To Be or not to Be, Tail Labels in Extreme Multi-label Learning. - Zhiqi Ge; Ximing Li (CIKM, 2021)

Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. - Zhiqi Ge; Yuanyuan Guan; Ximing Li 002; Bo Fu 001 (CIKM, 2022)

Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions. - Juncheng Li 006; Kaihang Pan; Zhiqi Ge; Minghe Gao; Hanwang Zhang; Wei Ji 008; Wenqiao Zhang; Tat-Seng Chua; Siliang Tang; Yueting Zhuang (CoRR, 2023)

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. - Juncheng Li 006; Kaihang Pan; Zhiqi Ge; Minghe Gao; Wei Ji 008; Wenqiao Zhang; Tat-Seng Chua; Siliang Tang; Hanwang Zhang; Yueting Zhuang (ICLR, 2024)

DEMON24: ACM MM24 Demonstrative Instruction Following Challenge. - Zhiqi Ge; Juncheng Li 006; Qifan Yu; Wei Zhou; Siliang Tang; Yueting Zhuang (ACM Multimedia, 2024)

WorldGPT: Empowering LLM as Multimodal World Model. - Zhiqi Ge; Hongzhe Huang; Mingze Zhou; Juncheng Li 006; Guoming Wang; Siliang Tang; Yueting Zhuang (ACM Multimedia, 2024)

Unified Generative and Discriminative Training for Multi-modal Large Language Models. - Wei Chow; Juncheng Li 006; Qifan Yu; Kaihang Pan; Hao Fei 001; Zhiqi Ge; Shuai Yang; Siliang Tang; Hanwang Zhang; Qianru Sun (NeurIPS, 2024)

WorldGPT: Empowering LLM as Multimodal World Model. - Zhiqi Ge; Hongzhe Huang; Mingze Zhou; Juncheng Li 014; Guoming Wang; Siliang Tang; Yueting Zhuang (CoRR, 2024)

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining. - Zhiqi Ge; Juncheng Li 006; Xinglei Pang; Minghe Gao; Kaihang Pan; Wang Lin; Hao Fei 001; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (CoRR, 2024)

On Path to Multimodal Generalist: General-Level and General-Bench. - Hao Fei 001; Yuan Zhou 016; Juncheng Li 006; Xiangtai Li; Qingshan Xu 001; Bobo Li; Shengqiong Wu; Yaoting Wang; Junbao Zhou; Jiahao Meng; Qingyu Shi; Zhiyuan Zhou; et al. (CoRR, 2025)