Li, Lin

47 publications

IJCAI 2025 A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions Zihan Yang, Xiaohui Tao, Taotao Cai, Yifu Tang, Haoran Xie, Lin Li, Jianxin Li, Qing Li

CVPR 2025 Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge Yaqi Zhao, Yuanyang Yin, Lin Li, Mingan Lin, Victor Shea-Jay Huang, Siwei Chen, Weipeng Chen, Baoqun Yin, Zenan Zhou, Wentao Zhang

CVPR 2025 CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation Wei Chen, Lin Li, Yongqi Yang, Bin Wen, Fan Yang, Tingting Gao, Yu Wu, Long Chen

AAAI 2025 Dynamic Uncertainty Estimation for Offline Reinforcement Learning Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang

NeurIPS 2025 Factor Decorrelation Enhanced Data Removal from Deep Predictive Models Wenhao Yang, Lin Li, Xiaohui Tao, Kaize Shi

AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

IJCAI 2025 Indirect Alignment and Relationship Preservation for Domain Generalization Wei Wei, Zixiong Li, Jing Yan, Mingwen Shao, Lin Li

NeurIPS 2025 Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation Lin Li, Chuhan Zhang, Dong Zhang, Chong Sun, Chen Li, Long Chen

IJCAI 2025 L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-Agent Reinforcement Learning Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan

NeurIPS 2025 Risk-Aware Direct Preference Optimization Under Nested Risk Measure Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei

IJCAI 2025 Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning Peiliang Zhang, Jingling Yuan, Chao Che, Yongjun Zhu, Lin Li

AAAI 2025 Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles Xin Zhang, Peiliang Zhang, Jingling Yuan, Lin Li

ICML 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

AAAI 2024 MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis Wenhao Guan, Yishuang Li, Tao Li, Hukai Huang, Feng Wang, Jiayan Lin, Lingyan Huang, Lin Li, Qingyang Hong

NeurIPS 2024 MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang

ICML 2024 OODRobustBench: A Benchmark and Large-Scale Analysis of Adversarial Robustness Under Distribution Shift Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling

CVPR 2024 One Prompt Word Is Enough to Boost Adversarial Robustness for Pre-Trained Vision-Language Models Lin Li, Haoyan Guan, Jianing Qiu, Michael Spratling

MLJ 2024 Re-Attentive Experience Replay in Off-Policy Reinforcement Learning Wei Wei, Da Wang, Lin Li, Jiye Liang

NeurIPS 2024 Scalable Constrained Policy Optimization for Safe Multi-Agent Reinforcement Learning Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang

CVPR 2024 ZONE: Zero-Shot Instruction-Guided Local Editing Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xiuhui Liu, Jiaming Liu, Lin Li, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

ICCV 2023 Compositional Feature Augmentation for Unbiased Scene Graph Generation Lin Li, Guikun Chen, Jun Xiao, Yi Yang, Chunping Wang, Long Chen

ICLR 2023 Data Augmentation Alone Can Improve Adversarial Training Lin Li, Michael W. Spratling

NeurIPSW 2023 Higher Order Equivariant Graph Neural Networks for Charge Density Prediction Teddy Koker, Keegan Quigley, Lin Li

AAAI 2023 Long Legal Article Question Answering via Cascaded Key Segment Learning (Student Abstract) Shugui Xie, Lin Li, Jingling Yuan, Qing Xie, Xiaohui Tao

AAAI 2023 MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, Song Guo

ICML 2023 Set-Membership Belief State-Based Reinforcement Learning for POMDPs Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang

NeurIPS 2023 Zero-Shot Visual Relation Detection via Composite Visual Cues from Large Language Models Lin Li, Jun Xiao, Guikun Chen, Jian Shao, Yueting Zhuang, Long Chen

AAAI 2022 Controlling Underestimation Bias in Reinforcement Learning via Quasi-Median Operation Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li

WACV 2022 DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu

NeurIPSW 2022 Graph Contrastive Learning for Materials Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li

CVPR 2022 The Devil Is in the Labels: Noisy Label Correction for Robust Scene Graph Generation Lin Li, Long Chen, Yifeng Huang, Zhimeng Zhang, Songyang Zhang, Jun Xiao

CVPRW 2022 Thermal Image Super-Resolution Challenge Results - PBVS 2022 Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang

IJCAI 2022 Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction Lin Li, Xiaohua Wu, Miao Kong, Dong Zhou, Xiaohui Tao

NeurIPS 2021 Adder Attention for Vision Transformer Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang

NeurIPSW 2021 Scalable Geometric Deep Learning on Molecular Graphs Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally

CVPRW 2020 Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene Lin Li, Salman H. Khan, Nick Barnes

AAAI 2020 Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract) Lin Li

ICCVW 2019 Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene Lin Li, Salman H. Khan, Nick Barnes

AAAI 2018 Enhancing RNN Based OCR by Transductive Transfer Learning from Text to Images Yang He, Jingling Yuan, Lin Li

AAAI 2014 Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach Nian Liu, Lin Li, Guandong Xu, Zhenglu Yang

WACV 2014 Unsupervised Iterative Manifold Alignment via Local Feature Histograms Ke Fan, Ajmal S. Mian, Wanquan Liu, Lin Li

AAAI 2012 Recommending Related Microblogs: A Comparison Between Topic and WordNet Based Approaches Xing Chen, Lin Li, Guandong Xu, Zhenglu Yang, Masaru Kitsuregawa

AAAI 2008 Efficient Querying Relaxed Dominant Relationship Between Product Items Based on Rank Aggregation Zhenglu Yang, Lin Li, Masaru Kitsuregawa

AAAI 2008 Query-URL Bipartite Based Approach to Personalized Query Recommendation Lin Li, Zhenglu Yang, Ling Liu, Masaru Kitsuregawa

AAAI 2007 Aggregating User-Centered Rankings to Improve Web Search Lin Li, Zhenglu Yang, Masaru Kitsuregawa

AAAI 2007 Towards Efficient Dominant Relationship Exploration of the Product Items on the Web Zhenglu Yang, Lin Li, Botao Wang, Masaru Kitsuregawa

COLT 2001 Efficiently Approximating Weighted Sums with Exponentially Many Terms Deepak Chawla, Lin Li, Stephen Scott