Signal Detection and Achievable Rates for Multiple Access Optical Wireless Scattering Communication. - Guanchu Wang; Chen Gong 001; Zhengyuan Xu (GLOBECOM, 2017)

Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication. - Guanchu Wang; Chen Gong 001; Zhimeng Jiang; Zhengyuan Xu (ICC Workshops, 2018)

Signal Characterization for Multiple Access Non-Line of Sight Scattering Communication. - Guanchu Wang; Chen Gong 001; Zhengyuan Xu (IEEE Trans. Commun., 2018)

Achievable Rate Bounds on Poisson Channel with a Sample-Based Practical Photon-Counting Receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (ICC Workshops, 2019)

On the Achievable Rate of a Sample-based Practical Photon-counting Receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (CoRR, 2019)

A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks. - Guanchu Wang; Chen Gong 001; Zhimeng Jiang; Zhengyuan Xu (CoRR, 2019)

Independent Skill Transfer for Deep Reinforcement Learning. - Qiangxing Tian; Guanchu Wang; Jinxin Liu; Donglin Wang; Yachen Kang (IJCAI, 2020)

On the sum-rate capacity of poisson multiple access channel with non-perfect photon-counting receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (J. Commun. Inf. Networks, 2020)

TODS: An Automated Time Series Outlier Detection System. - Kwei-Herng Lai; Daochen Zha; Guanchu Wang; Junjie Xu; Yue Zhao 016; Devesh Kumar; Yile Chen 002; Purav Zumkhawaka; Minyang Wan; Diego Martinez; Xia Ben Hu (AAAI, 2021)

Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning. - Qiangxing Tian; Jinxin Liu; Guanchu Wang; Donglin Wang (IJCNN, 2021)

Fairness via Representation Neutralization. - Mengnan Du; Subhabrata Mukherjee; Guanchu Wang; Ruixiang Tang; Ahmed Hassan Awadallah; Xia Ben Hu (NeurIPS, 2021)

Revisiting Time Series Outlier Detection: Definitions and Benchmarks. - Kwei-Herng Lai; Daochen Zha; Junjie Xu; Yue Zhao 016; Guanchu Wang; Xia Ben Hu (NeurIPS Datasets and Benchmarks, 2021)

On the Achievable Rate and Capacity for a Sample-Based Practical Photon-Counting Receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (IEEE Trans. Commun., 2021)

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 (CIKM, 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)

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)

Towards Memory Efficient Training via Dual Activation Precision. - Guanchu Wang; Zirui Liu 001; Zhimeng Jiang; Ninghao Liu; Na Zou 001; Xia Ben Hu (CoRR, 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)

DIVISION: Memory Efficient Training via Dual Activation Precision. - Guanchu Wang; Zirui Liu 001; Zhimeng Jiang; Ninghao Liu; Na Zou 001; Xia Ben Hu (ICML, 2023)

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. - Zhimeng Stephen Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Rui Chen 012; Na Zou 001; Xia Hu 001 (NeurIPS, 2023)

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. - Zirui Liu 001; Guanchu Wang; Shaochen Zhong; Zhaozhuo Xu; Daochen Zha; Ruixiang (Ryan) Tang; Zhimeng Stephen Jiang; Kaixiong Zhou; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

Mitigating Algorithmic Bias with Limited Annotations. - Guanchu Wang; Mengnan Du; Ninghao Liu; Na Zou 001; Xia Ben Hu (ECML/PKDD (2), 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)

Weight Perturbation Can Help Fairness under Distribution Shift. - Zhimeng Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Na Zou 001; Xia Ben Hu (CoRR, 2023)

Interactive System-wise Anomaly Detection. - Guanchu Wang; Ninghao Liu; Daochen Zha; Xia Ben Hu (CoRR, 2023)

DISPEL: Domain Generalization via Domain-Specific Liberating. - Chia-Yuan Chang 002; Yu-Neng Chuang; Guanchu Wang; Mengnan Du; Zou Na (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)

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 001; Zhengyuan Xu (J. Opt. Commun. Netw., 2023)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. - Guanchu Wang; Yu-Neng Chuang; Ruixiang Tang; Shaochen Zhong; Jiayi Yuan 001; Hongye Jin; Zirui Liu 001; Vipin Chaudhary; Shuai Xu; James Caverlee; Xia Ben Hu (EMNLP, 2024)

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. - Jiayi Yuan 001; Hongyi Liu; Shaochen (Henry) Zhong; Yu-Neng Chuang; Songchen Li; Guanchu Wang; Duy Le 001; Hongye Jin; Vipin Chaudhary; Zhaozhuo Xu; Zirui Liu 001; Xia Ben Hu (EMNLP (Findings), 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)

Understanding Different Design Choices in Training Large Time Series Models. - Yu-Neng Chuang; Songchen Li; Jiayi Yuan 001; Guanchu Wang; Kwei-Herng Lai; Leisheng Yu; Sirui Ding; Chia-Yuan Chang 002; Qiaoyu Tan; Daochen Zha; Xia Hu 001 (CoRR, 2024)

Assessing and Enhancing Large Language Models in Rare Disease Question-answering. - Guanchu Wang; Junhao Ran; Ruixiang Tang; Chia-Yuan Chang 002; Yu-Neng Chuang; Zirui Liu 001; Vladimir Braverman; Zhandong Liu; Xia Hu 001 (CoRR, 2024)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. - Chia-Yuan Chang 002; Zhimeng Jiang; Vineeth Rakesh; Menghai Pan; Chin-Chia Michael Yeh; Guanchu Wang; Mingzhi Hu; Zhichao Xu; Yan Zheng 001; Mahashweta Das; Na Zou 001 (ACL (1), 2025)

Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models. - Mingyu Zhong; Guanchu Wang; Yu-Neng Chuang; Na Zou 001 (ACL (1), 2025)

Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning. - Boning Zhang; Dongzhu Liu; Osvaldo Simeone; Guanchu Wang; Dimitrios Pezaros; Guangxu Zhu (AISTATS, 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Na Zou 001; Hanjie Chen; Xia Hu 001 (Trans. Mach. Learn. Res., 2025)

Survey and Improvement Strategies for Gene Prioritization with Large Language Models. - Matthew Neeley; Guantong Qi; Guanchu Wang; Ruixiang Tang; Dongxue Mao; Chaozhong Liu; Sasidhar Pasupuleti; Bo Yuan 001; Fan Xia; Pengfei Liu; Zhandong Liu; Xia Ben Hu (CoRR, 2025)

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization. - Yu-Neng Chuang; Leisheng Yu; Guanchu Wang; Lizhe Zhang; Zirui Liu 001; Xuanting Cai; Yang Sui; Vladimir Braverman; Xia Ben Hu (CoRR, 2025)

I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining. - Haochen Zhang; Junze Yin; Guanchu Wang; Zirui Liu 001; Tianyi Zhang 011; Anshumali Shrivastava; Lin Yang 011; Vladimir Braverman (CoRR, 2025)

Efficient GNN Explanation via Learning Removal-based Attribution. - Yao Rong; Guanchu Wang; Qizhang Feng; Ninghao Liu; Zirui Liu 001; Enkelejda Kasneci; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Hanjie Chen; Xia Ben Hu (CoRR, 2025)

AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. - Feng Luo; Yu-Neng Chuang; Guanchu Wang; Hoang Anh Duy Le; Shaochen Zhong; Hongyi Liu; Jiayi Yuan 001; Yang Sui; Vladimir Braverman; Vipin Chaudhary; Xia Hu 001 (CoRR, 2025)

Self-ensemble: Mitigating Confidence Distortion for Large Language Models. - Zicheng Xu; Guanchu Wang; Guangyao Zheng; Yu-Neng Chuang; Alexander S. Szalay; Xia Ben Hu; Vladimir Braverman (CoRR, 2025)

Advancing Table Understanding of Large Language Models via Feature Re-ordering. - Guanchu Wang; Yuzhong Chen; Huiyuan Chen; Xiran Fan; Junpeng Wang 001; Xiaoting Li 001; Mingzhi Hu; Chia-Yuan Chang 002; Xia Hu 001 (SIGKDD Explor., 2025)