A low-cost displacement monitoring system with sub-millimeter resolution based on software-defined radio platform. - Sichen Sun; Zhengbo Wang; Bolin Fan; Yu Bai; Lijun Wang (UPINLBS, 2016)

Research on Adhesive Workpiece Recognition and Positioning Based on Machine Vision. - Zhengbo Wang; Xing Ma; Chunyang Mu; Haiping An (CACRE, 2019)

Compact Modeling of IGZO-based CAA-FETs with Time-zero-instability and BTI Impact on Device and Capacitor-less DRAM Retention Reliability. - Jingrui Guo; Ying Sun; Lingfei Wang; Xinlv Duan; Kailiang Huang; Zhaogui Wang; Junxiao Feng; Qian Chen; Shijie Huang; Lihua Xu; Di Geng; Guangfan Jiao; et al. (VLSI Technology and Circuits, 2022)

Vertical Channel-All-Around (CAA) IGZO FET under 50 nm CD with High Read Current of 32.8 μA/μm (Vth + 1 V), Well-performed Thermal Stability up to 120 ℃ for Low Latency, High-density 2T0C 3D DRAM Application. - Kailiang Huang; Xinlv Duan; Junxiao Feng; Ying Sun; Congyan Lu; Chuanke Chen; Guangfan Jiao; Xinpeng Lin; Jinhai Shao; Shihui Yin; Jiazhen Sheng; Zhaogui Wang; et al. (VLSI Technology and Circuits, 2022)

Notice of Removal: Exploiting Semantic Attributes for Transductive Zero-Shot Learning. - Zhengbo Wang; Jian Liang 001; Zilei Wang; Tieniu Tan (ICASSP, 2023)

Exploiting Semantic Attributes for Transductive Zero-Shot Learning. - Zhengbo Wang; Jian Liang 001; Zilei Wang; Tieniu Tan (CoRR, 2023)

Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. - Zhengbo Wang; Jian Liang 001; Ran He 001; Nan Xu; Zilei Wang; Tieniu Tan (CoRR, 2023)

Towards Realistic Unsupervised Fine-tuning with CLIP. - Jian Liang 001; Lijun Sheng; Zhengbo Wang; Ran He 001; Tieniu Tan (CoRR, 2023)

Self-training solutions for the ICCV 2023 GeoNet Challenge. - Lijun Sheng; Zhengbo Wang; Jian Liang 001 (CoRR, 2023)

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. - Zhengbo Wang; Jian Liang 001; Lijun Sheng; Ran He 001; Zilei Wang; Tieniu Tan (ICLR, 2024)

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. - Jian Liang 001; Lijun Sheng; Zhengbo Wang; Ran He 001; Tieniu Tan (ICML, 2024)

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. - Zhengbo Wang; Jian Liang 001; Ran He 001; Zilei Wang; Tieniu Tan (ICML, 2024)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized? - Zhengbo Wang; Jian Liang (CoRR, 2024)

Towards Compatible Fine-tuning for Vision-Language Model Updates. - Zhengbo Wang; Jian Liang 001; Lijun Sheng; Ran He 001; Zilei Wang; Tieniu Tan (CoRR, 2024)

Efficient and accurate detection of herd pigs based on Ghost-YOLOv7-SIoU. - Donglai Sun; Lijuan Zhang; Jianqiang Wang; Xintong Liu; Zhengbo Wang; Zhenqiao Hui; Jichao Wang (Neural Comput. Appl., 2024)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized? - Zhengbo Wang; Jian Liang 001; Ran He 001; Zilei Wang; Tieniu Tan (ICLR, 2025)