Li, Haoran

39 publications

ICML 2025 A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-Form Games Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Bonan Li, Mingqiang Li

CVPR 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-Trained Models Run He, Kai Tong, Di Fang, Han Sun, Ziqian Zeng, Haoran Li, Tianyi Chen, Huiping Zhuang

ICCV 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

CoRL 2025 FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real Weiheng Liu, Yuxuan Wan, Jilong Wang, Yuxuan Kuang, Xuesong Shi, Haoran Li, Dongbin Zhao, Zhizheng Zhang, He Wang

NeurIPS 2025 HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models Haoran Li, Yingjie Qin, Baoyuan Ou, Lai Xu, Ruiwen Xu

NeurIPS 2025 Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning Haoran Li, Chenhan Xiao, Muhao Guo, Yang Weng

TMLR 2025 Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li

ICLR 2025 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao

NeurIPS 2025 Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability Wenzhao Liu, Haoran Li, Congying Han, Zicheng Zhang, Anqi Li, Tiande Guo

TMLR 2025 SELU: Self-Learning Embodied Multimodal Large Language Models in Unknown Environments Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu

AAAI 2025 Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models Haoran Li, Yulin Chen, Zihao Zheng, Qi Hu, Chunkit Chan, Heshan Liu, Yangqiu Song

TMLR 2025 Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

NeurIPS 2025 TANDEM: Bi-Level Data Mixture Optimization with Twin Networks Jiaxing Wang, Deping Xiang, Jin Xu, Mingyang Yi, Guoqiang Gong, Zicheng Zhang, Haoran Li, Pengzhang Liu, Zhen Chen, Ke Zhang, Ju Fan, Qixia Jiang

NeurIPS 2025 The Primacy of Magnitude in Low-Rank Adaptation Zicheng Zhang, Haoran Li, Yifeng Zhang, Guoqiang Gong, Jiaxing Wang, Junxing Hu, Pengzhang Liu, Qixia Jiang

ICLR 2025 Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao

NeurIPS 2025 Videos Are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations Xin Liu, Haoran Li, Dongbin Zhao

AAAI 2025 Vox-UDA: Voxel-Wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu

ECCV 2024 3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-Object Editing Haoran Li, Long Ma, Haolin Shi, Yanbin Hao, Yong Liao, Lechao Cheng, Peng Yuan Zhou

CoRL 2024 AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch Max Yang, Chenghua Lu, Alex Church, Yijiong Lin, Christopher J. Ford, Haoran Li, Efi Psomopoulou, David A.W. Barton, Nathan F. Lepora

ECCV 2024 DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wu, Yong Liao, Lin Wang, Lik-Hang Lee, Peng Yuan Zhou

NeurIPS 2024 Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao

NeurIPSW 2024 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Linjun Zhang, James Zou, Huaxiu Yao

NeurIPSW 2024 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao

NeurIPS 2024 Metric from Human: Zero-Shot Monocular Metric Depth Estimation via Test-Time Adaptation Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu

AAAI 2024 Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning Bolun Zheng, Haoran Li, Quan Chen, Tingyu Wang, Xiaofei Zhou, Zhenghui Hu, Chenggang Yan

ICML 2024 Towards Optimal Adversarial Robust Q-Learning with Bellman Infinity-Error Haoran Li, Zicheng Zhang, Wang Luo, Congying Han, Yudong Hu, Tiande Guo, Shichen Liao

CoLLAs 2023 Fixed Design Analysis of Regularization-Based Continual Learning Haoran Li, Jingfeng Wu, Vladimir Braverman

AAAI 2023 Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering Jiali You, Zhenwen Ren, Xiaojian You, Haoran Li, Yuancheng Yao

NeurIPS 2022 CoNSoLe: Convex Neural Symbolic Learning Haoran Li, Yang Weng, Hanghang Tong

ACML 2021 Lifelong Learning with Sketched Structural Regularization Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman

ICML 2021 Mixed Cross Entropy Loss for Neural Machine Translation Haoran Li, Wei Lu

AAAI 2020 Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou

ICML 2020 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

AAAI 2020 Keywords-Guided Abstractive Sentence Summarization Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He

AAAI 2020 Multimodal Summarization with Guidance of Multimodal Reference Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li

AAAI 2019 Towards Personalized Review Summarization via User-Aware Sequence Network Junjie Li, Haoran Li, Chengqing Zong

AAAI 2019 Video-Based Sentiment Analysis with hvnLBP-TOP Feature and Bi-LSTM Haoran Li, Hua Xu

IJCAI 2018 Multi-Modal Sentence Summarization with Modality Attention and Image Filtering Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong

AAAI 2016 Text Classification with Heterogeneous Information Network Kernels Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han