Qi Cao

94 papers A* 15A 8B 1Journal 53Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A* conf
AuditAgent: LLM Agent for Risks Auditing in Recommender Systems.
AAAI
Du Su, Zhenxing Chen, Shilong Zhao, Yuanhao Liu, Fei Sun, Qi Cao, Huawei Shen
2026 A* conf
Interaction-level Membership Inference Attack for Recommender Systems via Cluster-based User Modeling.
WWW
Danyang Zong, Kaike Zhang, Qi Cao, Du Su, Fei Sun
2026 J jnl
Robust Recommender System: A Survey and Future Directions.
ACM Comput. Surv.
Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng
2026 J jnl
The answer lies within: Detecting Trojans from DNNs' inherent characteristics.
Neural Networks
Xuchao Liu, Qi Cao, Kaike Zhang, Du Su, Huawei Shen
2025 J jnl
'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems.
Proc. ACM Hum. Comput. Interact.
Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng
2025 J jnl
AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation.
CoRR
Kaike Zhang, Qi Cao, Fei Sun, Xinran Liu
2025 — conf
Data Usage Privacy Auditing for Semi-supervised GNNs.
SIGIR-AP
Yang Li, Kaike Zhang, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen
2025 J jnl
Fine-tuning Done Right in Model Editing.
CoRR
Wanli Yang, Fei Sun, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng
2025 J jnl
From Generation to Consumption: Personalized List Value Estimation for Re-ranking.
CoRR
Kaike Zhang, Xiaobei Wang, Xiaoyu Yang, Shuchang Liu, Hailan Yang, Xiang Li, Fei Sun, Qi Cao
2025 — conf
GDA: Graph Distance Autoencoder for Label-only Membership Inference Attack on GNNs.
SIGIR-AP
Yang Li, Yunfan Wu, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen
2025 J jnl
GoalRank: Group-Relative Optimization for a Large Ranking Model.
CoRR
Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai
2025 — conf
Low-Entropy Watermark Detection via Bayes' Rule Derived Detector.
ACL (Findings)
Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng
2025 A* conf
Personalized Denoising Implicit Feedback for Robust Recommender System.
WWW
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2025 J jnl
Personalized Denoising Implicit Feedback for Robust Recommender System.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2025 J jnl
Report on the 1st Workshop on Human-Centered Recommender Systems (HCRS 2025) at TheWebConf 2025.
SIGIR Forum
Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2025 — conf
The 1st Workshop on Human-Centered Recommender Systems.
WWW (Companion Volume)
Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2025 J jnl
The 2nd Workshop on Human-Centered Recommender Systems.
CoRR
Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun
2025 — conf
The Mirage of Model Editing: Revisiting Evaluation in the Wild.
ACL (1)
Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
2025 J jnl
The Mirage of Model Editing: Revisiting Evaluation in the Wild.
CoRR
Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
2025 A* conf
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.
EMNLP
Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2025 J jnl
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.
CoRR
Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2024 A conf
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems.
RecSys
Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen
2024 J jnl
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems.
CoRR
Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen
2024 — conf
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
ACL (1)
Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng
2024 J jnl
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA?
CoRR
Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng
2024 J jnl
Graph Adversarial Immunization for Certifiable Robustness.
IEEE Trans. Knowl. Data Eng.
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng
2024 — conf
History Driven Sampling for Scalable Graph Neural Networks.
DASFAA (6)
Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng
2024 J jnl
IDEA: Invariant defense for graph adversarial robustness.
Inf. Sci.
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
2024 J jnl
Identity-Preserving Adversarial Training for Robust Network Embedding.
J. Comput. Sci. Technol.
Keting Cen, Hua-Wei Shen, Qi Cao, Bing-Bing Xu, Xueqi Cheng
2024 A conf
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.
RecSys
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 A* conf
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation.
SIGIR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 — conf
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks.
EMNLP (Findings)
Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen
2024 J jnl
The 1st Workshop on Human-Centered Recommender Systems.
CoRR
Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2024 J jnl
Towards generalizable Graph Contrastive Learning: An information theory perspective.
Neural Networks
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2024 A* conf
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.
NeurIPS
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 — conf
When to Trust LLMs: Aligning Confidence with Response Quality.
ACL (Findings)
Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2024 J jnl
When to Trust LLMs: Aligning Confidence with Response Quality.
CoRR
Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2023 — conf
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.
