Fan Yang - RankMe

90 papers A* 18A 6B 1Journal 58Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Catastrophic Forgetting in Kolmogorov-Arnold Networks. AAAI Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
2026	—	`conf`	Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering. EACL (Findings) Haiyan Zhao, Xuansheng Wu, Fan Yang, Bo Shen, Ninghao Liu, Mengnan Du
2026	—	`conf`	FaithLM: Towards Faithful Explanations for Large Language Models. EACL (Volume 1: Long Papers) Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu
2025	A*	`conf`	Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. ICLR Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du
2025	J	`jnl`	Catastrophic Forgetting in Kolmogorov-Arnold Networks. CoRR Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
2025	J	`jnl`	Data-centric Artificial Intelligence: A Survey. ACM Comput. Surv. Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Ben Hu
2025	J	`jnl`	Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering. CoRR Haiyan Zhao, Xuansheng Wu, Fan Yang, Bo Shen, Ninghao Liu, Mengnan Du
2025	A*	`conf`	Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms. IJCAI Kangning Cui, Rongkun Zhu, Manqi Wang, Wei Tang, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, Fan Yang, David Segurado, David A. Lutz, Jean-Michel Morel, Miles R. Silman
2025	J	`jnl`	Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms. CoRR Kangning Cui, Rongkun Zhu, Manqi Wang, Wei Tang, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, Fan Yang, David Segurado, David A. Lutz, Jean-Michel Morel, Miles R. Silman
2025	J	`jnl`	Efficient Localization and Spatial Distribution Modeling of Canopy Palms Using UAV Imagery. IEEE Trans. Geosci. Remote. Sens. Kangning Cui, Wei Tang, Rongkun Zhu, Manqi Wang, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, Fan Yang, David Segurado, Paul Fine, Jordan Karubian, Raymond H. Chan, Robert J. Plemmons, Jean-Michel Morel, Miles R. Silman
2025	B	`conf`	Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? COLING Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
2025	J	`jnl`	From Orthomosaics to Raw UAV Imagery: Enhancing Palm Detection and Crown-Center Localization. CoRR Rongkun Zhu, Kangning Cui, Wei Tang, Rui-Feng Wang, Sarra M. Alqahtani, David A. Lutz, Fan Yang, Paul Fine, Jordan Karubian, Robert J. Plemmons, Jean-Michel Morel, Victor Paúl Pauca, Miles R. Silman
2025	A*	`conf`	Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. AAAI Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du
2025	J	`jnl`	Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning. CoRR Zeru Shi, Yingjia Wan, Zhenting Wang, Qifan Wang, Fan Yang, Elisa Kreiss, Ruixiang Tang
2025	J	`jnl`	MoSAiC: Multi-Modal Multi-Label Supervision-Aware Contrastive Learning for Remote Sensing. CoRR Debashis Gupta, Aditi Golder, Rongkhun Zhu, Kangning Cui, Wei Tang, Fan Yang, Ovidiu Csillik, Sarra Alaqahtani, V. Paul Pauca
2025	J	`jnl`	Rep2Text: Decoding Full Text from a Single LLM Token Representation. CoRR Haiyan Zhao, Zirui He, Fan Yang, Ali Payani, Mengnan Du
2025	J	`jnl`	SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models. CoRR Zirui He, Haiyan Zhao, Yiran Qiao, Fan Yang, Ali Payani, Jing Ma, Mengnan Du
2025	J	`jnl`	SAIL: A Voyage to Symbolic Approximation Solutions for Time-Series Analysis. Proc. VLDB Endow. Fan Yang, John Paparrizos
2025	—	`conf`	Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold Mining. PAKDD (2) Debashis Gupta, Aditi Golder, Sahil Sidheekh, Sakib Imtiaz, Sarra Alaqahtani, Fan Yang, Gregory D. Larsen, Miles R. Silman, Luis Fernendez, Robert J. Plemmons, Sriraam Natarajan, V. Paul Pauca
2025	J	`jnl`	Towards Uncovering How Large Language ModelsWork: An Interpretability Perspective. SIGKDD Explor. Haiyan Zhao, Fan Yang, Bo Shen, Ali Payani, Himabindu Lakkaraju, Mengnan Du
2025	A	`conf`	Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. CIKM Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang
2024	J	`jnl`	A Survey on Time-Series Distance Measures. CoRR John Paparrizos, Haojun Li, Fan Yang, Kaize Wu, Jens E. d'Hondt, Odysseas Papapetrou
2024	J	`jnl`	ASGM-KG: Unveiling Alluvial Gold Mining Through Knowledge Graphs. CoRR Debashis Gupta, Aditi Golder, Luis Fernendez, Miles R. Silman, Greg Lersen, Fan Yang, Robert J. Plemmons, Sarra M. Alqahtani, Victor Paúl Pauca
2024	J	`jnl`	Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. CoRR Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du
2024	J	`jnl`	Bridging the Gap: A Decade Review of Time-Series Clustering Methods. CoRR John Paparrizos, Fan Yang, Haojun Li
2024	—	`conf`	Enhancing Explainable Rating Prediction through Annotated Macro Concepts. ACL (1) Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang
2024	J	`jnl`	Explainability for Large Language Models: A Survey. ACM Trans. Intell. Syst. Technol. Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2024	J	`jnl`	Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? CoRR Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
2024	J	`jnl`	Large Language Models As Faithful Explainers. CoRR Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
2024	J	`jnl`	Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability. CoRR Haiyan Zhao, Fan Yang, Himabindu Lakkaraju, Mengnan Du
2024	J	`jnl`	Quantifying Multilingual Performance of Large Language Models Across Languages. CoRR Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ninghao Liu, Mengnan Du
2024	J	`jnl`	Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery. CoRR Kangning Cui, Wei Tang, Rongkun Zhu, Manqi Wang, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, Fan Yang, David Segurado, Paul Fine, Jordan Karubian, Raymond H. Chan, Robert J. Plemmons, Jean-Michel Morel, Miles R. Silman
2024	A*	`conf`	TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024	J	`jnl`	Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang
2024	J	`jnl`	Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
2023	A	`conf`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2023	A*	`conf`	CoRTX: Contrastive Framework for Real-time Explanation. ICLR Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2023	J	`jnl`	CoRTX: Contrastive Framework for Real-time Explanation. CoRR Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2023	J	`jnl`	DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2023	A	`conf`	Data-centric AI: Perspectives and Challenges. SDM Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023	J	`jnl`	Data-centric AI: Perspectives and Challenges. CoRR Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023	A*	`conf`	Data-centric AI: Techniques and Future Perspectives. KDD Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
2023	J	`jnl`	Data-centric Artificial Intelligence: A Survey. CoRR Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
2023	J	`jnl`	Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. CoRR Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023	J	`jnl`	Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. SIGKDD Explor. Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023	A	`conf`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu
2023	J	`jnl`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu
2023	J	`jnl`	Efficient XAI Techniques: A Taxonomic Survey. CoRR Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Ben Hu
2023	J	`jnl`	Explainability for Large Language Models: A Survey. CoRR Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2023	J	`jnl`	Interpretation of Time-Series Deep Models: A Survey. CoRR Ziqi Zhao, Yucheng Shi, Shushan Wu, Fan Yang, Wenzhan Song, Ninghao Liu
2023	J	`jnl`	LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023	J	`jnl`	Nowhere-zero flows on tensor products of signed graphs. Discret. Math. Fan Yang, Chunyan Qin, Liangchen Li
2022	A*	`conf`	Accelerating Shapley Explanation via Contributive Cooperator Selection. ICML Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2022	J	`jnl`	Accelerating Shapley Explanation via Contributive Cooperator Selection. CoRR Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2022	A*	`conf`	DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2022	J	`jnl`	Defense Against Explanation Manipulation. Frontiers Big Data Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2022	J	`jnl`	Differentially Private Counterfactuals via Functional Mechanism. CoRR Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu
2022	A*	`conf`	EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. ICLR Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
2022	A*	`conf`	Generalized Demographic Parity for Group Fairness. ICLR Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
2021	J	`jnl`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	J	`jnl`	Defense Against Explanation Manipulation. CoRR Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2021	J	`jnl`	Fairness in Deep Learning: A Computational Perspective. IEEE Intell. Syst. Mengnan Du, Fan Yang, Na Zou, Xia Hu
2021	J	`jnl`	Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. CoRR Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu
2021	J	`jnl`	Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. SIGKDD Explor. Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu
2021	J	`jnl`	Learning credible DNNs via incorporating prior knowledge and model local explanation. Knowl. Inf. Syst. Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2021	A	`conf`	Machine Learning Explanations to Prevent Overtrust in Fake News Detection. ICWSM Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2021	A*	`conf`	Model-Based Counterfactual Synthesizer for Interpretation. KDD Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu
2021	J	`jnl`	Model-Based Counterfactual Synthesizer for Interpretation. CoRR Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu
2020	A*	`conf`	An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. KDD Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020	J	`jnl`	An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. CoRR Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020	A	`conf`	Deep Neural Networks with Knowledge Instillation. SDM Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu
2020	J	`jnl`	Machine Learning Explanations to Prevent Overtrust in Fake News Detection. CoRR Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2020	—	`conf`	Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. CVPR Workshops Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu
2019	J	`jnl`	Contextual Local Explanation for Black Box Classifiers. CoRR Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu
2019	J	`jnl`	Evaluating Explanation Without Ground Truth in Interpretable Machine Learning. CoRR Fan Yang, Mengnan Du, Xia Hu
2019	J	`jnl`	Fairness in Deep Learning: A Computational Perspective. CoRR Mengnan Du, Fan Yang, Na Zou, Xia Hu
2019	A*	`conf`	Large-Scale Heterogeneous Feature Embedding. AAAI Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
2019	A*	`conf`	Learning Credible Deep Neural Networks with Rationale Regularization. ICDM Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2019	J	`jnl`	Learning Credible Deep Neural Networks with Rationale Regularization. CoRR Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2019	A*	`conf`	On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. WWW Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019	J	`jnl`	On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. CoRR Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019	J	`jnl`	Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping. CoRR Haofan Wang, Mengnan Du, Fan Yang, Zijian Zhang
2019	J	`jnl`	XDeep: An Interpretation Tool for Deep Neural Networks. CoRR Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu
2019	A*	`conf`	XFake: Explainable Fake News Detector with Visualizations. WWW Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu
2019	J	`jnl`	XFake: Explainable Fake News Detector with Visualizations. CoRR Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu
2018	A*	`conf`	Towards Interpretation of Recommender Systems with Sorted Explanation Paths. ICDM Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu
2016	J	`jnl`	Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks. IEICE Trans. Commun. Fan Yang, Qinghai Yang, Kyung Sup Kwak
2015	J	`jnl`	A QoE-based Joint Bandwidth and Power Allocation Method for Multiple RATs in HetNets. ICT Express Fan Yang, Qinghai Yang, Kyung Sup Kwak, Fenglin Fu
2015	—	`conf`	Dynamic resource allocation for energy-efficiency maximization in heterogeneous wireless networks. WCSP Fan Yang, Qinghai Yang, Qingsu He, Kyung Sup Kwak
2014	—	`conf`	A QoE-based resource allocation scheme for multi-radio access in heterogeneous wireless network. ISCIT Fan Yang, Qinghai Yang, Fenglin Fu, Kyung Sup Kwak