Publications

Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models

Jiaxin Qi, Hang Li, Yan Cui, Yuhua Zheng, Jianqiang Huang. "Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models." ICML 2026.

Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision-Language Models

Jia-yu Li*, Jiaxin Qi*, Sheng Zhou, Jianqiang Huang, Xian-Sheng Hua. "Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision-Language Models." ICML 2026.

Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMs

Wenjian Zhang, Kongcheng Zhang, Jiaxin Qi, Baisheng Lai, Jianqiang Huang. "Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMs." ICML 2026.

Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework

Kaihua Tang, Jiaxin Qi, Jinli Ou, Yuhua Zheng, Jianqiang Huang. "Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework." CVPR 2026.

Spatial Transcriptomics as Images for Large-Scale Pretraining

Yishun Zhu*, Jiaxin Qi*, et al. "Spatial Transcriptomics as Images for Large-Scale Pretraining." CVPR 2026 (Findings).

CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning

Zhijiang Tang*, Jiaxin Qi*, et al. "CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning." CVPR 2026.

Gene Incremental Learning for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Jianqiang Huang, Gaogang Xie. "Gene Incremental Learning for Single-Cell Transcriptomics." AAAI 2026.

Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Jinli Ou, Jianqiang Huang. "Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics." BIBM 2025.

A Comprehensive Benchmark for Electrocardiogram Time-Series

Zhijiang Tang*, Jiaxin Qi*, Yuhua Zheng, Jianqiang Huang. "A Comprehensive Benchmark for Electrocardiogram Time-Series." ACM MM 2025.

A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Kailei Guo, Xiaomin Zhang, Jianqiang Huang, Gaogang Xie. "A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics." AAAI 2025.

Fine-Tuning for Few-shot Image Classification by Multimodal Prototype Regularization

Qianhao Wu, Jiaxin Qi, Dong Zhang, Hanwang Zhang, Jinhui Tang. "Fine-Tuning for Few-shot Image Classification by Multimodal Prototype Regularization." IEEE TMM 2024.

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization

Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang. "Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization." ECCV 2022.

A Framework for Human-Computer Interactive Street Network Design Based on a Multi-Stage Deep Learning Approach

Zhou Fang, Jiaxin Qi, Lubin Fan, Jianqiang Huang, Ying Jin. "A Framework for Human-Computer Interactive Street Network Design Based on a Multi-Stage Deep Learning Approach." CEUS 2022.

Two Causal Principles for Improving Visual Dialog

Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang. "Two Causal Principles for Improving Visual Dialog." CVPR 2020.