| 2026 | AAAI | Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. | Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng |
| 2026 | AAAI | RLKD: Distilling LLMs' Reasoning via Reinforcement Learning. | Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification. | Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Zihe Huang, Jiayi Wu, Yu Yan, Jingcheng Deng, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | Steering Away from Refusal: A Black-box Jailbreak Method Based on First-Token Distribution. | Shuangjie Fu, Du Su, Xin Chen, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | Lost in Decomposition: Analyzing and Mitigating the Limitations of Long Context Methods via Context Dependency. | Jiayuan Guo, Yueyang Su, Yuyao Ge, Saiping Guan, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning. | Yucan Guo, Miao Su, Saiping Guan, Zihao Sun, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation. | Xin Liu, Yu-An Liu, Ruqing Zhang, Yixing Fan, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Hongru Song, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2026 | ACL | a1: Steep Test-time Scaling Law via Environment Augmented Generation. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng |
| 2026 | ACL | HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng |
| 2026 | ACL | Gated Differentiable Working Memory for Long-Context Language Modeling. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi, Jiayu Yao, Jun Wan, Ziling Yin, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Detoxification for LLM: From Dataset Itself. | Wei Shao, Yihang Wang, Gao yu Zhu, Ziqiang Cheng, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents. | Miao Su, Yucan Guo, Zhongni Hou, Long Bai, Zixuan Li, Yufei Zhang, Guojun Yin, Wei Lin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | BaseCal: Unsupervised Confidence Calibration via Base Model Signals. | Hexiang Tan, Wanli Yang, Junwei Zhang, Xin Chen, Rui Tang, Du Su, Jingang Wang, Yuanzhuo Wang, Fei Sun, Xueqi Cheng |
| 2026 | ACL | Distilling Large Embeddings via Hyperspherical Householder Quantization. | Yihang Wang, Bin Wu, Yueyang Su, Tianfu Zhang, Yiqi Du, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis. | Zihao Wei, Liang Pang, Jiahao Liu, Wenjie Shi, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs. | Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Modeling Human-Like Cognition for Stance Detection: Integrating Intuitive Judgment and Analytical Reasoning. | Zhaodan Zhang, Jin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2026 | DASFAA | Skyline Community Search over Edge-Attributed Bipartite Graphs. | Fangda Guo, Xuanpu Luo, Shiyuan Xu, Haowen Gao, Yanghao Liu, Huawei Shen, Xueqi Cheng |
| 2026 | DASFAA | Generative Store Retrieval in Taobao Search. | Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Kaixuan Zhang, Zhihong Chen, Fuyu Lv, Xueqi Cheng |
| 2026 | EACL | Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration. | Guangxin Wu, Hao Zhang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2026 | ECIR | Event-Aware Video Corpus Moment Retrieval. | Danyang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2026 | ECIR | Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization. | Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Yu Wang, Huawei Shen, Xueqi Cheng, Yuanzhuo Wang |
| 2026 | PAKDD | Diverse and Task-Specific Data Selection for Instruction Tuning. | Juncheng Diao, Saiping Guan, Gaoyu Zhu, Jiafeng Guo, Xueqi Cheng |
| 2026 | WWW | D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models. | Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2026 | WWW | Fairness at a Glance: Can We Audit Model Fairness Before Training Completes? | Yuanhao Liu, Qi Cao, Huawei Shen, Xueqi Cheng |
| 2026 | WWW | Rethinking Implicit Hate Speech Detection: Focusing on Latent Hate Components via Dual-Process Argumentation. | Shiqi Sun, Du Su, Wei Chen, Xueqi Cheng |
| 2026 | WWW | LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models. | Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | SIGIR | Towards Knowledgeable Deep Research: Framework and Benchmark. | Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng |
| 2026 | SIGIR | Is a Busy Search Agent a Good One? Overthinking and Overretrieval at Scale. | Xin Liu, Ruqing Zhang, Yu-An Liu, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | SIGIR | AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | SIGIR | One-Pass Decoding for Generative Recommendation with WFST-Constrained A* Search. | Puji Wang, Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Xueqi Cheng |
| 2026 | SIGIR | AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation. | Kaike Zhang, Qi Cao, Fei Sun, Xinran Liu, Huawei Shen, Xueqi Cheng |
| 2026 | WSDM | How Do LLM-Generated Texts Impact Term-Based Retrieval Models? | Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2026 | WSDM | Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection. | Weicheng Ren, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | AAAI | Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | ACL | G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. | Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua |
| 2025 | ACL | Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. | Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng |
| 2025 | ACL | ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. | Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng |
| 2025 | ACL | Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? | Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng |
| 2025 | ACL | Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. | Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng |
| 2025 | ACL | Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. | Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng |
| 2025 | ACL | The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng |
| 2025 | ACL | Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. | Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | ACL | The Mirage of Model Editing: Revisiting Evaluation in the Wild. | Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng |
| 2025 | ACL | MPVStance: Mitigating Hallucinations in Stance Detection with Multi-Perspective Verification. | Zhaodan Zhang, Zhao Zhang, Jin Zhang, Hui Xu, Xueqi Cheng |
| 2025 | ACL | Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution. | Jizhao Zhu, Akang Shi, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | ACL | KnowCoder-X: Boosting Multilingual Information Extraction via Code. | Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | CCS | Rethinking Machine Unlearning in Image Generation Models. | Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng |
| 2025 | CIKM | Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation. | Kangzhuo Chen, Xiaoqian Sun, Huawei Shen, Xueqi Cheng |
