Yu, Kai

70 publications

ICCV 2025 Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Xiao Li, Qi Chen, Xiulian Peng, Kai Yu, Xie Chen, Yan Lu

NeurIPS 2025 Communication-Efficient Diffusion Denoising Parallelization via Reuse-Then-Predict Mechanism Kunyun Wang, Bohan Li, Kai Yu, Minyi Guo, Jieru Zhao

ICML 2025 Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking Senyu Han, Hongchuan Zeng, Kai Yu, Lu Chen

NeurIPS 2025 MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix Ziyang Ma, Yinghao Ma, Yanqiao Zhu, Chen Yang, Yi-Wen Chao, Ruiyang Xu, Wenxi Chen, Yuanzhe Chen, Zhuo Chen, Jian Cong, Kai Li, Keliang Li, Siyou Li, Xinfeng Li, Xiquan Li, Zheng Lian, Yuzhe Liang, Minghao Liu, Zhikang Niu, Tianrui Wang, Yuping Wang, Yuxuan Wang, Yihao Wu, Guanrou Yang, Jianwei Yu, Ruibin Yuan, Zhisheng Zheng, Ziya Zhou, Haina Zhu, Wei Xue, Emmanouil Benetos, Kai Yu, EngSiong Chng, Xie Chen

NeurIPS 2025 MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation Yang Han, Pengyu Wang, Kai Yu, Xin Chen, Lu Chen

ICML 2025 Reducing Tool Hallucination via Reliability Alignment Hongshen Xu, Zichen Zhu, Lei Pan, Zihan Wang, Su Zhu, Da Ma, Ruisheng Cao, Lu Chen, Kai Yu

NeurIPS 2025 Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations Da Ma, Gonghu Shang, Zhi Chen, Libo Qin, Yijie Luo, Hongshen Xu, Lei Pan, Shuai Fan, Kai Yu, Lu Chen

AAAI 2025 VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization Tao Liu, Ziyang Ma, Qi Chen, Feilong Chen, Shuai Fan, Xie Chen, Kai Yu

NeurIPSW 2024 ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary Yutong Li, Lu Chen, Aiwei Liu, Kai Yu, Lijie Wen

NeurIPSW 2024 ChemDFM: A Large Language Foundation Model for Chemistry Zihan Zhao, Da Ma, Lu Chen, Liangtai Sun, Zihao Li, Yi Xia, Hongshen Xu, Zichen Zhu, Su Zhu, Shuai Fan, Guodong Shen, Kai Yu, Xin Chen

CVPR 2024 DiffusionGAN3D: Boosting Text-Guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors Biwen Lei, Kai Yu, Mengyang Feng, Miaomiao Cui, Xuansong Xie

ICML 2024 Evolving Subnetwork Training for Large Language Models Hanqi Li, Lu Chen, Da Ma, Zijian Wu, Su Zhu, Kai Yu

ICMLW 2024 Is Self-Knowledge and Action Consistent or Not: Investigating Large Language Model's Personality Yiming Ai, Zhiwei He, Ziyin Zhang, Wenhong Zhu, Hongkun Hao, Kai Yu, Lingjun Chen, Rui Wang

NeurIPSW 2024 SciDFM: A Large Language Model with Mixture-of-Experts for Science Liangtai Sun, Danyu Luo, Da Ma, Zihan Zhao, Baocai Chen, Zhennan Shen, Su Zhu, Lu Chen, Xin Chen, Kai Yu

AAAI 2024 SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research Liangtai Sun, Yang Han, Zihan Zhao, Da Ma, Zhennan Shen, Baocai Chen, Lu Chen, Kai Yu

NeurIPS 2024 Spider2-V: How Far Are Multimodal Agents from Automating Data Science and Engineering Workflows? Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu

AAAI 2024 UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding Chenpeng Du, Yiwei Guo, Feiyu Shen, Zhijun Liu, Zheng Liang, Xie Chen, Shuai Wang, Hui Zhang, Kai Yu

ICCV 2023 Diverse Data Augmentation with Diffusions for Effective Test-Time Prompt Tuning Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo

NeurIPS 2023 Large Language Models Are Semi-Parametric Reinforcement Learning Agents Danyang Zhang, Lu Chen, Situo Zhang, Hongshen Xu, Zihan Zhao, Kai Yu

NeurIPS 2023 PointGPT: Auto-Regressively Generative Pre-Training from Point Clouds Guangyan Chen, Meiling Wang, Yi Yang, Kai Yu, Li Yuan, Yufeng Yue

ICCV 2023 Towards Instance-Adaptive Inference for Federated Learning Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo

AAAI 2021 LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching Boer Lyu, Lu Chen, Su Zhu, Kai Yu

AAAI 2020 Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks Lu Chen, Boer Lv, Chi Wang, Su Zhu, Bowen Tan, Kai Yu

AAAI 2020 Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders Yanbin Zhao, Lu Chen, Zhi Chen, Kai Yu

CVPR 2015 Deep Multiple Instance Learning for Image Classification and Auto-Annotation Jiajun Wu, Yinan Yu, Chang Huang, Kai Yu

ICCV 2015 Text Flow: A Unified Text Detection System in Natural Scene Images Shangxuan Tian, Yifeng Pan, Chang Huang, Shijian Lu, Kai Yu, Chew Lim Tan

NeurIPS 2014 Communication Efficient Distributed Machine Learning with the Parameter Server Mu Li, David G Andersen, Alexander J Smola, Kai Yu

UAI 2013 High-Dimensional Joint Sparsity Random Effects Model for Multi-Task Learning Krishnakumar Balasubramanian, Kai Yu, Tong Zhang

ICML 2013 Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon

NeurIPS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video Will Zou, Shenghuo Zhu, Kai Yu, Andrew Y. Ng

ECCV 2012 Multi-Component Models for Object Detection Chunhui Gu, Pablo Andrés Arbeláez, Yuanqing Lin, Kai Yu, Jitendra Malik

ECCV 2012 Object-Centric Spatial Pooling for Image Classification Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei

ECCV 2012 Query Specific Fusion for Image Retrieval Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas

ICCV 2011 Contextual Weighting for Vocabulary Tree Based Image Retrieval Xiaoyu Wang, Ming Yang, Timothée Cour, Shenghuo Zhu, Kai Yu, Tony X. Han

CVPR 2011 Correspondence Driven Adaptation for Human Profile Recognition Ming Yang, Shenghuo Zhu, Fengjun Lv, Kai Yu

CVPR 2011 Large-Scale Image Classification: Fast Feature Extraction and SVM Training Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang

CVPR 2011 Learning Image Representations from the Pixel Level via Hierarchical Sparse Coding Kai Yu, Yuanqing Lin, John D. Lafferty

ICML 2010 3D Convolutional Neural Networks for Human Action Recognition Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu

NeurIPS 2010 Deep Coding Network Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu

ECCV 2010 Efficient Highly Over-Complete Sparse Coding Using a Mixture Model Jianchao Yang, Kai Yu, Thomas S. Huang

ECCV 2010 Image Classification Using Super-Vector Coding of Local Image Descriptors Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang

ICML 2010 Improved Local Coordinate Coding Using Local Tangents Kai Yu, Tong Zhang

CVPR 2010 Locality-Constrained Linear Coding for Image Classification Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas S. Huang, Yihong Gong

ECCV 2010 Predicting Facial Beauty Without Landmarks Douglas Gray, Kai Yu, Wei Xu, Yihong Gong

CVPR 2010 Supervised Translation-Invariant Sparse Coding Jianchao Yang, Kai Yu, Thomas S. Huang

ICCVW 2009 Human Action Detection by Boosting Efficient Motion Features Ming Yang, Fengjun Lv, Wei Xu, Kai Yu, Yihong Gong

ICML 2009 Large-Scale Collaborative Prediction Using a Nonparametric Random Effects Model Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong

CVPR 2009 Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huang

NeurIPS 2009 Nonlinear Learning Using Local Coordinate Coding Kai Yu, Tong Zhang, Yihong Gong

ICML 2009 Tutorial Summary: Learning with Dependencies Between Several Response Variables Volker Tresp, Kai Yu

ICML 2009 Workshop Summary: Workshop on Learning Feature Hierarchies Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio

NeurIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition Kai Yu, Wei Xu, Yihong Gong

NeurIPS 2008 Stochastic Relational Models for Large-Scale Dyadic Data Using MCMC Shenghuo Zhu, Kai Yu, Yihong Gong

ECCV 2008 Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing

NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning Kai Yu, Wei Chu

ICML 2007 Local Learning Projections Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf

NeurIPS 2007 Predictive Matrix-Variate T Models Shenghuo Zhu, Kai Yu, Yihong Gong

ICML 2007 Robust Multi-Task Learning with T-Processes Shipeng Yu, Volker Tresp, Kai Yu

ICML 2006 Active Learning via Transductive Experimental Design Kai Yu, Jinbo Bi, Volker Tresp

ICML 2006 Collaborative Ordinal Regression Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel

UAI 2006 Infinite Hidden Relational Models Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel

NeurIPS 2006 Stochastic Relational Models for Discriminative Link Prediction Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu

ECML-PKDD 2006 Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel

AISTATS 2005 Dirichlet Enhanced Latent Semantic Analysis Kai Yu, Shipeng Yu, Volker Tresp

ICML 2005 Dirichlet Enhanced Relational Learning Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel

ICML 2005 Learning Gaussian Processes from Multiple Tasks Kai Yu, Volker Tresp, Anton Schwaighofer

CVPR 2005 Multi-Output Regularized Projection Kai Yu, Shipeng Yu, Volker Tresp

NeurIPS 2005 Soft Clustering on Graphs Kai Yu, Shipeng Yu, Volker Tresp

NeurIPS 2004 Learning Gaussian Process Kernels via Hierarchical Bayes Anton Schwaighofer, Volker Tresp, Kai Yu

UAI 2003 Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang