Two-B-real Net: Two-branch Network for Real-time Salient Object Detection. - Bo Li 061; Zhengxing Sun; Lv Tang; Anqi Hu (ICASSP, 2019)

Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network. - Bo Li 061; Zhengxing Sun; Lv Tang; Yunhan Sun; Jinlong Shi (IJCAI, 2019)

CLASS: Cross-Level Attention and Supervision for Salient Objects Detection. - Lv Tang; Bo Li 061 (ACCV (3), 2020)

Highly Efficient Natural Image Matting. - Yijie Zhong 001; Bo Li 115; Lv Tang; Hao Tang 005; Shouhong Ding (BMVC, 2021)

Fast: Feature Aggregation for Detecting Salient Object in Real-Time. - Lv Tang; Bo Li 115; Yanliang Wu; Bo Xiao; Shouhong Ding (ICASSP, 2021)

Disentangled High Quality Salient Object Detection. - Lv Tang; Bo Li 115; Yijie Zhong 001; Shouhong Ding; Mofei Song (ICCV, 2021)

CoSformer: Detecting Co-Salient Object with Transformers. - Lv Tang (CoRR, 2021)

Disentangled High Quality Salient Object Detection. - Lv Tang; Bo Li 115; Shouhong Ding; Mofei Song (CoRR, 2021)

Detecting Camouflaged Object in Frequency Domain. - Yijie Zhong 001; Bo Li 115; Lv Tang; Senyun Kuang; Shuang Wu 001; Shouhong Ding (CVPR, 2022)

Rethinking Two-B-Real Net for Real-Time Salient Object Detection. - Senyun Kuang; Shijin Meng; Bo Xiao; Lv Tang; Bo Li 115 (ICASSP, 2022)

Foldingnet-Based Geometry Compression of Point Cloud with Multi Descriptions. - Xiaoqi Ma; Qian Yin 002; Xinfeng Zhang 001; Lv Tang (ICME Workshops, 2022)

Towards Stable Co-saliency Detection and Object Co-segmentation. - Bo Li 115; Lv Tang; Senyun Kuang; Mofei Song; Shouhong Ding (CoRR, 2022)

Multitarget domain adaptation with transferable hyperbolic prototypes for intelligent fault diagnosis. - Lv Tang; Qing Zhang; Jianping Xuan; Tielin Shi; Rui Li (Knowl. Based Syst., 2022)

Re-Thinking the Relations in Co-Saliency Detection. - Lv Tang; Bo Li 115; Senyun Kuang; Mofei Song; Shouhong Ding (IEEE Trans. Circuits Syst. Video Technol., 2022)

Toward Stable Co-Saliency Detection and Object Co-Segmentation. - Bo Li 115; Lv Tang; Senyun Kuang; Mofei Song; Shouhong Ding (IEEE Trans. Image Process., 2022)

Scene Matters: Model-based Deep Video Compression. - Lv Tang; Xinfeng Zhang 001; Gai Zhang; Xiaoqi Ma (ICCV, 2023)

HM-PCGC: A Human-Machine Balanced Point Cloud Geometry Compression Scheme. - Xiaoqi Ma; Yingzhan Xu; Xinfeng Zhang 001; Lv Tang; Kai Zhang 007; Li Zhang 006 (ICIP, 2023)

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection. - Lv Tang; Haoke Xiao; Bo Li 115 (CoRR, 2023)

Towards Training-free Open-world Segmentation via Image Prompting Foundation Models. - Lv Tang; Peng-Tao Jiang; Haoke Xiao; Bo Li 115 (CoRR, 2023)

Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens. - Lv Tang; Peng-Tao Jiang; Zhihao Shen; Hao Zhang 063; Jinwei Chen; Bo Li 115 (CoRR, 2023)

An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion. - Qing Zhang; Lv Tang; Jianping Xuan; Tielin Shi; Rui Li (Reliab. Eng. Syst. Saf., 2023)

Enhanced Quantified Local Implicit Neural Representation for Image Compression. - Gai Zhang; Xinfeng Zhang 001; Lv Tang (IEEE Signal Process. Lett., 2023)

