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Haobo Wang
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Books and Theses
- 2018
- [b1]Haobo Wang:
Optimizing Flash-Based Storage Systems. University of California, Los Angeles, USA, 2018
Journal Articles
- 2024
- [j31]Jianfei Ren, Ying Luo, Hang Yuan, Lei Zhang, Haobo Wang:
ISAR Imaging for Micro-Motion Target Based on FGSR Low-Rank Representation. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j30]Shichao Xiong, Kai-Ming Li, Haobo Wang, Siyuan Zhao, Ying Luo, Qun Zhang:
Sparse Aperture High-Resolution RID ISAR Imaging of Maneuvering Target Based on Parametric Efficient Sparse Bayesian Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j29]Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng:
Online binary classification from similar and dissimilar data. Mach. Learn. 113(6): 3463-3484 (2024) - [j28]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) - [j27]Yuquan Sun, Haobo Wang, Lingyi Wang, Bing Hu, Wei Wu:
Multi-IRSs enhanced UAV secure semantic communication system. Phys. Commun. 66: 102427 (2024) - [j26]Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang:
CORAL: Collaborative Automatic Labeling System based on Large Language Models. Proc. VLDB Endow. 17(12): 4401-4404 (2024) - [j25]Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao:
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2630-2640 (2024) - [j24]Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen:
On the Value of Head Labels in Multi-Label Text Classification. ACM Trans. Knowl. Discov. Data 18(5): 124:1-124:21 (2024) - 2023
- [j23]Yulai Zhao, Haobo Wang, Junzhe Lin, Qingkai Han, Yang Liu:
Effect of internal excitation induced by non-uniform contact of roller bearings on nonlinear vibration and stability of rotor system under combined loads. Commun. Nonlinear Sci. Numer. Simul. 125: 107381 (2023) - [j22]Xia Xiao, Jiaying Huang, Haobo Wang, Chengde Zhang, Xinzhong Chen:
OpenMetaRec: Open-metapath heterogeneous dual attention network for paper recommendation. Expert Syst. Appl. 231: 120806 (2023) - [j21]Haonan Fan, Qin Dong, Naixuan Guo, Jun Xue, Rongrong Zhang, Haobo Wang, Mingfeng Shi:
Raspberry Pi-based design of intelligent household classified garbage bin. Internet Things 24: 100987 (2023) - [j20]Ying-Xi Liu, Qun Zhang, Shichao Xiong, Jia-Cheng Ni, Dan Wang, Haobo Wang:
An ISAR Shape Deception Jamming Method Based on Template Multiplication and Time Delay. Remote. Sens. 15(11): 2762 (2023) - [j19]Ying-Xi Liu, Qun Zhang, Shichao Xiong, Haobo Wang, Hang Yuan, Ying Luo:
A Multiple-False-Target ISAR Shape Deception Jamming Method Based on Improved Template Multiplication Modulated Time-Delay Algorithm and Sub-Nyquist Sampling. Remote. Sens. 15(20): 5015 (2023) - [j18]Yuan-Peng Zhang, Jingye Guan, Haobo Wang, Kai-Ming Li, Ying Luo, Qun Zhang:
Generalized Zero-Shot Space Target Recognition Based on Global-Local Visual Feature Embedding Network. Remote. Sens. 15(21): 5156 (2023) - [j17]Haobo Wang, Tongguang Yang, Qingkai Han, Zhong Luo:
Approach to the Quantitative Diagnosis of Rolling Bearings Based on Optimized VMD and Lempel-Ziv Complexity under Varying Conditions. Sensors 23(8): 4044 (2023) - [j16]Haobo Wang, Hangyuan Lv, Zhong Luo:
Analysis of Mechanical Properties and Fatigue Life of Microturbine Angular Contact Ball Bearings under Eccentric Load Conditions. Sensors 23(9): 4503 (2023) - [j15]Xiang Wen, Shiwei Zhao, Haobo Wang, Runze Wu, Manhu Qu, Tianlei Hu, Gang Chen, Jianrong Tao, Changjie Fan:
Multi-Source Multi-Label Learning for User Profiling in Online Games. IEEE Trans. Multim. 25: 4135-4147 (2023) - 2022
- [j14]Chenxi Zhu, Haobo Wang, Yan Zhuang, Jie Li, Yangjie Cao:
A Sparsity-Limitation-Based High-Dimensional Distribution Searching Algorithm for Adversarial Attack. J. Sensors 2022: 1-10 (2022) - [j13]Mingzheng Hou, Ziliang Feng, Haobo Wang, Zhiwei Shen, Sheng Li:
An adaptive regression based single-image super-resolution. Multim. Tools Appl. 81(20): 28231-28248 (2022) - [j12]Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7955-7974 (2022) - [j11]Haobo Wang, Kaiming Li, Xiaofei Lu, Qun Zhang, Ying Luo, Le Kang:
ISAR Resolution Enhancement Method Exploiting Generative Adversarial Network. Remote. Sens. 14(5): 1291 (2022) - [j10]Yulai Zhao, Haobo Wang, Xiaoguo Gao, Qingkai Han, Yang Liu:
Improved Time Synchronous Averaging and Its Application in Data-Driven Rotor Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j9]Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang:
A Hybrid Data Cleaning Framework Using Markov Logic Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2048-2062 (2022) - 2021
- [j8]Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu:
Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116: 145-155 (2021) - 2020
- [j7]Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang:
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020: 8828087:1-8828087:13 (2020) - [j6]Junfeng Jiang, Qiushi Chen, Jie Xue, Haobo Wang, Zhijun Chen:
A Novel Method about the Representation and Discrimination of Traffic State. Sensors 20(18): 5039 (2020) - [j5]Jian Zhao, Liang Li, Zhao Xu, Xiaoyu Wang, Haobo Wang, Xianjun Shao:
Full-Scale Distribution System Topology Identification Using Markov Random Field. IEEE Trans. Smart Grid 11(6): 4714-4726 (2020) - 2019
- [j4]Zihao Huang, Gang Huang, Zhijun Chen, Chaozhong Wu, Xiaofeng Ma, Haobo Wang:
Multi-Regional Online Car-Hailing Order Quantity Forecasting Based on the Convolutional Neural Network. Inf. 10(6): 193 (2019) - [j3]Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel:
Variable-Length Coding With Shared Incremental Redundancy: Design Methods and Examples. IEEE Trans. Commun. 67(9): 5981-5995 (2019) - 2017
- [j2]Derong Du, Xiaoping Zeng, Xin Jian, Lijuan Miao, Haobo Wang:
Three-Dimensional Vehicle-to-Vehicle Channel Modeling with Multiple Moving Scatterers. Mob. Inf. Syst. 2017: 7231417:1-7231417:14 (2017) - 2016
- [j1]Haobo Wang, Nathan Wong, Tsung-Yi Chen, Richard D. Wesel:
Using Dynamic Allocation of Write Voltage to Extend Flash Memory Lifetime. IEEE Trans. Commun. 64(11): 4474-4486 (2016)
Conference and Workshop Papers
- 2024
- [c59]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 - [c58]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 - [c57]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. ACL (Findings) 2024: 10845-10861 - [c56]Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao:
RECOST: External Knowledge Guided Data-efficient Instruction Tuning. ACL (Findings) 2024: 10911-10921 - [c55]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. ACL (Findings) 2024: 11065-11082 - [c54]Yiming Zhang, Hantao Yang, Haobo Wang, Jake Zhao:
Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models. LREC/COLING 2024: 7117-7132 - [c53]Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang:
Targeted Representation Alignment for Open-World Semi-Supervised Learning. CVPR 2024: 23072-23082 - [c52]Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao:
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation. CVPR 2024: 23138-23147 - [c51]Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao:
Energy-based Automated Model Evaluation. ICLR 2024 - [c50]Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang:
Unbiased Multi-Label Learning from Crowdsourced Annotations. ICML 2024 - [c49]Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng:
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. IJCAI 2024: 4715-4723 - [c48]Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen:
CoMAL: Contrastive Active Learning for Multi-Label Text Classification. KDD 2024: 2364-2375 - [c47]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 - 2023
- [c46]Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI 2023: 9829-9836 - [c45]Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao:
Revisiting the Knowledge Injection Frameworks. EMNLP 2023: 10983-10997 - [c44]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 - [c43]Haobo Wang, Lingyi Wang, Wei Wu:
Resource Allocation and Intelligent Trajectory Optimization for UAV-Assisted Semantic Communication System. ICCT 2023: 1370-1374 - [c42]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
iDAG: Invariant DAG Searching for Domain Generalization. ICCV 2023: 19112-19122 - [c41]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 - [c40]Haobo Wang, Yinghua Zhou:
Image Defogging Method based on Multi-Scale and Frequency Domain Features. ICIAI 2023: 66-71 - [c39]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 - [c38]Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao:
Towards Controlled Data Augmentations for Active Learning. ICML 2023: 39524-39542 - [c37]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
Latent Processes Identification From Multi-View Time Series. IJCAI 2023: 3848-3856 - [c36]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI 2023: 4308-4316 - [c35]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 - [c34]Yangjie Cao, Haobo Wang, Chenxi Zhu, Yan Zhuang, Jie Li, Xianfu Chen:
Improving the Transferability of Adversarial Examples with Diverse Gradients. IJCNN 2023: 1-9 - [c33]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. NeurIPS 2023 - [c32]Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao:
Debiased and Denoised Entity Recognition from Distant Supervision. NeurIPS 2023 - [c31]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 - [c30]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 - 2022
- [c29]Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao:
CLIMBER: defending phase change memory against inconsistent write attacks. DAC 2022: 799-804 - [c28]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. ICLR 2022 - [c27]Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. ICONIP (4) 2022: 336-347 - [c26]Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao:
Less-forgetting Multi-lingual Fine-tuning. NeurIPS 2022 - [c25]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 - 2021
- [c24]Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang:
A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract). ICDE 2021: 2344-2345 - [c23]Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. ISLPED 2021: 1-6 - [c22]Shengyuan Liu, Haobo Wang, Tianlei Hu, Ke Chen:
Dual Enhancement for Multi-Label Learning with Missing Labels. MLMI 2021: 177-183 - 2020
- [c21]Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen:
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. AAAI 2020: 6178-6185 - [c20]Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen:
Collaboration Based Multi-Label Propagation for Fraud Detection. IJCAI 2020: 2477-2483 - [c19]Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen:
Learning From Multi-Dimensional Partial Labels. IJCAI 2020: 2943-2949 - [c18]Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen:
Online Partial Label Learning. ECML/PKDD (2) 2020: 455-470 - [c17]Haobo Wang, Hang Hu, Xinyu Da, Lei Ni, Yu Pan, Yonghui Xu:
Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation. WCSP 2020: 424-429 - [c16]Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin:
Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW 2020: 2955-2961 - 2019
- [c15]Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen:
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. AAAI 2019: 3304-3311 - [c14]Nathan Wong, Ethan Liang, Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel:
Decoding Flash Memory with Progressive Reads and Independent vs. Joint Encoding of Bits in a Cell. GLOBECOM 2019: 1-6 - [c13]Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen:
Discriminative and Correlative Partial Multi-Label Learning. IJCAI 2019: 3691-3697 - 2018
- [c12]Haobo Wang, Richard D. Wesel:
Channel Code Analysis and Design Using Multiple Variable-Length Codes in Parallel without Feedback. GLOBECOM 2018: 1-7 - [c11]Lidong Chen, Yinliang Yue, Haobo Wang, Jianhua Wu:
A Priority and Fairness Mixed Compaction Scheduling Mechanism for LSM-tree Based KV-Stores. ICA3PP (1) 2018: 89-105 - [c10]Haobo Wang, Yinliang Yue, Shuibing He, Weiping Wang:
KT-Store: A Key-Order and Write-Order Hybrid Key-Value Store with High Write and Range-Query Performance. NPC 2018: 64-76 - 2017
- [c9]Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel:
Approaching capacity using incremental redundancy without feedback. ISIT 2017: 161-165 - [c8]Haobo Wang, Nathan Wong, Alexander M. Baldauf, Christopher K. Bachelor, Sudarsan V. S. Ranganathan, Dariush Divsalar, Richard D. Wesel:
An information density approach to analyzing and optimizing incremental redundancy with feedback. ISIT 2017: 261-265 - [c7]Nathan Wong, Kasra Vakilinia, Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel:
Sequential differential optimization of incremental redundancy transmission lengths: An example with tail-biting convolutional codes. ITA 2017: 1-5 - 2015
- [c6]Haobo Wang, Nathan Wong, Richard D. Wesel:
Dynamic voltage allocation with quantized voltage levels and simplified channel modeling. ACSSC 2015: 834-838 - [c5]Haobo Wang, Guiping Su, Yuan Sun, Shiwei Ye, Pan Liao, Yi Sun:
A latent space perturbation algorithm for Boolean Matrix completion based on weighted Frobenius norm. BESC 2015: 43-46 - [c4]Haobo Wang, Tsung-Yi Chen, Richard D. Wesel:
Histogram-based Flash channel estimation. ICC 2015: 283-288 - [c3]Shiwei Ye, Yuan Sun, Haobo Wang, Yi Sun:
Minimum information entropy based q-matrix learning in DINA model. LAK 2015: 404-405 - 2014
- [c2]Yuan Sun, Shiwei Ye, Huiyang Shi, Haobo Wang, Yi Sun:
Maximum likelihood estimation based DINA model and Q-matrix learning. BESC 2014: 75-80 - 2004
- [c1]Haobo Wang, Ramesh Karri, Malathi Veeraraghavan, Tao Li:
A hardware-accelerated implementation of the RSVP-TE signaling protocol. ICC 2004: 1609-1614
Informal and Other Publications
- 2024
- [i32]Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao:
Energy-based Automated Model Evaluation. CoRR abs/2401.12689 (2024) - [i31]Qi Wei, Lei Feng, Haobo Wang, Bo An:
Debiased Sample Selection for Combating Noisy Labels. CoRR abs/2401.13360 (2024) - [i30]Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao:
RECOST: External Knowledge Guided Data-efficient Instruction Tuning. CoRR abs/2402.17355 (2024) - [i29]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. CoRR abs/2405.11930 (2024) - [i28]Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu:
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise. CoRR abs/2406.04299 (2024) - [i27]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) - [i26]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) - [i25]Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng:
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning. CoRR abs/2407.15036 (2024) - [i24]Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu:
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. CoRR abs/2408.11338 (2024) - [i23]Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li:
SoccerNet 2024 Challenges Results. CoRR abs/2409.10587 (2024) - 2023
- [i22]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) - [i21]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR abs/2305.05882 (2023) - [i20]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
Latent Processes Identification From Multi-View Time Series. CoRR abs/2305.08164 (2023) - [i19]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) - [i18]Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR abs/2306.06894 (2023) - [i17]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) - [i16]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) - [i15]Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang:
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. CoRR abs/2307.16889 (2023) - [i14]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) - [i13]Hao Chen, Qi Zhang, Zenan Huang, Haobo Wang, Junbo Zhao:
Towards Domain-Specific Features Disentanglement for Domain Generalization. CoRR abs/2310.03007 (2023) - [i12]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) - [i11]Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao:
Revisiting the Knowledge Injection Frameworks. CoRR abs/2311.01150 (2023) - [i10]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. CoRR abs/2311.04550 (2023) - [i9]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
- [i8]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) - [i7]Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. CoRR abs/2207.10276 (2022) - [i6]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
- [i5]Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. CoRR abs/2106.10588 (2021) - 2020
- [i4]Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. CoRR abs/2011.11197 (2020) - 2019
- [i3]Yunjun Gao, Congcong Ge, Xiaoye Miao, Haobo Wang, Bin Yao, Qing Li:
A Hybrid Data Cleaning Framework using Markov Logic Networks. CoRR abs/1903.05826 (2019) - 2016
- [i2]Haobo Wang, Nathan Wong, Tsung-Yi Chen, Richard D. Wesel:
Using Dynamic Allocation of Write Voltage to Extend Flash Memory Lifetime. CoRR abs/1609.01816 (2016) - 2014
- [i1]Haobo Wang, Tsung-Yi Chen, Richard D. Wesel:
Histogram-Based Flash Channel Estimation. CoRR abs/1410.8158 (2014)
Coauthor Index
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