Liu, Yong

236 publications

ICLR 2025 ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-Tuning Pengwei Tang, Xiaolin Hu, Yong Liu
CVPR 2025 Action Detail Matters: Refining Video Recognition with Local Action Queries Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu
WACV 2025 Ad^2mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation Lei Zhu, Yanyu Xu, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
AAAI 2025 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong
NeurIPS 2025 AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding Zhucun Xue, Jiangning Zhang, Xurong Xie, Yuxuan Cai, Yong Liu, Xiangtai Li, Dacheng Tao
NeurIPS 2025 Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering Kuicai Dong, Yujing Chang, Shijie Huang, Yasheng Wang, Ruiming Tang, Yong Liu
NeurIPS 2025 Can LLMs Outshine Conventional Recommenders? a Comparative Evaluation Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu
ICCV 2025 CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation Zhuoyan Luo, Yinghao Wu, Tianheng Cheng, Yong Liu, Yicheng Xiao, Hongfa Wang, Xiao-Ping Zhang, Yujiu Yang
AAAI 2025 Decentralized Federated Learning with Model Caching on Mobile Agents Xiaoyu Wang, Guojun Xiong, Houwei Cao, Jian Li, Yong Liu
NeurIPS 2025 Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens Are Information Peaks in LLM Reasoning Chen Qian, Dongrui Liu, Haochen Wen, Zhen Bai, Yong Liu, Jing Shao
AAAI 2025 Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation Jiaqi Huang, Zunnan Xu, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li
NeurIPS 2025 DreamLight: Towards Harmonious and Consistent Image Relighting Yong Liu, Wenpeng Xiao, Qianqian Wang, Junlin Chen, Shiyin Wang, Yitong Wang, Xinglong Wu, Yansong Tang
ICCV 2025 DriveArena: A Closed-Loop Generative Simulation Platform for Autonomous Driving Xuemeng Yang, Licheng Wen, Tiantian Wei, Yukai Ma, Jianbiao Mei, Xin Li, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Liang He, Yong Liu, Botian Shi, Yu Qiao
AAAI 2025 Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu
ICML 2025 DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang
ICLR 2025 Federated Residual Low-Rank Adaptation of Large Language Models Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu
ICCV 2025 Flash-VStream: Efficient Real-Time Understanding for Long Video Streams Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Xiaojie Jin
IJCAI 2025 FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi
CVPR 2025 GroundingFace: Fine-Grained Face Understanding via Pixel Grounding Multimodal Large Language Model Yue Han, Jiangning Zhang, Junwei Zhu, Runze Hou, Xiaozhong Ji, Chuming Lin, Xiaobin Hu, Zhucun Xue, Yong Liu
CVPR 2025 HyperSeg: Hybrid Segmentation Assistant with Fine-Grained Visual Perceiver Cong Wei, Yujie Zhong, Haoxian Tan, Yong Liu, Jie Hu, Dengjie Li, Zheng Zhao, Yujiu Yang
ICCV 2025 InstructSeg: Unifying Instructed Visual Segmentation with Multi-Modal Large Language Models Cong Wei, Yujie Zhong, Haoxian Tan, Yingsen Zeng, Yong Liu, Hongfa Wang, Yujiu Yang
AAAI 2025 IteRPrimE: Zero-Shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis Yuji Wang, Jingchen Ni, Yong Liu, Chun Yuan, Yansong Tang
TMLR 2025 LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects Guangyi Liu, Pengxiang Zhao, Yaozhen Liang, Liang Liu, Yaxuan Guo, Han Xiao, Weifeng Lin, Yuxiang Chai, Yue Han, Shuai Ren, Hao Wang, Xiaoyu Liang, WenHao Wang, Tianze Wu, Zhengxi Lu, Siheng Chen, LiLinghao, Hao Wang, Guanjing Xiong, Yong Liu, Hongsheng Li
ICCV 2025 LLaVA-KD: A Framework of Distilling Multimodal Large Language Models Yuxuan Cai, Jiangning Zhang, Haoyang He, Xinwei He, Ao Tong, Zhenye Gan, Chengjie Wang, Zhucun Xue, Yong Liu, Xiang Bai
ICCV 2025 LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo
AAAI 2025 Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
ICML 2025 MERIT: Maximum-Normalized Element-Wise Ratio for Language Model Large-Batch Training Yang Luo, Zangwei Zheng, Ziheng Qin, Zirui Zhu, Yong Liu, Yang You
ICLR 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
NeurIPS 2025 OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain Wenzhen Yue, Yong Liu, Hao Wang, Haoxuan Li, Xianghua Ying, Ruohao Guo, Bowei Xing, Ji Shi
ICLR 2025 On the Importance of Language-Driven Representation Learning for Heterogeneous Federated Learning Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman Khan, Yong Liu, Lei Zhu
NeurIPS 2025 P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
ICCV 2025 PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Lean Fu, Fei Wang
ICLR 2025 REEF: Representation Encoding Fingerprints for Large Language Models Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao
ICML 2025 Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning Zeyu Gan, Yun Liao, Yong Liu
CVPR 2025 SAM2-LOVE: Segment Anything Model 2 in Language-Aided Audio-Visual Scenes Yuji Wang, Haoran Xu, Yong Liu, Jiaze Li, Yansong Tang
NeurIPS 2025 SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs LiuRuyue, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang
ICML 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You
NeurIPS 2025 Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You
AAAI 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu
NeurIPS 2025 Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$ Bowei Zhu, Shaojie Li, Mingyang Yi, Yong Liu
ICCV 2025 Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation Yong Liu, Song-Li Wu, Sule Bai, Jiahao Wang, Yitong Wang, Yansong Tang
ICML 2025 Sundial: A Family of Highly Capable Time Series Foundation Models Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
ICLR 2025 Super(ficial)-Alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen
CVPR 2025 TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation Yabiao Wang, Shuo Wang, Jiangning Zhang, Ke Fan, Jiafu Wu, Zhucun Xue, Yong Liu
IJCAI 2025 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu
ICLR 2025 Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
ICLR 2025 ToolACE: Winning the Points of LLM Function Calling Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Wang Xinzhi, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen
ICLR 2025 Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu
ICLRW 2025 Towards Comprehensive Preference Data Collection for Reward Modeling Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Jinman Zhao, Yong Liu
IJCAI 2025 Towards Improved Risk Bounds for Transductive Learning Bowei Zhu, Shaojie Li, Yong Liu
ICLR 2025 Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan, Yong Liu
NeurIPS 2025 UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions Zhucun Xue, Jiangning Zhang, Teng Hu, Haoyang He, Yinan Chen, Yuxuan Cai, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Dacheng Tao
ICML 2025 Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu
ICLRW 2025 Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, Yong Liu
AAAI 2025 VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
NeurIPS 2025 X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability Yu Yang, Alan Liang, Jianbiao Mei, Yukai Ma, Yong Liu, Gim Hee Lee
AAAI 2024 A Multimodal, Multi-Task Adapting Framework for Video Action Recognition Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
AAAI 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang
ICML 2024 Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses Shaojie Li, Bowei Zhu, Yong Liu
ICMLW 2024 Aligning Crowd Feedback via Distributional Preference Reward Modeling Dexun Li, Cong Zhang, Kuicai Dong, Derrick Goh Xin Deik, Ruiming Tang, Yong Liu
CVPR 2024 An Aggregation-Free Federated Learning for Tackling Data Heterogeneity Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
NeurIPS 2024 AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
NeurIPS 2024 BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
AAAI 2024 Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan
CVPR 2024 Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection Yicheng Xiao, Zhuoyan Luo, Yong Liu, Yue Ma, Hengwei Bian, Yatai Ji, Yujiu Yang, Xiu Li
ICML 2024 Concentration Inequalities for General Functions of Heavy-Tailed Random Variables Shaojie Li, Yong Liu
JMLR 2024 Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails Shaojie Li, Yong Liu
NeurIPS 2024 Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
AAAI 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) Jian Li, Yong Liu, Weiping Wang
ICLR 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor Tsang, Yong Liu
ICMLW 2024 Enhancing Fine-Grained Multi-Modal Alignment via Adapters: A Parameter-Efficient Training Framework for Referring Image Segmentation Zunnan Xu, Jiaqi Huang, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li
NeurIPS 2024 Enhancing In-Context Learning Performance with Just SVD-Based Weight Pruning: A Theoretical Perspective Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu
NeurIPSW 2024 EnzymeFlow: Generating Reaction-Specific Enzyme Catalytic Pockets Through Flow Matching and Co-Evolutionary Dynamics Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K Yang, Guy Wolf, Doina Precup, Shuangjia Zheng
ECCV 2024 Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu
AAAI 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning Jian Li, Yong Liu, Weiping Wang
IJCAI 2024 HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph Chenhao Wang, Yong Liu, Yan Yang, Wei Li
AAAI 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm Jian Li, Yong Liu, Weiping Wang
JMLR 2024 Information-Theoretic Generalization Bounds for Transductive Learning and Its Applications Huayi Tang, Yong Liu
CVPR 2024 LORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang
JMLR 2024 Learning Discretized Neural Networks Under Ricci Flow Jun Chen, Hanwen Chen, Mengmeng Wang, Guang Dai, Ivor W. Tsang, Yong Liu
AAAI 2024 Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang
CVPR 2024 MaxQ: Multi-Axis Query for N:M Sparsity Network Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu
ACML 2024 Multi-Task Network Guided Multimodal Fusion for Fake News Detection Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang
ICLRW 2024 Neural Retrievers Are Biased Towards LLM-Generated Content Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
CVPR 2024 Open-Vocabulary Segmentation with Semantic-Assisted Calibration Yong Liu, Sule Bai, Guanbin Li, Yitong Wang, Yansong Tang
ECCV 2024 OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks Jingyang Xiang, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu
CVPR 2024 Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu
ICML 2024 Perfect Alignment May Be Poisonous to Graph Contrastive Learning Jingyu Liu, Huayi Tang, Yong Liu
AAAI 2024 RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu
CVPR 2024 SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu
NeurIPS 2024 Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang
ICLR 2024 Sentence-Level Prompts Benefit Composed Image Retrieval Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
ICLR 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
NeurIPS 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long
ICML 2024 Timer: Generative Pre-Trained Transformers Are Large Time Series Models Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long
ECCV 2024 Timestep-Aware Correction for Quantized Diffusion Models Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
IJCAI 2024 Towards Sharper Risk Bounds for Minimax Problems Bowei Zhu, Shaojie Li, Yong Liu
NeurIPS 2024 Towards Understanding How Transformers Learn In-Context Through a Representation Learning Lens Ruifeng Ren, Yong Liu
ECCV 2024 Tuning-Free Image Customization with Image and Text Guidance Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng
TMLR 2024 Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu
CVPR 2024 Universal Segmentation at Arbitrary Granularity with Language Instruction Yong Liu, Cairong Zhang, Yitong Wang, Jiahao Wang, Yujiu Yang, Yansong Tang
AAAI 2024 Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng
AAAI 2024 WaveNet: Tackling Non-Stationary Graph Signals via Graph Spectral Wavelets Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu
ICLR 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
AAAI 2023 AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu
CVPR 2023 Adaptive Assignment for Geometry Aware Local Feature Matching Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang
CVPR 2023 Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution Xuhai Chen, Jiangning Zhang, Chao Xu, Yabiao Wang, Chengjie Wang, Yong Liu
ICCV 2023 Boosting Few-Shot Action Recognition with Graph-Guided Hybrid Matching Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
ICML 2023 Consistency of Multiple Kernel Clustering Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu
CVPRW 2023 Correlation Pyramid Network for 3D Single Object Tracking Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu
ACML 2023 Decouple Then Combine: A Simple and Effective Framework for Fraud Transaction Detection Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu
ICML 2023 Distribution-Dependent McDiarmid-Type Inequalities for Functions of Unbounded Interaction Shaojie Li, Yong Liu
ICCV 2023 Diverse Data Augmentation with Diffusions for Effective Test-Time Prompt Tuning Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo
CVPR 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training Pengwei Tang, Wei Yao, Zhicong Li, Yong Liu
ICLR 2023 Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses Xiaolin Hu, Shaojie Li, Yong Liu
ICCV 2023 Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning Chi Zhang, Zhang Xiaoman, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu
ICCV 2023 Global Knowledge Calibration for Fast Open-Vocabulary Segmentation Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei
CVPR 2023 HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search Jiechao Yang, Yong Liu, Hongteng Xu
CVPR 2023 High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu
NeurIPS 2023 Koopa: Learning Non-Stationary Time Series Dynamics with Koopman Predictors Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long
CVPR 2023 Learning Federated Visual Prompt in Null Space for MRI Reconstruction Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
ICCV 2023 Learning Global-Aware Kernel for Image Harmonization Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu
CVPR 2023 Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu
AAAI 2023 MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen
AAAI 2023 Next POI Recommendation with Dynamic Graph and Explicit Dependency Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han
ICML 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning Jian Li, Yong Liu, Weiping Wang
JMLR 2023 Optimal Convergence Rates for Distributed Nystroem Approximation Jian Li, Yong Liu, Weiping Wang
ICCV 2023 RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu
CVPR 2023 RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin
NeurIPS 2023 Real3D-AD: A Dataset of Point Cloud Anomaly Detection Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng
AAAI 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective Yongwei Wang, Yong Liu, Zhiqi Shen
AAAI 2023 Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition Jiazheng Xing, Mengmeng Wang, Yong Liu, Boyu Mu
NeurIPS 2023 SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation Zhuoyan Luo, Yicheng Xiao, Yong Liu, Shuyan Li, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang
NeurIPS 2023 SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu
ICCV 2023 Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu
ICLR 2023 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
IJCAI 2023 Towards Sharp Analysis for Distributed Learning with Random Features Jian Li, Yong Liu
ICML 2023 Towards Understanding Generalization of Graph Neural Networks Huayi Tang, Yong Liu
CoRL 2023 TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu
AAAI 2023 Understanding the Generalization Performance of Spectral Clustering Algorithms Shaojie Li, Sheng Ouyang, Yong Liu
ICCV 2023 Unified Data-Free Compression: Pruning and Quantization Without Fine-Tuning Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu
CVPR 2022 CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Goh, Hongyuan Zhu
CVPR 2022 Class-Aware Contrastive Semi-Supervised Learning Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong Liu, Feng Zheng, Wei Zhang, Chengjie Wang, Long Zeng
ICLR 2022 Concurrent Adversarial Learning for Large-Batch Training Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
ICML 2022 Deep Safe Incomplete Multi-View Clustering: Theorem and Algorithm Huayi Tang, Yong Liu
CVPR 2022 Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase Huayi Tang, Yong Liu
ECCV 2022 Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu
AAAI 2022 Distributed Randomized Sketching Kernel Learning Rong Yin, Yong Liu, Dan Meng
ECCV 2022 E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu
IJCAI 2022 Enhancing Sequential Recommendation with Graph Contrastive Learning Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao
NeurIPS 2022 Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms Jiechao Guan, Yong Liu, Zhiwu Lu
ECCV 2022 Global Spectral Filter Memory Network for Video Object Segmentation Yong Liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang
AAAI 2022 Go Wider Instead of Deeper Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You
AAAI 2022 Guide Local Feature Matching by Overlap Estimation Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu
ICLR 2022 High Probability Generalization Bounds with Fast Rates for Minimax Problems Shaojie Li, Yong Liu
ICML 2022 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails Shaojie Li, Yong Liu
ECCV 2022 Learning Quality-Aware Dynamic Memory for Video Object Segmentation Yong Liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang
ECCV 2022 Learning to Train a Point Cloud Reconstruction Network Without Matching Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu
ECML-PKDD 2022 NE-WNA: A Novel Network Embedding Framework Without Neighborhood Aggregation Jijie Zhang, Yan Yang, Yong Liu, Meng Han
ECML-PKDD 2022 Non-IID Distributed Learning with Optimal Mixture Weights Jian Li, Bojian Wei, Yong Liu, Weiping Wang
NeurIPS 2022 Non-Stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
NeurIPS 2022 Random Sharpness-Aware Minimization Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You
NeurIPS 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means Rong Yin, Yong Liu, Weiping Wang, Dan Meng
JMLR 2022 Ranking and Tuning Pre-Trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long
CVPR 2022 Region-Aware Face Swapping Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, Yong Liu
ECCV 2022 Resolution-Free Point Cloud Sampling Network with Data Distillation Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu
IJCAI 2022 Ridgeless Regression with Random Features Jian Li, Yong Liu, Yingying Zhang
AAAI 2022 SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu
ECML-PKDD 2022 SkipCas: Information Diffusion Prediction Model Based on Skip-Gram Dedong Ren, Yong Liu
NeurIPS 2022 SoftPatch: Unsupervised Anomaly Detection with Noisy Data Xi Jiang, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai Wu, Yong Liu, Chengjie Wang, Feng Zheng
NeurIPS 2022 Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu
ECCV 2022 SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu
CVPR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You
AAAI 2021 A Hybrid Bandit Framework for Diversified Recommendation Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang
NeurIPS 2021 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu
ICLR 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms Yong Liu, Jiankun Liu, Shuqiang Wang
AAAI 2021 FCFR-Net: Feature Fusion Based Coarse-to-Fine Residual Learning for Depth Completion Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang
AAAI 2021 HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan
NeurIPS 2021 Improved Learning Rates of a Functional Lasso-Type SVM with Sparse Multi-Kernel Representation Shaogao Lv, Junhui Wang, Jiankun Liu, Yong Liu
AAAI 2021 Keyword-Guided Neural Conversational Model Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao
ICML 2021 LogME: Practical Assessment of Pre-Trained Models for Transfer Learning Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long
IJCAI 2021 Medical Image Segmentation Using Squeeze-and-Expansion Transformers Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
AAAI 2021 One-Shot Face Reenactment Using Appearance Adaptive Normalization Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou
ICCV 2021 RFNet: Recurrent Forward Network for Dense Point Cloud Completion Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu
NeurIPS 2021 Refined Learning Bounds for Kernel and Approximate $k$-Means Yong Liu
NeurIPS 2021 Searching Parameterized AP Loss for Object Detection Tao Chenxin, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai
ICCV 2021 Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang
ICML 2021 Sharper Generalization Bounds for Clustering Shaojie Li, Yong Liu
WACV 2021 Spatial Context-Aware Self-Attention Model for Multi-Organ Segmentation Hao Tang, Xingwei Liu, Kun Han, Xiaohui Xie, Xuming Chen, Huang Qian, Yong Liu, Shanlin Sun, Narisu Bai
AAAI 2021 Structure-Aware Person Image Generation with Pose Decomposition and Semantic Correlation Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou
NeurIPS 2021 Towards Sharper Generalization Bounds for Structured Prediction Shaojie Li, Yong Liu
ICLR 2020 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
AAAI 2020 Automated Spectral Kernel Learning Jian Li, Yong Liu, Weiping Wang
IJCAI 2020 Contextualized Point-of-Interest Recommendation Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
ECCV 2020 DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
ECCV 2020 Dive Deeper into Box for Object Detection Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai
AAAI 2020 Diversified Interactive Recommendation with Implicit Feedback Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang
AAAI 2020 Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng
AAAI 2020 FDN: Feature Decoupling Network for Head Pose Estimation Hao Zhang, Mengmeng Wang, Yong Liu, Yi Yuan
AAAI 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
IJCAI 2020 Learning Personalized Itemset Mapping for Cross-Domain Recommendation Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
AAAI 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
ACML 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence Meng Liu, Ziwei Quan, Yong Liu
AAAI 2020 Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu
AAAI 2020 RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing
AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao
IJCAI 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis Jian Li, Yong Liu, Rong Yin, Weiping Wang
AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao
IJCAI 2019 Multi-Class Learning Using Unlabeled Samples: Theory and Algorithm Jian Li, Yong Liu, Rong Yin, Weiping Wang
IJCAI 2019 PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan
NeurIPS 2019 Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao
IJCAI 2019 Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu
IJCAI 2019 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan
CVPRW 2019 What Elements Are Essential to Recognize Human Actions? Yachun Li, Yong Liu, Chi Zhang
IJCAI 2018 Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin
IJCAI 2018 Fast Cross-Validation Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang
AAAI 2018 Randomized Kernel Selection with Spectra of Multilevel Circulant Matrices Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao
AAAI 2018 SC2Net: Sparse LSTMs for Sparse Coding Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh
IJCAI 2017 Efficient Kernel Selection via Spectral Analysis Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang
AAAI 2017 Generalization Analysis for Ranking Using Integral Operator Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang
AAAI 2017 Infinite Kernel Learning: Generalization Bounds and Algorithms Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang
CVPR 2017 Large Margin Object Tracking with Circulant Feature Maps Mengmeng Wang, Yong Liu, Zeyi Huang
IJCAI 2017 Learning User Dependencies for Recommendation Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li
IJCAI 2017 Online Multitask Relative Similarity Learning Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao
IJCAI 2016 Exploring the Context of Locations for Personalized Location Recommendations Xin Liu, Yong Liu, Xiaoli Li
AAAI 2016 Information Credibility Evaluation on Social Media Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan
IJCAI 2015 A Boosting Algorithm for Item Recommendation with Implicit Feedback Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao
AAAI 2015 Eigenvalues Ratio for Kernel Selection of Kernel Methods Yong Liu, Shizhong Liao
ICML 2014 Efficient Approximation of Cross-Validation for Kernel Methods Using Bouligand Influence Function Yong Liu, Shali Jiang, Shizhong Liao
ICLR 2014 Image Representation Learning Using Graph Regularized Auto-Encoders Yiyi Liao, Yue Wang, Yong Liu
ECML-PKDD 2014 Preventing Over-Fitting of Cross-Validation with Kernel Stability Yong Liu, Shizhong Liao
AAAI 2006 Ontology Based Semantic Modeling for Chinese Ancient Architectures Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan
NeCo 1994 Influence Function Analysis of PCA and BCM Learning Yong Liu
NeurIPS 1993 Robust Parameter Estimation and Model Selection for Neural Network Regression Yong Liu
NeurIPS 1992 Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method Yong Liu