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Viewing Publication 1 - 100 from 527

2024

Unified Dense Subgraph Detection: Fast Spectral Theory Based AlgorithmsWenjie Feng 0001, Shenghua Liu, Danai Koutra, Xueqi Cheng. tkde, 36(3):1356-1370, March 2024. [doi]

Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect LearningKeping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng. ecir 2024: 194-209 [doi]

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag RecommendationRun-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang 0001, Xueqi Cheng. ecir 2024: 39-55 [doi]

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-OffYu-An Liu, Ruqing Zhang 0001, Mingkun Zhang, Wei Chen 0034, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng. AAAI 2024: 8832-8840 [doi]

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense RetrievalXiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng. wsdm 2024: 674-682 [doi]

Graph Adversarial Immunization for Certifiable RobustnessShuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng. tkde, 36(4):1597-1610, April 2024. [doi]

NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training FrameworkShicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng. tois, 42(2), March 2024. [doi]

PDE+: Enhancing Generalization via PDE with Adaptive Distributional DiffusionYige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun 0001, Huawei Shen, Xueqi Cheng. AAAI 2024: 16614-16622 [doi]

2023

Hierarchical Dense Pattern Detection in TensorsWenjie Feng 0001, Shenghua Liu, Xueqi Cheng. tkdd, 17(6), July 2023. [doi]

A Provable Framework of Learning Graph Embeddings via SummarizationHouquan Zhou 0002, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng. AAAI 2023: 4946-4953 [doi]

Rich Event Modeling for Script Event PredictionLong Bai 0002, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng. AAAI 2023: 12553-12561 [doi]

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge TransferWendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen. CIKM 2023: 99-109 [doi]

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural NetworkWendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng. WWW 2023: 274-285 [doi]

L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible RepresentationsYinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen 0013, Xueqi Cheng. CIKM 2023: 183-192 [doi]

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt LearningJiangui Chen, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yiqun Liu 0001, Yixing Fan, Xueqi Cheng. sigir 2023: 1448-1457 [doi]

Continual Learning for Generative Retrieval over Dynamic CorporaJiangui Chen, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Wei Chen 0034, Yixing Fan, Xueqi Cheng. CIKM 2023: 306-315 [doi]

Causality and Independence Enhancement for Biased Node ClassificationGuoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng. CIKM 2023: 203-212 [doi]

Inducing Causal Structure for Abstractive Text SummarizationLu Chen, Ruqing Zhang 0001, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng. CIKM 2023: 213-223 [doi]

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language ModelingJingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng. emnlp 2023: 2500-2510 [doi]

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent SpaceHanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua. emnlp 2023: 4424-4436 [doi]

Link Prediction on N-ary Relational Data Based on Relatedness EvaluationSaiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. tkde, 35(1):672-685, 2023. [doi]

What is Event Knowledge Graph: A SurveySaiping Guan, Xueqi Cheng, Long Bai 0002, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo. tkde, 35(7):7569-7589, July 2023. [doi]

Visual Reasoning: From State to TransformationXin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng. pami, 45(9):11352-11364, September 2023. [doi]

Temporal Knowledge Graph Reasoning Based on N-tuple ModelingZhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai 0002, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng. emnlp 2023: 1090-1100 [doi]

Augmentation-Aware Self-Supervision for Data-Efficient GAN TrainingLiang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng. nips 2023: [doi]

Semantic Structure Enhanced Event Causality IdentificationZhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai 0002, Saiping Guan, Jiafeng Guo, Xueqi Cheng. acl 2023: 10901-10913 [doi]

Adversarial Learning Data Augmentation for Graph Contrastive Learning in RecommendationJunjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia 0006, Huawei Shen, Xueqi Cheng. dasfaa 2023: 373-388 [doi]

Negative Can Be Positive: Signed Graph Neural Networks for RecommendationJunjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia 0006, Xueqi Cheng. ipm, 60(4):103403, 2023. [doi]

What makes a successful rebuttal in computer science conferences?: A perspective on social interactionJunjie Huang, Win-Bin Huang, Yi Bu 0001, Qi Cao, Huawei Shen, Xueqi Cheng. joi, 17(3):101427, August 2023. [doi]

Zero-shot stance detection via multi-perspective contrastive learning with unlabeled dataYan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng. ipm, 60(4):103361, 2023. [doi]

Learning Adversarially Robust Sparse Networks via Weight ReparameterizationChenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng. AAAI 2023: 8527-8535 [doi]

Prompt Tuning with Contradictory Intentions for Sarcasm RecognitionYiyi Liu, Ruqing Zhang 0001, Yixing Fan, Jiafeng Guo, Xueqi Cheng. eacl 2023: 328-339 [doi]

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning MethodYu-An Liu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Wei Chen 0034, Yixing Fan, Xueqi Cheng. CIKM 2023: 1647-1656 [doi]

Topic-oriented Adversarial Attacks against Black-box Neural Ranking ModelsYu-An Liu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Wei Chen 0013, Yixing Fan, Xueqi Cheng. sigir 2023: 1700-1709 [doi]

Time Series Anomaly Detection With Adversarial Reconstruction NetworksShenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng. tkde, 35(4):4293-4306, April 2023. [doi]

Popularity Debiasing from Exposure to Interaction in Collaborative FilteringYuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng. sigir 2023: 1801-1805 [doi]

A Comparative Study of Training Objectives for Clarification Facet GenerationShiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng. sigir-ap 2023: 1-10 [doi]

AsyLink: user identity linkage from text to geo-location via sparse labeled dataJiangli Shao, Yongqing Wang, Hao Gao, Boshen Shi, Huawei Shen, Xueqi Cheng. ijon, 515:174-184, 2023. [doi]

TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network LearningJiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng. CIKM 2023: 2208-2218 [doi]

CANA: Causal-enhanced Social Network AlignmentJiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng. CIKM 2023: 2219-2228 [doi]

UniSKGRep: A unified representation learning framework of social network and knowledge graphYinghan Shen, Xuhui Jiang, Zijian Li 0014, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng. NN, 158:142-153, January 2023. [doi]

Node classification across networks via category-level domain adaptive network embeddingBoshen Shi, Yongqing Wang, Jiangli Shao, Huawei Shen, Yangyang Li, Xueqi Cheng. kais, 65(12):5479-5502, December 2023. [doi]

Improving Graph Domain Adaptation with Network HierarchyBoshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng. CIKM 2023: 2249-2258 [doi]

OpenGDA: Graph Domain Adaptation Benchmark for Cross-network LearningBoshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng. CIKM 2023: 5396-5400 [doi]

Semantic-Enhanced Differentiable Search Index Inspired by Learning StrategiesYubao Tang, Ruqing Zhang 0001, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng. kdd 2023: 4904-4913 [doi]

Adversarial camouflage for node injection attack on graphsShuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun 0001, Xueqi Cheng. isci, 649:119611, November 2023. [doi]

LLMDet: A Third Party Large Language Models Generated Text Detection ToolKangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua. emnlp 2023: 2113-2133 [doi]

Are Neural Ranking Models Robust?Chen Wu, Ruqing Zhang 0001, Jiafeng Guo, Yixing Fan, Xueqi Cheng. tois, 41(2), April 2023. [doi]

PRADA: Practical Black-box Adversarial Attacks against Neural Ranking ModelsChen Wu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng. tois, 41(4), October 2023. [doi]

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense RetrievalShicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng. acl 2023: 6620-6635 [doi]

Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental StudyWeixin Zeng, Xiang Zhao 0002, Zhen Tan, Jiuyang Tang, Xueqi Cheng. tkde, 35(12):12770-12784, December 2023. [doi]

From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationHengran Zhang, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng. emnlp 2023: 6373-6384 [doi]

DyTed: Disentangled Representation Learning for Discrete-time Dynamic GraphKaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng. kdd 2023: 3309-3320 [doi]

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluationJunkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng. acl 2023: 9945-9959 [doi]

2022

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural NetworksWendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng. kdd 2022: 2712-2720 [doi]

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking ModelsYinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng. CIKM 2022: 118-127 [doi]

PREP: Pre-training with Temporal Elapse Inference for Popularity PredictionQi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng. WWW 2022: 243-247 [doi]

Towards Powerful Graph Contrastive Learning without Negative ExamplesKeting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng. ijcnn 2022: 1-9 [doi]

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language TasksJiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu 0001, Yixing Fan, Xueqi Cheng. CIKM 2022: 191-200 [doi]

GERE: Generative Evidence Retrieval for Fact VerificationJiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng. sigir 2022: 2184-2189 [doi]

Discriminative Language Model via Self-Teaching for Dense RetrievalLu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng. CIKM 2022: 3858-3862 [doi]

InDNI: An Infection Time Independent Method for Diffusion Network InferenceGuoxin Chen, Yongqing Wang, Jiangli Shao, Boshen Shi, Huawei Shen, Xueqi Cheng. ccir 2023: 63-75 [doi]

User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay FunctionHao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng. entropy, 24(11):1603, 2022. [doi]

Semantic Models for the First-Stage Retrieval: A Comprehensive ReviewJiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun 0001, Ruqing Zhang, Xueqi Cheng. tois, 40(4), 2022. [doi]

