Bolin Ni

According to our database, Bolin Ni authored at least 25 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Practical Continual Forgetting for Pre-Trained Vision Models.

Hongbo Zhao, Fei Zhu, Bolin Ni, Feng Zhu, Gaofeng Meng, Zhaoxiang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents.

Tencent Robotics X, Xumin Yu, Zuyan Liu, Ziyi Wang, He Zhang, Yongming Rao, Fangfu Liu, Yani Zhang, Ruowen Zhao, Oran Wang, Yves Liang, Haitao Lin, Minghui Wang, Yubo Dong, Kevin Cheng, Bolin Ni, Rui Huang, Han Hu, Zhengyou Zhang, Linus, Shunyu Yao

CoRR, April, 2026

Beyond Sequential Distance: Inter-Modal Distance Invariant Position Encoding.

Lin Chen, Bolin Ni, Qi Yang, Zili Wang, Kun Ding, Ying Wang, Houwen Peng, Shiming Xiang

CoRR, March, 2026

SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization.

Jinyang Wu, Changpeng Yang, Yuhao Shen, Fangzhi Xu, Bolin Ni, Chonghua Liao, Yuchen Liu, Hongzhen Wang, Shuai Nie, Shuai Zhang, Haoran Luo, Jiaming Xu

CoRR, January, 2026

2025

VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression?

Hongbo Zhao, Meng Wang, Fei Zhu, Wenzhuo Liu, Bolin Ni, Fanhu Zeng, Gaofeng Meng, Zhaoxiang Zhang

CoRR, December, 2025

Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs.

Yi Zhang, Bolin Ni, Xin-Sheng Chen, Heng-Rui Zhang, Yongming Rao, Houwen Peng, Qinglin Lu, Han Hu, Meng-Hao Guo, Shi-Min Hu

CoRR, October, 2025

R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning.

Qi Yang, Bolin Ni, Shiming Xiang, Han Hu, Houwen Peng, Jie Jiang

CoRR, August, 2025

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation.

Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu

CoRR, May, 2025

Practical incremental learning: Striving for better performance-efficiency trade-off.

Shixiong Xu, Bolin Ni, Xing Nie, Fei Zhu, Yin Li, Jianlong Chang, Gaofeng Meng

Neurocomputing, 2025

RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation.

Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shimin Hu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

MoBoo: Memory-Boosted Vision Transformer for Class-Incremental Learning.

Bolin Ni, Xing Nie, Chenghao Zhang, Shixiong Xu, Xin Zhang, Gaofeng Meng, Shiming Xiang

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Pro-Tuning: Unified Prompt Tuning for Vision Tasks.

Xing Nie, Bolin Ni, Jianlong Chang, Gaofeng Meng, Chunlei Huo, Shiming Xiang, Qi Tian

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Active Disparity Sampling for Stereo Matching With Adjoint Network.

Chenghao Zhang, Gaofeng Meng, Kun Tian, Bolin Ni, Shiming Xiang

IEEE Trans. Image Process., 2024

Xwin-LM: Strong and Scalable Alignment Practice for LLMs.

Bolin Ni, Jingcheng Hu, Yixuan Wei, Houwen Peng, Zheng Zhang, Gaofeng Meng, Han Hu

CoRR, 2024

Continual Forgetting for Pre-trained Vision Models.

Hongbo Zhao, Bolin Ni, Haochen Wang, Junsong Fan, Fei Zhu, Yuxi Wang, Yuntao Chen, Gaofeng Meng, Zhaoxiang Zhang

CoRR, 2024

Enhancing Visual Continual Learning with Language-Guided Supervision.

Bolin Ni, Hongbo Zhao, Chenghao Zhang, Ke Hu, Gaofeng Meng, Zhaoxiang Zhang, Shiming Xiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Continual Forgetting for Pre-Trained Vision Models.

Hongbo Zhao, Bolin Ni, Junsong Fan, Yuxi Wang, Yuntao Chen, Gaofeng Meng, Zhaoxiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Defying Imbalanced Forgetting in Class Incremental Learning.

Shixiong Xu, Gaofeng Meng, Xing Nie, Bolin Ni, Bin Fan, Shiming Xiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FP8-LM: Training FP8 Large Language Models.

Houwen Peng, Kan Wu, Yixuan Wei, Guoshuai Zhao, Yuxiang Yang, Ze Liu, Yifan Xiong, Ziyue Yang, Bolin Ni, Jingcheng Hu, Ruihang Li, Miaosen Zhang, Chen Li, Jia Ning, Ruizhe Wang, Zheng Zhang, Shuguang Liu, Joe Chau, Han Hu, Peng Cheng

CoRR, 2023

2022

Pro-tuning: Unified Prompt Tuning for Vision Tasks.

Xing Nie, Bolin Ni, Jianlong Chang, Gaomeng Meng, Chunlei Huo, Zhaoxiang Zhang, Shiming Xiang, Qi Tian, Chunhong Pan

CoRR, 2022

Stereo Depth Estimation with Echoes.

Chenghao Zhang, Kun Tian, Bolin Ni, Gaofeng Meng, Bin Fan, Zhaoxiang Zhang, Chunhong Pan

Proceedings of the Computer Vision - ECCV 2022, 2022

Expanding Language-Image Pretrained Models for General Video Recognition.

Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Searching the Search Space of Vision Transformer.

Minghao Chen, Kan Wu, Bolin Ni, Houwen Peng, Bei Liu, Jianlong Fu, Hongyang Chao, Haibin Ling

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NASformer: Neural Architecture Search for Vision Transformer.

Bolin Ni, Gaofeng Meng, Shiming Xiang, Chunhong Pan

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Joint Semantic Segmentation and Edge Detection for Waterline Extraction.

Yuhang Chen, Bolin Ni, Gaofeng Meng, Baoyin Sha

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021