Transfer reinforcement learning method with multi-label learning for compound fault recognition. - Zisheng Wang; Qing Zhang; Lv Tang; Tielin Shi; Jianping Xuan (Adv. Eng. Informatics, 2023)

ASAM: Boosting Segment Anything Model with Adversarial Tuning. - Bo Li 115; Haoke Xiao; Lv Tang (CVPR, 2024)

Zero-Shot Co-Salient Object Detection Framework. - Haoke Xiao; Lv Tang; Bo Li 115; Zhiming Luo; Shaozi Li (ICASSP, 2024)

VQNeRV: Vector Quantization Neural Representation for Video Compression. - Gai Zhang; Lv Tang; Xinfeng Zhang 001 (ISCAS, 2024)

Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection. - Lv Tang; Peng-Tao Jiang; Zhihao Shen; Hao Zhang 063; Jin-Wei Chen; Bo Li 115 (ACM Multimedia, 2024)

Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure. - Shaochen Li; Jianping Xuan; Qing Zhang; Zisheng Wang; Lv Tang; Tielin Shi (Adv. Eng. Informatics, 2024)

Scalable Visual State Space Model with Fractal Scanning. - Lv Tang; Haoke Xiao; Peng-Tao Jiang; Hao Zhang 063; Jinwei Chen; Bo Li 115 (CoRR, 2024)

Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2. - Lv Tang; Bo Li (CoRR, 2024)

Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression. - Gai Zhang; Xinfeng Zhang; Lv Tang; Yue Li; Kai Zhang; Li Zhang (CoRR, 2024)

Noisy Open Set Adversarial Domain Adaption for Bearing Fault Diagnosis Based on Optimized Divergence. - Shaochen Li; Jianping Xuan; Zisheng Wang; Qing Zhang; Lv Tang (IEEE Trans. Instrum. Meas., 2024)

From Composited to Real-World: Transformer-Based Natural Image Matting. - Yanfeng Wang; Lv Tang; Yijie Zhong 001; Bo Li 115 (IEEE Trans. Circuits Syst. Video Technol., 2024)

High Efficiency Deep-learning Based Video Compression. - Lv Tang; Xinfeng Zhang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Unified and Scalable Deep Image Compression Framework for Human and Machine. - Gai Zhang; Xinfeng Zhang 001; Lv Tang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Boosting Vision State Space Model with Fractal Scanning. - Haoke Xiao; Lv Tang; Peng-Tao Jiang; Hao Zhang; Jinwei Chen; Bo Li 130 (AAAI, 2025)

GCVIF: Pioneering Explainable Domain-Shared Representation Learning for Fault Signal Detection in Multiple Working States Simultaneously. - Qing Zhang; Lv Tang; Tan Chin-Hon; Tielin Shi; Jianping Xuan; Yu-Chao Cheng (IEEE Internet Things J., 2025)

Towards Training-Free Open-World Segmentation via Image Prompt Foundation Models. - Lv Tang; Peng-Tao Jiang; Haoke Xiao; Bo Li 115 (Int. J. Comput. Vis., 2025)

Blending-Target Domain Adaptation for Intelligent Fault Recognition With Minimum Cycle Spiking Encoding and Adversarial Attack. - Lv Tang; Qing Zhang; Shaochen Li; Jianping Xuan; Tielin Shi (IEEE Trans. Ind. Informatics, 2025)

CANeRV: Content Adaptive Neural Representation for Video Compression. - Lv Tang; Jun Zhu; Xinfeng Zhang 001; Li Zhang 006; Siwei Ma; Qingming Huang (CoRR, 2025)

UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression. - Jia Wang; Xinfeng Zhang; Gai Zhang; Jun Zhu; Lv Tang; Li Zhang (CoRR, 2025)

UVC: A Unified Deep Video Compression Framework. - Lv Tang; Xinfeng Zhang 001; Li Zhang 006 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Scaling Vision Mamba Across Resolutions via Fractal Traversal. - Bo Li; Haoke Xiao; Lv Tang (CoRR, 2025)

MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion. - Jun Zhu; Xinfeng Zhang; Lv Tang; JunHao Jiang (CoRR, 2025)