Hongxia Yang

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 219

Top Venues

Publications

Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang
Empowering Large Language Model Agents through Action Learning. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) (2024)
Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang
COCO is "ALL" You Need for Visual Instruction Fine-tuning. CoRR (2024)
Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. CoRR (2024)
Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. ICLR (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR (2024)
Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang
(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR (2024)
Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR (2024)
Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. CoRR (2024)
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR (2024)
Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
LEMON: Lossless model expansion. ICLR (2024)
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR (2024)
Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang
How Can LLM Guide RL? A Value-Based Approach. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR (2024)
Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
ViTAR: Vision Transformer with Any Resolution. CoRR (2024)
Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. ACL (1) (2024)
Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. CoRR (2024)
Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning. CoRR (2024)
Luo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation. ECIR (3) (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Generalizable Graph Neural Network. AAAI (2024)
Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. ACL (Findings) (2024)
Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. CoRR (2024)
Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. CoRR (2024)
Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR (2024)
Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CVPR (2023)
Luo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation. CoRR (2023)
Haotian Zhou, Tingkai Liu, Qianli Ma, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang
LoBaSS: Gauging Learnability in Supervised Fine-tuning Data. CoRR (2023)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Graph Neural Network. CoRR (2023)
Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang
A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. CoRR (2023)
Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. CoRR (2023)
Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang
Video-CSR: Complex Video Digest Creation for Visual-Language Models. CoRR (2023)
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW (2023)
Xinpeng Zhang, Meng Zhao, Yao Zhang, Ji Ao, Hongxia Yang, Congcong Wang, Shengyong Chen
T-Net: Hierarchical Pyramid Network for Microaneurysm Detection in Retinal Fundus Image. IEEE Trans. Instrum. Meas. 72 (2023)
Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR (2023)
Yiren Jian, Tingkai Liu, Yunzhe Tao, Soroush Vosoughi, Hongxia Yang
SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. CoRR (2023)
Xiaohui Chen, Yongfei Liu, Yingxiang Yang, Jianbo Yuan, Quanzeng You, Li-Ping Liu, Hongxia Yang
Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis. CoRR (2023)
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR (2023)
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Qianli Ma, Haotian Zhou, Tingkai Liu, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning. CoRR (2023)
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
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
CogDL: A Comprehensive Library for Graph Deep Learning. WWW (2023)
Xiaotian Han, Quanzeng You, Yongfei Liu, Wentao Chen, Huangjie Zheng, Khalil Mrini, Xudong Lin, Yiqi Wang, Bohan Zhai, Jianbo Yuan, Heng Wang, Hongxia Yang
CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. CoRR (2023)
Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CoRR (2023)
Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong
Self-Infilling Code Generation. CoRR (2023)
Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD (2023)
Haogeng Liu, Qihang Fan, Tingkai Liu, Linjie Yang, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling. CoRR (2023)
Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
LEMON: Lossless model expansion. CoRR (2023)
Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. CoRR (2023)
Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. CICAI (2) (2022)
Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang
Prompt Tuning for Generative Multimodal Pretrained Models. CoRR (2022)
Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. CoRR (2022)
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
Deep Unified Representation for Heterogeneous Recommendation. CoRR (2022)
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR (2022)
Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems. CoRR (2022)
Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR (2022)
Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. ICML (2022)
Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR (2022)
Hongxia Yang, Xingqiang Teng
Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A ∗ Algorithm. J. Robotics 2022 (2022)
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML (2022)
Meng Zhao, Hongxia Yang, Fan Shi, Xinpeng Zhang, Yao Zhang, Xuguo Sun, Hao Wang
MSS-WISN: Multiscale Multistaining WBCs Instance Segmentation Network. IEEE Access 10 (2022)
Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang
OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. KDD (2022)
Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. CoRR (2022)
Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. CoRR (2022)
Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. ECML/PKDD (1) (2022)
Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li, Chang Zhou, Hongxia Yang
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing. CoRR (2022)
Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang
Device-Cloud Collaborative Recommendation via Meta Controller. CoRR (2022)
Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR (2022)
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
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP (2022)
Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang
Single Stage Virtual Try-on via Deformable Attention Flows. CoRR (2022)
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
Deep Unified Representation for Heterogeneous Recommendation. WWW (2022)
Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. WWW (2022)
Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang
Intra-session Context-aware Feed Recommendation in Live Systems. CoRR (2022)
Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
Reliable Adversarial Distillation with Unreliable Teachers. ICLR (2022)
Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang
Single Stage Virtual Try-On Via Deformable Attention Flows. ECCV (15) (2022)
Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
GraphMAE: Self-Supervised Masked Graph Autoencoders. KDD (2022)
Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
GraphMAE: Self-Supervised Masked Graph Autoencoders. CoRR (2022)
Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. WSDM (2022)
Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang
Device-cloud Collaborative Recommendation via Meta Controller. KDD (2022)
Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. ACM Multimedia (2022)
Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang
Intra-session Context-aware Feed Recommendation in Live Systems. CIKM (2022)
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR (2021)
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. KDD (2021)
Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. CoRR (2021)
Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. CoRR (2021)
Yunfei Chu, Xiaofu Chang, Kunyang Jia, Jingzhen Zhou, Hongxia Yang
Dynamic Sequential Graph Learning for Click-Through Rate Prediction. CoRR (2021)
Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD (2021)
Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang
MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. CoRR (2021)
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR (2021)
Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang
Device-Cloud Collaborative Learning for Recommendation. KDD (2021)
Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang
Click-through Rate Prediction with Auto-Quantized Contrastive Learning. CoRR (2021)
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
Controllable Generation from Pre-trained Language Models via Inverse Prompting. CoRR (2021)
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
CogView: Mastering Text-to-Image Generation via Transformers. CoRR (2021)
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
Learning with Group Noise. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hongxia Yang