Haixu Liu - RankMe

21 papers B 1C 1Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kaiwu-PyTorch-Plugin: Bridging Deep Learning and Photonic Quantum Computing for Energy-Based Models and Active Sample Selection. CoRR Hongdong Zhu, Qi Gao, Yin Ma, Shaobo Chen, Haixu Liu, Feng-ao Wang, Tinglan Wang, Chang Wu, Kai Wen
2026	J	`jnl`	Tighnari v2: Mitigating Label Noise and Distribution Shift in Multimodal Plant Distribution Prediction via Mixture of Experts and Weakly Supervised Learning. CoRR Haixu Liu, Yufei Wang, Tianxiang Xu, Chuancheng Shi, Hongsheng Xing
2026	J	`jnl`	Weak to Strong: VLM-Based Pseudo-Labeling as a Weakly Supervised Training Strategy in Multimodal Video-based Hidden Emotion Understanding Tasks. CoRR Yufei Wang, Haixu Liu, Tianxiang Xu, Chuancheng Shi, Hongsheng Xing
2025	J	`jnl`	An analysis of heat source contribution and design of optimal cooling method for ball screw feed system. Int. J. Comput. Integr. Manuf. Huayang Wu, Jiejing Li, Haixu Liu, Dunwen Zuo
2025	J	`jnl`	Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision. CoRR Haixu Liu, Zerui Tao, Naihui Zhang, Sixing Liu
2025	J	`jnl`	Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model. CoRR Haixu Liu, Penghao Jiang, Zerui Tao
2025	J	`jnl`	Multi-Modal Video Feature Extraction for Popularity Prediction. CoRR Haixu Liu, Wenning Wang, Haoxiang Zheng, Penghao Jiang, Qirui Wang, Ruiqing Yan, Qiuzhuang Sun
2025	—	`conf`	Tighnari v2: Mitigating Label Noise and Distribution Shift in Multimodal Plant Distribution Prediction via Mixture of Experts and Weakly Supervised Learning. CLEF (Working Notes) Haixu Liu, Yufei Wang, Tianxiang Xu, Chuancheng Shi, Hongsheng Xing
2025	J	`jnl`	Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features. CoRR Haixu Liu, Penghao Jiang, Zerui Tao, Muyan Wan, Qiuzhuang Sun
2025	—	`conf`	Weak to Strong: VLM-Based Pseudo-Labeling as a Weakly Supervised Training Strategy in Multimodal Video-based Hidden Emotion Understanding Tasks. MiGA@IJCAI Yufei Wang, Haixu Liu, Tianxiang Xu, Chuancheng Shi, Hongsheng Xing
2025	J	`jnl`	nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation. CoRR Haixu Liu, Zerui Tao, Wenzhen Dong, Qiuzhuang Sun
2024	J	`jnl`	Optimized Tool Motion Symmetry for Strip-Width-Max Mfg of Sculptured Surfaces with Non-Ball Tools Based on Envelope Approximation. Symmetry Kaihong Zhou, Haixu Liu, Shu Li
2024	—	`conf`	Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features. CLEF (Working Notes) Haixu Liu, Penghao Jiang, Zerui Tao, Muyan Wan, Qiuzhuang Sun
2023	—	`conf`	DC-Model: A New Method for Assisting the Analog Circuit Optimization. ISQED Yuan Wang, Jian Xin, Haixu Liu, Qian Qin, Chenkai Chai, Yukai Lu, Jinglei Hao, Jianhao Xiao, Zuochang Ye, Yan Wang
2023	—	`conf`	Enterprise Pollution Prevention and Control Monitoring Model Based on the Time-series Algorithm. EITCE Xiaochuan Xu, Ming Li, Haixu Liu, Gaili Zhang, Jian Kou
2022	J	`jnl`	NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering. Proc. VLDB Endow. Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu
2016	J	`jnl`	Structure-Constrained Low-Rank and Partial Sparse Representation with Sample Selection for image classification. Pattern Recognit. Yang Liu, Xueming Li, Chenyu Liu, Haixu Liu
2014	B	`conf`	Structure-constrained low-rank and partial sparse representation for image classification. ICIP Yang Liu, Haixu Liu, Chenyu Liu, Xueming Li
2013	C	`conf`	A novel method for stereo matching using Gabor Feature Image and Confidence Mask. VCIP Haixu Liu, Yang Liu, Shuxin Ouyang, Chenyu Liu, Xueming Li
2012	—	`conf`	Global-background based view synthesis approach for multi-view video. 3DTV-Conference Haixu Liu, Xueming Li, Kunbin Chen
2011	—	`conf`	ZSWSL Text Entailment Recognizing System at NTCIR-9 RITE Task. NTCIR Ranxu Su, Sheng Shang, Pan Wang, Haixu Liu, Yan Zheng