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Xu Chu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

74

Venues

18

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

74 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIEfficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models.Zhouxing Tan, Hanlin Xue, Yulong Wan, Ruochong Xiong, Xu Chu, Xiang Li, Junfei Liu
2026ACLTowards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization.Xu Chu, Guanyu Wang, Zhijie Tan, Xinrong Chen, Ziyu Li, Tong Mo, Weiping Li
2026ACLFOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning.Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu
2026ACLRADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes Domains.Zhijie Tan, Xu Chu, Guanyu Wang, Ziyu Li, Weiping Li, Tong Mo
2026ACLMuSe: Multi-Stage Graph Reasoning via Vision-Language Models.Guanyu Wang, Xu Chu, Zhijie Tan, Xinrong Chen, Tong Mo, Weiping Li
2026ACLDFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search.Zhibang Yang, Xinke Jiang, Rihong Qiu, Ruiqing Li, Yihang Zhang, Yue Fang, Yongxin Xu, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2026ACLRobust Explanations for User Trust in Enterprise NLP Systems.Guilin Zhang, Kai Zhao, Jeffrey Friedman, Xu Chu, Amine Anoun
2026DASFAANot All Neighbors are Temporally Relevant: An Adaptive Neighborhood Aggregation Framework for Dynamic Graph Learning.Bingce Wang, Weiping Li, Tong Mo, Xiang Yuan, Xu Chu, Liwen Zhang
2026DASFAAMORE-R1: Guiding LVLM for Multimodal Object-Entity Relation Extraction via Stepwise Reasoning with Reinforcement Learning.Xiang Yuan, Xu Chu, Xinrong Chen, Haochen Li, Zonghong Dai, Hongcheng Fan, Xiaoyue Yuan, Weiping Li, Tong Mo
2026ICDEBeyond Imputation: A Semantic Unification Framework for Data and its Missingness in Multimodal Healthcare Analytics.Chaohe Zhang, Liantao Ma, Shiwei Lyu, Xin Gao, Junfeng Zhao, Yasha Wang, Xu Chu
2026WWWAccurate and Efficient Personalized Query Rewriting in Baidu Search.Xu Chu, Angela Li, Jiaming Zhang, Wei Li, Zhijie Tan, Dawei Yin, Shuaiqiang Wang, Daiting Shi
2026WWWLLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems.Guilin Zhang, Kai Zhao, Jeffrey Friedman, Xu Chu
2026WWWRobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation.Guilin Zhang, Kai Zhao, Jeffrey Friedman, Xu Chu
2025AAAIKnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models.Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang
2025AAAIDearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations.Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2025ACLDomaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains.Xu Chu, Zhijie Tan, Hanlin Xue, Guanyu Wang, Tong Mo, Weiping Li
2025ACLRecurrent Knowledge Identification and Fusion for Language Model Continual Learning.Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu
2025ACLHyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses.Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2025ACLTC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems.Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang
2025ACLParenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning.Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2025EMNLP3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection.Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Weibin Liao, Xu Chu, Junfeng Zhao, Yasha Wang
2025EMNLPAIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning.Yujie Feng, Jian Li, Xiaoyu Dong, Pengfei Xu, Xiaohui Zhou, Yujia Zhang, Zexin Lu, Yasha Wang, Alan Zhao, Xu Chu, Xiao-Ming Wu
2025EMNLPGeoEdit: Geometric Knowledge Editing for Large Language Models.Yujie Feng, Li-Ming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu
2025ICASSPAdaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning.Xu Chu, Hanlin Xue, Bingce Wang, Xiaoyang Liu, Weiping Li, Tong Mo, Tuoyu Feng, Zhijie Tan
2025ICASSPFew-Shot Object Detection in Satellite Imagery with Feature Fusion Pyramid and Adaptive Region Proposal Networks.Tuoyu Feng, Weiping Li, Zhijie Tan, Liwen Zhang, Xiang Yuan, Xu Chu
2025ICASSPMitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions.Zhijie Tan, Yuzhi Li, Shengwei Meng, Xiang Yuan, Weiping Li, Tong Mo, Bingce Wang, Xu Chu
2025ICLRTPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees.Weibin Liao, Xu Chu, Yasha Wang
2025ICLRDRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing.Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang
2025ICMLEfficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation.Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang
2025IJCAIGame Theory Meets Large Language Models: A Systematic Survey.Haoran Sun, Yusen Wu, Yukun Cheng, Xu Chu
2025KDDLearnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.Weibin Liao, Yinghao Zhu, Zhongji Zhang, Yuhang Wang, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma
2025WWWAdaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories.Tianlong Wang, Xianfeng Jiao, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma
2025SIGMODLLM-DPM - Workshop on Large Language Models for Data Process Management.Faiza Allah Bukhsh, Paolo Ceravolo, Xu Chu, Samira Maghool, Eugene Wu, Cong Yu
2025SIGMODPrompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings.Jeffery Cao, Lampros Flokas, Yujian Xu, Eugene Wu, Xu Chu, Cong Yu
2024ACLTaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation.Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu
2024ACLCombating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation.Yang Lin, Xinyu Ma, Xin Gao, Ruiqing Li, Yasha Wang, Xu Chu
2024ICDEEnhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning.Xin Gao, Yang Lin, Ruiqing Li, Yasha Wang, Xu Chu, Xinyu Ma, Hailong Yu
2024ICMLParameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation.Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao
2024ICMLDisentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet.Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu
2024IJCAITemporal Domain Generalization via Learning Instance-level Evolving Patterns.Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma
2024KDDProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup.Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2023ACLEnhancing Neural Topic Model with Multi-Level Supervisions from Seed Words.Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen
2023CVPRImproving Generalization of Meta-Learning with Inverted Regularization at Inner-Level.Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu
2023ICLRLearning Hyper Label Model for Programmatic Weak Supervision.Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu
2023ICMLWasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks.Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei
2023ICPMDiscovering Process-Based Drivers for Case-Level Outcome Explanation.Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu
2023WWWSeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data.Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2022ICDEA Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions.Shuang Hao, Peng Li, Renzhi Wu, Xu Chu
2022ICDMEnhancing Robust Text Classification via Category Description.Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao
2022ICMLDNA: Domain Generalization with Diversified Neural Averaging.Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei
2022IJCAIDomain Generalization through the Lens of Angular Invariance.Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu
2022KDDM3Care: Learning with Missing Modalities in Multimodal Healthcare Data.Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
2021ICDECleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks.Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang
2021SIGMODAuto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
2021SIGMODOmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning.Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
2021SIGMODFairRover: explorative model building for fair and responsible machine learning.Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh
2020CIKMSet-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation.Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu
2020ICDENeighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining.Yuanduo He, Xu Chu, Yasha Wang
2020ICMLDistance Metric Learning with Joint Representation Diversification.Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong
2020SIGMODGOGGLES: Automatic Image Labeling with Affinity Coding.Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2020SIGMODZeroER: Entity Resolution using Zero Labeled Examples.Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
2019CIKMSTAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu
2019IJCAIMLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao
2019SIGMODPIClean: A Probabilistic and Interactive Data Cleaning System.Zhuoran Yu, Xu Chu
2018COMPSACMining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach.Yuanduo He, Xu Chu, Guangju Peng, Yasha Wang, Zhu Jin, Xiaorong Wang
2018ICDMCharacteristic Subspace Learning for Time Series Classification.Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng
2018PAKDDCAPED: Context-Aware Powerlet-Based Energy Disaggregation.Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao
2018SIGMODTransform-Data-by-Example (TDE): Extensible Data Transformation in Excel.Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng
2016SIGMODData Cleaning: Overview and Emerging Challenges.Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang
2016SIGMODCLAMS: Bringing Quality to Data Lakes.Mina H. Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu
2015SIGMODTEGRA: Table Extraction by Global Record Alignment.Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam
2015SIGMODKATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing.Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye
2014ICDERuleMiner: Data quality rules discovery.Xu Chu, Ihab F. Ilyas, Paolo Papotti, Yin Ye
2013ICDEHolistic data cleaning: Putting violations into context.Xu Chu, Ihab F. Ilyas, Paolo Papotti