Xueqi Cheng

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 484

Top Venues

Virginia Tech, Blacksburg, VA, USA (PHD)

Education History

Virginia Tech, Blacksburg, VA, USA

PHD

Publications

Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. CoRR (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)
Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng
A Unified Causal View of Instruction Tuning. CoRR (2024)
Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? 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)
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)
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR (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)
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. CoRR (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)
Yuyao Ge, Shenghua Liu, Lingrui Mei, Lizhe Chen, Xueqi Cheng
Sequential Ordering in Textual Descriptions: Impact on Spatial Perception Abilities of Large Language Models. CoRR (2024)
Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. CoRR (2024)
Yantao Liu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
An In-Context Schema Understanding Method for Knowledge Base Question Answering. CoRR (2023)
Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. CoRR (2023)
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Visual Reasoning: From State to Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng
Inducing Causal Structure for Abstractive Text Summarization. CIKM (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)
Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng
Fast Searching The Densest Subgraph And Decomposition With Local Optimality. CoRR (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)
Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. CoRR (2023)
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
Multi-video Moment Ranking with Multimodal Clue. CoRR (2023)
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
A Comparative Study of Training Objectives for Clarification Facet Generation. CoRR (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)
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Visual Transformation Telling. CoRR (2023)
Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CIKM (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)
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
Continual Learning for Generative Retrieval over Dynamic Corpora. CIKM (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)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CIKM (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)
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. EMNLP (Findings) (2023)
Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
Are Neural Ranking Models Robust? ACM Trans. Inf. Syst. 41 (2) (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)
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. SIGIR (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)
Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng
Nested Event Extraction upon Pivot Element Recogniton. 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)
Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
Semantic Structure Enhanced Event Causality Identification. CoRR (2023)
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. CoRR (2023)
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
Visual Reasoning: from State to Transformation. 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)
Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
Learning Adversarially Robust Sparse Networks via Weight Reparameterization. AAAI (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)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. 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)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Xueqi Cheng
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective. CoRR (2023)
Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. CoRR (2023)
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
A Provable Framework of Learning Graph Embeddings via Summarization. AAAI (2023)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. CoRR (2023)
Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
RIGHT: Retrieval-augmented Generation for Mainstream Hashtag Recommendation. CoRR (2023)
Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng
Inducing Causal Structure for Abstractive Text Summarization. CoRR (2023)
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR (2023)
Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
Few-shot Link Prediction on N-ary Facts. CoRR (2023)
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng
Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. EMNLP (Findings) (2023)
Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. CoRR (2023)
Wenjie Feng, Shenghua Liu, Xueqi Cheng
Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data 17 (6) (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)
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. EMNLP (Findings) (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)
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
Continual Learning for Generative Retrieval over Dynamic Corpora. CoRR (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)
Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CoRR (2023)
Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng
Retrieval-Augmented Code Generation for Universal Information Extraction. CoRR (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)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR (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)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. SIGIR (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)
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR (2023)
Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng
Rich Event Modeling for Script Event Prediction. AAAI (2023)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CoRR (2023)
Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
Semantic Structure Enhanced Event Causality Identification. ACL (1) (2023)
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. CoRR (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)
Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. ACM Trans. Inf. Syst. 41 (4) (2023)
Zhilei Hu, Zixuan Li, Daozhu Xu, Long Bai, Cheng Jin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction. CoRR (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xueqi Cheng