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Hongxia Yang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

100

Venues

19

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

100 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIBenchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions.Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang
2026AAAIInfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization.Yuhang Liu, Zeyu Liu, Shuanghe Zhu, Pengxiang Li, Congkai Xie, Jiasheng Wang, Xueyu Hu, Xiaotian Han, Jianbo Yuan, Xinyao Wang, Shengyu Zhang, Hongxia Yang, Fei Wu
2026AAAIEcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation.Biao Yi, Xueyu Hu, Yurun Chen, Shengyu Zhang, Hongxia Yang, Fan Wu
2026ACLInfiAgent: An Infinite-Horizon Framework for General-Purpose Autonomous Agents.Chenglin Yu, Yuchen Wang, Songmiao Wang, Hongxia Yang, Li Ming
2026EACLInfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection.Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu
2025ACLOS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025ACLDavIR: Data Selection via Implicit Reward for Large Language Models.Haotian Zhou, Tingkai Liu, Qianli Ma, Yufeng Zhang, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang
2025ICMLParallelComp: Parallel Long-Context Compressor for Length Extrapolation.Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong
2024AAAILearning to Reweight for Generalizable Graph Neural Network.Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2024ACLAn Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing.Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
2024ACLExpedited Training of Visual Conditioned Language Generation via Redundancy Reduction.Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang
2024ACLDeVAn: Dense Video Annotation for Video-Language Models.Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang
2024ACLInfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model.Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang
2024ACLLoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024ECIRAn Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation.Luo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang
2024ICLRLet Models Speak Ciphers: Multiagent Debate through Embeddings.Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2024ICLRLEMON: Lossless model expansion.Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
2024ICLRB-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
2024ICLRLearning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling.Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2024ICMLTwo Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation.Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He
2024ICMLInfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
2024ICMLSelf-Infilling Code Generation.Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong
2023CVPRRevisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens.Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang
2023WWWCogDL: A Comprehensive Library for Graph Deep Learning.Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
2023WWWDUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
2022CIKMIntra-session Context-aware Feed Recommendation in Live Systems.Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang
2022ECCVSingle Stage Virtual Try-On Via Deformable Attention Flows.Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang
2022ICLRReliable Adversarial Distillation with Unreliable Teachers.Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
2022ICMLModality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
2022ICMLOFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang
2022KDDGraphMAE: Self-Supervised Masked Graph Autoencoders.Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
2022KDDOAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang
2022KDDDevice-cloud Collaborative Recommendation via Meta Controller.Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang
2022PPoPPBaGuaLu: targeting brain scale pretrained models with over 37 million cores.Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen
2022WWWDeep Unified Representation for Heterogeneous Recommendation.Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
2022WWWSTAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation.Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang
2022WSDMUncovering Causal Effects of Online Short Videos on Consumer Behaviors.Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu
2021AAAIDynamic Memory based Attention Network for Sequential Recommendation.Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021AAAILearning with Group Noise.Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
2021ACLLearning Relation Alignment for Calibrated Cross-modal Retrieval.Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang
2021ACLSketch and Refine: Towards Faithful and Informative Table-to-Text Generation.Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang
2021CIKMReinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation.Luo Ji, Qi Qin, Bingqing Han, Hongxia Yang
2021CVPRConnecting Language and Vision for Natural Language-Based Vehicle Retrieval.Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang
2021CVPRGrounded, Controllable and Debiased Image Completion With Lexical Semantics.Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu
2021CVPRDeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality.Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu
2021ICMLKNAS: Green Neural Architecture Search.Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
2021ICMLLearning to Rehearse in Long Sequence Memorization.Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao
2021IPECUsing Big Data to Enhance the Targeted Research of College Students' Ideological Education.Hongxia Yang
2021KDDM6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang
2021KDDDevice-Cloud Collaborative Learning for Recommendation.Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang
2021KDDContrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems.Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang
2021KDDControllable Generation from Pre-trained Language Models via Inverse Prompting.Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
2021WWWControllable Gradient Item Retrieval.Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
2021WWWLinear-Time Self Attention with Codeword Histogram for Efficient Recommendation.Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang
2021WWWDeep Co-Attention Network for Multi-View Subspace Learning.Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
2021WSDMSparse-Interest Network for Sequential Recommendation.Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
2020CIKMBringing Order to Network Embedding: A Relative Ranking based Approach.Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu
2020ICDMInductive Granger Causal Modeling for Multivariate Time Series.Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang
2020ICLRVariational Autoencoders for Highly Multivariate Spatial Point Processes Intensities.Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang
2020IJCAIDress like an Internet Celebrity: Fashion Retrieval in Videos.Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu
2020KDDControllable Multi-Interest Framework for Recommendation.Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang
2020KDDLearning Stable Graphs from Multiple Environments with Selection Bias.Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu
2020KDDContinuous Treatment Effect Estimation via Generative Adversarial De-confounding.Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu
2020KDDDisentangled Self-Supervision in Sequential Recommenders.Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu
2020KDDGCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang
2020KDDUnderstanding Negative Sampling in Graph Representation Learning.Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang
2020KDDComprehensive Information Integration Modeling Framework for Video Titling.Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu
2020WWWTask-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding.Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Yao Lu, Xiaozhong Liu
2020WWWLearning to Hash with Graph Neural Networks for Recommender Systems.Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
2020SIGIRBiANE: Bipartite Attributed Network Embedding.Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, Hongxia Yang
2019ACLCognitive Graph for Multi-Hop Reading Comprehension at Scale.Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang
2019CIKMBayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang
2019EMNLPTowards Knowledge-Based Recommender Dialog System.Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
2019IJCAIHierarchical Representation Learning for Bipartite Graphs.Chong Li, Kunyang Jia, Dan Shen, Chuanjin Richard Shi, Hongxia Yang
2019IJCAILarge Scale Evolving Graphs with Burst Detection.Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang
2019KDDRepresentation Learning for Attributed Multiplex Heterogeneous Network.Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
2019KDDTowards Knowledge-Based Personalized Product Description Generation in E-commerce.Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
2019KDDSequential Scenario-Specific Meta Learner for Online Recommendation.Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang
2019KDDLearning From Networks: Algorithms, Theory, and Applications.Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019KDDIs a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019KDDAliGraph: A Comprehensive Graph Neural Network Platform.Hongxia Yang
2018CIKMPRRE: Personalized Relation Ranking Embedding for Attributed Networks.Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang
2018ICDMHeterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment.Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang
2018IJCAIANRL: Attributed Network Representation Learning via Deep Neural Networks.Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
2018KDDAdversarial Detection with Model Interpretation.Ninghao Liu, Hongxia Yang, Xia Hu
2018KDDInteractive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs.Zemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu, Jing Ying
2018KDDMobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs.Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang
2018KDDSPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan
2018WWWSubgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network.Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying
2017CIKMBayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction.Hongxia Yang
2017KDDA Practical Framework of Conversion Rate Prediction for Online Display Advertising.Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang
2017KDDA Hybrid Framework for Text Modeling with Convolutional RNN.Chenglong Wang, Feijun Jiang, Hongxia Yang
2017KDDLocal Algorithm for User Action Prediction Towards Display Ads.Hongxia Yang, Yada Zhu, Jingrui He
2016ICDMDynamic Contextual Multi Arm Bandits in Display Advertisement.Hongxia Yang, Quan Lu
2016KDDLarge Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features.Hongxia Yang, Quan Lu, Angus Xianen Qiu, Chun Han
2015KDDScalable Multidimensional Hierarchical Bayesian Modeling on Spark.Rbert Ormndi, Hongxia Yang, Quan Lu
2015KDDCo-Clustering based Dual Prediction for Cargo Pricing Optimization.Yada Zhu, Hongxia Yang, Jingrui He
2014ICDMLearning from Label and Feature Heterogeneity.Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu
2014KDDLearning with dual heterogeneity: a nonparametric bayes model.Hongxia Yang, Jingrui He
2011ICASSPCovariate-dependent dictionary learning and sparse coding.Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin