Yidong Wang

81 papers A* 13A 4B 1C 1Misc 1Journal 52Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
DVD: A Robust Method for Detecting Variant Contamination in Large Language Model Evaluation.
CoRR
Renzhao Liang, Jingru Chen, Bo Jia, Bo Deng, Chenggang Xie, Yidong Wang, Ke Jin, Xin Wang, Linfeng Zhang, Cunxiang Wang
2026 — conf
EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations.
KDD (1)
Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, Xiaofeng Wang, Wei Dong
2026 J jnl
MVSS: A Unified Framework for Multi-View Structured Survey Generation.
CoRR
Yinqi Liu, Yueqi Zhu, Yongkang Zhang, Xinfeng Li, Feiran Liu, Yufei Sun, Xin Wang, Renzhao Liang, Yidong Wang, Cunxiang Wang
2026 J jnl
RAVEL: Reasoning Agents for Validating and Evaluating LLM Text Synthesis.
CoRR
Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Bosi Wen, Yidong Wang, Lin Fan, Yilin Zhou, Zikang Wang, Wenbo Yu, Lindong Wu, Hongning Wang, Minlie Huang
2026 J jnl
RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models.
CoRR
Andrew Zhuoer Feng, Cunxiang Wang, Bosi Wen, Yidong Wang, Yu Luo, Hongning Wang, Minlie Huang
2026 J jnl
Survey on Factuality in Large Language Models.
ACM Comput. Surv.
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2026 J jnl
TraceSIR: A Multi-Agent Framework for Structured Analysis and Reporting of Agentic Execution Traces.
CoRR
Shu-Xun Yang, Cunxiang Wang, Haoke Zhang, Wenbo Yu, Lindong Wu, Jiayi Gui, Dayong Yang, Yukuo Cen, Zhuoer Feng, Bosi Wen, Yidong Wang, Lucen Zhong, Jiamin Ren, Linfeng Zhang, Jie Tang
2026 A* conf
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge.
AAAI
Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang
2025 J jnl
Benchmarking and Studying the LLM-based Code Review.
CoRR
Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, Shikun Zhang
2025 J jnl
Deep Literature Survey Automation with an Iterative Workflow.
CoRR
Hongbo Zhang, Han Cui, Yidong Wang, Yijian Tian, Qi Guo, Cunxiang Wang, Jian Wu, Chiyu Song, Yue Zhang
2025 J jnl
EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations.
CoRR
Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, Xiaofeng Wang, Wei Dong
2025 J jnl
How Do Large Language Models Understand Genes and Cells.
ACM Trans. Intell. Syst. Technol.
Chen Fang, Yidong Wang, Yunze Song, Qingqing Long, Wang Lu, Linghui Chen, Guihai Feng, Yuanchun Zhou, Xin Li
2025 A* conf
Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
ICML
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025 A* conf
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation.
ICML
Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
2025 J jnl
RewardAnything: Generalizable Principle-Following Reward Models.
CoRR
Zhuohao Yu, Jiali Zeng, Weizheng Gu, Yidong Wang, Jindong Wang, Fandong Meng, Jie Zhou, Yue Zhang, Shikun Zhang, Wei Ye
2025 J jnl
SAEMark: Multi-bit LLM Watermarking with Inference-Time Scaling.
CoRR
Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Shikun Zhang, Wei Ye
2025 J jnl
StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error.
CoRR
Shuxun Yang, Cunxiang Wang, Yidong Wang, Xiaotao Gu, Minlie Huang, Jie Tang
2025 J jnl
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.
ACM Trans. Intell. Syst. Technol.
Chuanpeng Yang, Yao Zhu, Wang Lu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen
2025 J jnl
Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future.
CoRR
Yidong Wang, Xin Wang, Cunxiang Wang, Junfeng Fang, Qiufeng Wang, Jianing Chu, Xuran Meng, Shuxun Yang, Libo Qin, Yue Zhang, Wei Ye, Shikun Zhang
2025 J jnl
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them.
CoRR
Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Cunxiang Wang, Zhen Wu, Xinyu Dai, Yue Zhang, Wei Ye, Shikun Zhang
2025 J jnl
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge.
CoRR
Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang
2025 J jnl
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought.
CoRR
Zihui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Yidong Wang, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, Libo Qin
2024 A* conf
A General Framework for Learning from Weak Supervision.
ICML
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A General Framework for Learning from Weak Supervision.
CoRR
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A Survey on Evaluating Large Language Models in Code Generation Tasks.
CoRR
Liguo Chen, Qi Guo, Hongrui Jia, Zhengran Zeng, Xin Wang, Yijiang Xu, Jian Wu, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang
2024 J jnl
A Survey on Evaluation of Large Language Models.
ACM Trans. Intell. Syst. Technol.
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
2024 A* conf
AutoSurvey: Large Language Models Can Automatically Write Surveys.
NeurIPS
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
2024 J jnl
AutoSurvey: Large Language Models Can Automatically Write Surveys.
CoRR
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
2024 A conf
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios.
ISSTA
Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang
2024 J jnl
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios.
CoRR
Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang
2024 — conf
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CVPR Workshops
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2024 — conf
Enhancing In-Context Learning via Implicit Demonstration Augmentation.
ACL (1)
Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang
2024 J jnl
Enhancing In-Context Learning via Implicit Demonstration Augmentation.
CoRR
Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang
2024 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis.
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2024 — conf
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
EMNLP (System Demonstrations)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
2024 J jnl
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
CoRR
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
2024 J jnl
ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation.
CoRR
Yijiang Xu, Hongrui Jia, Liguo Chen, Xin Wang, Zhengran Zeng, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang, Zhonghai Wu
2024 A* conf
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
NeurIPS
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 — conf
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
ACL (1)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
CoRR
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
On the Diversity of Synthetic Data and its Impact on Training Large Language Models.
CoRR
Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I Abdin
2024 J jnl
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
IEEE Data Eng. Bull.
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
2024 J jnl
Outcome-Refining Process Supervision for Code Generation.
CoRR
Zhuohao Yu, Weizheng Gu, Yidong Wang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
2024 A conf
PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.
CIKM
Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou
2024 — conf
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness.
EMNLP (Findings)
Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye
2024 A* conf
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
ICLR
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
2024 — conf
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.
EMNLP (System Demonstrations)
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
2024 J jnl
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.
CoRR
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
2024 A* conf
Supervised Knowledge Makes Large Language Models Better In-context Learners.
ICLR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2024 J jnl
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.
CoRR
Chuanpeng Yang, Wang Lu, Yao Zhu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen
2024 A conf
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
SDM
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
2024 — conf
What Makes a Good Order of Examples in In-Context Learning.
ACL (Findings)
Qi Guo, Leiyu Wang, Yidong Wang, Wei Ye, Shikun Zhang
2023 J jnl
A Survey on Evaluation of Large Language Models.
CoRR
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2023 J jnl
Evaluating Open Question Answering Evaluation.
CoRR
Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang
2023 A* conf
Evaluating Open-QA Evaluation.
NeurIPS
Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang
2023 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
CoRR
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2023 A* conf
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
ICLR
Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
2023 J jnl
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
CoRR
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2023 A conf
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
CIKM
Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
2023 J jnl
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
CoRR
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2023 J jnl
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR
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
2023 J jnl
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
CoRR
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
2023 J jnl
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.
CoRR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 A* conf
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.
ICLR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 J jnl
Supervised Knowledge Makes Large Language Models Better In-context Learners.
CoRR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2023 J jnl
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR
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
2023 — conf
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CDPD
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
2022 J jnl
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CoRR
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2022 J jnl
Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process.
Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki
2022 B conf
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.
COLING
Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang
2022 J jnl
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.
CoRR
Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang
2022 J jnl
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
CoRR
Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele
2022 C conf
Margin Calibration for Long-Tailed Visual Recognition.
ACML
Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki
2022 J jnl
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CoRR
Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie
2022 A* conf
USB: A Unified Semi-supervised Learning Benchmark for Classification.
NeurIPS
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
2022 J jnl
USB: A Unified Semi-supervised Learning Benchmark.
CoRR
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
2021 J jnl
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition.
CoRR
Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki
2021 A* conf
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.
NeurIPS
Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki
2021 J jnl
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.
CoRR
Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki
2021 J jnl
Margin Calibration for Long-Tailed Visual Recognition.
CoRR
Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki
2021 Misc conf
Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning.
ICASSP
Wenxin Hou, Yidong Wang, Shengzhou Gao, Takahiro Shinozaki