Zihang Liu

34 papers A* 4C 1Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Youth Engagement in Intangible Cultural Heritage through Human-GenAI Co-Creation.
Int. J. Hum. Comput. Interact.
Yichen Chai, Zihang Liu, Shuting Li, Yue Xu, Zhibin Zhou, Henry Been-Lirn Duh
2026 J jnl
Extreme buffeting response of long-span bridges under probabilistic wind field: Environmental contours vs. brute-force Monte Carlo approaches.
Reliab. Eng. Syst. Saf.
Zihang Liu, Genshen Fang, Lin Zhao, Yaojun Ge, Nikolaos Nikitas, Enrico Zio
2026 J jnl
HTMuon: Improving Muon via Heavy-Tailed Spectral Correction.
CoRR
Tianyu Pang, Yujie Fang, Zihang Liu, Shenyang Deng, Lei Hsiung, Shuhua Yu, Yaoqing Yang
2026 J jnl
Learning to Discover Iterative Spectral Algorithms.
CoRR
Zihang Liu, Oleg Balabanov, Yaoqing Yang, Michael W. Mahoney
2026 J jnl
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization.
CoRR
Shenyang Deng, Zhuoli Ouyang, Tianyu Pang, Zihang Liu, Ruochen Jin, Shuhua Yu, Yaoqing Yang
2025 A* conf
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models.
EMNLP
Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao
2025 J jnl
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models.
CoRR
Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao
2025 J jnl
Contrastive Learning for Enhanced Retrieval on Online Medical Platforms.
Asia Pac. J. Oper. Res.
Xinming Han, Yu Ouyang, Jie Song, Zihang Liu, Cong Wang
2025 — conf
EagleCare: Augmenting ICU Monitoring with LLMs and Knowledge Graph Reasoning.
ICKG
Jiawei Guo, Yang Gao, Zihang Liu, Yihan Rao, Jiang Hu, Haishuai Wang
2025 — conf
GeneyMAP: Designing GenAI-empowered User Journey Mapping Tool.
CHI Extended Abstracts
Yihan Mei, Zihang Liu, Shengyang Xu, Zhao Wu, Zhibin Zhou
2025 A* conf
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning.
ICML
Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu
2025 J jnl
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning.
CoRR
Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu
2025 — conf
Long-form Hallucination Detection with Self-elicitation.
ACL (Findings)
Zihang Liu, Jiawei Guo, Hao Zhang, Hongyang Chen, Jiajun Bu, Haishuai Wang
2025 J jnl
Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models.
CoRR
Zhifei Xie, Ziyang Ma, Zihang Liu, Kaiyu Pang, Hongyu Li, Jialin Zhang, Yue Liao, Deheng Ye, Chunyan Miao, Shuicheng Yan
2025 J jnl
ProCo-NET: Progressive Strip Convolution and Frequency- Optimized Framework for Scale-Gradient-Aware Semantic Segmentation in Off-Road Scenes.
Symmetry
Zihang Liu, Donglin Jing, Chenxiang Ji
2025 — conf
See Through Views: View-Aware Feature Learning for Multi-view Detection and Tracking.
PRCV (16)
Zihang Liu, Zirui Li, Chun Liu, Qing Song, Mengjie Hu
2025 A* conf
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution.
IJCAI
Zihang Liu, Zhenyu Zhang, Hao Tang
2025 J jnl
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution.
CoRR
Zihang Liu, Zhenyu Zhang, Hao Tang
2024 J jnl
Identification of Activated Sludge Microbial Based on Improving YOLOv8.
IEEE Access
Lei Wang, Yikun Zhao, Yu Zhang, Zihang Liu, Jie Li
2024 A* conf
Model Balancing Helps Low-data Training and Fine-tuning.
EMNLP
Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024 J jnl
Model Balancing Helps Low-data Training and Fine-tuning.
CoRR
Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024 J jnl
Prototype-oriented contrastive learning for semi-supervised medical image segmentation.
Biomed. Signal Process. Control.
Zihang Liu, Haoran Zhang, Chunhui Zhao
2024 — conf
UMeshSegNet: Semantic Segmentation of 3D Mesh Generated from UAV Photogrammetry
ICCA
Xinyi Liu, Zihang Liu, Yongjun Zhang, Zhi Gao, Yuhui Tan
2022 J jnl
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking.
CoRR
Yunhao Du, Zihang Liu, Fei Su
2022 — conf
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection.
SemEval@NAACL
Zihang Liu, Yancheng He, Feiqing Zhuang, Bing Xu
2022 J jnl
Multi-scale graph learning for ovarian tumor segmentation from CT images.
Neurocomputing
Zihang Liu, Chunhui Zhao, Yan Lu, Yu Jiang, Jingtian Yan
2022 — conf
Research on Short-term Load Forecasting of Power System Based on Wavelet Denoising and Artificial Neural Network.
CSSE
Zihang Liu
2022 J jnl
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training.
CoRR
Zihang Liu, Chunhui Zhao
2022 J jnl
Who Will Travel With Me? Personalized Ranking Using Attributed Network Embedding for Pooling.
IEEE Trans. Intell. Transp. Syst.
Lei Tang, Zihang Liu, Rongguo Zhang, Zongtao Duan, Yunji Liang
2021 J jnl
Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data.
IEEE Trans. Intell. Transp. Syst.
Lei Tang, Zongtao Duan, Yishui Zhu, Junchi Ma, Zihang Liu
2021 — conf
The anomaly segmentation via dynamic branch fusion.
IEEE BigData
Zihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma
2020 C conf
A residual network for de novo peptide sequencing with attention mechanism.
ICARCV
Zihang Liu, Chunhui Zhao
2020 J jnl
Efficient Ridesharing Framework for Ride-matching via Heterogeneous Network Embedding.
ACM Trans. Knowl. Discov. Data
Lei Tang, Zihang Liu, Yaling Zhao, Zongtao Duan, Jingchi Jia
2016 — conf
Discovering Opinion Changes in Online Reviews via Learning Fine-Grained Sentiments.
CIC
Zihang Liu, Yu-Ru Lin, Maoquan Wang, Zhao Lu