DASFAA (2)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
2023 J jnl
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.
CoRR
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
2023 J jnl
Adversarial camouflage for node injection attack on graphs.
Inf. Sci.
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng
2023 A* conf
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.
NeurIPS
Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng
2023 A* conf
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.
KDD
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2023 J jnl
Graph Adversarial Immunization for Certifiable Robustness.
CoRR
Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, Xueqi Cheng
2023 J jnl
IDEA: Invariant Causal Defense for Graph Adversarial Robustness.
CoRR
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
2023 A* conf
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification.
KDD
Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen
2023 J jnl
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation.
Inf. Process. Manag.
Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng
2023 A* conf
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering.
SIGIR
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng
2023 J jnl
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering.
CoRR
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng
2023 J jnl
Robust Recommender System: A Survey and Future Directions.
CoRR
Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng
2023 — conf
Simple Multi-view Can Bring Powerful Graph Neural Network.
WWW (Companion Volume)
Bingbing Xu, Yang Li, Qi Cao, Huawei Shen
2023 J jnl
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction.
CoRR
Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng
2023 J jnl
What makes a successful rebuttal in computer science conferences?: A perspective on social interaction.
J. Informetrics
Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng
2022 J jnl
Adversarial Camouflage for Node Injection Attack on Graphs.
CoRR
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng
2022 J jnl
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.
CoRR
Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng
2022 A* conf
Conditional GANs with Auxiliary Discriminative Classifier.
ICML
Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng
2022 J jnl
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.
CoRR
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2022 J jnl
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network.
CoRR
Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen
2022 A* conf
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering.
SIGIR
Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng
2022 J jnl
Location-aware convolutional neural networks for graph classification.
Neural Networks
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng
2022 — conf
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction.
WWW (Companion Volume)
Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng
2022 — conf
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman.
LoG
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng
2022 J jnl
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective.
CoRR
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2022 B conf
Towards Powerful Graph Contrastive Learning without Negative Examples.
IJCNN
Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng
2022 J jnl
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification.
CoRR
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng
2021 A conf
Adversarial Immunization for Certifiable Robustness on Graphs.
WSDM
Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng
2021 A conf
How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising.
ICWSM
Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng
2021 J jnl
Inductive Representation Based Graph Convolution Network for Collaborative Filtering.
CoRR
Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng
2021 J jnl
Learning diffusion model-free and efficient influence function for influence maximization from information cascades.
Knowl. Inf. Syst.
Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng
2021 J jnl
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction.
CoRR
Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng
2021 A* conf
Self-Supervised GANs with Label Augmentation.
NeurIPS
Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng
2021 J jnl
Self-supervised GANs with Label Augmentation.
CoRR
Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng
2021 A conf
Signed Bipartite Graph Neural Networks.
CIKM
Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng
2021 J jnl
Signed Bipartite Graph Neural Networks.
CoRR
Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng
2021 A conf
Single Node Injection Attack against Graph Neural Networks.
CIKM
Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng
2021 J jnl
Single Node Injection Attack against Graph Neural Networks.
CoRR
Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng
2021 A* conf
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field.
AAAI
Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng
2021 J jnl
cGANs with Auxiliary Discriminative Classifier.
CoRR
Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng
2020 J jnl
Adversarial Immunization for Improving Certifiable Robustness on Graphs.
CoRR
Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng
2020 J jnl
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.
CoRR
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
2020 — conf
GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks.
BigComp
Rong Yan, Huawei Shen, Qi Cao, Keting Cen, Li Wang
2020 J jnl
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising.
CoRR
Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng
2020 A conf
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks.
WSDM
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
2019 J jnl
A Graph Auto-Encoder for Attributed Network Embedding.
CoRR
Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng
2019 J jnl
Coupled Graph Neural Networks for Predicting the Popularity of Online Content.
CoRR
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
2019 A* conf
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.
IJCAI
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
2019 — conf
Graph Wavelet Neural Network.
ICLR (Poster)
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
2019 J jnl
Graph Wavelet Neural Network.
CoRR
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
2019 — conf
Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias.
CCIR
Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng
2019 J jnl
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.
Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen
2017 A conf
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades.
CIKM
Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng
2017 — conf
Predicting the Popularity of Online Content with Group-specific Models.
WWW (Companion Volume)
Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng