Xia Ben Hu - RankMe

45 papers A* 7A 3Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization. CoRR Yu-Neng Chuang, Leisheng Yu, Guanchu Wang, Lizhe Zhang, Zirui Liu, Xuanting Cai, Yang Sui, Vladimir Braverman, Xia Ben Hu
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`	Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning. J. Am. Medical Informatics Assoc. Sirui Ding, Yafen Liang, Chia-Yuan Chang, Cheryl Brown, Xiaoqian Jiang, Xia Ben Hu, Na Zou
2025	J	`jnl`	Fair Machine Learning in Healthcare: A Survey. IEEE Trans. Artif. Intell. Qizhang Feng, Mengnan Du, Na Zou, Xia Ben Hu
2025	J	`jnl`	More for Keys, Less for Values: Adaptive KV Cache Quantization. CoRR Mohsen Hariri, Lam Nguyen, Sixu Chen, Shaochen Zhong, Qifan Wang, Xia Ben Hu, Xiaotian Han, Vipin Chaudhary
2025	J	`jnl`	Self-ensemble: Mitigating Confidence Distortion for Large Language Models. CoRR Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alexander S. Szalay, Xia Ben Hu, Vladimir Braverman
2025	J	`jnl`	Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. CoRR Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Ben Hu
2025	J	`jnl`	Survey and Improvement Strategies for Gene Prioritization with Large Language Models. CoRR Matthew Neeley, Guantong Qi, Guanchu Wang, Ruixiang Tang, Dongxue Mao, Chaozhong Liu, Sasidhar Pasupuleti, Bo Yuan, Fan Xia, Pengfei Liu, Zhandong Liu, Xia Ben Hu
2025	J	`jnl`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CoRR Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu
2024	J	`jnl`	Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen
2024	A*	`conf`	Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Gradient Rewiring for Editable Graph Neural Network Training. CoRR Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
2024	—	`conf`	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. EMNLP (Findings) Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu
2024	—	`conf`	Learning to Compress Prompt in Natural Language Formats. NAACL-HLT Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu
2024	A*	`conf`	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. EMNLP Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben 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	A*	`conf`	DIVISION: Memory Efficient Training via Dual Activation Precision. ICML Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben 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 GNN Explanation via Learning Removal-based Attribution. CoRR Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, 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`	Interactive System-wise Anomaly Detection. CoRR Guanchu Wang, Ninghao Liu, Daochen Zha, Xia Ben Hu
2023	—	`conf`	Mitigating Algorithmic Bias with Limited Annotations. ECML/PKDD (2) Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu
2023	J	`jnl`	Weight Perturbation Can Help Fairness under Distribution Shift. CoRR Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu
2023	J	`jnl`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu
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`	BED: A Real-Time Object Detection System for Edge Devices. CIKM Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Ben Hu
2022	J	`jnl`	BED: A Real-Time Object Detection System for Edge Devices. CoRR Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xia Ben Hu
2022	J	`jnl`	Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Imtiaz Ahmed, Travis Galoppo, Xia Ben Hu, Yu Ding
2022	J	`jnl`	Mitigating Algorithmic Bias with Limited Annotations. CoRR Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu
2022	A	`conf`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	J	`jnl`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	J	`jnl`	Towards Memory Efficient Training via Dual Activation Precision. CoRR Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2022	A	`conf`	Tutorial on Deep Learning Interpretation: A Data Perspective. CIKM Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin
2021	J	`jnl`	ExAD: An Ensemble Approach for Explanation-based Adversarial Detection. CoRR Raj Vardhan, Ninghao Liu, Phakpoom Chinprutthiwong, Weijie Fu, Zhenyu Hu, Xia Ben Hu, Guofei Gu
2021	A*	`conf`	Fairness via Representation Neutralization. NeurIPS Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu
2021	J	`jnl`	Fairness via Representation Neutralization. CoRR Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu
2021	J	`jnl`	Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection. J. Mach. Learn. Res. Imtiaz Ahmed, Xia Ben Hu, Mithun P. Acharya, Yu Ding
2021	—	`conf`	Revisiting Time Series Outlier Detection: Definitions and Benchmarks. NeurIPS Datasets and Benchmarks Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Ben Hu
2021	A*	`conf`	TODS: An Automated Time Series Outlier Detection System. AAAI Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu
2020	J	`jnl`	Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection. CoRR Imtiaz Ahmed, Travis Galoppo, Xia Ben Hu, Yu Ding
2020	J	`jnl`	Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point Anomaly Detection. CoRR Imtiaz Ahmed, Xia Ben Hu, Mithun P. Acharya, Yu Ding
2020	J	`jnl`	TODS: An Automated Time Series Outlier Detection System. CoRR Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu