Shen, Huawei

32 publications

ICLR 2025 A Theory for Token-Level Harmonization in Retrieval-Augmented Generation Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

ECML-PKDD 2025 BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng

ICLR 2025 Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng

ICLR 2025 Everything Is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

NeurIPS 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLRW 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLRW 2024 AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng

AAAI 2024 PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

CVPR 2024 TEA: Test-Time Energy Adaptation Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

AAAI 2024 Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou

NeurIPS 2024 Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

AAAI 2023 A Provable Framework of Learning Graph Embeddings via Summarization Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

NeurIPS 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

ICML 2022 Conditional GANs with Auxiliary Discriminative Classifier Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

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

AAAI 2021 AugSplicing: Synchronized Behavior Detection in Streaming Tensors Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng

AAAI 2021 Beyond Low-Frequency Information in Graph Convolutional Networks Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

AAAI 2021 SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng

NeurIPS 2021 Self-Supervised GANs with Label Augmentation Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng

AAAI 2021 Slimmable Generative Adversarial Networks Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang

AAAI 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

ECML-PKDD 2020 SpecGreedy: Unified Dense Subgraph Detection Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

IJCAI 2019 Graph Convolutional Networks Using Heat Kernel for Semi-Supervised Learning Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng

ICLR 2019 Graph Wavelet Neural Network Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng

IJCAI 2018 Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng

AAAI 2018 Towards Efficient Detection of Overlapping Communities in Massive Networks Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng

IJCAI 2017 Cascade Dynamics Modeling with Attention-Based Recurrent Neural Network Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng

IJCAI 2017 Cross-Domain Recommendation: An Embedding and Mapping Approach Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng

IJCAI 2017 Learning Concise Representations of Users' Influences Through Online Behaviors Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao

IJCAI 2016 Predict Anchor Links Across Social Networks via an Embedding Approach Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng

AAAI 2015 Learning User-Specific Latent Influence and Susceptibility from Information Cascades Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng

IJCAI 2011 Multi-Select Faceted Navigation Based on Minimum Description Length Principle Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen