Li, Jin

27 publications

NeurIPS 2025 DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion Jin Li, Zezhong Ding, Xike Xie
NeurIPS 2025 Revealing Multimodal Causality with Large Language Models Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen
NeurIPS 2024 AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li, Ziqiang He, Anwei Luo, Jian-Fang Hu, Z. Jane Wang, Xiangui Kang
ICLR 2024 BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation Yaoming Wang, Jin Li, Xiaopeng Zhang, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian
ICML 2024 Bootstrap AutoEncoders with Contrastive Paradigm for Self-Supervised Gaze Estimation Yaoming Wang, Jin Li, Wenrui Dai, Bowen Shi, Xiaopeng Zhang, Chenglin Li, Hongkai Xiong
AAAI 2024 Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu
ICLR 2024 Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian
NeurIPS 2024 Scene Graph Generation with Role-Playing Large Language Models Guikun Chen, Jin Li, Wenguan Wang
ICLR 2024 Training Graph Transformers via Curriculum-Enhanced Attention Distillation Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu
ECCV 2024 UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang
CVPR 2023 Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian
NeurIPS 2023 AiluRus: A Scalable ViT Framework for Dense Prediction Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian
ECML-PKDD 2023 Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization Jin Li, Bingshi Li, Qirong Zhang, Xinlong Chen, Xinyang Huang, Longkun Guo, Yang-Geng Fu
ICLR 2023 Progressively Compressed Auto-Encoder for Self-Supervised Representation Learning Jin Li, Yaoming Wang, Xiaopeng Zhang, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian
AISTATS 2022 Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
CVPR 2022 Contrastive Regression for Domain Adaptation on Gaze Estimation Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li
CVPR 2022 Learning Canonical F-Correlation Projection for Compact Multiview Representation Yun-Hao Yuan, Jin Li, Yun Li, Jipeng Qiang, Yi Zhu, Xiaobo Shen, Jianping Gou
IJCAI 2022 Learning from Students: Online Contrastive Distillation Network for General Continual Learning Jin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao
CVPR 2022 Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, Juyong Zhang
IJCAI 2021 Hiding Numerical Vectors in Local Private and Shuffled Messages Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang
CVPRW 2020 A Simple Discriminative Dual Semantic Auto-Encoder for Zero-Shot Classification Yang Liu, Jin Li, Xinbo Gao
AAAI 2020 Graph Attention Based Proposal 3D ConvNets for Action Detection Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song
IJCAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted B-Matching Problems in Online Advertising Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
AAAI 2019 Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li
AAAI 2018 Robust Formulation for PCA: Avoiding Mean Calculation with L2, P-Norm Maximization Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao
IJCAI 2018 Zero Shot Learning via Low-Rank Embedded Semantic AutoEncoder Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao
AAAI 2015 Prajna: Towards Recognizing Whatever You Want from Images Without Image Labeling Xian-Sheng Hua, Jin Li