DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. - Qi Cao 005; Huawei Shen; Keting Cen; Wentao Ouyang; Xueqi Cheng (CIKM, 2017)

Predicting the Popularity of Online Content with Group-specific Models. - Qi Cao 005; Huawei Shen; Hao Gao 009; Jinhua Gao; Xueqi Cheng (WWW (Companion Volume), 2017)

Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. - Jiangli Shao; Huawei Shen; Qi Cao 005; Xueqi Cheng (CCIR, 2019)

Graph Wavelet Neural Network. - Bingbing Xu 001; Huawei Shen; Qi Cao 005; Yunqi Qiu; Xueqi Cheng (ICLR (Poster), 2019)

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. - Bingbing Xu 001; Huawei Shen; Qi Cao 005; Keting Cen; Xueqi Cheng (IJCAI, 2019)

A Graph Auto-Encoder for Attributed Network Embedding. - Keting Cen; Huawei Shen; Jinhua Gao; Qi Cao 005; Bingbing Xu 001; Xueqi Cheng (CoRR, 2019)

Coupled Graph Neural Networks for Predicting the Popularity of Online Content. - Qi Cao 005; Huawei Shen; Jinhua Gao; Bingzheng Wei; Xueqi Cheng (CoRR, 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 009; Qi Cao 005; Xinyu Yue; Bingbing Xu 001; Keting Cen; Huawei Shen (Data Intell., 2019)

GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. - Rong Yan; Huawei Shen; Qi Cao 005; Keting Cen; Li Wang (BigComp, 2020)

Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. - Qi Cao 005; Huawei Shen; Jinhua Gao; Bingzheng Wei; Xueqi Cheng (WSDM, 2020)

Adversarial Immunization for Improving Certifiable Robustness on Graphs. - Shuchang Tao; Huawei Shen; Qi Cao 005; Liang Hou; Xueqi Cheng (CoRR, 2020)

Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. - Bingbing Xu 001; Huawei Shen; Bing-Jie Sun; Rong An; Qi Cao 005; Xueqi Cheng (AAAI, 2021)

Signed Bipartite Graph Neural Networks. - Junjie Huang; Huawei Shen; Qi Cao 005; Shuchang Tao; Xueqi Cheng (CIKM, 2021)

Single Node Injection Attack against Graph Neural Networks. - Shuchang Tao; Qi Cao 005; Huawei Shen; Junjie Huang; Yunfan Wu; Xueqi Cheng (CIKM, 2021)

How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. - Junjie Huang; Huawei Shen; Qi Cao 005; Li Cai; Xueqi Cheng (ICWSM, 2021)

Self-Supervised GANs with Label Augmentation. - Liang Hou; Huawei Shen; Qi Cao 005; Xueqi Cheng (NeurIPS, 2021)

Adversarial Immunization for Certifiable Robustness on Graphs. - Shuchang Tao; Huawei Shen; Qi Cao 005; Liang Hou; Xueqi Cheng (WSDM, 2021)

Inductive Representation Based Graph Convolution Network for Collaborative Filtering. - Yunfan Wu; Qi Cao 005; Huawei Shen; Shuchang Tao; Xueqi Cheng (CoRR, 2021)

cGANs with Auxiliary Discriminative Classifier. - Liang Hou; Qi Cao 005; Huawei Shen; Xueqi Cheng (CoRR, 2021)

Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. - Qi Cao 005; Huawei Shen; Yuanhao Liu; Jinhua Gao; Xueqi Cheng (CoRR, 2021)

Learning diffusion model-free and efficient influence function for influence maximization from information cascades. - Qi Cao 005; Huawei Shen; Jinhua Gao; Xueqi Cheng (Knowl. Inf. Syst., 2021)

Conditional GANs with Auxiliary Discriminative Classifier. - Liang Hou; Qi Cao 005; Huawei Shen; Siyuan Pan; Xiaoshuang Li; Xueqi Cheng (ICML, 2022)

Towards Powerful Graph Contrastive Learning without Negative Examples. - Keting Cen; Huawei Shen; Qi Cao 005; Bingbing Xu 001; Xueqi Cheng (IJCNN, 2022)

