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Qi Cao 0005
Person information
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation (PhD 2020): University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Qi Cao — disambiguation page
- Qi Cao 0001
— Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China (and 1 more) - Qi Cao 0002
— University of Glasgow, UK (and 1 more) - Qi Cao 0003
— Xidian University, School of Telecommunications Engineering, Xidian-Guangzhou Research Institute, Guangzhou, China (and 2 more) - Qi Cao 0004
— Sichuan University, School of Cyber Science and Engineering, College of Cybersecurity, Chengdu, China - Qi Cao 0006 — Hiroshima University, Department of Information Engineering, Japan
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2020 – today
- 2025
[j11]Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng:
'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems. Proc. ACM Hum. Comput. Interact. 9(7): 1-38 (2025)
[c36]Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng:
Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. ACL (Findings) 2025: 14330-14344
[c35]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng:
The Mirage of Model Editing: Revisiting Evaluation in the Wild. ACL (1) 2025: 15336-15354
[c34]Kaike Zhang
, Yunfan Wu
, Yougang Lyu
, Du Su
, Yingqiang Ge
, Shuchang Liu
, Qi Cao
, Zhaochun Ren
, Fei Sun
:
The 1st Workshop on Human-Centered Recommender Systems. WWW (Companion Volume) 2025: 2088-2091
[c33]Kaike Zhang
, Qi Cao
, Yunfan Wu
, Fei Sun
, Huawei Shen
, Xueqi Cheng
:
Personalized Denoising Implicit Feedback for Robust Recommender System. WWW 2025: 4470-4481
[i37]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Personalized Denoising Implicit Feedback for Robust Recommender System. CoRR abs/2502.00348 (2025)
[i36]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng:
The Mirage of Model Editing: Revisiting Evaluation in the Wild. CoRR abs/2502.11177 (2025)
[i35]Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. CoRR abs/2505.17656 (2025)
[i34]Kaike Zhang, Xiaobei Wang, Xiaoyu Yang, Shuchang Liu, Hailan Yang, Xiang Li, Fei Sun, Qi Cao:
From Generation to Consumption: Personalized List Value Estimation for Re-ranking. CoRR abs/2508.02242 (2025)
[i33]Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai:
GoalRank: Group-Relative Optimization for a Large Ranking Model. CoRR abs/2509.22046 (2025)
[i32]Wanli Yang, Fei Sun, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng:
Fine-tuning Done Right in Model Editing. CoRR abs/2509.22072 (2025)- 2024
[j10]Shuchang Tao
, Qi Cao, Huawei Shen, Yunfan Wu
, Bingbing Xu
, Xueqi Cheng:
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680: 121171 (2024)
[j9]Keting Cen, Hua-Wei Shen, Qi Cao, Bing-Bing Xu
, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024)
[j8]Yige Yuan
, Bingbing Xu
, Huawei Shen, Qi Cao, Keting Cen
, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024)
[j7]Shuchang Tao
, Qi Cao
, Huawei Shen
, Yunfan Wu
, Liang Hou
, Xueqi Cheng
:
Graph Adversarial Immunization for Certifiable Robustness. IEEE Trans. Knowl. Data Eng. 36(4): 1597-1610 (2024)
[c32]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) 2024: 5984-5996
[c31]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL (1) 2024: 6207-6227
[c30]Yang Li
, Bingbing Xu
, Fei Sun
, Qi Cao
, Yige Yuan
, Huawei Shen
, Xueqi Cheng
:
History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) 2024: 364-374
[c29]Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen:
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. EMNLP (Findings) 2024: 5837-5849
[c28]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. NeurIPS 2024
[c27]Kaike Zhang
, Qi Cao
, Yunfan Wu
, Fei Sun
, Huawei Shen
, Xueqi Cheng
:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. RecSys 2024: 680-689
[c26]Yunfan Wu
, Qi Cao
, Shuchang Tao
, Kaike Zhang
, Fei Sun
, Huawei Shen
:
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. RecSys 2024: 701-711
[c25]Kaike Zhang
, Qi Cao
, Yunfan Wu
, Fei Sun
, Huawei Shen
, Xueqi Cheng
:
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR 2024: 1733-1742
[i31]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? CoRR abs/2401.11911 (2024)
[i30]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. CoRR abs/2401.17723 (2024)
[i29]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. CoRR abs/2404.17287 (2024)
[i28]Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen:
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. CoRR abs/2408.10666 (2024)
[i27]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. CoRR abs/2409.17476 (2024)
[i26]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. CoRR abs/2410.22844 (2024)
[i25]Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun:
The 1st Workshop on Human-Centered Recommender Systems. CoRR abs/2411.14760 (2024)- 2023
[j6]Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng:
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60(4): 103403 (2023)
[j5]Shuchang Tao
, Qi Cao, Huawei Shen, Yunfan Wu
, Liang Hou, Fei Sun
, Xueqi Cheng:
Adversarial camouflage for node injection attack on graphs. Inf. Sci. 649: 119611 (2023)
[j4]Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng:
What makes a successful rebuttal in computer science conferences?: A perspective on social interaction. J. Informetrics 17(3): 101427 (2023)
[c24]Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) 2023: 373-388
[c23]Kaike Zhang
, Qi Cao
, Gaolin Fang
, Bingbing Xu
, Hongjian Zou
, Huawei Shen
, Xueqi Cheng
:
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. KDD 2023: 3309-3320
[c22]Wen Zheng
, Bingbing Xu
, Emiao Lu
, Yang Li
, Qi Cao
, Xuan Zong
, Huawei Shen
:
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. KDD 2023: 5685-5694
[c21]Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng:
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. NeurIPS 2023
[c20]Yuanhao Liu
, Qi Cao
, Huawei Shen
, Yunfan Wu
, Shuchang Tao
, Xueqi Cheng
:
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. SIGIR 2023: 1801-1805
[c19]Bingbing Xu
, Yang Li
, Qi Cao
, Huawei Shen
:
Simple Multi-view Can Bring Powerful Graph Neural Network. WWW (Companion Volume) 2023: 322-325
[i24]Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR abs/2302.02317 (2023)
[i23]Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. CoRR abs/2302.08051 (2023)
[i22]Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng:
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. CoRR abs/2305.05204 (2023)
[i21]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu
, Xueqi Cheng:
IDEA: Invariant Causal Defense for Graph Adversarial Robustness. CoRR abs/2305.15792 (2023)
[i20]Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng:
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction. CoRR abs/2307.03371 (2023)
[i19]Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng:
Robust Recommender System: A Survey and Future Directions. CoRR abs/2309.02057 (2023)- 2022
[j3]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu
, Keting Cen, Xueqi Cheng:
Location-aware convolutional neural networks for graph classification. Neural Networks 155: 74-83 (2022)
[c18]Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Conditional GANs with Auxiliary Discriminative Classifier. ICML 2022: 8888-8902
[c17]Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu
, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN 2022: 1-9
[c16]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng:
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. LoG 2022: 17
[c15]Yunfan Wu
, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. SIGIR 2022: 91-101
[c14]Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. WWW (Companion Volume) 2022: 243-247
[i18]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu
, Xueqi Cheng:
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR abs/2203.11683 (2022)
[i17]Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. CoRR abs/2205.15677 (2022)
[i16]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Adversarial Camouflage for Node Injection Attack on Graphs. CoRR abs/2208.01819 (2022)
[i15]Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu
, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. CoRR abs/2210.10592 (2022)
[i14]Yang Li, Bingbing Xu
, Qi Cao, Yige Yuan, Huawei Shen:
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. CoRR abs/2211.09813 (2022)
[i13]Yige Yuan, Bingbing Xu
, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR abs/2211.10929 (2022)- 2021
[j2]Qi Cao
, Huawei Shen
, Jinhua Gao, Xueqi Cheng:
Learning diffusion model-free and efficient influence function for influence maximization from information cascades. Knowl. Inf. Syst. 63(5): 1173-1196 (2021)
[c13]Bingbing Xu
, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng:
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. AAAI 2021: 4537-4545
[c12]Junjie Huang, Huawei Shen, Qi Cao
, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CIKM 2021: 740-749
[c11]Shuchang Tao
, Qi Cao
, Huawei Shen, Junjie Huang, Yunfan Wu
, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CIKM 2021: 1794-1803
[c10]Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. ICWSM 2021: 220-229
[c9]Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-Supervised GANs with Label Augmentation. NeurIPS 2021: 13019-13031
[c8]Shuchang Tao, Huawei Shen, Qi Cao
, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Certifiable Robustness on Graphs. WSDM 2021: 698-706
[i12]Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-supervised GANs with Label Augmentation. CoRR abs/2106.08601 (2021)
[i11]Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
Inductive Representation Based Graph Convolution Network for Collaborative Filtering. CoRR abs/2107.05247 (2021)
[i10]Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng:
cGANs with Auxiliary Discriminative Classifier. CoRR abs/2107.10060 (2021)
[i9]Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. CoRR abs/2108.06220 (2021)
[i8]Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CoRR abs/2108.09638 (2021)
[i7]Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CoRR abs/2108.13049 (2021)- 2020
[c7]Rong Yan, Huawei Shen, Qi Cao
, Keting Cen, Li Wang:
GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. BigComp 2020: 315-322
[c6]Qi Cao
, Huawei Shen, Jinhua Gao, Bingzheng Wei
, Xueqi Cheng:
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. WSDM 2020: 70-78
[i6]Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Improving Certifiable Robustness on Graphs. CoRR abs/2007.09647 (2020)
[i5]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR abs/2007.16002 (2020)
[i4]Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising. CoRR abs/2011.13608 (2020)
2010 – 2019
- 2019
[j1]Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu
, Keting Cen, Huawei Shen
:
User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. Data Intell. 1(2): 137-159 (2019)
[c5]Jiangli Shao
, Huawei Shen, Qi Cao
, Xueqi Cheng:
Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. CCIR 2019: 135-147
[c4]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. ICLR (Poster) 2019
[c3]Bingbing Xu
, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI 2019: 1928-1934
[i3]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu
, Xueqi Cheng:
Graph Wavelet Neural Network. CoRR abs/1904.07785 (2019)
[i2]Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019)
[i1]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Coupled Graph Neural Networks for Predicting the Popularity of Online Content. CoRR abs/1906.09032 (2019)- 2017
[c2]Qi Cao
, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng:
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. CIKM 2017: 1149-1158
[c1]Qi Cao
, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng:
Predicting the Popularity of Online Content with Group-specific Models. WWW (Companion Volume) 2017: 765-766
Coauthor Index
aka: Hua-Wei Shen

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