Xu, Hua

23 publications

NeurIPS 2025 Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark Hanlei Zhang, Zhuohang Li, Hua Xu, Yeshuang Zhu, Peiwu Wang, Haige Zhu, Jie Zhou, Jinchao Zhang

ICML 2025 IMTS Is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue

ICML 2025 Large Language Model-Driven Large Neighborhood Search for Large-Scale MILP Problems Huigen Ye, Hua Xu, An Yan, Yaoyang Cheng

ICLR 2024 Light-MILPopt: Solving Large-Scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-Scale Training Dataset Huigen Ye, Hua Xu, Hongyan Wang

ICLR 2024 MIntRec2.0: A Large-Scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-Scope Detection in Conversations Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen

AAAI 2024 Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao

AAAI 2023 Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract) Huigen Ye, Hongyan Wang, Hua Xu, Chengming Wang, Yu Jiang

ICML 2023 GNN&GBDT-Guided Fast Optimizing Framework for Large-Scale Integer Programming Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang

AAAI 2023 Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis Huisheng Mao, Baozheng Zhang, Hua Xu, Ziqi Yuan, Yihe Liu

AAAI 2023 Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract) Li Chen, Hua Xu, Ziteng Wang, Chengming Wang, Yu Jiang

AAAI 2022 An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao

AAAI 2021 Deep Open Intent Classification with Adaptive Decision Boundary Hanlei Zhang, Hua Xu, Ting-En Lin

AAAI 2021 Discovering New Intents with Deep Aligned Clustering Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu

AAAI 2021 Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu

AAAI 2020 A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract) Zhijing Wu, Hua Xu

AAAI 2020 CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization (Student Abstract) Li Chen, Hua Xu

AAAI 2020 Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract) Xili Wang, Hua Xu, Xiaomin Sun, Guangcan Tao

AAAI 2020 Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract) Ting-En Lin, Hua Xu, Hanlei Zhang

AAAI 2020 Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement Ting-En Lin, Hua Xu, Hanlei Zhang

AAAI 2020 Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract) Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao

AAAI 2020 SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy Towards Cross-Domain Sentiment Classification (Student Abstract) Yu Cao, Hua Xu

AAAI 2019 Video-Based Sentiment Analysis with hvnLBP-TOP Feature and Bi-LSTM Haoran Li, Hua Xu

AAAI 2011 Identifying Evaluative Sentences in Online Discussions Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia