Huawei Shen

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 246

Top Venues

Publications

Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng
Stable Knowledge Editing in Large Language Models. CoRR (2024)
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR (2024)
Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen
BCC: Bidirectional Consistency Constraint Method for Hierarchical Text Classification. ICASSP (2024)
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. CoRR (2024)
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR (2024)
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR (2024)
Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172 (2024)
Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. CoRR (2024)
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42 (5) (2024)
Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
When to Trust LLMs: Aligning Confidence with Response Quality. CoRR (2024)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. ACM Trans. Inf. Syst. 42 (2) (2024)
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI (2024)
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR (2024)
Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
Graph Summarization for Preserving Spectral Characteristics. SDM (2024)
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR (2024)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. CoRR (2024)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW (2024)
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR (2024)
Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. AAAI (2024)
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR (2024)
Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) (2024)
Fangda Guo, Xuanpu Luo, Yanghao Liu, Guoxin Chen, Yongqing Wang, Huawei Shen, Xueqi Cheng
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. CoRR (2024)
Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. CoRR (2024)
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW (2024)
Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. CoRR (2024)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) (2024)
Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang
Unlocking the Power of Large Language Models for Entity Alignment. CoRR (2024)
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE (2024)
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680 (2024)
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR (2024)
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. WWW (2024)
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng
Graph Adversarial Immunization for Certifiable Robustness. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. CoRR (2024)
Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. CoRR (2024)
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
Event-aware Video Corpus Moment Retrieval. CoRR (2024)
Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR (2024)
Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang
Unlocking the Power of Large Language Models for Entity Alignment. ACL (1) (2024)
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
UnKE: Unstructured Knowledge Editing in Large Language Models. CoRR (2024)
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING (2024)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR (2024)
Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. WWW (Companion Volume) (2024)
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. CoRR (2024)
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. CoRR (2024)
Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. EMNLP (Findings) (2023)
Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. KDD (2023)
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CIKM (2023)
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Plot Retrieval as an Assessment of Abstract Semantic Association. CoRR (2023)
Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction. CoRR (2023)
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
Multi-video Moment Ranking with Multimodal Clue. CoRR (2023)
Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM (2023)
Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
Causality and Independence Enhancement for Biased Node Classification. CoRR (2023)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. CoRR (2023)
Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. CoRR (2023)
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. CoRR (2023)
Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng
UniSKGRep: A unified representation learning framework of social network and knowledge graph. Neural Networks 158 (2023)
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Fenglong Su, Yuanzhuo Wang, Fei Sun, Zixuan Li, Huawei Shen
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. CoRR (2023)
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
TEA: Test-time Energy Adaptation. CoRR (2023)
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. CoRR (2023)
Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. NeurIPS (2023)
Bingbing Xu, Bin Xie, Huawei Shen
Towards Deeper Graph Neural Networks via Layer-Adaptive. WWW (Companion Volume) (2023)
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. EMNLP (Findings) (2023)
Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng
Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. Inf. Process. Manag. 60 (4) (2023)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
Improving Graph Domain Adaptation with Network Hierarchy. CIKM (2023)
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. CoRR (2023)
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng
Adversarial camouflage for node injection attack on graphs. Inf. Sci. 649 (2023)
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. CoRR (2023)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. CoRR (2023)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CIKM (2023)
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. CoRR (2023)
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
LLMDet: A Large Language Models Detection Tool. CoRR (2023)
Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, Xueqi Cheng
Graph Adversarial Immunization for Certifiable Robustness. CoRR (2023)
Jiangli Shao, Yongqing Wang, Hao Gao, Boshen Shi, Huawei Shen, Xueqi Cheng
AsyLink: user identity linkage from text to geo-location via sparse labeled data. Neurocomputing 515 (2023)
Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma
Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. DASFAA (3) (2023)
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
A Provable Framework of Learning Graph Embeddings via Summarization. AAAI (2023)
Rong Yan, Peng Bao, Huawei Shen, Xuanya Li
Learning node representation via Motif Coarsening. Knowl. Based Syst. 278 (2023)
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR (2023)
Boshen Shi, Yongqing Wang, Jiangli Shao, Huawei Shen, Yangyang Li, Xueqi Cheng
Node classification across networks via category-level domain adaptive network embedding. Knowl. Inf. Syst. 65 (12) (2023)
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CoRR (2023)
Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng
What makes a successful rebuttal in computer science conferences?: A perspective on social interaction. J. Informetrics 17 (3) (2023)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. CoRR (2023)
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. KDD (2023)
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
LLMDet: A Third Party Large Language Models Generated Text Detection Tool. EMNLP (Findings) (2023)
Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. CIKM (2023)
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. SIGIR (2023)
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. CoRR (2023)
Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng
Robust Recommender System: A Survey and Future Directions. CoRR (2023)
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. CoRR (2023)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. ACL (1) (2023)
Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng
CANA: Causal-enhanced Social Network Alignment. CIKM (2023)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. CoRR (2023)
Jianian Li, Peng Bao, Rong Yan, Huawei Shen
DyTSCL: Dynamic graph representation via tempo-structural contrastive learning. Neurocomputing 556 (2023)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CoRR (2023)
Bingbing Xu, Yang Li, Qi Cao, Huawei Shen
Simple Multi-view Can Bring Powerful Graph Neural Network. WWW (Companion Volume) (2023)
Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
Causality and Independence Enhancement for Biased Node Classification. CIKM (2023)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. EMNLP (Findings) (2023)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. ACL (1) (2023)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) (2023)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR (2023)
Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60 (4) (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Huawei Shen