ML Anthology

Yang, Hongxia

42 publications

TMLR 2025 Autoregressive Models in Vision: A Survey Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong
NeurIPS 2025 InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Yanggan Gu, Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang
NeurIPS 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, Hongxia Yang
ICML 2025 ParallelComp: 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
ICLR 2024 $\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, 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
ICML 2024 InfiAgent-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
NeurIPS 2024 InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
ICLR 2024 LEMON: Lossless Model Expansion Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu 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
AAAI 2024 Learning 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
ICLR 2024 Let 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
ICML 2024 Self-Infilling Code Generation Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong
ICML 2024 Two 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
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, Hongxia Yang
NeurIPSW 2023 $\mathcal{B}$-Coder: On Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
TMLR 2023 Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou
CVPR 2023 Revisiting 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
ECML-PKDD 2022 AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang
ICML 2022 Modality Competition: What Makes Joint Training of Multi-Modal Network Fail in Deep Learning? (Provably) Yu Huang, 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, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang
ICLR 2022 Reliable Adversarial Distillation with Unreliable Teachers Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
ECCV 2022 Single Stage Virtual Try-on via Deformable Attention Flows Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang
NeurIPS 2021 CogView: Mastering Text-to-Image Generation via Transformers Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
CVPRW 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
CVPRW 2021 DeVLBert: 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
AAAI 2021 Dynamic Memory Based Attention Network for Sequential Recommendation Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
CVPRW 2021 Grounded, 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
ICML 2021 KNAS: Green Neural Architecture Search Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
ICML 2021 Learning to Rehearse in Long Sequence Memorization Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao
AAAI 2021 Learning with Group Noise Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
NeurIPS 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
NeurIPS 2020 CogLTX: Applying BERT to Long Texts Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang
NeurIPS 2020 Counterfactual Prediction for Bundle Treatment Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He
IJCAI 2020 Dress like an Internet Celebrity: Fashion Retrieval in Videos Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu
ECML-PKDD 2020 Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi
ICLR 2020 Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang
IJCAI 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
NeurIPS 2019 Learning Disentangled Representations for Recommendation Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu
IJCAI 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
AISTATS 2011 Dependent Hierarchical Beta Process for Image Interpolation and Denoising Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David Dunson, Lawrence Carin