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. - Zhaohui Wang; Qi Cao 005; Huawei Shen; Bingbing Xu 001; Muhan Zhang; Xueqi Cheng (LoG, 2022)

INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. - Yunfan Wu; Qi Cao 005; Huawei Shen; Shuchang Tao; Xueqi Cheng (SIGIR, 2022)

PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. - Qi Cao 005; Huawei Shen; Yuanhao Liu; Jinhua Gao; Xueqi Cheng (WWW (Companion Volume), 2022)

Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. - Zhaohui Wang; Qi Cao 005; Huawei Shen; Bingbing Xu 001; Xueqi Cheng (CoRR, 2022)

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. - Liang Hou; Qi Cao 005; Huawei Shen; Siyuan Pan; Xiaoshuang Li; Xueqi Cheng (CoRR, 2022)

Adversarial Camouflage for Node Injection Attack on Graphs. - Shuchang Tao; Qi Cao 005; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng (CoRR, 2022)

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. - Kaike Zhang; Qi Cao 005; Gaolin Fang; Bingbing Xu 001; Hongjian Zou; Huawei Shen; Xueqi Cheng (CoRR, 2022)

Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. - Yang Li 202; Bingbing Xu 001; Qi Cao 005; Yige Yuan; Huawei Shen (CoRR, 2022)

Location-aware convolutional neural networks for graph classification. - Zhaohui Wang; Qi Cao 005; Huawei Shen; Bingbing Xu 001; Keting Cen; Xueqi Cheng (Neural Networks, 2022)

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. - Junjie Huang; Qi Cao 005; Ruobing Xie; Shaoliang Zhang; Feng Xia 006; Huawei Shen; Xueqi Cheng (DASFAA (2), 2023)

DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. - Kaike Zhang; Qi Cao 005; Gaolin Fang; Bingbing Xu 001; Hongjian Zou; Huawei Shen; Xueqi Cheng (KDD, 2023)

MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. - Wen Zheng; Bingbing Xu 001; Emiao Lu; Yang Li 202; Qi Cao 005; Xuan Zong 001; Huawei Shen (KDD, 2023)

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. - Liang Hou; Qi Cao 005; Yige Yuan; Songtao Zhao; Chongyang Ma; Siyuan Pan; Pengfei Wan 001; Zhongyuan Wang; Huawei Shen; Xueqi Cheng (NeurIPS, 2023)

Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. - Yuanhao Liu; Qi Cao 005; Huawei Shen; Yunfan Wu; Shuchang Tao; Xueqi Cheng (SIGIR, 2023)

Simple Multi-view Can Bring Powerful Graph Neural Network. - Bingbing Xu 001; Yang Li 202; Qi Cao 005; Huawei Shen (WWW (Companion Volume), 2023)

IDEA: Invariant Causal Defense for Graph Adversarial Robustness. - Shuchang Tao; Qi Cao 005; Huawei Shen; Yunfan Wu; Bingbing Xu 001; Xueqi Cheng (CoRR, 2023)

Robust Recommender System: A Survey and Future Directions. - Kaike Zhang; Qi Cao 005; Fei Sun 001; Yunfan Wu; Shuchang Tao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. - Junjie Huang; Ruobing Xie; Qi Cao 005; Huawei Shen; Shaoliang Zhang; Feng Xia 006; Xueqi Cheng (Inf. Process. Manag., 2023)

What makes a successful rebuttal in computer science conferences?: A perspective on social interaction. - Junjie Huang; Win-Bin Huang; Yi Bu 001; Qi Cao 005; Huawei Shen; Xueqi Cheng (J. Informetrics, 2023)

Adversarial camouflage for node injection attack on graphs. - Shuchang Tao; Qi Cao 005; Huawei Shen; Yunfan Wu; Liang Hou; Fei Sun 001; Xueqi Cheng (Inf. Sci., 2023)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? - Hexiang Tan; Fei Sun 001; Wanli Yang; Yuanzhuo Wang; Qi Cao 005; Xueqi Cheng (ACL (1), 2024)

