chaozhuo Li, Zhoujun Li, Network embedding by fusing multimodal contents and links, Knowledge-Based Systems. (CCF-C, Top期刊)
  10. [AAAI] 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. (CCF-A)

2018

  1. [ICDM] Chaozhuo Li, Senzhang Wang, Lifang He, S Yu Philip, Yanbo Liang, Zhoujun Li, SSDMV: Semi-supervised deep social spammer detection by multi-view data fusion, 2018 IEEE International Conference on Data Mining (ICDM). (CCF-B)
  2. [CIKM] Yanbo Liang, Yongyang Yu, Mingjie Tang, Chaozhuo Li, Weiqing Yang, Weichen Xu, Ruifeng Zheng, Optimizing generalized linear models with billions of variables, Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (CCF-B)
  3. [CIKM] Chaozhuo Li, Senzhang Wang, Philip S Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang, Distribution distance minimization for unsupervised user identity linkage, Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (CCF-B)
  4. [ICMR] Feiran Huang, Xiaoming Zhang, Chaozhuo Li, Zhoujun Li, Yueying He, Zhonghua Zhao, Multimodal network embedding via attention based multi-view variational autoencoder, Proceedings of the 2018 ACM on international conference on multimedia retrieval. (CCF-B)

2017

  1. [CIKM] Dejian Yang, Senzhang Wang, Chaozhuo Li#, Xiaoming Zhang, Zhoujun Li, From properties to links: Deep network embedding on incomplete graphs, Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. (CCF-B)
  2. [WISE] Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao, DTRP: a flexible deep framework for travel route planning, Web Information Systems Engineering–WISE 2017. (CCF-C)
  3. [DASFAA] Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou, Semi-supervised network embedding, Database Systems for Advanced Applications: 22nd International Conference. (CCF-B).
  4. [DASFAA] Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou, PPNE: property preserving network embedding, Database Systems for Advanced Applications: 22nd International Conference. (CCF-B)

2016

  1. [COLING] Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou, Detecting context dependent messages in a conversational environment, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics. (CCF-B)

2015

  1. [WISE] Chaozhuo Li, Fang Wang, Yang Yang, Zhoujun Li, Xiaoming Zhang, Exploring social network information for solving cold start in product recommendation, Web Information Systems Engineering–WISE 2015. (CCF-C)