Qi Cao

According to our database, Qi Cao authored at least 65 papers between 2017 and 2025.

Collaborative distances:

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

2025

Fine-tuning Done Right in Model Editing.

Wanli Yang, Fei Sun, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng

CoRR, September, 2025

GoalRank: Group-Relative Optimization for a Large Ranking Model.

Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai

CoRR, September, 2025

From Generation to Consumption: Personalized List Value Estimation for Re-ranking.

Kaike Zhang, Xiaobei Wang, Xiaoyu Yang, Shuchang Liu, Hailan Yang, Xiang Li, Fei Sun, Qi Cao

CoRR, August, 2025

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.

Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng

CoRR, May, 2025

The 1st Workshop on Human-Centered Recommender Systems.

Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Personalized Denoising Implicit Feedback for Robust Recommender System.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the ACM on Web Conference 2025, 2025

The Mirage of Model Editing: Revisiting Evaluation in the Wild.

Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Low-Entropy Watermark Detection via Bayes' Rule Derived Detector.

Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Graph Adversarial Immunization for Certifiable Robustness.

Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng

IEEE Trans. Knowl. Data Eng., April, 2024

Identity-Preserving Adversarial Training for Robust Network Embedding.

Keting Cen, Hua-Wei Shen, Qi Cao, Bing-Bing Xu, Xueqi Cheng

J. Comput. Sci. Technol., March, 2024

Towards generalizable Graph Contrastive Learning: An information theory perspective.

Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng

Neural Networks, 2024

IDEA: Invariant defense for graph adversarial robustness.

Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng

Inf. Sci., 2024

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

CoRR, 2024

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA?

Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng

CoRR, 2024

LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems.

Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.

Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks.

Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

History Driven Sampling for Scalable Graph Neural Networks.

Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng

Proceedings of the Database Systems for Advanced Applications, 2024

When to Trust LLMs: Aligning Confidence with Response Quality.

Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?

Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Adversarial camouflage for node injection attack on graphs.

Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng

Inf. Sci., November, 2023

What makes a successful rebuttal in computer science conferences?: A perspective on social interaction.

Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng

J. Informetrics, August, 2023

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation.

Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng

Inf. Process. Manag., 2023

Robust Recommender System: A Survey and Future Directions.

Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng

CoRR, 2023

IDEA: Invariant Causal Defense for Graph Adversarial Robustness.

Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng

CoRR, 2023

Simple Multi-view Can Bring Powerful Graph Neural Network.

Bingbing Xu, Yang Li, Qi Cao, Huawei Shen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Popularity Debiasing from Exposure to Interaction in Collaborative Filtering.

Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng

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

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.

Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng

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

MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification.

Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen

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

DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.

Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng

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

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.

Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Location-aware convolutional neural networks for graph classification.

Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng

Neural Networks, 2022

Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network.

Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen

CoRR, 2022

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.

Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng

CoRR, 2022

Adversarial Camouflage for Node Injection Attack on Graphs.

Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng

CoRR, 2022

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.

Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

CoRR, 2022

Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification.

Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng

CoRR, 2022

PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction.

Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering.

Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng

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

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman.

Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng

Proceedings of the Learning on Graphs Conference, 2022

Towards Powerful Graph Contrastive Learning without Negative Examples.

Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng

Proceedings of the International Joint Conference on Neural Networks, 2022

Conditional GANs with Auxiliary Discriminative Classifier.

Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning diffusion model-free and efficient influence function for influence maximization from information cascades.

Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng

Knowl. Inf. Syst., 2021

Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction.

Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng

CoRR, 2021

cGANs with Auxiliary Discriminative Classifier.

Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng

CoRR, 2021

Inductive Representation Based Graph Convolution Network for Collaborative Filtering.

Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng

CoRR, 2021

Adversarial Immunization for Certifiable Robustness on Graphs.

Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng

Proceedings of the WSDM '21, 2021

Self-Supervised GANs with Label Augmentation.

Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng

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

How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising.

Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Single Node Injection Attack against Graph Neural Networks.

Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng

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

Signed Bipartite Graph Neural Networks.

Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng

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

Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field.

Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Immunization for Improving Certifiable Robustness on Graphs.

Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng

CoRR, 2020

Popularity Prediction on Social Platforms with Coupled Graph Neural Networks.

Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks.

Rong Yan, Huawei Shen, Qi Cao, Keting Cen, Li Wang

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

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.

Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen

Data Intell., 2019

Coupled Graph Neural Networks for Predicting the Popularity of Online Content.

Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng

CoRR, 2019

A Graph Auto-Encoder for Attributed Network Embedding.

Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng

CoRR, 2019

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.

Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Wavelet Neural Network.

Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng

Proceedings of the 7th International Conference on Learning Representations, 2019

Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias.

Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng

Proceedings of the Information Retrieval - 25th China Conference, 2019

2017

Predicting the Popularity of Online Content with Group-specific Models.

Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades.

Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng

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