Xueqi Cheng

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 553

Top Venues

Virginia Tech, Blacksburg, VA, USA (PHD)

Education History

Virginia Tech, Blacksburg, VA, USA

PHD

Publications

Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. CoRR (2024)
Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. CoRR (2024)
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)
Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. CoRR (2024)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR (2024)
Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. CoRR (2024)
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. ACL (Findings) (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)
Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
An In-Context Schema Understanding Method for Knowledge Base Question Answering. KSEM (1) (2024)
Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Lixiang Lixiang, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. ACL (1) (2024)
Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng
A Unified Causal View of Instruction Tuning. CoRR (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)
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Are Large Language Models Good at Utility Judgments? CoRR (2024)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR (2024)
Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR (2024)
Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. 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)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. 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)
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)
Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
Few-shot Link Prediction on Hyper-relational Facts. LREC/COLING (2024)
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR (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)
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng
Selective Temporal Knowledge Graph Reasoning. LREC/COLING (2024)
Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. ECIR (1) (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)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR (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)
Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. CoRR (2024)
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR (2024)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42 (5) (2024)
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng
Selective Temporal Knowledge Graph Reasoning. 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)
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)
Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng
Class-Incremental Few-Shot Event Detection. 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)
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Are Large Language Models Good at Utility Judgments? SIGIR (2024)
Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. ACL (Findings) (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)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. ACL (Findings) (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)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR (2024)
Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng
Nested Event Extraction upon Pivot Element Recognition. LREC/COLING (2024)
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
Event-aware Video Corpus Moment Retrieval. CoRR (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. ACL (Findings) (2024)
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR (2024)
Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR (2024)
Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. CoRR (2024)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. 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 When Knowledge Conflicts? ACL (1) (2024)
Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39 (1) (2024)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) (2024)
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. AAAI (2024)
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
UnKE: Unstructured Knowledge Editing in Large Language Models. CoRR (2024)
Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. ECIR (4) (2024)
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. WSDM (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)
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)
Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. ICDE (2024)
Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng
Class-Incremental Few-Shot Event Detection. LREC/COLING (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)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR (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)
Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. CoRR (2024)
Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39 (2) (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)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR (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)

Xueqi Cheng.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xueqi Cheng