Qi Cao - RankMe

94 papers A* 15A 8B 1Journal 53Unranked 17

Year	Rank	Type	Title / 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