Fingerprint Orientation Field Estimation: Model of Primary Ridge for Global Structure and Model of Secondary Ridge for Correction. - Huanxi Liu; Xiaowei Lv; Xiong Li 004; Yuncai Liu (ACCV (3), 2009)

Multimodality gender estimation using Bayesian hierarchical model. - Xiong Li 004; Xu Zhao 001; Huanxi Liu; Yun Fu 001; Yuncai Liu (ICASSP, 2010)

Learning parts-based representation for face transition. - Xiong Li 004; Liwei Wang; Huanxi Liu; Yuncai Liu (ACM Multimedia, 2010)

Visual Saliency Detection via Sparsity Pursuit. - Junchi Yan; Mengyuan Zhu; Huanxi Liu; Yuncai Liu (IEEE Signal Process. Lett., 2010)

A Double-Layer Model for Foreground Detection from Video Sequence. - Huanxi Liu; Junchi Yan; Jun Zhu; Xiaowei Lv; Xiong Li 004; Tianhong Zhu; Yuncai Liu (ICIG, 2011)

Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator. - Minglei Tong; Junchi Yan; Huanxi Liu; Hong Han 001 (ICIG, 2011)

A Correlative Two-Step Approach to Hallucinating Faces. - Huanxi Liu; Tianhong Zhu (Int. J. Pattern Recognit. Artif. Intell., 2014)

An Adaptive Feature-fusion Method for Object Matching over Non-overlapped Scenes. - Huanxi Liu; Xiaowei Lv; Tianhong Zhu; Xiong Li 004 (J. Signal Process. Syst., 2014)

A Matrix Decomposition Perspective to Multiple Graph Matching. - Junchi Yan; Hongteng Xu; Hongyuan Zha; Xiaokang Yang 001; Huanxi Liu; Stephen M. Chu (ICCV, 2015)

Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach. - Wenlong Liao; Xiaolei Chen; Weipeng Zhang; Huanxi Liu; Junchi Yan; Yingxin Lou; Tao Xue; Shuqi Mei (ICME, 2022)

Distilldarts: Network Distillation for Smoothing Gradient Distributions in Differentiable Architecture Search. - Wenlong Liao; Zhexi Zhang; Xiaoxing Wang; Tao Yin; Huanxi Liu; Zhenyu Ren; Jian Yin 023; Shuzhi Feng (ICME, 2022)

Reinforcement Learning for Stock Prediction and High-Frequency Trading With T+1 Rules. - Weipeng Zhang; Tao Yin; Yunan Zhao; Bing Han; Huanxi Liu (IEEE Access, 2023)

Modeling Event Propagation via Graph Biased Temporal Point Process. - Weichang Wu; Huanxi Liu; Xiaohu Zhang; Yu Liu; Hongyuan Zha (IEEE Trans. Neural Networks Learn. Syst., 2023)

Nuclear-Norm Maximization for Low-Rank Updates. - Huanxi Liu; Yuanzhao Zhai; Kele Xu; Dawei Feng; Yiying Li (ICASSP, 2024)

AutoFeedback: An LLM-based Framework for Efficient and Accurate API Request Generation. - Huanxi Liu; Jiaqi Liao; Dawei Feng; Kele Xu; Huaimin Wang (CoRR, 2024)

Melody Structure Transfer Network: Generating Music with Separable Self-Attention. - Junlin Wu; Ning Zhang 040; Cheng Zhong; Boan Chen; Huanxi Liu; Junchi Yan (ICASSP, 2025)

LaTeXNet: A Specialized Model for Converting Visual Tables and Equations to LaTeX Code. - Renqiu Xia; Hongbin Zhou; Ziming Feng; Huanxi Liu; Boan Chen; Bo Zhang; Junchi Yan (ICASSP, 2025)

ALMP: Automatic Layer-By-Layer Mixed-Precision Quantization for Large Language Models. - Jie Wang; Huanxi Liu; Rui Li; Dawei Feng; Jie Ding; Bo Ding (ICIC (23), 2025)

Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training. - Yuanzhao Zhai; Huanxi Liu; Zhuo Zhang 007; Tong Lin; Kele Xu; Cheng Yang 004; Dawei Feng; Bo Ding; Huaimin Wang (SIGIR, 2025)