Zhou, Jingren

51 publications

ICLR 2025 ACE: All-Round Creator and Editor Following Instructions via Diffusion Transformer Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chen-Wei Xie, Yu Liu, Jingren Zhou

ICLR 2025 Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-Adaptive Planning Agent Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu

NeurIPS 2025 Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models Daoyuan Chen, Yilun Huang, Xuchen Pan, Jiang Nana, Haibin Wang, Yilei Zhang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou

ICML 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-Development Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou

TMLR 2025 Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

NeurIPS 2025 Gated Attention for Large Language Models: Non-Linearity, Sparsity, and Attention-Sink-Free Zihan Qiu, Zekun Wang, Bo Zheng, Zeyu Huang, Kaiyue Wen, Songlin Yang, Rui Men, Le Yu, Fei Huang, Suozhi Huang, Dayiheng Liu, Jingren Zhou, Junyang Lin

NeurIPS 2025 PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts Yiming Wang, Pei Zhang, Jialong Tang, Hao-Ran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou

NeurIPS 2025 Provable Scaling Laws for the Test-Time Compute of Large Language Models Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

ICLR 2025 Rotated Runtime Smooth: Training-Free Activation Smoother for Accurate INT4 Inference Ke Yi, Zengke Liu, Jianwei Zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou

ICLR 2025 Self-Play with Execution Feedback: Improving Instruction-Following Capabilities of Large Language Models Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou

NeurIPS 2025 WebDancer: Towards Autonomous Information Seeking Agency Jialong Wu, Baixuan Li, Runnan Fang, Wenbiao Yin, Liwen Zhang, Zhenglin Wang, Zhengwei Tao, Ding-Chu Zhang, Zekun Xi, Xiangru Tang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

ICLR 2025 mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou

ICLR 2024 #InsTag: Instruction Tagging for Analyzing Supervised Fine-Tuning of Large Language Models Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou

CVPR 2024 DreamVideo: Composing Your Dream Videos with Customized Subject and Motion Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan

ICML 2024 EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

ICLR 2024 Lipschitz Singularities in Diffusion Models Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng

CVPR 2024 Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following Yutong Feng, Biao Gong, Di Chen, Yujun Shen, Yu Liu, Jingren Zhou

NeurIPSW 2023 #InsTag: Instruction Tagging for Analyzing Supervised Fine-Tuning of Large Language Models Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou

ICCV 2023 CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang

ICML 2023 Composer: Creative and Controllable Image Synthesis with Composable Conditions Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou

ICML 2023 Cones: Concept Neurons in Diffusion Models for Customized Generation Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

TMLR 2023 Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou

NeurIPS 2023 Customizable Image Synthesis with Multiple Subjects Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

CVPR 2023 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang

CVPR 2023 Dimensionality-Varying Diffusion Process Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng

NeurIPS 2023 FaceComposer: A Unified Model for Versatile Facial Content Creation Jiayu Wang, Kang Zhao, Yifeng Ma, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou

ICLR 2023 Learned Index with Dynamic $\epsilon$ Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

CVPR 2023 LipFormer: High-Fidelity and Generalizable Talking Face Generation with a Pre-Learned Facial Codebook Jiayu Wang, Kang Zhao, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou

CVPR 2023 Neural Dependencies Emerging from Learning Massive Categories Ruili Feng, Kecheng Zheng, Kai Zhu, Yujun Shen, Jian Zhao, Yukun Huang, Deli Zhao, Jingren Zhou, Michael Jordan, Zheng-Jun Zha

AAAI 2023 PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou

CVPR 2023 RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training Chen-Wei Xie, Siyang Sun, Xiong Xiong, Yun Zheng, Deli Zhao, Jingren Zhou

ICML 2023 RLEG: Vision-Language Representation Learning with Diffusion-Based Embedding Generation Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou

NeurIPS 2023 Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou

ICCV 2023 ViM: Vision Middleware for Unified Downstream Transferring Yutong Feng, Biao Gong, Jianwen Jiang, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou

NeurIPS 2023 VideoComposer: Compositional Video Synthesis with Motion Controllability Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou

ICML 2023 mPLUG-2: A Modularized Multi-Modal Foundation Model Across Text, Image and Video Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou

ECML-PKDD 2022 AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang

ICML 2022 OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

ICML 2022 Principled Knowledge Extrapolation with GANs Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha

ICLR 2022 Reliable Adversarial Distillation with Unreliable Teachers Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang

ICLR 2022 iFlood: A Stable and Effective Regularizer Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding

AAAI 2021 Dynamic Memory Based Attention Network for Sequential Recommendation Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu

AAAI 2021 Enhancing E-Commerce Recommender System Adaptability with Online Deep Controllable Learning-to-Rank Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao

ICML 2021 Learning to Rehearse in Long Sequence Memorization Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao

NeurIPS 2021 Low-Rank Subspaces in GANs Jiapeng Zhu, Ruili Feng, Yujun Shen, Deli Zhao, Zheng-Jun Zha, Jingren Zhou, Qifeng Chen

NeurIPS 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

ICML 2021 Uncertainty Principles of Encoding GANs Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha

IJCAI 2020 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

ICLR 2020 Learning Efficient Parameter Server Synchronization Policies for Distributed SGD Rong Zhu, Sheng Yang, Andreas Pfadler, Zhengping Qian, Jingren Zhou

NeurIPS 2020 Learning to Mutate with Hypergradient Guided Population Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu

NeurIPS 2014 Large-Scale L-BFGS Using MapReduce Weizhu Chen, Zhenghao Wang, Jingren Zhou