Guanchu (Gary) Wang

Ph.D. Candidate
Department of Computer Science
Rice University
Address: Duncan Hall 3014, 6100 Main St, Houston, TX 77005
Email: Guanchu.Wang@rice.edu
[CV] [Linkedin] [Google Scholar] [DBLP] [ResearchGate] [Paper with code]

DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching

Zicheng Xu, Xiuyi Lou, Guanchu Wang✝, Yu-Neng Chuang, Feng Luo, Guangyao Zheng, Alex Szalay, Zirui Liu, Vladimir Braverman✝
International Conference on Machine Learning, ICML 2026.
[Summary] [Paper] [Code]

FAFO: Lossy KV Cache Compression for Lossless Inference Acceleration via Draftless Fumble Decoding

Hoang Anh Duy Le*, Shaochen Zhong*, Yifan Lu, Yingtong Dou, Jiayi Yuan, Yu-Neng Chuang, Xiran Fan, Guanchu Wang, Yuzhong Chen, Xia Hu
International Conference on Machine Learning, ICML 2026.
[Summary] [Paper] [Code]

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, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu
Findings of the Association for Computational Linguistics, ACL 2026.
[Summary] [Paper] [Code]

Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models

Ziyan Wang, Enmao Diao, Qi Le, Pu Wang, Guanchu Wang, Minwoo Lee, Shu-ping Yeh, Li Yang
The Chips to Systems Conference, DAC 2026.
[Summary] [Paper] [Code]

FaithLM: Towards Faithful Explanations for Large Language Models

Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Mengnan Du, Xuanting Cai, and Xia Hu
Conference of the European Chapter of the Association for Computational Linguistics, Oral, EACL 2026.
[Summary] [Paper] [Code]

Catastrophic Forgetting in Kolmogorov-Arnold Networks

Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
AAAI Conference on Artificial Intelligence, AAAI 2025.
[Summary] [Paper] [Code]

Context Matching is Not Eeasoning When Performing Generalized Clinical Evaluation of Generative Language Models

Andrew Wen, Qiuhao Lu, Yu-Neng Chuang, Guanchu Wang, Jiayi Yuan, Jiamu Zhang, Liwei Wang, Sunyang Fu, Kurt D Miller, Heling Jia, Steven D Bedrick, William R Hersh, Kirk E Roberts, Xia Hu, and Hongfang Liu
Nature Partner Journals, Digital Medicine, December issue, 2025.
[Summary] [Paper] [Code]

Ltsm-bundle: A toolbox and benchmark on large language models for time series forecasting

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
KDD Exploration, Volume 27, Issue 2, 2025.
[Summary] [Paper] [Code]

Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining

Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Lin Yang, Tianyi Zhang, Anshumali Shrivastava, Vladimir Braverman
Neural Information Processing Systems, NeurIPS 2025.
[Summary] [Paper] [Code]

Self-ensemble: Mitigating Confidence Distortion for Large Language Models

Zicheng Xu*, Guanchu Wang*, Guangyao Zheng, Yu-Neng Chuang, Alexander Szalay, Xia Hu, Vladimir Braverman
Finding of Empirical Methods in Natural Language Processing, EMNLP 2025.
[Summary] [Paper] [Code]

A Decoupled Multi-Agent Framework for Complex Text Style Transfer

LingXi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu
Finding of Empirical Methods in Natural Language Processing, EMNLP 2025.
[Summary] [Paper] [Code]

Survey and Improvement Strategies for Gene Prioritization with Large Language Models

Matthew B. Neeley*, B.S., Guantong Qi*, B.S., Guanchu Wang*, M.S., Ruixiang Tang, Ph.D., Dongxue Mao, Ph.D., Chaozhong Liu, Ph.D., Sasidhar Pasupuleti, M.S., Bo Yuan, Ph.D., Fan Xia, Ph.D., Hugo Bellen, D.V.M, Ph.D., Pengfei Liu, Ph.D., Zhandong Liu, Ph.D., Xia Hu, Ph.D.
Bioinformatics Advances, 2025.
[Summary] [Paper] [Code]

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen (Henry) Zhong, Hanjie Chen, Xia Hu
Transactions on Machine Learning Research, 2025.
[Summary] [Paper] [Code]

Advancing Table Understanding of Large Language Models via Feature Re-ordering

Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu
KDD Exploration, June issue, 2025.
[Summary] [Paper] [Code] [Abstract]

Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models

Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang, Na Zou
Association for Computational Linguistics, ACL 2025.
[Summary] [Paper] [Code]

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation

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
Association for Computational Linguistics, ACL 2025.
[Summary] [Paper] [Code]

Personalizing Low-rank Bayesian Neural Networks Via Federated Learning

Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu
Artificial Intelligence and Statistics, AISTATS 2025.
[Summary] [Paper] [Code]

TaylorUnswift: 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 Hu
Empirical Methods in Natural Language Processing, EMNLP 2024.
[Summary] [Paper] [Code]

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 Hu
Finding of Empirical Methods in Natural Language Processing, EMNLP 2024.
[Summary] [Paper] [Code]

Efficient GNN Explanation via Learning Removal-based Attribution

Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci and Xia Hu
Transactions on Knowledge Discovery from Data.
[Summary] [Paper] [Code]

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, and Xia Hu
International Conference on Machine Learning, ICML 2024.
[Summary] [Paper] [Code]

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 and Xia Hu
Neural Information Processing Systems, NeurIPS 2023.
[Summary] [Paper] [Code]

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

Yu-neng Chuang, Guanchu Wang, Chia-Yuan Zhang, Kwei-Herng Lai, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang and Xia Hu
International Conference on Information and Knowledge Management, Demo Track, Best Paper Finalist, CIKM 2023.
[Summary] [Paper] [Code] [Demo] [FrontEnd]

Mitigating Algorithmic Bias with Limited Annotations

Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou and Xia Hu
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ECML-PKDD 2023
[Summary] [Paper] [Code]

DIVISION: Memory Efficient Training via Dual Activation Precision

Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou and Xia Hu
International Conference on Machine Learning, ICML 2023.
[Summary] [Paper] [Code]

CoRTX: Contrastive Learning for Real-time Explanations

Yu-Neng Chuang*, Guanchu Wang*, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai and Xia Hu
(* Equal contribution) International Conference on Learning Representations, ICLR 2023.
[Summary] [Paper] [Code] [News]

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, Gorkem Ulkar, Erman Okman, Xuanting Cai, Xia Hu
(* Equal contribution) International Conference on Information and Knowledge Management, Best Paper Award, Demo Track.
[Summary] [Video] [Talk] [Paper] [Slide] [Code]

Accelerating Shapley Explanation via Contributive Cooperator Selection

Guanchu Wang*, Yu-Neng Chuang*, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai and Xia Hu
(* Equal contribution) International Conference on Machine Learning, Spotlight, ICML 2022.
[Summary] [Paper] [Code] [Slide] [Link]

Fairness via Representation Neutralization

Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, and Xia Hu
Neural Information Processing Systems, NeurIPS 2021.
[Summary] [Paper] [Code] [Poster]

Revisiting Time Series Outlier Detection: Definitions and Benchmarks

Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, and Xia Hu
Neural Information Processing Systems, NeurIPS 2021.
[Summary] [Paper] [Code] [Poster]

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, and Xia Hu
AAAI Conference on Artificial Intelligence, AAAI 2021, Demo Track.
[Summary] [Video][Paper] [Code]

Independent Skill Transfer for Deep Reinforcement Learning

Qiangxing Tian, Guanchu Wang, Jinxin Liu, and Donglin Wang
International Joint Conference on Artificial Intelligence, IJCAI 2020 (Accepted rate 12.6%).
[Summary] [Paper] [Code] [Poster]

Graph-based Conflict-free MAC Protocol and Conflict Analysis for Two-layer Ultraviolet Communication Network

Yuchen Pan, Guanchu Wang, Yubo Zhang, Jingyin Tang, Chen Gong, and Zhengyuan Xu
IEEE Journal of Optical Communications and Networking, JOCN 2023.
[Summary] [Paper] [Code] [Poster]

Multi-layer Superimposed Transmission for Optical Wireless Scattering Communication

Guanchu Wang, Chen Gong, Zhimeng Jiang, and Zhengyuan Xu
IEEE Photonics Journal, PJ 2019.
[Summary] [Paper] [Code] [Abstract]

Signal Characterization for Multiple Access Non-line of Sight Scattering Communication

Guanchu Wang, Chen Gong, and Zhengyuan Xu
IEEE Transaction on Communication, TCOM 2018.
[Summary] [Paper] [Code] [Abstract]

A 1Mbps Real-time NLOS UV Scattering Communication System with Receiver Diversity over 1km

Guanchu Wang, Kun Wang, Chen Gong, Difan Zou, Zhimeng Jiang, and Zhengyuan Xu
IEEE Photonics Journal, PJ 2018.
[Summary] [Paper] [Code] [Abstract]

Signal detection and achievable rates for multiple access optical wireless scattering communication

Guanchu Wang, Chen Gong, Zhengyuan Xu
IEEE Global Communication Conference, Globecom 2017.
[Summary] [Paper] [Code] [Poster]