| 2025 | CIKM | Bridging Queries and Tables through Entities in Open-Domain Table Retrieval. | Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2025 | COLING | Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. | Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2025 | COLING | Large Language Model-Based Event Relation Extraction with Rationales. | Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2025 | COLING | "Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng |
| 2025 | COLING | MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. | Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng |
| 2025 | COLING | Inductive Link Prediction in N-ary Knowledge Graphs. | Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | ECIR | MVAM: Multi-View Attention Method for Fine-Grained Image-Text Matching. | Wanqing Cui, Rui Cheng, Jiafeng Guo, Xueqi Cheng |
| 2025 | ECIR | On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng |
| 2025 | EMNLP | Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. | Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Jailbreak LLMs through Internal Stance Manipulation. | Shuangjie Fu, Du Su, Beining Huang, Fei Sun, Jingang Wang, Wei Chen, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. | Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction. | Wenxuan Liu, Zixuan Li, Long Bai, Yuxin Zuo, Daozhu Xu, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. | Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory. | Yihang Wang, Xu Huang, Bowen Tian, Yueyang Su, Lei Yu, Huaming Liao, Yixing Fan, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Speculative Safety-Aware Decoding. | Xuekang Wang, Shengyu Zhu, Xueqi Cheng |
| 2025 | EMNLP | A Survey of Link Prediction in N-ary Knowledge Graphs. | Jiyao Wei, Saiping Guan, Da Li, Zhongni Hou, Miao Su, Yucan Guo, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. | Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. | Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng |
| 2025 | EMNLP | Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation. | Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng |
| 2025 | EMNLP | T-MAD: Target-driven Multimodal Alignment for Stance Detection. | ZhaoDan Zhang, Jin Zhang, Xueqi Cheng, Hui Xu |
| 2025 | EMNLP | MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework. | Zhaodan Zhang, Jin Zhang, Hui Xu, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training. | WenJie Zhou, Bohan Wang, Wei Chen, Xueqi Cheng |
| 2025 | EMNLP | A Generative Framework for Personalized Sticker Retrieval. | Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Yuan Liu, Fan Zhang, Ganyuan Luo, Xueqi Cheng |
| 2025 | ICCV | NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations. | Junjie Nan, Jianing Li, Wei Chen, Mingkun Zhang, Xueqi Cheng |
| 2025 | ICLR | Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. | Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng |
| 2025 | ICLR | 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 |
| 2025 | ICLR | A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. | Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. | Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | KDD | BTS: A Comprehensive Benchmark for Tie Strength Prediction. | Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr |
| 2025 | KDD | BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. | Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng |
| 2025 | KDD | Generative Retrieval for Book Search. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng |
| 2025 | NAACL | Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject. | Zenghao Duan, Wenbin Duan, Zhiyi Yin, Yinghan Shen, Shaoling Jing, Jie Zhang, Huawei Shen, Xueqi Cheng |
| 2025 | NAACL | SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs. | Zhichao Shi, Shaoling Jing, Yi Cheng, Hao Zhang, Yuanzhuo Wang, Jie Zhang, Huawei Shen, Xueqi Cheng |
| 2025 | NAACL | ALiiCE: Evaluating Positional Fine-grained Citation Generation. | Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng |
| 2025 | NAACL | Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation. | Gao yu Zhu, Wei Shao, Xichou Zhu, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2025 | WWW | Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. | Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng |
| 2025 | WWW | Personalized Denoising Implicit Feedback for Robust Recommender System. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2025 | SIGIR | On the Scaling of Robustness and Effectiveness in Dense Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2025 | SIGIR | Fact-Level Calibration and Correction for Long-Form Generations. | Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng |
| 2025 | WSDM | Edge Classification on Graphs: New Directions in Topological Imbalance. | Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr |
| 2025 | WSDM | Edge-Centric Network Analytics. | Xueqi Cheng |
| 2024 | AAAI | Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. | Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng |
| 2024 | AAAI | PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. | Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | ACL | LPNL: Scalable Link Prediction with Large Language Models. | Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng |
| 2024 | ACL | MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. | Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2024 | ACL | KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. | 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 |
| 2024 | ACL | When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. | Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2024 | ACL | Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? | Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng |
| 2024 | ACL | Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | ACL | Plot Retrieval as an Assessment of Abstract Semantic Association. | Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. | Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng |
| 2024 | CIKM | FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. | Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng |
| 2024 | CIKM | Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. | Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2024 | CIKM | GaQR: An Efficient Generation-augmented Question Rewriter. | Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng |
| 2024 | COLING | Selective Temporal Knowledge Graph Reasoning. | Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2024 | COLING | Qsnail: A Questionnaire Dataset for Sequential Question Generation. | Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2024 | COLING | Nested Event Extraction upon Pivot Element Recognition. | Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2024 | COLING | Few-shot Link Prediction on Hyper-relational Facts. | Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2024 | COLING | Class-Incremental Few-Shot Event Detection. | Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2024 | CVPR | TEA: Test-Time Energy Adaptation. | Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | DASFAA | History Driven Sampling for Scalable Graph Neural Networks. | Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | ECAI | Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. | Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2024 | ECIR | Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. | Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng |
| 2024 | ECIR | RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. | Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2024 | EMNLP | Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. | Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng |
| 2024 | EMNLP | Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. | Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2024 | EMNLP | SLANG: New Concept Comprehension of Large Language Models. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng |
| 2024 | EMNLP | RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. | Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2024 | EMNLP | Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. | Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2024 | EMNLP | LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. | Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng |
| 2024 | EMNLP | Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. | Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | ICDE | SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. | Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng |
| 2024 | ICDE | Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. | Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng |
| 2024 | ICLR | A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. | Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr |
| 2024 | ICONIP | Test-Time Adaptation with Angular Distance-Based Prediction. | Chenhao Li, Lin Li, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2024 | KSEM | An In-Context Schema Understanding Method for Knowledge Base Question Answering. | Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2024 | NAACL | Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. | Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2024 | RecSys | Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | WWW | Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2024 | WWW | List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. | Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | SIGIR | Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. | Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | Are Large Language Models Good at Utility Judgments? | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | SIGIR | LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | WSDM | A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. | Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng |
| 2024 | SDM | Graph Summarization for Preserving Spectral Characteristics. | Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng |
| 2023 | AAAI | Rich Event Modeling for Script Event Prediction. | Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng |
| 2023 | AAAI | A Provable Framework of Learning Graph Embeddings via Summarization. | Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng |
| 2023 | AAAI | Learning Adversarially Robust Sparse Networks via Weight Reparameterization. | Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2023 | ACL | Semantic Structure Enhanced Event Causality Identification. | Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2023 | ACL | BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | ACL | SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. | Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. | Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen |
| 2023 | CIKM | L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. | Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng |
| 2023 | CIKM | Continual Learning for Generative Retrieval over Dynamic Corpora. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | Inducing Causal Structure for Abstractive Text Summarization. | Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2023 | CIKM | Causality and Independence Enhancement for Biased Node Classification. | Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | CANA: Causal-enhanced Social Network Alignment. | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | Improving Graph Domain Adaptation with Network Hierarchy. | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | DASFAA | Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. | Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng |
| 2023 | EACL | Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. | Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng |
| 2023 | EMNLP | RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. | Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | EMNLP | MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. | Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | EMNLP | Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. | Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng |
| 2023 | EMNLP | LLMDet: A Third Party Large Language Models Generated Text Detection Tool. | Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | EMNLP | From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2023 | KDD | Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng |
| 2023 | KDD | DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. | Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng |
| 2023 | WWW | Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng |
| 2023 | SIGIR | A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. | Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng |
| 2022 | ACL | Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. | Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng |
| 2022 | CIKM | Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. | Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng |
| 2022 | CIKM | CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Discriminative Language Model via Self-Teaching for Dense Retrieval. | Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. | Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng |
| 2022 | CIKM | Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2022 | COLING | Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. | Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng |
| 2022 | COLING | MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. | Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2022 | CVPR | A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. | Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng |
| 2022 | EMNLP | HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. | Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng |
| 2022 | EMNLP | Visual Named Entity Linking: A New Dataset and A Baseline. | Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2022 | EMNLP | Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. | Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2022 | ICML | Conditional GANs with Auxiliary Discriminative Classifier. | Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng |
| 2022 | ICONIP | SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages. | Zhiwei Wang, Yan Guo, Yangyuanxiang Xu, Yuanhai Xue, Yue Liu, Huawei Shen, Xueqi Cheng |
| 2022 | IJCAI | MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. | Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo |
| 2022 | IJCNN | Towards Powerful Graph Contrastive Learning without Negative Examples. | Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng |
| 2022 | IJCNN | Region-based Cross-modal Retrieval. | Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | KDD | Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng |
| 2022 | WWW | PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. | Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng |
| 2022 | SIGIR | GERE: Generative Evidence Retrieval for Fact Verification. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | SIGIR | Few-Shot Stance Detection via Target-Aware Prompt Distillation. | Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2022 | SIGIR | Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2022 | SIGIR | INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. | Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng |
| 2022 | SIGIR | LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | WSDM | ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. | Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2022 | WSDM | MonLAD: Money Laundering Agents Detection in Transaction Streams. | Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng |
| 2021 | AAAI | Sketch and Customize: A Counterfactual Story Generator. | Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng |
| 2021 | AAAI | Slimmable Generative Adversarial Networks. | Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang |
| 2021 | AAAI | SDGNN: Learning Node Representation for Signed Directed Networks. | Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng |
| 2021 | AAAI | Learning to Truncate Ranked Lists for Information Retrieval. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2021 | AAAI | 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 |
| 2021 | AAAI | AugSplicing: Synchronized Behavior Detection in Streaming Tensors. | Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng |
| 2021 | ACL | Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. | Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | CIKM | FedMatch: Federated Learning Over Heterogeneous Question Answering Data. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2021 | CIKM | Signed Bipartite Graph Neural Networks. | Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng |
| 2021 | CIKM | Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. | Liang Pang, Yanyan Lan, Xueqi Cheng |
| 2021 | CIKM | Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. | Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng |
| 2021 | CIKM | Single Node Injection Attack against Graph Neural Networks. | Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng |
| 2021 | CVPR | Transformation Driven Visual Reasoning. | Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2021 | EMNLP | Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. | Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng |
| 2021 | EMNLP | Transductive Learning for Unsupervised Text Style Transfer. | Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng |
| 2021 | EMNLP | Adaptive Information Seeking for Open-Domain Question Answering. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2021 | ICTIR | A Discriminative Semantic Ranker for Question Retrieval. | Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | ICWSM | SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling. | Junjie Huang, Huawei Shen, Xueqi Cheng |
| 2021 | ICWSM | How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. | Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng |
| 2021 | PAKDD | Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. | Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | PAKDD | CubeFlow: Money Laundering Detection with Coupled Tensors. | Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng |
| 2021 | PAKDD | Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. | Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | WWW | A Linguistic Study on Relevance Modeling in Information Retrieval. | Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | SIGIR | Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. | Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | SIGIR | B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng |
| 2021 | WSDM | PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng |
| 2021 | WSDM | Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. | Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng |
| 2021 | WSDM | Adversarial Immunization for Certifiable Robustness on Graphs. | Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng |
| 2021 | SDM | DPGS: Degree-Preserving Graph Summarization. | Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng |
| 2020 | AAAI | Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract). | Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng |
| 2020 | AAAI | FlowScope: Spotting Money Laundering Based on Graphs. | Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng |
| 2020 | AAAI | Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). | Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng |
| 2020 | AAAI | Structure Learning for Headline Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | ACL | NeuInfer: Knowledge Inference on N-ary Facts. | Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng |
| 2020 | CCGRID | Marabunta: Continuous Distributed Processing of Skewed Streams. | Bing Li, Zhibin Zhang, Tianqi Zheng, Qiaoling Zhong, Qun Huang, Xueqi Cheng |
| 2020 | CIKM | Ranking Enhanced Dialogue Generation. | Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng |
| 2020 | CIKM | Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. | Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng |
| 2020 | CIKM | Continual Domain Adaptation for Machine Reading Comprehension. | Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | CIKM | Query Understanding via Intent Description Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | COLING | Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. | Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2020 | ECAI | Dual Rejection Sampling for Wasserstein Auto-Encoders. | Liang Hou, Huawei Shen, Xueqi Cheng |
| 2020 | EMNLP | Beyond Language: Learning Commonsense from Images for Reasoning. | Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2020 | ICML | On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. | Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2020 | IJCAI | Evaluating Natural Language Generation via Unbalanced Optimal Transport. | Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng |
| 2020 | PAKDD | Modeling Users' Multifaceted Interest Correlation for Social Recommendation. | Hao Wang, Huawei Shen, Xueqi Cheng |
| 2020 | PAKDD | Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. | Hao Wang, Huawei Shen, Xueqi Cheng |
| 2020 | SIGIR | SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. | Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen |
| 2020 | SIGIR | Match²: A Matching over Matching Model for Similar Question Identification. | Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang |
| 2020 | SIGIR | Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. | Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2020 | SIGIR | Reinforcement Learning to Rank with Pairwise Policy Gradient. | Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen |
| 2020 | SIGIR | L2R²: Leveraging Ranking for Abductive Reasoning. | Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng |
| 2020 | WSDM | Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. | Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng |
| 2020 | WSDM | Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | Teaching Machines to Extract Main Content for Machine Reading Comprehension. | Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | Differentiated Distribution Recovery for Neural Text Generation. | Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2019 | AAAI | HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng |
| 2019 | AAAI | An Adaptive Framework for Conversational Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng |
| 2019 | ACL | Soft Contextual Data Augmentation for Neural Machine Translation. | Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu |
| 2019 | ACL | ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. | Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2019 | DEXA | SilverChunk: An Efficient In-Memory Parallel Graph Processing System. | Tianqi Zheng, Zhibin Zhang, Xueqi Cheng |
| 2019 | EMNLP | Event Detection with Multi-Order Graph Convolution and Aggregated Attention. | Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng |
| 2019 | ICANN | Signed Graph Attention Networks. | Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng |
| 2019 | ICDM | A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. | Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2019 | ICLR | Graph Wavelet Neural Network. | Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng |
| 2019 | IJCAI | Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. | Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng |
| 2019 | IJCAI | BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. | Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye |
| 2019 | PAKDD | Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. | Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng |
| 2019 | PAKDD | EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. | Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng |
| 2019 | WWW | Link Prediction on N-ary Relational Data. | Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2019 | WWW | What We Vote for? Answer Selection from User Expertise View in Community Question Answering. | Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng |
| 2019 | WWW | Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. | Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2019 | SIGIR | MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. | Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng |
| 2019 | SIGIR | Controlling Risk of Web Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | SIGIR | Outline Generation: Understanding the Inherent Content Structure of Documents. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2018 | AAAI | Towards Efficient Detection of Overlapping Communities in Massive Networks. | Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng |
| 2018 | AAAI | Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Tailored Sequence to Sequence Models to Different Conversation Scenarios. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Learning to Control the Specificity in Neural Response Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention. | Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | CIKM | Shared Embedding Based Neural Networks for Knowledge Graph Completion. | Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | CIKM | Neighborhood Voting: A Novel Search Scheme for Hashing. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | CIKM | Question Headline Generation for News Articles. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng |
| 2018 | ECIR | Spherical Paragraph Model. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ECIR | Aggregating Neural Word Embeddings for Document Representation. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | EMNLP | Exploiting Contextual Information via Dynamic Memory Network for Event Detection. | Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng |
| 2018 | ICDM | Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method. | Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | ICPR | Model-free Knockoffs for SLOPE-Adaptive Variable Selection with Controlled False Discovery Rate. | Mahammad Humayoo, Xueqi Cheng |
| 2018 | IJCAI | NeuCast: Seasonal Neural Forecast of Power Grid Time Series. | Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng |
| 2018 | IJCAI | Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. | Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng |
| 2018 | IJCAI | Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | ICTIR | MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. | Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | ICTIR | Multi Page Search with Reinforcement Learning to Rank. | Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | NAACL | Efficient Sequence Learning with Group Recurrent Networks. | Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu |
| 2018 | SIGIR | Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng |
| 2018 | SIGIR | From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. | Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng |
| 2018 | SIGIR | Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. | Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2017 | ACML | Locally Smoothed Neural Networks. | Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng |
| 2017 | CIKM | DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. | Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng |
| 2017 | CIKM | Learning Visual Features from Snapshots for Web Search. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng |
| 2017 | CIKM | Truth Discovery by Claim and Source Embedding. | Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng |
| 2017 | CIKM | DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng |