Guanchu Wang

According to our database, Guanchu Wang authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning.

Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu

CoRR, 2024

Assessing and Enhancing Large Language Models in Rare Disease Question-answering.

Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu

CoRR, 2024

Understanding Different Design Choices in Training Large Time Series Models.

Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu

CoRR, 2024

Large Language Models As Faithful Explainers.

Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu

CoRR, 2024

TVE: Learning Meta-attribution for Transferable Vision Explainer.

Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.

Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.

Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Graph-based conflict-free MAC protocol and conflict analysis for a two-layer ultraviolet communication network.

Yuchen Pan, Guanchu Wang, Yubo Zhang, Jingyin Tang, Chen Gong, Zhengyuan Xu

J. Opt. Commun. Netw., June, 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.

Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu

CoRR, 2023

DISPEL: Domain Generalization via Domain-Specific Liberating.

Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na

CoRR, 2023

Efficient GNN Explanation via Learning Removal-based Attribution.

Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Ben Hu

CoRR, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu

CoRR, 2023

Interactive System-wise Anomaly Detection.

Guanchu Wang, Ninghao Liu, Daochen Zha, Xia Ben Hu

CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.

Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu

CoRR, 2023

Efficient XAI Techniques: A Taxonomic Survey.

Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Ben Hu

CoRR, 2023

Mitigating Algorithmic Bias with Limited Annotations.

Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.

Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DIVISION: Memory Efficient Training via Dual Activation Precision.

Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu

Proceedings of the International Conference on Machine Learning, 2023

CoRTX: Contrastive Framework for Real-time Explanation.

Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Towards Memory Efficient Training via Dual Activation Precision.

Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu

CoRR, 2022

BED: A Real-Time Object Detection System for Edge Devices.

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

CoRR, 2022

Accelerating Shapley Explanation via Contributive Cooperator Selection.

Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu

Proceedings of the International Conference on Machine Learning, 2022

BED: A Real-Time Object Detection System for Edge Devices.

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

On the Achievable Rate and Capacity for a Sample-Based Practical Photon-Counting Receiver.

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

IEEE Trans. Commun., 2021

Revisiting Time Series Outlier Detection: Definitions and Benchmarks.

Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Ben Hu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Fairness via Representation Neutralization.

Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning.

Qiangxing Tian, Jinxin Liu, Guanchu Wang, Donglin Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

TODS: An Automated Time Series Outlier Detection System.

Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On the sum-rate capacity of poisson multiple access channel with non-perfect photon-counting receiver.

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

J. Commun. Inf. Networks, 2020

Independent Skill Transfer for Deep Reinforcement Learning.

Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks.

Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu

CoRR, 2019

On the Achievable Rate of a Sample-based Practical Photon-counting Receiver.

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

CoRR, 2019

Achievable Rate Bounds on Poisson Channel with a Sample-Based Practical Photon-Counting Receiver.

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

2018

Signal Characterization for Multiple Access Non-Line of Sight Scattering Communication.

Guanchu Wang, Chen Gong, Zhengyuan Xu

IEEE Trans. Commun., 2018

Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication.

Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017

Signal Detection and Achievable Rates for Multiple Access Optical Wireless Scattering Communication.

Guanchu Wang, Chen Gong, Zhengyuan Xu

Proceedings of the 2017 IEEE Global Communications Conference, 2017