Definition and Application of a Comprehensive Framework for Distributed Problem Solving. - Hongxia Yang; Chengqi Zhang (DAI, 1995)

Application of MAS in Implementing Rational IP Routers on the Priced Internet. - Hongxia Yang; Chengqi Zhang (DAI, 1996)

Covariate-dependent dictionary learning and sparse coding. - Mingyuan Zhou; Hongxia Yang; Guillermo Sapiro; David B. Dunson; Lawrence Carin (ICASSP, 2011)

Dependent Hierarchical Beta Process for Image Interpolation and Denoising. - Mingyuan Zhou; Hongxia Yang; Guillermo Sapiro; David B. Dunson; Lawrence Carin (AISTATS, 2011)

Enterprise After-Sales Management System Based on J2EE. - Hongxia Yang; Ping Mu; Yuqing Sun (ICICA (2), 2013)

Learning from Label and Feature Heterogeneity. - Pei Yang 001; Jingrui He; Hongxia Yang; Haoda Fu (ICDM, 2014)

Learning with dual heterogeneity: a nonparametric bayes model. - Hongxia Yang; Jingrui He (KDD, 2014)

Adaptive sampling for Bayesian geospatial models. - Hongxia Yang; Fei Liu 025; Chunlin Ji; David B. Dunson (Stat. Comput., 2014)

Scalable Multidimensional Hierarchical Bayesian Modeling on Spark. - Róbert Ormándi; Hongxia Yang; Quan Lu (BigMine, 2015)

Co-Clustering based Dual Prediction for Cargo Pricing Optimization. - Yada Zhu; Hongxia Yang; Jingrui He (KDD, 2015)

Dynamic building energy consumption forecast using weather forecast interpolations. - Rui Zhang; Hongxia Yang (SmartGridComm, 2015)

Dynamic Contextual Multi Arm Bandits in Display Advertisement. - Hongxia Yang; Quan Lu (ICDM, 2016)

Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features. - Hongxia Yang; Quan Lu; Angus Xianen Qiu; Chun Han (BigMine, 2016)

Bayesian Hierarchical Kernelized Probabilistic Matrix Factorization. - Hongxia Yang; Jun Wang (Commun. Stat. Simul. Comput., 2016)

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. - Pei Yang 001; Hongxia Yang; Haoda Fu; Dawei Zhou 003; Jieping Ye; Theodoros Lappas; Jingrui He (ACM Trans. Knowl. Discov. Data, 2016)

Bayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction. - Hongxia Yang (CIKM, 2017)

A Practical Framework of Conversion Rate Prediction for Online Display Advertising. - Quan Lu; Shengjun Pan; Liang Wang; Junwei Pan; Fengdan Wan; Hongxia Yang (ADKDD@KDD, 2017)

A Hybrid Framework for Text Modeling with Convolutional RNN. - Chenglong Wang; Feijun Jiang; Hongxia Yang (KDD, 2017)

Local Algorithm for User Action Prediction Towards Display Ads. - Hongxia Yang; Yada Zhu; Jingrui He (KDD, 2017)

PRRE: Personalized Relation Ranking Embedding for Attributed Networks. - Sheng Zhou 004; Hongxia Yang; Xin Wang 019; Jiajun Bu; Martin Ester; Pinggang Yu; Jianwei Zhang 012; Can Wang 001 (CIKM, 2018)

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. - Vincent W. Zheng; Mo Sha 002; Yuchen Li 001; Hongxia Yang; Yuan Fang 001; Zhenjie Zhang; Kian-Lee Tan; Kevin Chen-Chuan Chang (ICDM, 2018)

ANRL: Attributed Network Representation Learning via Deep Neural Networks. - Zhen Zhang 023; Hongxia Yang; Jiajun Bu; Sheng Zhou 004; Pinggang Yu; Jianwei Zhang 012; Martin Ester; Can Wang 001 (IJCAI, 2018)

Adversarial Detection with Model Interpretation. - Ninghao Liu; Hongxia Yang; Xia Hu 001 (KDD, 2018)

Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs. - Zemin Liu; Vincent W. Zheng; Zhou Zhao 001; Zhao Li 007; Hongxia Yang; Minghui Wu 001; Jing Ying (KDD, 2018)

Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. - Xin Shen; Hongxia Yang; Weizhao Xian; Martin Ester; Jiajun Bu; Zhongyao Wang; Can Wang 001 (KDD, 2018)

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization. - Dawei Zhou 003; Jingrui He; Hongxia Yang; Wei Fan 001 (KDD, 2018)

Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. - Zemin Liu; Vincent W. Zheng; Zhou Zhao 001; Hongxia Yang; Kevin Chen-Chuan Chang; Minghui Wu 001; Jing Ying (WWW, 2018)

Will Triadic Closure Strengthen Ties in Social Networks? - Hong Huang 001; Yuxiao Dong; Jie Tang 001; Hongxia Yang; Nitesh V. Chawla; Xiaoming Fu 001 (ACM Trans. Knowl. Discov. Data, 2018)

Cognitive Graph for Multi-Hop Reading Comprehension at Scale. - Ming Ding 004; Chang Zhou; Qibin Chen; Hongxia Yang; Jie Tang 001 (ACL (1), 2019)

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. - Yuting Ye; Xuwu Wang; Jiangchao Yao; Kunyang Jia; Jingren Zhou 001; Yanghua Xiao; Hongxia Yang (CIKM, 2019)

Towards Knowledge-Based Recommender Dialog System. - Qibin Chen; Junyang Lin; Yichang Zhang; Ming Ding 004; Yukuo Cen; Hongxia Yang; Jie Tang 001 (EMNLP/IJCNLP (1), 2019)

Hierarchical Representation Learning for Bipartite Graphs. - Chong Li; Kunyang Jia; Dan Shen; Chuanjin Richard Shi; Hongxia Yang (IJCAI, 2019)

Large Scale Evolving Graphs with Burst Detection. - Yifeng Zhao; Xiangwei Wang; Hongxia Yang; Le Song; Jie Tang 001 (IJCAI, 2019)

Representation Learning for Attributed Multiplex Heterogeneous Network. - Yukuo Cen; Xu Zou 001; Jianwei Zhang 012; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (KDD, 2019)

Towards Knowledge-Based Personalized Product Description Generation in E-commerce. - Qibin Chen; Junyang Lin; Yichang Zhang; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (KDD, 2019)

Sequential Scenario-Specific Meta Learner for Online Recommendation. - Zhengxiao Du; Xiaowei Wang; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (KDD, 2019)

Learning From Networks: Algorithms, Theory, and Applications. - Xiao Huang 001; Peng Cui 001; Yuxiao Dong; Jundong Li; Huan Liu 001; Jian Pei 001; Le Song; Jie Tang 001; Fei Wang 001; Hongxia Yang; Wenwu Zhu 001 (KDD, 2019)

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. - Ninghao Liu; Qiaoyu Tan; Yuening Li; Hongxia Yang; Jingren Zhou 001; Xia Hu 001 (KDD, 2019)

AliGraph: A Comprehensive Graph Neural Network Platform. - Hongxia Yang (KDD, 2019)

Learning Disentangled Representations for Recommendation. - Jianxin Ma; Chang Zhou; Peng Cui 001; Hongxia Yang; Wenwu Zhu 001 (NeurIPS, 2019)

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. - Zhengxiao Du; Chang Zhou; Ming Ding 004; Hongxia Yang; Jie Tang 001 (CoRR, 2019)

AliGraph: A Comprehensive Graph Neural Network Platform. - Rong Zhu; Kun Zhao; Hongxia Yang; Wei Lin 016; Chang Zhou; Baole Ai; Yong Li 020; Jingren Zhou 001 (Proc. VLDB Endow., 2019)

Bringing Order to Network Embedding: A Relative Ranking based Approach. - Yaojing Wang; Guosheng Pan; Yuan Yao 001; Hanghang Tong; Hongxia Yang; Feng Xu 007; Jian Lu 001 (CIKM, 2020)

Inductive Granger Causal Modeling for Multivariate Time Series. - Yunfei Chu; Xiaowei Wang; Jianxin Ma; Kunyang Jia; Jingren Zhou 001; Hongxia Yang (ICDM, 2020)

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. - Baichuan Yuan; Xiaowei Wang; Jianxin Ma; Chang Zhou; Andrea L. Bertozzi; Hongxia Yang (ICLR, 2020)

Dress like an Internet Celebrity: Fashion Retrieval in Videos. - Hongrui Zhao; Jin Yu; Yanan Li 002; Donghui Wang; Jie Liu 002; Hongxia Yang; Fei Wu 001 (IJCAI, 2020)

Controllable Multi-Interest Framework for Recommendation. - Yukuo Cen; Jianwei Zhang 012; Xu Zou 001; Chang Zhou; Hongxia Yang; Jie Tang 001 (KDD, 2020)

Learning Stable Graphs from Multiple Environments with Selection Bias. - Yue He 001; Peng Cui 001; Jianxin Ma; Hao Zou 001; Xiaowei Wang; Hongxia Yang; Philip S. Yu (KDD, 2020)

Disentangled Self-Supervision in Sequential Recommenders. - Jianxin Ma; Chang Zhou; Hongxia Yang; Peng Cui 001; Xin Wang 019; Wenwu Zhu 001 (KDD, 2020)

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. - Jiezhong Qiu; Qibin Chen; Yuxiao Dong; Jing Zhang 001; Hongxia Yang; Ming Ding 004; Kuansan Wang; Jie Tang 001 (KDD, 2020)

Understanding Negative Sampling in Graph Representation Learning. - Zhen Yang 034; Ming Ding 004; Chang Zhou; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (KDD, 2020)

Comprehensive Information Integration Modeling Framework for Video Titling. - Shengyu Zhang 001; Ziqi Tan; Zhou Zhao 001; Jin Yu; Kun Kuang; Tan Jiang; Jingren Zhou 001; Hongxia Yang; Fei Wu 001 (KDD, 2020)

DeVLBert: Learning Deconfounded Visio-Linguistic Representations. - Shengyu Zhang 001; Tan Jiang; Tan Wang; Kun Kuang; Zhou Zhao 001; Jianke Zhu; Jin Yu; Hongxia Yang; Fei Wu 001 (ACM Multimedia, 2020)

Poet: Product-oriented Video Captioner for E-commerce. - Shengyu Zhang 001; Ziqi Tan; Jin Yu; Zhou Zhao 001; Kun Kuang; Jie Liu 002; Jingren Zhou 001; Hongxia Yang; Fei Wu 001 (ACM Multimedia, 2020)

CogLTX: Applying BERT to Long Texts. - Ming Ding 004; Chang Zhou; Hongxia Yang; Jie Tang 001 (NeurIPS, 2020)

Counterfactual Prediction for Bundle Treatment. - Hao Zou 001; Peng Cui 001; Bo Li 064; Zheyan Shen; Jianxin Ma; Hongxia Yang; Yue He 001 (NeurIPS, 2020)

Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation. - Yugang Ji; Mingyang Yin; Yuan Fang 001; Hongxia Yang; Xiangwei Wang; Tianrui Jia; Chuan Shi 001 (ECML/PKDD (3), 2020)

BiANE: Bipartite Attributed Network Embedding. - Wentao Huang; Yuchen Li 001; Yuan Fang 001; Ju Fan; Hongxia Yang (SIGIR, 2020)

Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding. - Zhuoren Jiang; Zheng Gao 001; Jinjiong Lan; Hongxia Yang; Yao Lu 007; Xiaozhong Liu (WWW, 2020)

Learning to Hash with Graph Neural Networks for Recommender Systems. - Qiaoyu Tan; Ninghao Liu; Xing Zhao 003; Hongxia Yang; Jingren Zhou 001; Xia Hu 001 (WWW, 2020)

Grounded and Controllable Image Completion by Incorporating Lexical Semantics. - Shengyu Zhang 001; Tan Jiang; Qinghao Huang; Ziqi Tan; Zhou Zhao 001; Siliang Tang; Jin Yu; Hongxia Yang; Yi Yang 001; Fei Wu 001 (CoRR, 2020)

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining. - Junyang Lin; An Yang; Yichang Zhang; Jie Liu 002; Jingren Zhou 001; Hongxia Yang (CoRR, 2020)

Contrastive Learning for Debiased Candidate Generation at Scale. - Chang Zhou; Jianxin Ma; Jianwei Zhang 012; Jingren Zhou 001; Hongxia Yang (CoRR, 2020)

Variational Auto-encoder for Recommender Systems with Exploration-Exploitation. - Yizi Zhang; Hongxia Yang; Meimei Liu (CoRR, 2020)

A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning. - Xuandong Zhao; Jinbao Xue; Jin Yu; Xi Li; Hongxia Yang (CoRR, 2020)

DVE: Dynamic Variational Embeddings with Applications in Recommender Systems. - Meimei Liu; Hongxia Yang (CoRR, 2020)

Graph-based Multi-hop Reasoning for Long Text Generation. - Liang Zhao; Jingjing Xu 001; Junyang Lin; Yichang Zhang; Hongxia Yang; Xu Sun 001 (CoRR, 2020)

Trust Relationship Prediction in Alibaba E-Commerce Platform. - Yukuo Cen; Jing Zhang 001; Gaofei Wang; Yujie Qian; Chuizheng Meng; Zonghong Dai; Hongxia Yang; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Dynamic Memory based Attention Network for Sequential Recommendation. - Qiaoyu Tan; Jianwei Zhang 012; Ninghao Liu; Xiao Huang 001; Hongxia Yang; Jingren Zhou 001; Xia Hu 001 (AAAI, 2021)

Learning with Group Noise. - Qizhou Wang; Jiangchao Yao; Chen Gong 002; Tongliang Liu; Mingming Gong; Hongxia Yang; Bo Han 003 (AAAI, 2021)

Learning Relation Alignment for Calibrated Cross-modal Retrieval. - Shuhuai Ren; Junyang Lin; Guangxiang Zhao; Rui Men; An Yang; Jingren Zhou 001; Xu Sun 001; Hongxia Yang (ACL/IJCNLP (1), 2021)

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. - Peng Wang 028; Junyang Lin; An Yang; Chang Zhou; Yichang Zhang; Jingren Zhou 001; Hongxia Yang (ACL/IJCNLP (Findings), 2021)

Evaluation Index of Algorithm Performance in Building Energy Saving Optimization Design. - Hai Zheng; Hongxia Yang (ATCI (1), 2021)

Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. - Luo Ji; Qi Qin; Bingqing Han; Hongxia Yang (CIKM, 2021)

Connecting 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 001 (CVPR Workshops, 2021)

Grounded, Controllable and Debiased Image Completion With Lexical Semantics. - Shengyu Zhang 001; Tan Jiang; Qinghao Huang; Ziqi Tan; Kun Kuang; Zhou Zhao 001; Siliang Tang; Jin Yu; Hongxia Yang; Yi Yang 001; Fei Wu 001 (CVPR Workshops, 2021)

DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality. - Shengyu Zhang 001; Tan Jiang; Tan Wang; Kun Kuang; Zhou Zhao 001; Jianke Zhu; Jin Yu; Hongxia Yang; Fei Wu 001 (CVPR Workshops, 2021)

KNAS: Green Neural Architecture Search. - Jingjing Xu 001; Liang Zhao; Junyang Lin; Rundong Gao; Xu Sun 001; Hongxia Yang (ICML, 2021)

Learning to Rehearse in Long Sequence Memorization. - Zhu Zhang; Chang Zhou; Jianxin Ma; Zhijie Lin 001; Jingren Zhou 001; Hongxia Yang; Zhou Zhao 001 (ICML, 2021)

Using Big Data to Enhance the Targeted Research of College Students' Ideological Education. - Hongxia Yang (IPEC, 2021)

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. - Junyang Lin; Rui Men; An Yang; Chang Zhou; Yichang Zhang; Peng Wang 028; Jingren Zhou 001; Jie Tang 001; Hongxia Yang (KDD, 2021)

Device-Cloud Collaborative Learning for Recommendation. - Jiangchao Yao; Feng Wang 072; Kunyang Jia; Bo Han 003; Jingren Zhou 001; Hongxia Yang (KDD, 2021)

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. - Chang Zhou; Jianxin Ma; Jianwei Zhang 012; Jingren Zhou 001; Hongxia Yang (KDD, 2021)

Controllable Generation from Pre-trained Language Models via Inverse Prompting. - Xu Zou 001; Da Yin; Qingyang Zhong; Hongxia Yang; Zhilin Yang 001; Jie Tang 001 (KDD, 2021)

CogView: Mastering Text-to-Image Generation via Transformers. - Ming Ding 004; Zhuoyi Yang; Wenyi Hong; Wendi Zheng; Chang Zhou; Da Yin; Junyang Lin; Xu Zou 001; Zhou Shao; Hongxia Yang; Jie Tang 001 (NeurIPS, 2021)

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. - Zhu Zhang; Jianxin Ma; Chang Zhou; Rui Men; Zhikang Li; Ming Ding 004; Jie Tang 001; Jingren Zhou 001; Hongxia Yang (NeurIPS, 2021)

Sparse-Interest Network for Sequential Recommendation. - Qiaoyu Tan; Jianwei Zhang 012; Jiangchao Yao; Ninghao Liu; Jingren Zhou 001; Hongxia Yang; Xia Hu 001 (WSDM, 2021)

Controllable Gradient Item Retrieval. - Haonan Wang; Chang Zhou; Carl Yang 001; Hongxia Yang; Jingrui He (WWW, 2021)

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. - Yongji Wu; Defu Lian; Neil Zhenqiang Gong; Lu Yin; Mingyang Yin; Jingren Zhou 001; Hongxia Yang (WWW, 2021)

Deep Co-Attention Network for Multi-View Subspace Learning. - Lecheng Zheng; Yu Cheng; Hongxia Yang; Nan Cao 001; Jingrui He (WWW, 2021)

Understanding the Interaction of Adversarial Training with Noisy Labels. - Jianing Zhu; Jingfeng Zhang; Bo Han 003; Tongliang Liu; Gang Niu 001; Hongxia Yang; Mohan S. Kankanhalli; Masashi Sugiyama (CoRR, 2021)

M6: A Chinese Multimodal Pretrainer. - Junyang Lin; Rui Men; An Yang; Chang Zhou; Ming Ding 004; Yichang Zhang; Peng Wang 028; Ang Wang; Le Jiang; Xianyan Jia; Jie Zhang 078; Jianwei Zhang 012; et al. (CoRR, 2021)

CogDL: An Extensive Toolkit for Deep Learning on Graphs. - Yukuo Cen; Zhenyu Hou; Yan Wang 120; Qibin Chen; Yizhen Luo; Xingcheng Yao; Aohan Zeng; Shiguang Guo; Peng Zhang 077; Guohao Dai; Yu Wang 002; Chang Zhou; et al. (CoRR, 2021)

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models. - Xiao Liu 036; Da Yin; Xingjian Zhang 009; Kai Su; Kan Wu; Hongxia Yang; Jie Tang 001 (CoRR, 2021)

Contrastive Conditional Transport for Representation Learning. - Huangjie Zheng; Xu Chen 026; Jiangchao Yao; Hongxia Yang; Chunyuan Li; Ya Zhang 002; Hao Zhang 050; Ivor W. Tsang; Jingren Zhou 001; Mingyuan Zhou (CoRR, 2021)

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. - Lu Wang 029; Xiaofu Chang; Shuang Li 002; Yunfei Chu; Hui Li 061; Wei Zhang 012; Xiaofeng He; Le Song; Jingren Zhou 001; Hongxia Yang (CoRR, 2021)

Federated Graph Learning - A Position Paper. - Huanding Zhang; Tao Shen 002; Fei Wu 001; Mingyang Yin; Hongxia Yang; Chao Wu 001 (CoRR, 2021)

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. - Yongji Wu; Lu Yin; Defu Lian; Mingyang Yin; Neil Zhenqiang Gong; Jingren Zhou 001; Hongxia Yang (CoRR, 2021)

Exploring Sparse Expert Models and Beyond. - An Yang; Junyang Lin; Rui Men; Chang Zhou; Le Jiang; Xianyan Jia; Ang Wang; Jie Zhang 078; Jiamang Wang; Yong Li 020; Di Zhang; Wei Lin 016; et al. (CoRR, 2021)

Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. - Luo Ji; Qin Qi; Bingqing Han; Hongxia Yang (CoRR, 2021)

MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. - Zeyuan Chen; Jiangchao Yao; Feng Wang 072; Kunyang Jia; Bo Han 003; Wei Zhang; Hongxia Yang (CoRR, 2021)

Dynamic Sequential Graph Learning for Click-Through Rate Prediction. - Yunfei Chu; Xiaofu Chang; Kunyang Jia; Jingzhen Zhou; Hongxia Yang (CoRR, 2021)

Click-through Rate Prediction with Auto-Quantized Contrastive Learning. - Yujie Pan 001; Jiangchao Yao; Bo Han 003; Kunyang Jia; Ya Zhang 002; Hongxia Yang (CoRR, 2021)

Stable Prediction on Graphs with Agnostic Distribution Shift. - Shengyu Zhang 001; Kun Kuang; Jiezhong Qiu; Jin Yu; Zhou Zhao 001; Hongxia Yang; Zhongfei Zhang; Fei Wu 001 (CoRR, 2021)

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. - Junyang Lin; An Yang; Jinze Bai; Chang Zhou; Le Jiang; Xianyan Jia; Ang Wang; Jie Zhang 078; Yong Li 020; Wei Lin 016; Jingren Zhou 001; Hongxia Yang (CoRR, 2021)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (CoRR, 2021)

Cross-domain User Preference Learning for Cold-start Recommendation. - Huiling Zhou; Jie Liu; Zhikang Li; Jin Yu; Hongxia Yang (CoRR, 2021)

Continuous treatment effect estimation via generative adversarial de-confounding. - Kun Kuang; Yunzhe Li 003; Bo Li 064; Peng Cui 001; Hongxia Yang; Jianrong Tao; Fei Wu 001 (Data Min. Knowl. Discov., 2021)

Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. - Yugang Ji; Mingyang Yin; Hongxia Yang; Jingren Zhou 001; Vincent W. Zheng; Chuan Shi 001; Yuan Fang 001 (ACM Trans. Knowl. Discov. Data, 2021)

Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. - Yemin Yu; Kun Kuang; Jiangchao Yang; Zeke Wang; Kunyang Jia; Weiming Lu 001; Hongxia Yang; Fei Wu 001 (CICAI (2), 2022)

Intra-session Context-aware Feed Recommendation in Live Systems. - Luo Ji; Gao Liu; Mingyang Yin; Hongxia Yang (CIKM, 2022)

Single Stage Virtual Try-On Via Deformable Attention Flows. - Shuai Bai; Huiling Zhou; Zhikang Li; Chang Zhou; Hongxia Yang (ECCV (15), 2022)

Reliable Adversarial Distillation with Unreliable Teachers. - Jianing Zhu; Jiangchao Yao; Bo Han 003; Jingfeng Zhang; Tongliang Liu; Gang Niu 001; Jingren Zhou 001; Jianliang Xu; Hongxia Yang (ICLR, 2022)

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). - Yu Huang 023; Junyang Lin; Chang Zhou; Hongxia Yang; Longbo Huang (ICML, 2022)

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. - Peng Wang 028; An Yang; Rui Men; Junyang Lin; Shuai Bai; Zhikang Li; Jianxin Ma; Chang Zhou; Jingren Zhou 001; Hongxia Yang (ICML, 2022)

GraphMAE: Self-Supervised Masked Graph Autoencoders. - Zhenyu Hou; Xiao Liu 036; Yukuo Cen; Yuxiao Dong; Hongxia Yang; Chunjie Wang; Jie Tang 001 (KDD, 2022)

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. - Xiao Liu 036; Da Yin; Jingnan Zheng; Xingjian Zhang 009; Peng Zhang 077; Hongxia Yang; Yuxiao Dong; Jie Tang 001 (KDD, 2022)

Device-cloud Collaborative Recommendation via Meta Controller. - Jiangchao Yao; Feng Wang 072; Xichen Ding; Shaohu Chen; Bo Han 003; Jingren Zhou 001; Hongxia Yang (KDD, 2022)

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. - Xiao Pan; Peike Li; Zongxin Yang; Huiling Zhou; Chang Zhou; Hongxia Yang; Jingren Zhou 001; Yi Yang 001 (ACM Multimedia, 2022)

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. - Yifan Wang 014; Yifang Qin; Yu Han; Mingyang Yin; Jingren Zhou 001; Hongxia Yang; Ming Zhang 004 (ECML/PKDD (1), 2022)

BaGuaLu: targeting brain scale pretrained models with over 37 million cores. - Zixuan Ma; Jiaao He; Jiezhong Qiu; Huanqi Cao; Yuanwei Wang; Zhenbo Sun; Liyan Zheng 001; Haojie Wang; Shizhi Tang; Tianyu Zheng; Junyang Lin; Guanyu Feng; et al. (PPoPP, 2022)

Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. - Ziqi Tan; Shengyu Zhang 001; Nuanxin Hong; Kun Kuang; Yifan Yu; Jin Yu; Zhou Zhao 001; Hongxia Yang; Shiyuan Pan; Jingren Zhou 001; Fei Wu 001 (WSDM, 2022)

Deep Unified Representation for Heterogeneous Recommendation. - Chengqiang Lu; Mingyang Yin; Shuheng Shen; Luo Ji; Qi Liu 003; Hongxia Yang (WWW, 2022)

STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. - Zhen Yang 034; Ming Ding 004; Bin Xu 001; Hongxia Yang; Jie Tang 001 (WWW, 2022)

MSS-WISN: Multiscale Multistaining WBCs Instance Segmentation Network. - Meng Zhao 001; Hongxia Yang; Fan Shi 001; Xinpeng Zhang 003; Yao Zhang 021; Xuguo Sun; Hao Wang 003 (IEEE Access, 2022)

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. - Peng Wang 028; An Yang; Rui Men; Junyang Lin; Shuai Bai; Zhikang Li; Jianxin Ma; Chang Zhou; Jingren Zhou 001; Hongxia Yang (CoRR, 2022)

M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems. - Zeyu Cui; Jianxin Ma; Chang Zhou; Jingren Zhou 001; Hongxia Yang (CoRR, 2022)

M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing. - Zhikang Li; Huiling Zhou; Shuai Bai; Peike Li; Chang Zhou; Hongxia Yang (CoRR, 2022)

Instance-wise Prompt Tuning for Pretrained Language Models. - Yuezihan Jiang; Hao Yang; Junyang Lin; Hanyu Zhao; An Yang; Chang Zhou; Hongxia Yang; Zhi Yang 001; Bin Cui 001 (CoRR, 2022)

Knowledge Distillation of Transformer-based Language Models Revisited. - Chengqiang Lu; Jianwei Zhang 012; Yunfei Chu; Zhengyu Chen 001; Jingren Zhou 001; Fei Wu 001; Haiqing Chen; Hongxia Yang (CoRR, 2022)

Prompt Tuning for Generative Multimodal Pretrained Models. - Hao Yang 006; Junyang Lin; An Yang; Peng Wang 028; Chang Zhou; Hongxia Yang (CoRR, 2022)

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. - Zheqi Lv; Feng Wang 072; Shengyu Zhang 001; Kun Kuang; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. - Zheqi Lv; Feng Wang 072; Kun Kuang; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A ∗ Algorithm. - Hongxia Yang; Xingqiang Teng (J. Robotics, 2022)

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. - Yuxiao Chen 002; Jianbo Yuan; Yu Tian 003; Shijie Geng; Xinyu Li; Ding Zhou; Dimitris N. Metaxas; Hongxia Yang (CVPR, 2023)

Stable Prediction on Graphs with Agnostic Distribution Shifts. - Shengyu Zhang 001; Yunze Tong; Kun Kuang; Fuli Feng; Jiezhong Qiu; Jin Yu; Zhou Zhao 001; Hongxia Yang; Zhongfei Zhang; Fei Wu 001 (CDPD, 2023)

CogDL: A Comprehensive Library for Graph Deep Learning. - Yukuo Cen; Zhenyu Hou; Yan Wang 120; Qibin Chen; Yizhen Luo; Zhongming Yu; Hengrui Zhang; Xingcheng Yao; Aohan Zeng; Shiguang Guo; Yuxiao Dong; Yang Yang 009; et al. (WWW, 2023)

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. - Zheqi Lv; Wenqiao Zhang; Shengyu Zhang 001; Kun Kuang; Feng Wang 072; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Beng Chin Ooi; Fei Wu 001 (WWW, 2023)

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. - Zishun Yu; Yunzhe Tao; Liyu Chen; Tao Sun 008; Hongxia Yang (CoRR, 2023)

SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. - Yiren Jian; Tingkai Liu; Yunzhe Tao; Soroush Vosoughi; Hongxia Yang (CoRR, 2023)

Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling. - Haogeng Liu; Qihang Fan; Tingkai Liu; Linjie Yang; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2023)

Video-CSR: Complex Video Digest Creation for Visual-Language Models. - Tingkai Liu; Yunzhe Tao; Haogeng Liu; Qihang Fan; Ding Zhou; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2023)

Let's reward step by step: Step-Level reward model as the Navigators for Reasoning. - Qianli Ma; Haotian Zhou; Tingkai Liu; Jianbo Yuan; Pengfei Liu; Yang You 001; Hongxia Yang (CoRR, 2023)

LoBaSS: Gauging Learnability in Supervised Fine-tuning Data. - Haotian Zhou; Tingkai Liu; Qianli Ma; Jianbo Yuan; Pengfei Liu; Yang You 001; Hongxia Yang (CoRR, 2023)

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. - Ruohong Zhang; Luyu Gao; Chen Zheng; Zhen Fan 003; Guokun Lai; Zheng Zhang; Fangzhou Ai; Yiming Yang; Hongxia Yang (CoRR, 2023)

CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. - Xiaotian Han; Quanzeng You; Yongfei Liu; Wentao Chen; Huangjie Zheng; Khalil Mrini; Xudong Lin 007; Yiqi Wang 004; Bohan Zhai; Jianbo Yuan; Heng Wang; Hongxia Yang (CoRR, 2023)

Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis. - Xiaohui Chen; Yongfei Liu; Yingxiang Yang; Jianbo Yuan; Quanzeng You; Li-Ping Liu 001; Hongxia Yang (CoRR, 2023)

Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. - Tianqi Chen; Yongfei Liu; Zhendong Wang; Jianbo Yuan; Quanzeng You; Hongxia Yang; Mingyuan Zhou (CoRR, 2023)

Learning to Reweight for Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (CoRR, 2023)

T-Net: Hierarchical Pyramid Network for Microaneurysm Detection in Retinal Fundus Image. - Xinpeng Zhang 003; Meng Zhao 001; Yao Zhang 021; Ji Ao; Hongxia Yang; Congcong Wang; Shengyong Chen (IEEE Trans. Instrum. Meas., 2023)

CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. - Zhengxiao Du; Chang Zhou; Jiangchao Yao; Teng Tu; Letian Cheng; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Contrastive Attraction and Contrastive Repulsion for Representation Learning. - Huangjie Zheng; Xu Chen 026; Jiangchao Yao; Hongxia Yang; Chunyuan Li; Ya Zhang 002; Hao Zhang 050; Ivor W. Tsang; Jingren Zhou 001; Mingyuan Zhou (Trans. Mach. Learn. Res., 2023)

Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. - Zhen Yang 034; Ming Ding 004; Xu Zou 001; Jie Tang 001; Bin Xu 001; Chang Zhou; Hongxia Yang (IEEE Trans. Knowl. Data Eng., 2023)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (IEEE Trans. Knowl. Data Eng., 2023)

Personalized Latent Structure Learning for Recommendation. - Shengyu Zhang 001; Fuli Feng; Kun Kuang; Wenqiao Zhang; Zhou Zhao 001; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning to Reweight for Generalizable Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (AAAI, 2024)

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. - Ziwei Chai; Guoyin Wang 002; Jing Su; Tianjie Zhang; Xuanwen Huang; Xuwu Wang; Jingjing Xu; Jianbo Yuan; Hongxia Yang; Fei Wu 001; Yang Yang 009 (ACL (1), 2024)

Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. - Yiren Jian; Tingkai Liu; Yunzhe Tao; Chunhui Zhang; Soroush Vosoughi; Hongxia Yang (ACL (1), 2024)

DeVAn: Dense Video Annotation for Video-Language Models. - Tingkai Liu; Yunzhe Tao; Haogeng Liu; Qihang Fan; Ding Zhou; Huaibo Huang; Ran He 001; Hongxia Yang (ACL (1), 2024)

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. - Haogeng Liu; Quanzeng You; Yiqi Wang 004; Xiaotian Han; Bohan Zhai; Yongfei Liu; Wentao Chen; Yiren Jian; Yunzhe Tao; Jianbo Yuan; Ran He 001; Hongxia Yang (ACL (Findings), 2024)

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. - Ziyu Zhao 001; Leilei Gan; Guoyin Wang 002; Wangchunshu Zhou; Hongxia Yang; Kun Kuang; Fei Wu 001 (ACL (Findings), 2024)

An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation. - Luo Ji; Jiayu Mao; Hailong Shi; Qian Li; Yunfei Chu; Hongxia Yang (ECIR (3), 2024)

Let Models Speak Ciphers: Multiagent Debate through Embeddings. - Chau Pham 001; Boyi Liu 001; Yingxiang Yang; Zhengyu Chen 001; Tianyi Liu; Jianbo Yuan; Bryan A. Plummer; Zhaoran Wang 001; Hongxia Yang (ICLR, 2024)

LEMON: Lossless model expansion. - Yite Wang; Jiahao Su; Hanlin Lu; Cong Xie; Tianyi Liu; Jianbo Yuan; Haibin Lin; Ruoyu Sun 001; Hongxia Yang (ICLR, 2024)

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. - Zishun Yu; Yunzhe Tao; Liyu Chen; Tao Sun; Hongxia Yang (ICLR, 2024)

Learning 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 (ICLR, 2024)

COCO is "ALL" You Need for Visual Instruction Fine-tuning. - Xiaotian Han; Yiqi Wang 004; Bohan Zhai; Quanzeng You; Hongxia Yang (ICME, 2024)

Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. - Zhenyu He 012; Guhao Feng; Shengjie Luo; Kai Yang; Liwei Wang 001; Jingjing Xu; Zhi Zhang 005; Hongxia Yang; Di He 001 (ICML, 2024)

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. - Xueyu Hu; Ziyu Zhao 001; Shuang Wei; Ziwei Chai; Qianli Ma; Guoyin Wang 002; Xuwu Wang; Jing Su; Jingjing Xu; Ming Zhu; Yao Cheng; Jianbo Yuan; et al. (ICML, 2024)

Self-Infilling Code Generation. - Lin Zheng; Jianbo Yuan; Zhi Zhang 005; Hongxia Yang; Lingpeng Kong (ICML, 2024)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (NeurIPS, 2024)

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation. - Yuang Ai; Xiaoqiang Zhou; Huaibo Huang; Xiaotian Han; Zhengyu Chen; Quanzeng You; Hongxia Yang (NeurIPS, 2024)

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. - Haogeng Liu; Quanzeng You; Xiaotian Han; Yongfei Liu; Huaibo Huang; Ran He 001; Hongxia Yang (NeurIPS, 2024)

Leveraging Print Debugging to Improve Code Generation in Large Language Models. - Xueyu Hu; Kun Kuang; Jiankai Sun; Hongxia Yang; Fei Wu 001 (CoRR, 2024)

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. - Xueyu Hu; Ziyu Zhao 001; Shuang Wei; Ziwei Chai; Guoyin Wang 002; Xuwu Wang; Jing Su; Jingjing Xu; Ming Zhu; Yao Cheng; Jianbo Yuan; Kun Kuang; et al. (CoRR, 2024)

Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning. - Yiqi Wang 004; Wentao Chen; Xiaotian Han; Xudong Lin 007; Haiteng Zhao; Yongfei Liu; Bohan Zhai; Jianbo Yuan; Quanzeng You; Hongxia Yang (CoRR, 2024)

Empowering Large Language Model Agents through Action Learning. - Haiteng Zhao; Chang Ma; Guoyin Wang 002; Jing Su; Lingpeng Kong; Jingjing Xu; Zhi-Hong Deng 001; Hongxia Yang (CoRR, 2024)

How Can LLM Guide RL? A Value-Based Approach. - Shenao Zhang; Sirui Zheng; Shuqi Ke; Zhihan Liu; Wanxin Jin; Jianbo Yuan; Yingxiang Yang; Hongxia Yang; Zhaoran Wang 001 (CoRR, 2024)

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. - Haogeng Liu; Quanzeng You; Xiaotian Han; Yiqi Wang 004; Bohan Zhai; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2024)

(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. - Yufeng Zhang; Liyu Chen; Boyi Liu; Yingxiang Yang; Qiwen Cui; Yunzhe Tao; Hongxia Yang (CoRR, 2024)

ViTAR: Vision Transformer with Any Resolution. - Qihang Fan; Quanzeng You; Xiaotian Han; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2024)

InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (CoRR, 2024)

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. - Ziyu Zhao 001; Leilei Gan; Guoyin Wang 002; Yuwei Hu; Tao Shen 002; Hongxia Yang; Kun Kuang; Fei Wu 001 (CoRR, 2024)

Law of Vision Representation in MLLMs. - Shijia Yang; Bohan Zhai; Quanzeng You; Jianbo Yuan; Hongxia Yang; Chenfeng Xu (CoRR, 2024)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation. - Luo Ji; Gao Liu; Mingyang Yin; Hongxia Yang; Jingren Zhou 001 (CoRR, 2024)

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. - Xuwu Wang; Qiwen Cui; Yunzhe Tao; Yiran Wang; Ziwei Chai; Xiaotian Han; Boyi Liu; Jianbo Yuan; Jing Su; Guoyin Wang 002; Tingkai Liu; Liyu Chen; et al. (CoRR, 2024)

Unconstrained Model Merging for Enhanced LLM Reasoning. - Yiming Zhang; Baoyi He; Shengyu Zhang 001; Yuhao Fu; Qi Zhou; Zhijie Sang; Zijin Hong; Kejing Yang; Wenjun Wang; Jianbo Yuan; Guanghan Ning; Linyi Li; et al. (CoRR, 2024)

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation. - Yuang Ai; Xiaoqiang Zhou; Huaibo Huang; Xiaotian Han; Zheng Chen 014; Quanzeng You; Hongxia Yang (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. - Shengyu Zhang 001; Ziqi Jiang; Jiangchao Yao; Fuli Feng; Kun Kuang; Zhou Zhao 001; Shuo Li; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

SLED: Structure Learning based Denoising for Recommendation. - Shengyu Zhang 001; Tan Jiang; Kun Kuang; Fuli Feng; Jin Yu; Jianxin Ma; Zhou Zhao 001; Jianke Zhu; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (ACM Trans. Inf. Syst., 2024)

OS 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 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (ACL (1), 2025)

DavIR: Data Selection via Implicit Reward for Large Language Models. - Haotian Zhou; Tingkai Liu; Qianli Ma; Yufeng Zhang; Jianbo Yuan; Pengfei Liu; Yang You 001; Hongxia Yang (ACL (1), 2025)

CEFSW'25: The 2nd Collaboration and Evolution of Foundation and Specialized Models Workshop. - Shengyu Zhang 001; Fan Yao; Yujie Lu; Chaoyue Niu; Hongxia Yang; Fan Wu 006; Fei Wu 001 (ICMR, 2025)

Collaborative garment design through group chatting with generative industrial large models. - Arjun Rachana Harish; Zhaolin Yuan; Ming Li 055; Hongxia Yang; George Q. Huang (Adv. Eng. Informatics, 2025)

Autoregressive Models in Vision: A Survey. - Jing Xiong; Gongye Liu; Lun Huang; Chengyue Wu; Taiqiang Wu; Yao Mu 001; Yuan Yao; Hui Shen; Zhongwei Wan; Jinfa Huang; Chaofan Tao; Shen Yan; et al. (Trans. Mach. Learn. Res., 2025)

InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion. - Zhaoyi Yan; Zhijie Sang; Yiming Zhang; Yuhao Fu; Baoyi He; Qi Zhou; Yining Di; Chunlin Ji; Shengyu Zhang 001; Fei Wu 001; Hongxia Yang (CoRR, 2025)

Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning. - Zhen Li; Yupeng Su; Runming Yang; Zhongwei Xie; Ngai Wong 001; Hongxia Yang (CoRR, 2025)

InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. - Yuhang Liu 005; Pengxiang Li; Zishu Wei; Congkai Xie; Xueyu Hu; Xinchen Xu; Shengyu Zhang 001; Xiaotian Han; Hongxia Yang; Fei Wu 001 (CoRR, 2025)

Benchmarking Large Language Models via Random Variables. - Zijin Hong; Hao Wu 070; Su Dong; Junnan Dong; Yilin Xiao 002; Yujing Zhang; Zhu Wang; Feiran Huang; Linyi Li; Hongxia Yang; Xiao Huang 001 (CoRR, 2025)

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning. - Congkai Xie; Shuo Cai; Wenjun Wang; Pengxiang Li; Zhijie Sang; Kejing Yang; Yiming Zhang; Zhen Li; Guanghao Zhu; Zeyu Liu; Yang Yu; Yuhang Liu 005; et al. (CoRR, 2025)

ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. - Jing Xiong; Jianghan Shen; Chuanyang Zheng; Zhongwei Wan; Chenyang Zhao; Chiwun Yang; Fanghua Ye 001; Hongxia Yang; Lingpeng Kong; Ngai Wong 001 (CoRR, 2025)

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners. - Yuhang Liu 005; Pengxiang Li; Congkai Xie; Xavier Hu; Xiaotian Han; Shengyu Zhang 001; Hongxia Yang; Fei Wu 001 (CoRR, 2025)

EcoAgent: An Efficient Edge-Cloud Collaborative Multi-Agent Framework for Mobile Automation. - Biao Yi; Xavier Hu; Yurun Chen 004; Shengyu Zhang 001; Hongxia Yang; Fan Wu 006; Fei Wu 001 (CoRR, 2025)

InfiJanice: Joint Analysis and In-situ Correction Engine for Quantization-Induced Math Degradation in Large Language Models. - Zhen Li; Yupeng Su; Songmiao Wang; Runming Yang; Congkai Xie; Aofan Liu; Ming Li 002; Jiannong Cao 001; Yuan Xie; Ngai Wong 001; Hongxia Yang (CoRR, 2025)

InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models. - Yanggan Gu; Zhaoyi Yan; Yuanyi Wang; Yiming Zhang; Qi Zhou; Fei Wu 001; Hongxia Yang (CoRR, 2025)

InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion. - Yuanyi Wang; Zhaoyi Yan; Yiming Zhang; Qi Zhou; Yanggan Gu; Fei Wu 001; Hongxia Yang (CoRR, 2025)

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models. - Zeyu Liu; Yuhang Liu 005; Guanghao Zhu; Congkai Xie; Zhen Li; Jianbo Yuan; Xinyao Wang; Qing Li 001; Shing-Chi Cheung; Shengyu Zhang 001; Fei Wu 001; Hongxia Yang (CoRR, 2025)

Infi-Med: Low-Resource Medical MLLMs with Robust Reasoning Evaluation. - Zeyu Liu; Zhitian Hou; Yining Di; Kejing Yang; Zhijie Sang; Congkai Xie; Jingwen Yang; Siyuan Liu; Jialu Wang; Chunming Li; Ming Li; Hongxia Yang (CoRR, 2025)

SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. - Wendong Xu; Jing Xiong; Chenyang Zhao; Qiujiang Chen; Haoran Wang; Hui Shen; Zhongwei Wan; Jianbo Dai; Taiqiang Wu; He Xiao; Chaofan Tao; Z. Morley Mao; et al. (CoRR, 2025)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (CoRR, 2025)

InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning Capabilities. - Shuo Cai; Su Lu; Qi Zhou; Kejing Yang; Zhijie Sang; Congkai Xie; Hongxia Yang (CoRR, 2025)

InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization. - Yuhang Liu 005; Zeyu Liu; Shuanghe Zhu; Pengxiang Li; Congkai Xie; Jiasheng Wang; Xueyu Hu; Xiaotian Han; Jianbo Yuan; Xinyao Wang; Shengyu Zhang 001; Hongxia Yang; et al. (CoRR, 2025)