Li, Rui

79 publications

TMLR 2025 Bayesian Neighborhood Adaptation for Graph Neural Networks Paribesh Regmi, Rui Li, K C Kishan

NeurIPS 2025 CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang

ICML 2025 CursorCore: Assist Programming Through Aligning Anything Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang

AAAI 2025 Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su

WACV 2025 Flatness Improves Backbone Generalisation in Few-Shot Classification Rui Li, Martin Trapp, Marcus Klasson, Arno Solin

ICML 2025 Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference Mahendra Singh Thapa, Rui Li

NeurIPS 2025 LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents Rui Li, Zixuan Hu, Wenxi Qu, Jinouwen Zhang, Zhenfei Yin, Sha Zhang, Xuantuo Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang, Wanli Ouyang, Lei Bai, Wangmeng Zuo, Lingyu Duan, Dongzhan Zhou, Shixiang Tang

MLJ 2025 Leveraging Differentiable NAS and Abstract Genetic Algorithms for Optimizing On-Mobile VSR Performance Xuncheng Liu, Weizhan Zhang, Tieliang Gong, Caixia Yan, Rui Li

NeurIPS 2025 MemSim: A Bayesian Simulator for Evaluating Memory of LLM-Based Personal Assistants Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen

IJCAI 2025 Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu

CVPR 2025 Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views Jiang Wu, Rui Li, Yu Zhu, Rong Guo, Jinqiu Sun, Yanning Zhang

ICLR 2025 Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

NeurIPS 2025 SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines Xeron Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shuyue Guo, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, 许明, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Cheng Chengtuo, Tianhao Cheng, Keyi Ding, Siming Huang, Huang Yun, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Z.Y. Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, 王晨清, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Owen Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, ChenghuaZhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

NeurIPS 2025 Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach Dandan Liang, Jianing Zhang, Evan Chen, Zhe Li, Rui Li, Haibo Yang

AAAI 2025 VERSE: Verification-Based Self-Play for Code Instructions Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su

ICML 2024 A Unified Adaptive Testing System Enabled by Hierarchical Structure Search Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen

NeurIPS 2024 APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Heng Huang, Shan Gao, Jianfei Liu, Rui Li

ICML 2024 Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi

ICLR 2024 Are Human-Generated Demonstrations Necessary for In-Context Learning? Rui Li, Guoyin Wang, Jiwei Li

ICML 2024 Bayesian Adaptation of Network Depth and Width for Continual Learning Jeevan Thapa, Rui Li

AAAI 2024 CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang

ECCV 2024 Decomposition Betters Tracking Everything Everywhere Rui Li, Dong Liu

NeurIPSW 2024 Differentially Private Continual Learning Using Pre-Trained Models Marlon Tobaben, Marcus Klasson, Rui Li, Arno Solin, Antti Honkela

AAAI 2024 Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

AAAI 2024 Frequency-Adaptive Pan-Sharpening with Mixture of Experts Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

ICML 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen

CVPR 2024 GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo Jiang Wu, Rui Li, Haofei Xu, Wenxun Zhao, Yu Zhu, Jinqiu Sun, Yanning Zhang

CVPR 2024 Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning Rui Li, Tobias Fischer, Mattia Segu, Marc Pollefeys, Luc Van Gool, Federico Tombari

WACV 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation Royson Lee, Rui Li, Stylianos Venieris, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

TMLR 2024 On the Interdependence Between Data Selection and Architecture Optimization in Deep Active Learning Pradeep Bajracharya, Rui Li, Linwei Wang

NeurIPS 2024 Optimal Transport-Based Labor-Free Text Prompt Modeling for Sketch Re-Identification Rui Li, Tingting Ren, Jie Wen, Jinxing Li

NeurIPSW 2024 Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

NeurIPSW 2024 Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann, Marcus Klasson, Rui Li, Arno Solin, Martin Trapp

NeurIPS 2024 Reflective Multi-Agent Collaboration Based on Large Language Models Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen

ECCV 2024 Solving the Inverse Problem of Microscopy Deconvolution with a Residual Beylkin-Coifman-Rokhlin Neural Network Rui Li, Mikhail Kudryashev, Artur Yakimovich

ECCVW 2024 TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang

CVPR 2024 Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau San Wong

CVPRW 2024 The Third Monocular Depth Estimation Challenge Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder

ICML 2024 TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon, Rui Li, Stylianos Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo

NeurIPS 2023 AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders Paribesh Regmi, Rui Li

CVPR 2023 Feature Alignment and Uniformity for Test Time Adaptation Shuai Wang, Daoan Zhang, Zipei Yan, Jianguo Zhang, Rui Li

ICCV 2023 Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng

ICML 2023 Improving Hyperparameter Learning Under Approximate Inference in Gaussian Process Models Rui Li, S. T. John, Arno Solin

AISTATS 2023 Knowledge Acquisition for Human-in-the-Loop Image Captioning Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

ICCV 2023 Learning Fine-Grained Features for Pixel-Wise Video Correspondences Rui Li, Shenglong Zhou, Dong Liu

ICLR 2023 Learning on Large-Scale Text-Attributed Graphs via Variational Inference Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

CVPR 2023 Learning to Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang

ICCV 2023 Pyramid Dual Domain Injection Network for Pan-Sharpening Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

CVPR 2023 Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence Rui Li, Dong Liu

ICCVW 2023 The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi

AISTATS 2022 Dual-Level Adaptive Information Filtering for Interactive Image Segmentation Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

ICML 2022 A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin

AAAI 2022 Co-Promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu

AAAI 2022 Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

ACML 2022 Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking Rui Li, Xiao Li

IJCAI 2022 Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation Zekang Chen, Jia Wei, Rui Li

AAAI 2021 A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake

ICCV 2021 IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction Guangming Zang, Ramzi Idoughi, Rui Li, Peter Wonka, Wolfgang Heidrich

NeurIPS 2021 Joint Inference for Neural Network Depth and Dropout Regularization K C Kishan, Rui Li, MohammadMahdi Gilany

ICCV 2021 Motion-Focused Contrastive Learning of Video Representations Rui Li, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei

IJCAI 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li

NeurIPS 2020 Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-Rich Domains Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

ECCV 2020 Reflection Separation via Multi-Bounce Polarization State Tracing Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich

AAAI 2019 Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong

NeurIPS 2019 Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes Rui Li

AAAI 2018 Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events Rui Li, Jared Curhan, Mohammed (Ehsan) Hoque

IJCAI 2017 Modeling Physicians' Utterances to Explore Diagnostic Decision-Making Xuan Guo, Rui Li, Qi Yu, Anne R. Haake

CVPRW 2016 Cluster Sensing Superpixel and Grouping Rui Li, Lu Fang

CVPRW 2016 Monocular Long-Term Target Following on UAVs Rui Li, Minjian Pang, Cong Zhao, Guyue Zhou, Lu Fang

CVPR 2013 Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes Rui Li, Pengcheng Shi, Anne R. Haake

CVPR 2013 Sensing and Recognizing Surface Textures Using a GelSight Sensor Rui Li, Edward H. Adelson

CVPR 2011 CrossTrack: Robust 3D Tracking from Two Cross-Sectional Views Mohamed E. Hussein, Fatih Porikli, Rui Li, Suayb S. Arslan

ICCV 2007 Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-Dimensional Time Series Rui Li, Tai-Peng Tian, Stan Sclaroff

ECCV 2006 Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng Tian

CVPR 2005 Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions Tai-Peng Tian, Rui Li, Stan Sclaroff

CVPRW 2005 Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions Tai-Peng Tian, Rui Li, Stan Sclaroff

CVPR 2001 Adaptive Binning and Dissimilarity Measure for Image Retrieval and Classification Wee Kheng Leow, Rui Li