A QoE-based resource allocation scheme for multi-radio access in heterogeneous wireless network. - Fan Yang 023; Qinghai Yang; Fenglin Fu; Kyung Sup Kwak (ISCIT, 2014)

Dynamic resource allocation for energy-efficiency maximization in heterogeneous wireless networks. - Fan Yang 023; Qinghai Yang; Qingsu He; Kyung Sup Kwak (WCSP, 2015)

A QoE-based Joint Bandwidth and Power Allocation Method for Multiple RATs in HetNets. - Fan Yang 023; Qinghai Yang; Kyung Sup Kwak; Fenglin Fu (ICT Express, 2015)

Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks. - Fan Yang 023; Qinghai Yang; Kyung Sup Kwak (IEICE Trans. Commun., 2016)

Towards Interpretation of Recommender Systems with Sorted Explanation Paths. - Fan Yang 023; Ninghao Liu; Suhang Wang; Xia Hu 001 (ICDM, 2018)

Large-Scale Heterogeneous Feature Embedding. - Xiao Huang 001; Qingquan Song; Fan Yang 023; Xia Hu 001 (AAAI, 2019)

Learning Credible Deep Neural Networks with Rationale Regularization. - Mengnan Du; Ninghao Liu; Fan Yang 023; Xia Hu 001 (ICDM, 2019)

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. - Mengnan Du; Ninghao Liu; Fan Yang 023; Shuiwang Ji; Xia Hu 001 (WWW, 2019)

XFake: Explainable Fake News Detector with Visualizations. - Fan Yang 023; Shiva K. Pentyala; Sina Mohseni; Mengnan Du; Hao Yuan 001; Rhema Linder; Eric D. Ragan; Shuiwang Ji; Xia (Ben) Hu (WWW, 2019)

Evaluating Explanation Without Ground Truth in Interpretable Machine Learning. - Fan Yang 023; Mengnan Du; Xia Hu 001 (CoRR, 2019)

Contextual Local Explanation for Black Box Classifiers. - Zijian Zhang; Fan Yang 023; Haofan Wang; Xia Hu 001 (CoRR, 2019)

Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping. - Haofan Wang; Mengnan Du; Fan Yang 023; Zijian Zhang (CoRR, 2019)

XDeep: An Interpretation Tool for Deep Neural Networks. - Fan Yang 023; Zijian Zhang; Haofan Wang; Yuening Li; Xia Hu 001 (CoRR, 2019)

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. - Haofan Wang; Zifan Wang 001; Mengnan Du; Fan Yang 023; Zijian Zhang; Sirui Ding; Piotr Mardziel; Xia Hu 001 (CVPR Workshops, 2020)

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. - Ruixiang Tang; Mengnan Du; Ninghao Liu; Fan Yang 023; Xia Hu 001 (KDD, 2020)

Deep Neural Networks with Knowledge Instillation. - Fan Yang 023; Ninghao Liu; Mengnan Du; Kaixiong Zhou; Shuiwang Ji; Xia Hu 001 (SDM, 2020)

Machine Learning Explanations to Prevent Overtrust in Fake News Detection. - Sina Mohseni; Fan Yang 023; Shiva K. Pentyala; Mengnan Du; Yi Liu 059; Nic Lupfer; Xia Hu 001; Shuiwang Ji; Eric D. Ragan (ICWSM, 2021)

Model-Based Counterfactual Synthesizer for Interpretation. - Fan Yang 023; Sahan Suresh Alva; Jiahao Chen; Xia Hu 001 (KDD, 2021)

Fairness in Deep Learning: A Computational Perspective. - Mengnan Du; Fan Yang 023; Na Zou 001; Xia Hu 001 (IEEE Intell. Syst., 2021)

Learning credible DNNs via incorporating prior knowledge and model local explanation. - Mengnan Du; Ninghao Liu; Fan Yang 023; Xia Hu 001 (Knowl. Inf. Syst., 2021)

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. - Fan Yang 023; Ninghao Liu; Mengnan Du; Xia Hu 001 (SIGKDD Explor., 2021)

DEGREE: Decomposition Based Explanation for Graph Neural Networks. - Qizhang Feng; Ninghao Liu; Fan Yang 023; Ruixiang Tang; Mengnan Du; Xia Hu 001 (ICLR, 2022)

Generalized Demographic Parity for Group Fairness. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Fan Yang 023; Ali Mostafavi; Xia Hu 001 (ICLR, 2022)

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. - Zirui Liu 001; Kaixiong Zhou; Fan Yang 023; Li Li 035; Rui Chen 012; Xia Hu 001 (ICLR, 2022)

Accelerating Shapley Explanation via Contributive Cooperator Selection. - Guanchu Wang; Yu-Neng Chuang; Mengnan Du; Fan Yang 023; Quan Zhou; Pushkar Tripathi; Xuanting Cai; Xia Ben Hu (ICML, 2022)

Differentially Private Counterfactuals via Functional Mechanism. - Fan Yang 023; Qizhang Feng; Kaixiong Zhou; Jiahao Chen; Xia Hu 001 (CoRR, 2022)

Defense Against Explanation Manipulation. - Ruixiang Tang; Ninghao Liu; Fan Yang 023; Na Zou 001; Xia Hu 001 (Frontiers Big Data, 2022)

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Kwei-Herng Lai; Daochen Zha; Ruixiang Tang; Fan Yang 023; Alfredo Costilla-Reyes; Kaixiong Zhou; Xiaoqian Jiang; Xia Hu 001 (CIKM, 2023)

CoRTX: Contrastive Framework for Real-time Explanation. - Yu-Neng Chuang; Guanchu Wang; Fan Yang 023; Quan Zhou; Pushkar Tripathi; Xuanting Cai; Xia Ben Hu (ICLR, 2023)

Data-centric AI: Techniques and Future Perspectives. - Daochen Zha; Kwei-Herng Lai; Fan Yang 023; Na Zou 001; Huiji Gao; Xia Hu 001 (KDD, 2023)

Data-centric AI: Perspectives and Challenges. - Daochen Zha; Zaid Pervaiz Bhat; Kwei-Herng Lai; Fan Yang 023; Xia Hu 001 (SDM, 2023)

Adaptive Label Smoothing To Regularize Large-Scale Graph Training. - Kaixiong Zhou; Soo-Hyun Choi; Zirui Liu 001; Ninghao Liu; Fan Yang 023; Rui Chen 012; Li Li 035; Xia Hu 001 (SDM, 2023)

Efficient XAI Techniques: A Taxonomic Survey. - Yu-Neng Chuang; Guanchu Wang; Fan Yang 023; Zirui Liu 001; Xuanting Cai; Mengnan Du; Xia Ben Hu (CoRR, 2023)

Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. - Ruixiang Tang; Qizhang Feng; Ninghao Liu; Fan Yang 023; Xia Hu 001 (CoRR, 2023)

Interpretation of Time-Series Deep Models: A Survey. - Ziqi Zhao; Yucheng Shi; Shushan Wu; Fan Yang 023; Wenzhan Song 001; Ninghao Liu (CoRR, 2023)

LETA: Learning Transferable Attribution for Generic Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (CoRR, 2023)

Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. - Ruixiang Tang; Qizhang Feng; Ninghao Liu; Fan Yang 023; Xia Hu 001 (SIGKDD Explor., 2023)

Nowhere-zero flows on tensor products of signed graphs. - Fan Yang 023; Chunyan Qin; Liangchen Li (Discret. Math., 2023)

Enhancing Explainable Rating Prediction through Annotated Macro Concepts. - Huachi Zhou; Shuang Zhou 012; Hao Chen 062; Ninghao Liu; Fan Yang 023; Xiao Huang 001 (ACL (1), 2024)

TVE: Learning Meta-attribution for Transferable Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (ICML, 2024)

Large Language Models As Faithful Explainers. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Ruixiang Tang; Fan Yang 023; Mengnan Du; Xuanting Cai; Xia Hu 001 (CoRR, 2024)

Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability. - Haiyan Zhao 003; Fan Yang 023; Himabindu Lakkaraju; Mengnan Du (CoRR, 2024)

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. - Xuansheng Wu; Haiyan Zhao 003; Yaochen Zhu; Yucheng Shi; Fan Yang 023; Tianming Liu 001; Xiaoming Zhai; Wenlin Yao; Jundong Li; Mengnan Du; Ninghao Liu (CoRR, 2024)

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (CoRR, 2024)

Quantifying Multilingual Performance of Large Language Models Across Languages. - Zihao Li; Yucheng Shi; Zirui Liu 001; Fan Yang 023; Ninghao Liu; Mengnan Du (CoRR, 2024)

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. - Qingcheng Zeng; Mingyu Jin; Qinkai Yu; Zhenting Wang; Wenyue Hua; Zihao Zhou; Guangyan Sun; Yanda Meng; Shiqing Ma; Qifan Wang 001; Felix Juefei-Xu; Kaize Ding; et al. (CoRR, 2024)

ASGM-KG: Unveiling Alluvial Gold Mining Through Knowledge Graphs. - Debashis Gupta; Aditi Golder; Luis Fernendez; Miles R. Silman; Greg Lersen; Fan Yang 023; Robert J. Plemmons; Sarra M. Alqahtani; Victor Paúl Pauca (CoRR, 2024)

Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery. - Kangning Cui; Wei Tang; Rongkun Zhu; Manqi Wang; Gregory D. Larsen; Victor Paúl Pauca; Sarra M. Alqahtani; Fan Yang 023; David Segurado; Paul Fine; Jordan Karubian; Raymond H. Chan; et al. (CoRR, 2024)

A Survey on Time-Series Distance Measures. - John Paparrizos; Haojun Li; Fan Yang 023; Kaize Wu; Jens E. d'Hondt; Odysseas Papapetrou (CoRR, 2024)

Bridging the Gap: A Decade Review of Time-Series Clustering Methods. - John Paparrizos; Fan Yang 023; Haojun Li (CoRR, 2024)

Explainability for Large Language Models: A Survey. - Haiyan Zhao 003; Hanjie Chen; Fan Yang 023; Ninghao Liu; Huiqi Deng; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Mengnan Du (ACM Trans. Intell. Syst. Technol., 2024)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. - Zihao Li; Yucheng Shi; Zirui Liu 001; Fan Yang 023; Ali Payani; Ninghao Liu; Mengnan Du (AAAI, 2025)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (COLING, 2025)

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. - Haiyan Zhao 003; Heng Zhao; Bo Shen; Ali Payani; Fan Yang 023; Mengnan Du (ICLR, 2025)

Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold Mining. - Debashis Gupta; Aditi Golder; Sahil Sidheekh; Sakib Imtiaz; Sarra Alaqahtani; Fan Yang 023; Gregory D. Larsen; Miles R. Silman; Luis Fernendez; Robert J. Plemmons; Sriraam Natarajan; V. Paul Pauca (PAKDD (2), 2025)

Efficient Localization and Spatial Distribution Modeling of Canopy Palms Using UAV Imagery. - Kangning Cui; Wei Tang; Rongkun Zhu; Manqi Wang; Gregory D. Larsen; Victor Paúl Pauca; Sarra M. Alqahtani; Fan Yang 023; David Segurado; Paul Fine; Jordan Karubian; Raymond H. Chan; et al. (IEEE Trans. Geosci. Remote. Sens., 2025)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models. - Zirui He; Haiyan Zhao 003; Yiran Qiao 001; Fan Yang 023; Ali Payani; Jing Ma 002; Mengnan Du (CoRR, 2025)

Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms. - Kangning Cui; Rongkun Zhu; Manqi Wang; Wei Tang; Gregory D. Larsen; Victor Paúl Pauca; Sarra M. Alqahtani; Fan Yang 023; David Segurado; David A. Lutz; Jean-Michel Morel; Miles R. Silman (CoRR, 2025)

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering. - Haiyan Zhao 003; Xuansheng Wu; Fan Yang 023; Bo Shen; Ninghao Liu; Mengnan Du (CoRR, 2025)

Data-centric Artificial Intelligence: A Survey. - Daochen Zha; Zaid Pervaiz Bhat; Kwei-Herng Lai; Fan Yang 023; Zhimeng Jiang; Shaochen Zhong; Xia Ben Hu (ACM Comput. Surv., 2025)

MoSAiC: Multi-Modal Multi-Label Supervision-Aware Contrastive Learning for Remote Sensing. - Debashis Gupta; Aditi Golder; Rongkhun Zhu; Kangning Cui; Wei Tang; Fan Yang 023; Ovidiu Csillik; Sarra Alaqahtani; V. Paul Pauca (CoRR, 2025)