When to Trust LLMs: Aligning Confidence with Response Quality. - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao 005; Fei Sun 001; Jinyang Gao; Huawei Shen; Bolin Ding (ACL (Findings), 2024)

History Driven Sampling for Scalable Graph Neural Networks. - Yang Li 202; Bingbing Xu 001; Fei Sun 001; Qi Cao 005; Yige Yuan; Huawei Shen; Xueqi Cheng (DASFAA (6), 2024)

PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. - Yu Chen; Qi Cao 005; Kaike Zhang; Xuchao Liu; Huawei Shen (EMNLP (Findings), 2024)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. - Kaike Zhang; Qi Cao 005; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (NeurIPS, 2024)

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. - Yunfan Wu; Qi Cao 005; Shuchang Tao; Kaike Zhang; Fei Sun 001; Huawei Shen (RecSys, 2024)

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. - Kaike Zhang; Qi Cao 005; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (RecSys, 2024)

LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. - Kaike Zhang; Qi Cao 005; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? - Hexiang Tan; Fei Sun 001; Wanli Yang; Yuanzhuo Wang; Qi Cao 005; Xueqi Cheng (CoRR, 2024)

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. - Kaike Zhang; Qi Cao 005; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

IDEA: Invariant defense for graph adversarial robustness. - Shuchang Tao; Qi Cao 005; Huawei Shen; Yunfan Wu; Bingbing Xu 001; Xueqi Cheng (Inf. Sci., 2024)

Towards generalizable Graph Contrastive Learning: An information theory perspective. - Yige Yuan; Bingbing Xu 001; Huawei Shen; Qi Cao 005; Keting Cen; Wen Zheng; Xueqi Cheng (Neural Networks, 2024)

Identity-Preserving Adversarial Training for Robust Network Embedding. - Keting Cen; Hua-Wei Shen; Qi Cao 005; Bing-Bing Xu 001; Xueqi Cheng (J. Comput. Sci. Technol., 2024)

Graph Adversarial Immunization for Certifiable Robustness. - Shuchang Tao; Qi Cao 005; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2024)

Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. - Beining Huang; Du Su; Fei Sun 001; Qi Cao 005; Huawei Shen; Xueqi Cheng (ACL (Findings), 2025)

The Mirage of Model Editing: Revisiting Evaluation in the Wild. - Wanli Yang; Fei Sun 001; Jiajun Tan; Xinyu Ma; Qi Cao 005; Dawei Yin; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

Personalized Denoising Implicit Feedback for Robust Recommender System. - Kaike Zhang; Qi Cao 005; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (WWW, 2025)

The 1st Workshop on Human-Centered Recommender Systems. - Kaike Zhang; Yunfan Wu; Yougang Lyu; Du Su; Yingqiang Ge; Shuchang Liu 001; Qi Cao 005; Zhaochun Ren; Fei Sun 001 (WWW (Companion Volume), 2025)

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. - Hexiang Tan; Fei Sun 001; Sha Liu; Du Su; Qi Cao 005; Xin Chen; Jingang Wang; Xunliang Cai; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (CoRR, 2025)

From Generation to Consumption: Personalized List Value Estimation for Re-ranking. - Kaike Zhang; Xiaobei Wang; Xiaoyu Yang; Shuchang Liu 001; Hailan Yang; Xiang Li 189; Fei Sun 001; Qi Cao 005 (CoRR, 2025)

GoalRank: Group-Relative Optimization for a Large Ranking Model. - Kaike Zhang; Xiaobei Wang; Shuchang Liu 001; Hailan Yang; Xiang Li 189; Lantao Hu; Han Li 005; Qi Cao 005; Fei Sun 001; Kun Gai (CoRR, 2025)

Fine-tuning Done Right in Model Editing. - Wanli Yang; Fei Sun 001; Rui Tang; Hongyu Zang; Du Su; Qi Cao 005; Jingang Wang; Huawei Shen; Xueqi Cheng (CoRR, 2025)