He, Hao

40 publications

NeurIPS 2025 Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation Shanchuan Lin, Ceyuan Yang, Hao He, Jianwen Jiang, Yuxi Ren, Xin Xia, Yang Zhao, Xuefeng Xiao, Lu Jiang

ICCV 2025 CameraCtrl II: Dynamic Scene Exploration via Camera-Controlled Video Diffusion Models Hao He, Ceyuan Yang, Shanchuan Lin, Yinghao Xu, Meng Wei, Liangke Gui, Qi Zhao, Gordon Wetzstein, Lu Jiang, Hongsheng Li

ICLR 2025 CameraCtrl: Enabling Camera Control for Video Diffusion Models Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai, Hongsheng Li, Ceyuan Yang

CVPR 2025 De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation Yunfeng Xiao, Xiaowei Bai, Baojun Chen, Hao Su, Hao He, Liang Xie, Erwei Yin

NeurIPS 2025 UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-Based Mobile GUI Agents Han Xiao, Guozhi Wang, Yuxiang Chai, Zimu Lu, Weifeng Lin, Hao He, Lue Fan, Liuyang Bian, Rui Hu, Liang Liu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Aojun Zhou, Hongsheng Li

NeurIPS 2025 Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang

AAAI 2024 Can Large Language Models Serve as Rational Players in Game Theory? a Systematic Analysis Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He

NeurIPS 2024 Collaborative Video Diffusion: Consistent Multi-Video Generation with Camera Control Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas Guibas, Gordon Wetzstein

WACV 2023 Addressing Feature Suppression in Unsupervised Visual Representations Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogerio Feris, Piotr Indyk, Dina Katabi

MLHC 2023 Contactless Oxygen Monitoring with Radio Waves and Gated Transformer Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi

ICLR 2023 Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang

ICLR 2023 FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li

ICLR 2023 Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He, Kaiwen Zha, Dina Katabi

AAAI 2023 Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin

AAAI 2023 Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin

NeurIPS 2023 ReTR: Modeling Rendering via Transformer for Generalizable Neural Surface Reconstruction Yixun Liang, Hao He, Yingcong Chen

CVPR 2023 Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks Jierun Chen, Shiu-hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan

ICML 2023 Taxonomy-Structured Domain Adaptation Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang

ICMLW 2023 Towards Effective Data Poisoning for Imbalanced Classification Snigdha Sushil Mishra, Hao He, Hao Wang

NeurIPS 2023 Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang

NeurIPSW 2022 Contactless Oxygen Monitoring with Gated Transformer Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi

ICLR 2022 Controlling Directions Orthogonal to a Classifier Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola

ECCVW 2022 CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation Haoyue Bai, Hao He, Zhuoxuan Peng, Tianyuan Dai, S.-H. Gary Chan

ICLR 2022 Graph-Relational Domain Adaptation Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang

AAAI 2022 Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit

AAAI 2022 Weakly Supervised Neural Symbolic Learning for Cognitive Tasks Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin

IJCAI 2021 Dependent Multi-Task Learning with Causal Intervention for Image Captioning Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin

ICCV 2021 Enhanced Boundary Learning for Glass-like Object Segmentation Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong, Gaofeng Meng, Véronique Prinet, LuBin Weng

CVPR 2021 PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin

AAAI 2021 Synchronous Interactive Decoding for Multilingual Neural Machine Translation Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang, Chengqing Zong

ICML 2020 Continuously Indexed Domain Adaptation Hao Wang, Hao He, Dina Katabi

AAAI 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin

ICLR 2020 Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba

AAAI 2019 Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi

ICML 2019 Circuit-GNN: Graph Neural Networks for Distributed Circuit Design Guo Zhang, Hao He, Dina Katabi

ICLR 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees Hao He, Hao Wang, Guang-He Lee, Yonglong Tian

IJCAI 2019 TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin

UAI 2019 Truly Proximal Policy Optimization Yuhui Wang, Hao He, Xiaoyang Tan

NeurIPS 2019 Trust Region-Guided Proximal Policy Optimization Yuhui Wang, Hao He, Xiaoyang Tan, Yaozhong Gan

NeurIPS 2017 From Bayesian Sparsity to Gated Recurrent Nets Hao He, Bo Xin, Satoshi Ikehata, David Wipf