Region-based Cross-modal RetrievalDan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng. ijcnn 2022: 1-8 [doi]

Conditional GANs with Auxiliary Discriminative ClassifierLiang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng. icml 2022: 8888-8902 [doi]

Few-Shot Stance Detection via Target-Aware Prompt DistillationYan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng. sigir 2022: 837-847 [doi]

ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and SemanticWenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng. wsdm 2022: 467-475 [doi]

Link Prediction in Knowledge Graphs: A Hierarchy-Constrained ApproachManling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng. tbd, 8(3):630-643, 2022. [doi]

Complex Evolutional Pattern Learning for Temporal Knowledge Graph ReasoningZixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu 0004, Long Bai 0002, Wei Li 0176, Jiafeng Guo, Xueqi Cheng. acl 2022: 290-296 [doi]

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph ReasoningZixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai 0002, Yajuan Lyu, Wei Li 0176, Jiafeng Guo, Xueqi Cheng. emnlp 2022: 7328-7338 [doi]

On the Cybernetics of Crowdsourcing Innovation: A Process ModelLei Lin, Huawei Shen, Shenghua Liu, Easton Li Xu, Xueqi Cheng. access, 10:27255-27269, 2022. [doi]

Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span PredictionXinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng. sigir 2022: 848-858 [doi]

A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense RetrievalXinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng. CIKM 2022: 4314-4318 [doi]

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information RetrievalXinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng. CIKM 2022: 1471-1480 [doi]

NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groupsYinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Xiaolong Jin, Shengjie Ma, Xueqi Cheng. kais, 64(10):2771-2795, 2022. [doi]

Visual Named Entity Linking: A New Dataset and A BaselineWen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang 0001, Xueqi Cheng. emnlp 2022: 2403-2415 [doi]

MonLAD: Money Laundering Agents Detection in Transaction StreamsXiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia 0001, Bryan Hooi, Wenhan Wang, Xueqi Cheng. wsdm 2022: 976-986 [doi]

MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen EntitiesYuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo. IJCAI 2022: 4404-4410 [doi]

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-LehmanZhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng. log 2022: 17 [doi]

Location-aware convolutional neural networks for graph classificationZhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng. NN, 155:74-83, 2022. [doi]

SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web PagesZhiwei Wang, Yan Guo, Yangyuanxiang Xu, Yuanhai Xue, Yue Liu, Huawei Shen, Xueqi Cheng. iconip 2023: 311-323 [doi]

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking ModelsChen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng. CIKM 2022: 2128-2137 [doi]

INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative FilteringYunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng. sigir 2022: 91-101 [doi]

Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningShicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng. CIKM 2022: 2290-2300 [doi]

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance DifficultySihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng. cvpr 2022: 70-79 [doi]

A Review on Question Generation from Natural Language TextRuqing Zhang, Jiafeng Guo, Lu Chen, Yixing Fan, Xueqi Cheng. tois, 40(1), 2022. [doi]

Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge BasesKun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai 0002, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng. COLING 2022: 6105-6114 [doi]

Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event DetectionKailin Zhao, Xiaolong Jin, Long Bai 0002, Jiafeng Guo, Xueqi Cheng. emnlp 2022: 6266-6275 [doi]

MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text ClassificationKailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng. COLING 2022: 2065-2074 [doi]

LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance FeedbackYunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng. sigir 2022: 825-836 [doi]

2021

A Discriminative Semantic Ranker for Question RetrievalYinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng. ictir 2021: 251-260 [doi]

FedMatch: Federated Learning Over Heterogeneous Question Answering DataJiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng. CIKM 2021: 181-190 [doi]

Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple ExtractionWenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng. pakdd 2021: 743-755 [doi]

Feature Rescaling and Fusion for Tiny Object DetectionJingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng. access, 9:62946-62955, 2021. [doi]

Match-Ignition: Plugging PageRank into Transformer for Long-form Text MatchingLiang Pang, Yanyan Lan, Xueqi Cheng. CIKM 2021: 1396-1405 [doi]

Uncertainty Calibration for Ensemble-Based Debiasing MethodsRuibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan. nips 2021: 13657-13669 [doi]

Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL GenerationRuizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng. pakdd 2021: 664-675 [doi]

Roulette: A Pruning Framework to Train a Sparse Neural Network From ScratchQiaoling Zhong, Zhibin Zhang, Qiang Qiu, Xueqi Cheng. access, 9:51134-51145, 2021. [doi]

Adaptive Information Seeking for Open-Domain Question AnsweringYunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng. emnlp 2021: 3615-3626 [doi]

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