Qi, Biqing

20 publications

ICLR 2026 Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles Qingyan Wei, Yaojie Zhang, Zhiyuan Liu, Puyu Zeng, Yuxuan Wang, Biqing Qi, Dongrui Liu, Linfeng Zhang

ICLR 2026 MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference Kaiyan Zhang, Kai Tian, Runze Liu, Sihang Zeng, Xuekai Zhu, Guoli Jia, Yuchen Fan, Xingtai Lv, Yuxin Zuo, Che Jiang, Yuru Wang, Jianyu Wang, Ermo Hua, Xinwei Long, Junqi Gao, Youbang Sun, Zhiyuan Ma, Ganqu Cui, Ning Ding, Biqing Qi, Bowen Zhou

ICLR 2026 ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data Zhaoyang Liu, JingJing Xie, Zichen Ding, Zehao Li, Bowen Yang, Zhenyu Wu, Xuehui Wang, Qiushi Sun, Shi Liu, Weiyun Wang, Shenglong Ye, Qingyun Li, Zeyue Tian, Gen Luo, Xiangyu Yue, Biqing Qi, Kai Chen, Bowen Zhou, Yu Qiao, Qifeng Chen, Wenhai Wang

ICLR 2026 ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu

NeurIPS 2025 Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi

ICLRW 2025 Can 1b LLM Surpass 405b LLM? Rethinking Compute-Optimal Test-Time Scaling Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou

NeurIPS 2025 DePass: Unified Feature Attributing by Simple Decomposed Forward Pass Xiangyu Hong, Che Jiang, Kai Tian, Biqing Qi, Youbang Sun, Ning Ding, Bowen Zhou

AAAI 2025 Fast and Slow Gradient Approximation for Binary Neural Network Optimization Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li

ICML 2025 Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Youbang Sun, Yuchen Fan, Xuekai Zhu, Biqing Qi, Ning Ding, Bowen Zhou

CVPR 2025 Less Is More: Efficient Model Merging with Binary Task Switch Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou

ICLR 2025 OpenPRM: Building Open-Domain Process-Based Reward Models with Preference Trees Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou

AAAI 2025 Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou

NeurIPS 2025 TTRL: Test-Time Reinforcement Learning Yuxin Zuo, Kaiyan Zhang, Li Sheng, Shang Qu, Ganqu Cui, Xuekai Zhu, Haozhan Li, Yuchen Zhang, Xinwei Long, Ermo Hua, Biqing Qi, Youbang Sun, Zhiyuan Ma, Lifan Yuan, Ning Ding, Bowen Zhou

NeurIPS 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning Dong Li, Aijia Zhang, Junqi Gao, Biqing Qi

NeurIPS 2024 Exploring Adversarial Robustness of Deep State Space Models Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou

CVPR 2024 Interactive Continual Learning: Fast and Slow Thinking Biqing Qi, Xinquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

NeurIPS 2024 Neural Residual Diffusion Models for Deep Scalable Vision Generation Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou

NeurIPS 2024 UltraMedical: Building Specialized Generalists in Biomedicine Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jin-Fang Hu, Zhiyuan Liu, Bowen Zhou

NeurIPSW 2023 Large Language Models Are Zero Shot Hypothesis Proposers Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou

NeurIPS 2023 Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang