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Junbo Zhao 0002
Person information
- affiliation: Zhejiang University, Zhejiang, China
Other persons with the same name
- Junbo Zhao — disambiguation page
- Junbo Zhao 0001
— University of Connecticut, Storrs, CT, USA
- Junbo Zhao 0003
— Metallurgical Automation Research and Design Institute Co. LTD, State Key Laboratory of Metallurgical Intelligent Manufacturing, China
- Junbo Zhao 0004
— University of York, York, UK
- Junbo Zhao 0005
— Guangxi Normal University, Guilin, China
- Junbo Zhao 0006 — Wuhan University, Wuhan, China
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2020 – today
- 2024
- [j4]Haobo Wang
, Ruixuan Xiao
, Yixuan Li
, Lei Feng
, Gang Niu
, Gang Chen
, Junbo Zhao
:
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3183-3198 (2024) - [c23]Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang:
A Separation and Alignment Framework for Black-Box Domain Adaptation. AAAI 2024: 16005-16013 - [c22]Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang:
Learning Geometry-Aware Representations for New Intent Discovery. ACL (1) 2024: 5641-5654 - [c21]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. ACL (Findings) 2024: 10845-10861 - [c20]Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao:
Energy-based Automated Model Evaluation. ICLR 2024 - [c19]Chao Ye
, Guoshan Lu
, Haobo Wang
, Liyao Li
, Sai Wu
, Gang Chen
, Junbo Zhao
:
Towards Cross-Table Masked Pretraining for Web Data Mining. WWW 2024: 4449-4459 - [i22]Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao:
Energy-based Automated Model Evaluation. CoRR abs/2401.12689 (2024) - [i21]Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao:
RECOST: External Knowledge Guided Data-efficient Instruction Tuning. CoRR abs/2402.17355 (2024) - [i20]Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen:
Pre-Trained Model Recommendation for Downstream Fine-tuning. CoRR abs/2403.06382 (2024) - [i19]Jiachen Ma, Anda Cao, Zhiqing Xiao, Jie Zhang, Chao Ye, Junbo Zhao:
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models. CoRR abs/2404.02928 (2024) - [i18]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. CoRR abs/2405.11930 (2024) - [i17]Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li:
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents. CoRR abs/2406.14884 (2024) - [i16]Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang:
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey. CoRR abs/2406.15126 (2024) - 2023
- [j3]Wentao Zhang
, Yanchao Xu, Aowen Wang, Gang Chen
, Junbo Zhao
:
Fuse feeds as one: cross-modal framework for general identification of AMPs. Briefings Bioinform. 24(6) (2023) - [j2]Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Meng Shi, Gang Chen, Feifei Li:
SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments. Proc. VLDB Endow. 17(3): 278-291 (2023) - [c18]Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao:
Revisiting the Knowledge Injection Frameworks. EMNLP 2023: 10983-10997 - [c17]Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang:
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. EMNLP 2023: 14520-14535 - [c16]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
iDAG: Invariant DAG Searching for Domain Generalization. ICCV 2023: 19112-19122 - [c15]Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao:
CAME: Contrastive Automated Model Evaluation. ICCV 2023: 20064-20075 - [c14]Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao:
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering. ICLR 2023 - [c13]Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao:
Towards Controlled Data Augmentations for Active Learning. ICML 2023: 39524-39542 - [c12]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
Latent Processes Identification From Multi-View Time Series. IJCAI 2023: 3848-3856 - [c11]Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. IJCAI 2023: 4442-4450 - [c10]Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao:
Debiased and Denoised Entity Recognition from Distant Supervision. NeurIPS 2023 - [c9]Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao:
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. NeurIPS 2023 - [c8]Guoshan Lu
, Haobo Wang
, Saisai Yang
, Jing Yuan
, Guozheng Yang
, Cheng Zang
, Gang Chen
, Junbo Zhao
:
Catch: Collaborative Feature Set Search for Automated Feature Engineering. WWW 2023: 1886-1896 - [i15]Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao:
Controllable Textual Inversion for Personalized Text-to-Image Generation. CoRR abs/2304.05265 (2023) - [i14]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
Latent Processes Identification From Multi-View Time Series. CoRR abs/2305.08164 (2023) - [i13]Hao Chen, Yiming Zhang, Qi Zhang, Hantao Yang, Xiaomeng Hu, Xuetao Ma, Yifan Yanggong, Junbo Zhao:
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning. CoRR abs/2305.09246 (2023) - [i12]Wentao Ye, Mingfeng Ou, Tianyi Li, Yipeng Chen, Xuetao Ma, Yifan Yanggong, Sai Wu, Jie Fu, Gang Chen, Haobo Wang, Junbo Zhao:
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility. CoRR abs/2305.10235 (2023) - [i11]Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao:
CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training. CoRR abs/2307.04308 (2023) - [i10]Liangyu Zha, Junlin Zhou, Liyao Li, Rui Wang, Qingyi Huang, Saisai Yang, Jing Yuan, Changbao Su, Xiang Li, Aofeng Su, Tao Zhang, Chen Zhou, Kaizhe Shou, Miao Wang, Wufang Zhu, Guoshan Lu, Chao Ye, Yali Ye, Wentao Ye, Yiming Zhang, Xinglong Deng, Jie Xu, Haobo Wang, Gang Chen, Junbo Zhao:
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT. CoRR abs/2307.08674 (2023) - [i9]Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao:
CAME: Contrastive Automated Model Evaluation. CoRR abs/2308.11111 (2023) - [i8]Hao Chen, Qi Zhang, Zenan Huang, Haobo Wang, Junbo Zhao:
Towards Domain-Specific Features Disentanglement for Domain Generalization. CoRR abs/2310.03007 (2023) - [i7]Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao:
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. CoRR abs/2310.17594 (2023) - [i6]Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao:
Revisiting the Knowledge Injection Frameworks. CoRR abs/2311.01150 (2023) - [i5]Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang:
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. CoRR abs/2311.15614 (2023) - 2022
- [j1]Sai Wu
, Ying Li, Haoqi Zhu, Junbo Zhao, Gang Chen:
Dynamic Index Construction with Deep Reinforcement Learning. Data Sci. Eng. 7(2): 87-101 (2022) - [c7]Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao:
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. ACL (Findings) 2022: 20-30 - [c6]Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen:
A Comparative Study of in-Database Inference Approaches. ICDE 2022: 1794-1807 - [c5]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. ICLR 2022 - [c4]Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. ICONIP (4) 2022: 336-347 - [c3]Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao:
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. NeurIPS 2022 - [c2]Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen:
A Sampling-based Learning Framework for Big Databases. WWW 2022: 1871-1881 - [i4]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. CoRR abs/2201.08984 (2022) - [i3]Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao:
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. CoRR abs/2203.07090 (2022) - [i2]Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng
, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. CoRR abs/2207.10276 (2022) - [i1]Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng
, Gang Chen, Junbo Zhao:
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. CoRR abs/2209.10365 (2022) - 2021
- [c1]Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen:
Joining datasets via data augmentation in the label space for neural networks. ICML 2021: 12686-12696
Coauthor Index
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last updated on 2024-08-28 23:35 CEST by the dblp team
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