Jun Wang - RankMe

57 papers A* 14A 4C 2Misc 1Journal 23Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization. WWW Yang Qiu, Yixiong Zou, Jun Wang
2026	J	`jnl`	Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization. CoRR Yang Qiu, Yixiong Zou, Jun Wang
2025	A*	`conf`	Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. ICML Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
2025	J	`jnl`	Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. CoRR Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
2025	J	`jnl`	Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables. CoRR Xuzhao Geng, Haozhao Wang, Jun Wang, Wei Liu, Ruixuan Li
2025	J	`jnl`	Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization. Trans. Assoc. Comput. Linguistics Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li
2025	J	`jnl`	Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation. CoRR Wei Liu, Haomei Xu, Bingqing Liu, Zhiying Deng, Haozhao Wang, Jun Wang, Ruixuan Li, Yee Whye Teh, Wee Sun Lee
2025	A*	`conf`	Learning Optimal Multimodal Information Bottleneck Representations. ICML Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun
2025	J	`jnl`	Learning Optimal Multimodal Information Bottleneck Representations. CoRR Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun
2025	A*	`conf`	MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics. AAAI Kaichen Xu, Qilong Wu, Yan Lu, Yinan Zheng, Wenlin Li, Xingjie Tang, Jun Wang, Xiaobo Sun
2025	J	`jnl`	Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization. CoRR Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li
2025	—	`conf`	TABLET: Table Structure Recognition Using Encoder-only Transformers. ICDAR (5) Qiyu Hou, Jun Wang
2024	A	`conf`	Adversarial Attack for Explanation Robustness of Rationalization Models. ECAI Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu
2024	J	`jnl`	Adversarial Attack for Explanation Robustness of Rationalization Models. CoRR Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu
2024	A*	`conf`	Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. AAAI Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
2024	A*	`conf`	Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond. IJCAI Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, Xiaobo Sun
2024	J	`jnl`	Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond. CoRR Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, Xiaobo Sun
2024	A*	`conf`	Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images. ACM Multimedia Wenlin Li, Yucheng Xu, Xiaoqing Zheng, Suoya Han, Jun Wang, Xiaobo Sun
2024	J	`jnl`	Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images. CoRR Wenlin Li, Yucheng Xu, Xiaoqing Zheng, Suoya Han, Jun Wang, Xiaobo Sun
2024	A*	`conf`	Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. ICDE Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2024	A*	`conf`	Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. NeurIPS Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
2024	J	`jnl`	Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. CoRR Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
2024	J	`jnl`	MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics. CoRR Kaichen Xu, Qilong Wu, Yan Lu, Yinan Zheng, Wenlin Li, Xingjie Tang, Jun Wang, Xiaobo Sun
2024	A	`conf`	PAGE: Parametric Generative Explainer for Graph Neural Network. ECAI Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li
2024	J	`jnl`	PAGE: Parametric Generative Explainer for Graph Neural Network. CoRR Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li
2024	—	`conf`	Synthesizing Realistic Data for Table Recognition. ICDAR (1) Qiyu Hou, Jun Wang, Meixuan Qiao, Lujun Tian
2024	J	`jnl`	Synthesizing Realistic Data for Table Recognition. CoRR Qiyu Hou, Jun Wang, Meixuan Qiao, Lujun Tian
2023	A*	`conf`	D-Separation for Causal Self-Explanation. NeurIPS Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
2023	J	`jnl`	D-Separation for Causal Self-Explanation. CoRR Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
2023	A*	`conf`	Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. KDD Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
2023	J	`jnl`	Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. CoRR Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
2023	J	`jnl`	Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. CoRR Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
2023	J	`jnl`	Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. CoRR Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2023	—	`conf`	MGR: Multi-generator Based Rationalization. ACL (1) Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
2023	J	`jnl`	MGR: Multi-generator based Rationalization. CoRR Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
2023	—	`conf`	Structure Diagram Recognition in Financial Announcements. ICDAR (1) Meixuan Qiao, Jun Wang, Junfu Xiang, Qiyu Hou, Ruixuan Li
2023	J	`jnl`	Structure Diagram Recognition in Financial Announcements. CoRR Meixuan Qiao, Jun Wang, Junfu Xiang, Qiyu Hou, Ruixuan Li
2022	A*	`conf`	FR: Folded Rationalization with a Unified Encoder. NeurIPS Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
2022	J	`jnl`	FR: Folded Rationalization with a Unified Encoder. CoRR Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
2021	Misc	`conf`	Chinese Administrative Penalty Event Extraction for Due Diligence in Financial Markets. WISA Ying Li, Yuting Chen, Jun Wang, Ruixuan Li, Yuhua Li
2020	A	`conf`	Fine-Grained Text Sentiment Transfer via Dependency Parsing. ECAI Lulu Xiao, Xiaoye Qu, Ruixuan Li, Jun Wang, Pan Zhou, Yuhua Li
2019	—	`conf`	Automatic Topic Labeling for Facilitating Interpretability of Online Learning Materials. ICWL Jun Wang, Kanji Uchino
2019	A	`conf`	Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples. CIKM Wenjin Yan, Ruixuan Li, Jun Wang, Yuhua Li, Jinyang Wang, Pan Zhou, Xiwu Gu
2019	—	`conf`	Interactive Topic Model with Enhanced Interpretability. IUI Workshops Jun Wang, Changsheng Zhao, Junfu Xiang, Kanji Uchino
2018	—	`conf`	Working with Beliefs: AI Transparency in the Enterprise. IUI Workshops Ajay Chander, Ramya Srinivasan, Suhas Chelian, Jun Wang, Kanji Uchino
2017	—	`conf`	Mining Domain-Specific Accounts for Scientific Contents from Social Media. ICWL Jun Wang, Junfu Xiang, Yun Zhang, Kanji Uchino
2016	—	`conf`	Domain-Specific Recommendation by Matching Real Authors to Social Media Users. ICWL Jun Wang, Junfu Xiang, Kanji Uchino
2015	—	`conf`	Topic-Specific Recommendation for Open Education Resources. ICWL Jun Wang, Junfu Xiang, Kanji Uchino
2010	J	`jnl`	A Benchmark Diagnostic Model Generation System. IEEE Trans. Syst. Man Cybern. Part A Jun Wang, Gregory M. Provan
2009	—	`conf`	A Comparative Analysis of Specific Spatial Network Topological Models. Complex (2) Jun Wang, Gregory M. Provan
2009	—	`conf`	Characterizing the Structural Complexity of Real-World Complex Networks. Complex (1) Jun Wang, Gregory M. Provan
2009	J	`jnl`	Topological Analysis of Specific Spatial Complex Networks. Adv. Complex Syst. Jun Wang, Gregory M. Provan
2008	A*	`conf`	Generating Application-Specific Benchmark Models for Complex Systems. AAAI Jun Wang, Gregory M. Provan
2007	A*	`conf`	Automated Benchmark Model Generators for Model-Based Diagnostic Inference. IJCAI Gregory M. Provan, Jun Wang
2006	C	`conf`	RSS Feed Generation from Legacy HTML Pages. APWeb Jun Wang, Kanji Uchino, Tetsuro Takahashi, Seishi Okamoto
2003	C	`conf`	On Intra-page and Inter-page Semantic Analysis of Web Pages. PACLIC Jun Wang, Jicheng Wang, Gangshan Wu, Hiroshi Tsuda
2001	—	`conf`	Rerank Method Based on Individual Thesaurus. NTCIR Youli Qu, Guowei Xu, Jun Wang