A multi-branch convolutional neural network for detecting double JPEG compression. - Bin Li 011; Hu Luo; Haoxin Zhang; Shunquan Tan; Zhongzhou Ji (CoRR, 2017)

Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network. - Jun Wang 036; Yuanyuan Li 003; Ke Chen 009; Wenke Lu; Qinghong Liu; Haoxin Zhang; Huashan Yan (J. Electr. Comput. Eng., 2017)

Visualize and Compress Single Logo Recognition Neural Network. - Yulong Wang; Haoxin Zhang (BIC-TA (1), 2018)

Deep Learning Single Logo Recognition with Data Enhancement by Shape Context. - Yulong Wang; Wei Yang; Haoxin Zhang (IJCNN, 2018)

Detecting double JPEG compression and its related anti-forensic operations with CNN. - Bin Li 011; Haoxin Zhang; Hu Luo; Shunquan Tan (Multim. Tools Appl., 2019)

cPSO-CNN: An efficient PSO-based algorithm for fine-tuning hyper-parameters of convolutional neural networks. - Yulong Wang; Haoxin Zhang; Guangwei Zhang (Swarm Evol. Comput., 2019)

Study of the Doubly Clamped Beam Yarn Tension Sensor Based on the Surface Acoustic Wave. - Yang Feng 007; Zixuan Lu; Wenke Lu; Changchun Zhu; Qinghong Liu; Haoxin Zhang (IEEE Trans. Ind. Electron., 2019)

An Investigation of the Influences of SWOT Sampling and Errors on Ocean Eddy Observation. - Chunyong Ma; Xiaoxiao Guo; Haoxin Zhang; Jiankai Di; Ge Chen 002 (Remote. Sens., 2020)

Real-Time CU-Net-Based Welding Quality Inspection Algorithm in Battery Production. - Haoxin Zhang; Xiaoguang Di; Yu Zhang 091 (IEEE Trans. Ind. Electron., 2020)

Single-Channel EEG Based Arousal Level Estimation Using Multitaper Spectrum Estimation at Low-Power Wearable Devices. - Berken Utku Demirel; Ivan Skelin; Haoxin Zhang; Jack J. Lin; Mohammad Abdullah Al Faruque (EMBC, 2021)

Better Learning Shot Boundary Detection via Multi-task. - Haoxin Zhang; Zhimin Li; Qinglin Lu (ACM Multimedia, 2021)

Building a Question Answering System for the Manufacturing Domain. - Xingguang Liu; Zhenbo Cheng; Zhengyuan Shen; Haoxin Zhang; Hangcheng Meng; Xuesong Xu; Gang Xiao 001 (IEEE Access, 2022)

A random forest-based metabolic risk model to assess the prognosis and metabolism-related drug targets in ovarian cancer. - Haoxin Zhang; Meng Chi; Dongqing Su; Yuqiang Xiong; Haodong Wei; Yao Yu; Yongchun Zuo; Lei Yang (Comput. Biol. Medicine, 2023)

Caseg: Clip-Based Action Segmentation With Learnable Text Prompt. - Suyuan Huang; Haoxin Zhang; Yanyu Xu; Yan Gao 017; Yao Hu 002; Zengchang Qin (ICIP, 2024)

Vript: A Video Is Worth Thousands of Words. - Dongjie Yang; Suyuan Huang; Chengqiang Lu; Xiaodong Han; Haoxin Zhang; Yan Gao 017; Yao Hu 002; Hai Zhao 001 (NeurIPS, 2024)

NoteLLM: A Retrievable Large Language Model for Note Recommendation. - Chao Zhang; Shiwei Wu; Haoxin Zhang; Tong Xu 001; Yan Gao 017; Yao Hu 002; Enhong Chen (WWW (Companion Volume), 2024)

Finite-element analysis case retrieval based on an ontology semantic tree. - Xuesong Xu; Zhenbo Cheng; Gang Xiao 001; Yuanming Zhang; Haoxin Zhang; Hangcheng Meng (Artif. Intell. Eng. Des. Anal. Manuf., 2024)

NoteLLM: A Retrievable Large Language Model for Note Recommendation. - Chao Zhang; Shiwei Wu; Haoxin Zhang; Tong Xu 001; Yan Gao 017; Yao Hu 002; Di Wu 055; Enhong Chen (CoRR, 2024)

From Image to Video, what do we need in multimodal LLMs? - Suyuan Huang; Haoxin Zhang; Yan Gao 017; Yao Hu 002; Zengchang Qin (CoRR, 2024)

NoteLLM-2: Multimodal Large Representation Models for Recommendation. - Chao Zhang; Haoxin Zhang; Shiwei Wu; Di Wu 055; Tong Xu 001; Yan Gao 017; Yao Hu 002; Enhong Chen (CoRR, 2024)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval. - Suyuan Huang; Chao Zhang; Yuanyuan Wu; Haoxin Zhang; Yuan Wang; Maolin Wang 001; Shaosheng Cao; Tong Xu 001; Xiangyu Zhao 001; Zengchang Qin; Yan Gao 017; Yunhan Bai; et al. (CoRR, 2024)

Evaluation of Fengyun-4B Satellite Temperature Profile Products Using Radiosonde Observations and ERA5 Reanalysis over Eastern Tibetan Plateau. - Yuhao Wang; Xiaofei Wu; Haoxin Zhang; Hong-Li Ren; Kaiqing Yang (Remote. Sens., 2024)

NoteLLM-2: Multimodal Large Representation Models for Recommendation. - Chao Zhang; Haoxin Zhang; Shiwei Wu; Di Wu 055; Tong Xu 001; Xiangyu Zhao 001; Yan Gao 017; Yao Hu 002; Enhong Chen (KDD (1), 2025)

A Real-Time, Robust, and Versatile Visual-SLAM Framework Based on Deep Learning Networks. - Xiao Zhang; Hongbin Dong; Haoxin Zhang; Xiaozhou Zhu; Shuaixin Li; Baosong Deng (IEEE Trans. Instrum. Meas., 2025)

Model Poisoning Attack Against Neural Network Interpreters in IoT Devices. - Xianglong Zhang; Feng Li 002; Huanle Zhang; Haoxin Zhang; Zhijian Huang; Lisheng Fan; Xiuzhen Cheng 001; Pengfei Hu 001 (IEEE Trans. Mob. Comput., 2025)

Decomposed Reasoning with Reinforcement Learning for Relevance Assessment in UGC Platforms. - Xiaowei Yuan; Lei Jin; Haoxin Zhang; Yan Gao 017; Yi Wu; Yao Hu 002; Ziyang Huang; Jun Zhao; Kang Liu (CoRR, 2025)