Activity Models for Tourists of Medium and Long Term Stay in Japan. - Toshinori Omura; Syotaro Hanabusa; Haojian Zhang; Ryosuke Ogura; Naotake Hirasawa (HCI (27), 2014)

Time-Optimal Trajectory Planning for Delta Robot Based on Quintic Pythagorean-Hodograph Curves. - Tingting Su; Long Cheng 001; Yunkuan Wang; Xu Liang; Jun Zheng; Haojian Zhang (IEEE Access, 2018)

Path Planning of Industrial Robot Based on Improved RRT Algorithm in Complex Environments. - Haojian Zhang; Yunkuan Wang; Jun Zheng; Junzhi Yu (IEEE Access, 2018)

A Variable-Decoupling Method used in MSR-Based Imaging Algorithms for SAR with Constant Acceleration. - Yun Zhang 023; Haojian Zhang; Tingting Zhang; Hongbo Li 002; Huilin Mu (IGARSS, 2020)

Unsupervised Domain Adaptation of Black-Box Source Models. - Haojian Zhang; Yabin Zhang 001; Kui Jia; Lei Zhang 006 (BMVC, 2021)

Modulation Symbol Cancellation for OTFS-Based Joint Radar and Communication. - Haojian Zhang; Tingting Zhang; Yuan Shen 001 (ICC Workshops, 2021)

Power Allocation for OFDM-Based RadCom Systems. - Haonan He; Haojian Zhang; Tingting Zhang (SPAWC, 2021)

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners. - Yabin Zhang 001; Haojian Zhang; Bin Deng 003; Shuai Li 014; Kui Jia; Lei Zhang 006 (CoRR, 2021)

A Low-Complexity Message Passing Detector for OTFS Modulation With Probability Clipping. - Haojian Zhang; Tingting Zhang (IEEE Wirel. Commun. Lett., 2021)

An Efficient Channel Estimation Scheme for Short Frame OTFS Using Impulse-Train Pilots. - Haojian Zhang; Jianing Li; Tingting Zhang; Xu Zhu 001 (GLOBECOM, 2022)

Incremental Prototype Prompt-tuning with Pre-trained Representation for Class Incremental Learning. - Jieren Deng; Jianhua Hu; Haojian Zhang; Yunkuan Wang (CoRR, 2022)

Prompt Tuning with Soft Context Sharing for Vision-Language Models. - Kun Ding; Ying Wang 008; Pengzhang Liu; Qiang Yu; Haojian Zhang; Shiming Xiang; Chunhong Pan (CoRR, 2022)

Stable Robotic Grasping with Center-Guided Grasp Pose Estimation. - Jieren Deng; Jianhua Hu; Haojian Zhang; Yunkuan Wang (CRC, 2023)

Kalman Filter and Moving Average Method based Human-Robot Interaction Torque Estimation for a Lower Limb Rehabilitation Robot. - Xu Liang; Yuchen Yan; Tingting Su; Zhao Guo; Shengda Liu; Haojian Zhang; Guangping He (ICARM, 2023)

An Improved MRC-Rake Symbol Detector for OTFS Modulation Using Expectation Cancellation. - Haojian Zhang; Minghui Lv; Jianing Li; Tingting Zhang (WCNC, 2023)

IAN: Instance-Augmented Net for 3D Instance Segmentation. - Zihao Wan; Jianhua Hu; Haojian Zhang; Yunkuan Wang (IEEE Robotics Autom. Lett., 2023)

Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection. - Jieren Deng; Haojian Zhang; Jianhua Hu; Xingxuan Zhang; Yunkuan Wang (IEEE Robotics Autom. Lett., 2023)

Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton. - Xingxuan Zhang; Haojian Zhang; Jianhua Hu; Jieren Deng; Yunkuan Wang (IEEE Robotics Autom. Lett., 2023)

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning. - Kun Ding; Haojian Zhang; Qiang Yu; Ying Wang 008; Shiming Xiang; Chunhong Pan (AAAI, 2024)

Memory-based Error Label Suppression for Embodied Self-Improving Object Detection. - Jieren Deng; Haojian Zhang; Jianhua Hu; Yunkuan Wang (CASE, 2024)

GN: Geometric-Net for Geometric-Level Pose and Size Estimation without CAD Templates. - Zihao Wan; Jianhua Hu; Haojian Zhang; Yunkuan Wang (CASE, 2024)

Research on Key Techniques of Dexterous Movement of Continuum Robots: A Review. - Tingting Su; Xu Liang; Wendong Xiao; Guotao Li; Shoulie Xie; Jiaxing Wang; Haojian Zhang (ICARM, 2024)

Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. - Jieren Deng; Haojian Zhang; Kun Ding; Jianhua Hu; Xingxuan Zhang; Yunkuan Wang (NeurIPS, 2024)

Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation. - Kun Ding; Qiang Yu; Haojian Zhang; Gaofeng Meng; Shiming Xiang (CoRR, 2024)

Compositional Kronecker Context Optimization for vision-language models. - Kun Ding; Xiaohui Li; Qiang Yu; Ying Wang 008; Haojian Zhang; Shiming Xiang (Neurocomputing, 2024)

Multi-task prompt tuning with soft context sharing for vision-language models. - Kun Ding; Ying Wang 008; Pengzhang Liu; Qiang Yu; Haojian Zhang; Shiming Xiang; Chunhong Pan (Neurocomputing, 2024)

Grasp-CLIP: Pick Up what You Want. - Zhao Gao; Jieren Deng; Zihao Wan; Haojian Zhang; Yunkuan Wang; Jianhua Hu (ICIT, 2025)