Tian, Hao

21 publications

NeurIPS 2025 GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing Rongyao Fang, Chengqi Duan, Kun Wang, Linjiang Huang, Hao Li, Hao Tian, Shilin Yan, Weihao Yu, Xingyu Zeng, Jifeng Dai, Xihui Liu, Hongsheng Li

ICLR 2025 MMIU: Multimodal Multi-Image Understanding for Evaluating Large Vision-Language Models Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

ICLR 2025 OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai

ICCV 2025 PUMA: Empowering Unified MLLM with Multi-Granular Visual Generation Rongyao Fang, Chengqi Duan, Kun Wang, Hao Li, Linjiang Huang, Hao Tian, Xingyu Zeng, Rui Zhao, Jifeng Dai, Hongsheng Li, Xihui Liu

CVPR 2025 PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models Chenyu Yang, Xuan Dong, Xizhou Zhu, Weijie Su, Jiahao Wang, Hao Tian, Zhe Chen, Wenhai Wang, Lewei Lu, Jifeng Dai

AAAI 2024 COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems Hao Tian, Sourav Medya, Wei Ye

IJCAI 2024 Deep Hierarchical Graph Alignment Kernels Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye

ECML-PKDD 2024 Enhancing Shortest-Path Graph Kernels via Graph Augmentation Wei Ye, Hao Tian, Shuhao Tang, Xin Sun

ICLR 2024 Tool-Augmented Reward Modeling Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu

WACV 2023 Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation Zhihong Pan, Xin Zhou, Hao Tian

CVPR 2023 BEVFormer V2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai

CVPRW 2023 DETR-Based Layered Clothing Segmentation and Fine-Grained Attribute Recognition Hao Tian, Yu Cao, P. Y. Mok

CVPR 2023 ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang

TMLR 2022 Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang

ICMLW 2022 LAST: Latent Space Assisted Adaptive Sampling for Protein Trajectories Hao Tian, Xi Jiang, Sian Xiao, Hunter La Force, Eric Larson, Peng Tao

ECML-PKDD 2021 Action Set Based Policy Optimization for Safe Power Grid Management Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian

AAAI 2021 ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graphs Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CVPR 2021 Unsupervised Object Detection with LIDAR Clues Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu

AAAI 2020 ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Hao Tian, Hua Wu, Haifeng Wang

IJCAI 2020 ERNIE-GEN: An Enhanced Multi-Flow Pre-Training and Fine-Tuning Framework for Natural Language Generation Dongling Xiao, Han Zhang, Yu-Kun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CoRL 2018 Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan