Guanchu Wang

70 papers A* 11A 3B 2Journal 44Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
Catastrophic Forgetting in Kolmogorov-Arnold Networks.
AAAI
Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
2026 J jnl
Context matching is not reasoning when performing generalized clinical evaluation of generative language models.
npj Digit. Medicine
Andrew Wen, Qiuhao Lu, Yu-Neng Chuang, Guanchu Wang, Jiayi Yuan, Jiamu Zhang, Liwei Wang, Sunyang Fu, Kurt Miller, Heling Jia, Stephen Bedrick, William R. Hersh, Kirk E. Roberts, Xia (Ben) Hu, Hongfang Liu
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
2026 J jnl
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data.
CoRR
Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou
2025 — conf
A Decoupled Multi-Agent Framework for Complex Text Style Transfer.
EMNLP (Findings)
Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu
2025 J jnl
Advancing Table Understanding of Large Language Models via Feature Re-ordering.
SIGKDD Explor.
Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu
2025 J jnl
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models.
CoRR
Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu
2025 J jnl
Catastrophic Forgetting in Kolmogorov-Arnold Networks.
CoRR
Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
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
DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching.
CoRR
Zicheng Xu, Guanchu Wang, Yu-Neng Chuang, Guangyao Zheng, Alexander S. Szalay, Zirui Liu, Vladimir Braverman
2025 J jnl
Efficient GNN Explanation via Learning Removal-based Attribution.
ACM Trans. Knowl. Discov. Data
Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Hu
2025 J jnl
I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining.
CoRR
Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Tianyi Zhang, Anshumali Shrivastava, Lin Yang, Vladimir Braverman
2025 J jnl
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting.
SIGKDD Explor.
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu
2025 — conf
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
ACL (1)
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 J jnl
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
CoRR
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 A conf
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning.
AISTATS
Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu
2025 — conf
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models.
ACL (1)
Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang, Na Zou
2025 — conf
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models.
EMNLP (Findings)
Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alex Szalay, Xia Hu, Vladimir Braverman
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
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
Trans. Mach. Learn. Res.
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia 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
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models.
CoRR
Ziyan Wang, Enmao Diao, Qi Le, Pu Wang, Guanchu Wang, Minwoo Lee, Shu-Ping Yeh, Li Yang
2024 J jnl
Assessing and Enhancing Large Language Models in Rare Disease Question-answering.
CoRR
Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia 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 J jnl
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
CoRR
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 Hu
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
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning.
CoRR
Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu
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 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
2024 J jnl
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
CoRR
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2024 J jnl
Understanding Different Design Choices in Training Large Time Series Models.
CoRR
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
2023 A* conf
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.
NeurIPS
Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, 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
DISPEL: Domain Generalization via Domain-Specific Liberating.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na
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 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 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
Graph-based conflict-free MAC protocol and conflict analysis for a two-layer ultraviolet communication network.
J. Opt. Commun. Netw.
Yuchen Pan, Guanchu Wang, Yubo Zhang, Jingyin Tang, Chen Gong, Zhengyuan Xu
2023 J jnl
Interactive System-wise Anomaly Detection.
CoRR
Guanchu Wang, Ninghao Liu, Daochen Zha, Xia Ben Hu
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 — 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 A* conf
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
NeurIPS
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia 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
Mitigating Algorithmic Bias with Limited Annotations.
CoRR
Guanchu Wang, Mengnan Du, Ninghao Liu, 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
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
On the Achievable Rate and Capacity for a Sample-Based Practical Photon-Counting Receiver.
IEEE Trans. Commun.
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
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
2021 B conf
Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning.
IJCNN
Qiangxing Tian, Jinxin Liu, Guanchu Wang, Donglin Wang
2020 A* conf
Independent Skill Transfer for Deep Reinforcement Learning.
IJCAI
Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang
2020 J jnl
On the sum-rate capacity of poisson multiple access channel with non-perfect photon-counting receiver.
J. Commun. Inf. Networks
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
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
2019 J jnl
A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks.
CoRR
Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu
2019 — conf
Achievable Rate Bounds on Poisson Channel with a Sample-Based Practical Photon-Counting Receiver.
ICC Workshops
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2019 J jnl
On the Achievable Rate of a Sample-based Practical Photon-counting Receiver.
CoRR
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2019 J jnl
On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver.
CoRR
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2018 — conf
Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication.
ICC Workshops
Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu
2018 J jnl
Signal Characterization for Multiple Access Non-Line of Sight Scattering Communication.
IEEE Trans. Commun.
Guanchu Wang, Chen Gong, Zhengyuan Xu
2017 B conf
Signal Detection and Achievable Rates for Multiple Access Optical Wireless Scattering Communication.
GLOBECOM
Guanchu Wang, Chen Gong, Zhengyuan Xu