Yidong Wang

According to our database, Yidong Wang authored at least 64 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Survey on Evaluation of Large Language Models.

Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie

ACM Trans. Intell. Syst. Technol., June, 2024

Exploring Vision-Language Models for Imbalanced Learning.

Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang

Int. J. Comput. Vis., January, 2024

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie

IEEE Data Eng. Bull., 2024

On the Diversity of Synthetic Data and its Impact on Training Large Language Models.

Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I Abdin

CoRR, 2024

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation.

Yijiang Xu, Hongrui Jia, Liguo Chen, Xin Wang, Zhengran Zeng, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang, Zhonghai Wu

CoRR, 2024

A Survey on Evaluating Large Language Models in Code Generation Tasks.

Liguo Chen, Qi Guo, Hongrui Jia, Zhengran Zeng, Xin Wang, Yijiang Xu, Jian Wu, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang

CoRR, 2024

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.

Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen

CoRR, 2024

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.

Chuanpeng Yang, Wang Lu, Yao Zhu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen

CoRR, 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys.

Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

CoRR, 2024

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.

Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang

CoRR, 2024

Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People.

Xidong Wang, Nuo Chen, Junyin Chen, Yan Hu, Yidong Wang, Xiangbo Wu, Anningzhe Gao, Xiang Wan, Haizhou Li, Benyou Wang

CoRR, 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios.

Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

A General Framework for Learning from Weak Supervision.

Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Supervised Knowledge Makes Large Language Models Better In-context Learners.

Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Separation Is for Better Reunion: Data Lake Storage at Huawei.

Xin Tang, Chengliang Chai, Dawei Zhao, Haohai Ma, Yong Zheng, Zhenyong Fan, Xin Wu, Jiaquan Zhang, Rui Zhang, Duanshun Li, Yi He, Keji Huang, Guangbin Meng, Yidong Wang, Yuefeng Zhou, Tao Tao, Lirong Jian, Jiwu Shu, Yuping Wang, Ye Yuan, Guoren Wang, Guoliang Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness.

Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.

Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing In-Context Learning via Implicit Demonstration Augmentation.

Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.

Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

What Makes a Good Order of Examples in In-Context Learning.

Qi Guo, Leiyu Wang, Yidong Wang, Wei Ye, Shikun Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang

CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie

CoRR, 2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future.

Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang

CoRR, 2023

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.

Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

CoRR, 2023

Evaluating Open Question Answering Evaluation.

Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang

CoRR, 2023

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.

Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

CoRR, 2023

Evaluating Open-QA Evaluation.

Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.

Wang Lu, Jindong Wang, Yidong Wang, Xing Xie

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.

Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.

Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.

Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.

Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.

Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.

Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie

CoRR, 2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.

Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

CoRR, 2022

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele

CoRR, 2022

Optimizing Train Routing Problem in a Multistation High-Speed Railway Hub by a Lagrangian Relaxation Approach.

Yidong Wang, Rui Song, Shiwei He, Zilong Song, Jushang Chi

IEEE Access, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.

Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Margin Calibration for Long-Tailed Visual Recognition.

Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki

Proceedings of the Asian Conference on Machine Learning, 2022

2021

On the Design of Federated Learning in the Mobile Edge Computing Systems.

Chenyuan Feng, Zhongyuan Zhao, Yidong Wang, Tony Q. S. Quek, Mugen Peng

IEEE Trans. Commun., 2021

Modelling Aboveground Biomass Carbon Stock of the Bohai Rim Coastal Wetlands by Integrating Remote Sensing, Terrain, and Climate Data.

Shaobo Sun, Yafei Wang, Zhaoliang Song, Chu Chen, Yonggen Zhang, Xi Chen, Wei Chen, Wenping Yuan, Xiuchen Wu, Xiangbin Ran, Yidong Wang, Qiang Li, Lele Wu

Remote. Sens., 2021

Unity Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller-Based Variable Perturbation Size Real-Time Adaptive Perturb and Observe (P&O) MPPT Algorithm for PV Systems.

Cagfer Yanarates, Yidong Wang, Zhongfu Zhou

IEEE Access, 2021

Task 1 - Argumentative Text Understanding for AI Debater (AIDebater).

Yuming Li, Maojin Xia, Yidong Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.

Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning.

Wenxin Hou, Yidong Wang, Shengzhou Gao, Takahiro Shinozaki

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Mapping Coastal Wetlands of the Bohai Rim at a Spatial Resolution of 10 m Using Multiple Open-Access Satellite Data and Terrain Indices.

Shaobo Sun, Yonggen Zhang, Zhaoliang Song, Baozhang Chen, Yangjian Zhang, Wenping Yuan, Chu Chen, Wei Chen, Xiangbin Ran, Yidong Wang

Remote. Sens., 2020

OccGAN: Semantic image augmentation for driving scenes.

Yidong Wang, Lisha Mo, Huimin Ma, Jian Yuan

Pattern Recognit. Lett., 2020

Piezoelectric SPDT NEMS Switch for Complementary Logic.

Xilin Liu, Haodi Ouyang, Yidong Wang

CoRR, 2020

Unsupervised segmentation via semantic-apparent feature fusion.

Xi Li, Huimin Ma, Hongbing Ma, Yidong Wang

CoRR, 2020

Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems.

Chenyuan Feng, Yidong Wang, Zhongyuan Zhao, Tony Q. S. Quek, Mugen Peng

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

Essential element-region driven model in image recognition.

Yidong Wang, Lisha Mo, Xiong Luo, Huimin Ma

Neurocomputing, 2019

Optimizing Train Formation Problem With Car Flow Routing and Train Routing by Benders-and-Price Approach.

Zekang Lan, Shiwei He, Yan Xu, Yidong Wang

IEEE Access, 2019

2017

Tweeting Mass Shootings: The Dynamics of Issue Attention on Social Media.

Yini Zhang, Yidong Wang, Jordan M. Foley, Jiyoun Suk, Devin Conathan

Proceedings of the 8th International Conference on Social Media & Society, 2017

A Method for Extracting Eye Movement and Response Characteristics to Distinguish Depressed People.

Chao Le, Huimin Ma, Yidong Wang

Proceedings of the Image and Graphics - 9th International Conference, 2017

2013

Research on two kinds of universal output feedback adaptive controller.

Junwei Lei, Yidong Wang

J. Frankl. Inst., 2013

2005

Scalable protection for MPEG-4 fine granularity scalability.

Bin B. Zhu, Chun Yuan, Yidong Wang, Shipeng Li

IEEE Trans. Multim., 2005

2003

Efficient and fully scalable encryption for MPEG-4 FGS.

Chun Yuan, Bin B. Zhu, Yidong Wang, Shipeng Li, Yuzhuo Zhong

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003