Zhao, Junbo

34 publications

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

ICLR 2025 DataMan: Data Manager for Pre-Training Large Language Models Ru Peng, Kexin Yang, Yawen Zeng, Junyang Lin, Dayiheng Liu, Junbo Zhao

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

IJCAI 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework Jiameng Bai, Ruoyi Xu, Sai Wu, Dingyu Yang, Junbo Zhao, Gang Chen

ICCV 2025 Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information Junbo Zhao, Ting Zhang, Jiayu Sun, Mi Tian, Hua Huang

ICLR 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen

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

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

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

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

NeurIPSW 2024 From Laws to Motivation: Guiding Exploration Through Law-Based Reasoning and Rewards Ziyu Chen, Zhiqing Xiao, Xinbei Jiang, 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

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

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

AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

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 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

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

NeurIPS 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang

ICML 2021 Joining Datasets via Data Augmentation in the Label Space for Neural Networks Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen

NeurIPS 2019 Levenshtein Transformer Jiatao Gu, Changhan Wang, Junbo Zhao

ICML 2018 Adversarially Regularized Autoencoders Junbo Zhao, Yoon Kim, Kelly Zhang, Alexander Rush, Yann LeCun

NeurIPS 2016 Disentangling Factors of Variation in Deep Representation Using Adversarial Training Michael F Mathieu, Junbo Jake Zhao, Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, Yann LeCun

NeurIPS 2015 Character-Level Convolutional Networks for Text Classification Xiang Zhang, Junbo Zhao, Yann LeCun