Wang, Haobo

45 publications

IJCAI 2025 A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-Based Image Super-Resolution Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang

ICLR 2025 Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

MLJ 2025 CaCOM: Customizing Text-to-Image Diffusion Models in the Wild via Continual Active Selection Jianan Yang, Yanming Zhang, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao

NeurIPS 2025 Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang, Shuo He, Haobo Wang, Bingquan Shen, Lei Feng

ICLR 2025 Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai, Huibin Lin, Haobo Wang, Zhen Yang

NeurIPS 2025 Harnessing Feature Resonance Under Arbitrary Target Alignment for Out-of-Distribution Node Detection Shenzhi Yang, Junbo Zhao, Sharon Li, Shouqing Yang, Dingyu Yang, Xiaofang Zhang, Haobo Wang

ICLRW 2025 How to Steer LLM Latents for Hallucination Detection? Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li

ICML 2025 Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu

AAAI 2025 Multi-Instance Multi-Label Classification from Crowdsourced Labels Ziquan Wang, Mingxuan Xia, Xiangyu Ren, Jiaqing Zhou, Gengyu Lyu, Tianlei Hu, Haobo Wang

ICML 2025 P(all-Atom) Is Unlocking New Path for Protein Design Wei Qu, Jiawei Guan, Rui Ma, Ke Zhai, Weikun Wu, Haobo Wang

ICML 2025 Representation Surgery in Model Merging with Probabilistic Modeling Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An

MLJ 2025 Shift Guided Active Learning Jianan Yang, Jimin Tan, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao

ICML 2025 Steer LLM Latents for Hallucination Detection Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li

NeurIPS 2025 Table as a Modality for Large Language Models Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao

ICML 2025 Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank Qiyu Zhong, Yi Shan, Haobo Wang, Zhen Yang, Gengyu Lyu

IJCAI 2025 Towards Robust Incremental Learning Under Ambiguous Supervision Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao

AAAI 2024 A Separation and Alignment Framework for Black-Box Domain Adaptation Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang

IJCAI 2024 Common-Individual Semantic Fusion for Multi-View Multi-Label Learning Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng

ICLR 2024 Energy-Based Automated Model Evaluation Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao

NeurIPS 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild Jianan Yang, Chenchao Gao, Zhiqing Xiao, Junbo Zhao, Sai Wu, Gang Chen, Haobo Wang

NeurIPS 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks Under Label Noise Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu

MLJ 2024 Online Binary Classification from Similar and Dissimilar Data Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng

CVPR 2024 Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao

CVPR 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang

ICML 2024 Unbiased Multi-Label Learning from Crowdsourced Annotations Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang

AAAI 2023 A Generalized Unbiased Risk Estimator for Learning with Augmented Classes Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng

ICCV 2023 CAME: Contrastive Automated Model Evaluation Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao

NeurIPS 2023 Debiased and Denoised Entity Recognition from Distant Supervision Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao

IJCAI 2023 Deep Partial Multi-Label Learning with Graph Disambiguation Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen

IJCAI 2023 Latent Processes Identification from Multi-View Time Series Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng

ICLR 2023 Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao

IJCAI 2023 ProMix: Combating Label Noise via Maximizing Clean Sample Utility Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao

NeurIPS 2023 Regression with Cost-Based Rejection Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng

NeurIPS 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao

ICML 2023 Towards Controlled Data Augmentations for Active Learning Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

ICCV 2023 iDAG: Invariant DAG Searching for Domain Generalization Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng

NeurIPS 2022 Less-Forgetting Multi-Lingual Fine-Tuning Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao

ICLR 2022 PiCO: Contrastive Label Disambiguation for Partial Label Learning Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao

NeurIPS 2022 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao

IJCAI 2020 Collaboration Based Multi-Label Propagation for Fraud Detection Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen

AAAI 2020 Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen

IJCAI 2020 Learning from Multi-Dimensional Partial Labels Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen

ECML-PKDD 2020 Online Partial Label Learning Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen

IJCAI 2019 Discriminative and Correlative Partial Multi-Label Learning Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen

AAAI 2019 Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen