Cheng, Xueqi

76 publications

ICLR 2025 A Theory for Token-Level Harmonization in Retrieval-Augmented Generation Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

AAAI 2025 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

ECML-PKDD 2025 BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng

ICLR 2025 CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng

ICLR 2025 Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng

ICLR 2025 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

NeurIPS 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLRW 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLR 2025 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

ICCV 2025 NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations Junjie Nan, Jianing Li, Wei Chen, Mingkun Zhang, Xueqi Cheng

ICLR 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr

ICLRW 2024 AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng

NeurIPS 2024 CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng

NeurIPS 2024 Generative Retrieval Meets Multi-Graded Relevance Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng

AAAI 2024 PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

AAAI 2024 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

CVPR 2024 TEA: Test-Time Energy Adaptation Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

NeurIPS 2024 Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

AAAI 2023 A Provable Framework of Learning Graph Embeddings via Summarization Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

NeurIPS 2023 Augmentation-Aware Self-Supervision for Data-Efficient GAN Training Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng

AAAI 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng

AAAI 2023 Rich Event Modeling for Script Event Prediction Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng

CVPR 2022 A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng

ICML 2022 Conditional GANs with Auxiliary Discriminative Classifier Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

IJCAI 2022 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

LoG 2022 Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman Zhaohui Wang, Qi Cao, Huawei Shen, Xu Bingbing, Muhan Zhang, Xueqi Cheng

AAAI 2021 AugSplicing: Synchronized Behavior Detection in Streaming Tensors Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng

AAAI 2021 Learning to Truncate Ranked Lists for Information Retrieval Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng

AAAI 2021 SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng

NeurIPS 2021 Self-Supervised GANs with Label Augmentation Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng

AAAI 2021 Sketch and Customize: A Counterfactual Story Generator Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng

AAAI 2021 Slimmable Generative Adversarial Networks Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang

AAAI 2021 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

CVPR 2021 Transformation Driven Visual Reasoning Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

NeurIPS 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan

AAAI 2020 Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract) Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng

IJCAI 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng

AAAI 2020 FlowScope: Spotting Money Laundering Based on Graphs Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng

AAAI 2020 Link Prediction Between Group Entities in Knowledge Graphs (Student Abstract) Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng

ICML 2020 On the Relation Between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng

ECML-PKDD 2020 SpecGreedy: Unified Dense Subgraph Detection Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

AAAI 2020 Structure Learning for Headline Generation Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng

AAAI 2019 An Adaptive Framework for Conversational Question Answering Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng

IJCAI 2019 BeatGAN: Anomalous Rhythm Detection Using Adversarially Generated Time Series Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye

ECML-PKDD 2019 CatchCore: Catching Hierarchical Dense Subtensor Wenjie Feng, Shenghua Liu, Xueqi Cheng

AAAI 2019 Differentiated Distribution Recovery for Neural Text Generation Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

IJCAI 2019 Graph Convolutional Networks Using Heat Kernel for Semi-Supervised Learning Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng

ICLR 2019 Graph Wavelet Neural Network Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng

AAAI 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng

AAAI 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng

IJCAI 2018 Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng

AAAI 2018 Fast Approximate Nearest Neighbor Search via K-Diverse Nearest Neighbor Graph Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

IJCAI 2018 NeuCast: Seasonal Neural Forecast of Power Grid Time Series Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng

IJCAI 2018 Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

AAAI 2018 Towards Efficient Detection of Overlapping Communities in Massive Networks Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng

IJCAI 2017 Cascade Dynamics Modeling with Attention-Based Recurrent Neural Network Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng

IJCAI 2017 Cross-Domain Recommendation: An Embedding and Mapping Approach Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng

IJCAI 2017 Learning Concise Representations of Users' Influences Through Online Behaviors Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao

ACML 2017 Locally Smoothed Neural Networks Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng

AAAI 2016 A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng

AAAI 2016 Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

AAAI 2016 Locally Adaptive Translation for Knowledge Graph Embedding Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng

IJCAI 2016 Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng

IJCAI 2016 Predict Anchor Links Across Social Networks via an Embedding Approach Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng

AAAI 2016 Predicting Links and Their Building Time: A Path-Based Approach Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng

AAAI 2016 SPAN: Understanding a Question with Its Support Answers Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

IJCAI 2016 Sparse Word Embeddings Using ℓ1 Regularized Online Learning Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

AAAI 2016 Text Matching as Image Recognition Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng

AAAI 2015 A Probabilistic Model for Bursty Topic Discovery in Microblogs Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

AAAI 2015 Learning User-Specific Latent Influence and Susceptibility from Information Cascades Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng

UAI 2014 Position-Aware ListMLE: A Sequential Learning Process for Ranking Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng

AAAI 2014 Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure Shenghua Liu, Xueqi Cheng, Fangtao Li

UAI 2013 Stochastic Rank Aggregation Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng

NeurIPS 2012 Statistical Consistency of Ranking Methods in a Rank-Differentiable Probability Space Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-yan Liu

IJCAI 2011 Multi-Select Faceted Navigation Based on Minimum Description Length Principle Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen

ECML-PKDD 2009 Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement Songbo Tan, Gaowei Wu, Xueqi Cheng