Constructing Multi-Resolution Markov State Models (MSMs) to Elucidate RNA Hairpin Folding Mechanisms. - Xuhui Huang; Yuan Yao 011; Gregory R. Bowman; Jian Sun 002; Leonidas J. Guibas; Gunnar E. Carlsson; Vijay S. Pande (Pacific Symposium on Biocomputing, 2010)

Simulating human saccadic scanpaths on natural images. - Wei Wang 115; Cheng Chen 004; Yizhou Wang 001; Tingting Jiang 001; Fang Fang 003; Yuan Yao 011 (CVPR, 2011)

Overcomplete Radon bases for target property management in sensor networks. - Xiaoye Jiang; Mo Li 001; Yuan Yao 011; Leonidas J. Guibas (IPSN, 2011)

Random partial paired comparison for subjective video quality assessment via hodgerank. - Qianqian Xu; Tingting Jiang 001; Yuan Yao 011; Qingming Huang; Bowei Yan; Weisi Lin (ACM Multimedia, 2011)

Online crowdsourcing subjective image quality assessment. - Qianqian Xu; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2012)

Detecting Network Cliques with Radon Basis Pursuit. - Xiaoye Jiang; Yuan Yao 011; Han Liu 001; Leonidas J. Guibas (AISTATS, 2012)

HodgeRank on Random Graphs for Subjective Video Quality Assessment. - Qianqian Xu; Qingming Huang; Tingting Jiang 001; Bowei Yan; Weisi Lin; Yuan Yao 011 (IEEE Trans. Multim., 2012)

Robust evaluation for quality of experience in crowdsourcing. - Qianqian Xu; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2013)

Property management in wireless sensor networks with overcomplete radon bases. - Xiaoye Jiang; Mo Li 001; Yuan Yao 011; Leonidas J. Guibas (ACM Trans. Sens. Networks, 2013)

Interestingness Prediction by Robust Learning to Rank. - Yanwei Fu 001; Timothy M. Hospedales; Tao Xiang 002; Shaogang Gong; Yuan Yao 011 (ECCV (2), 2014)

Robust Statistical Ranking: Theory and Algorithms. - Qianqian Xu; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (CoRR, 2014)

Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience. - Qianqian Xu; Ming Yan 006; Yuan Yao 011 (CoRR, 2014)

Compressive Network Analysis. - Xiaoye Jiang; Yuan Yao 011; Han Liu 001; Leonidas J. Guibas (IEEE Trans. Autom. Control., 2014)

Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation. - Qianqian Xu; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (IEEE Trans. Multim., 2014)

Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications. - Qing Wang; Hengshu Zhu; Wei Hu; Zhiyong Shen; Yuan Yao 011 (KDD, 2015)

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs. - Braxton Osting; Jiechao Xiong; Qianqian Xu; Yuan Yao 011 (CoRR, 2015)

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking. - Qianqian Xu; Jiechao Xiong; Xiaochun Cao; Yuan Yao 011 (ICML, 2016)

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. - Qianqian Xu; Jiechao Xiong; Xiaochun Cao; Yuan Yao 011 (ACM Multimedia, 2016)

Split LBI: An Iterative Regularization Path with Structural Sparsity. - Chendi Huang; Xinwei Sun 001; Jiechao Xiong; Yuan Yao 011 (NIPS, 2016)

Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. - Yanwei Fu 001; Timothy M. Hospedales; Tao Xiang 002; Jiechao Xiong; Shaogang Gong; Yizhou Wang 001; Yuan Yao 011 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. - Xinwei Sun 001; Lingjing Hu; Yuan Yao 011; Yizhou Wang 001 (MICCAI (3), 2017)

Exploring Outliers in Crowdsourced Ranking for QoE. - Qianqian Xu; Ming Yan 006; Chendi Huang; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2017)

Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics. - Tsz Kit Lau; Yuan Yao 011 (CoRR, 2017)

Zero-shot Learning via Shared-Reconstruction-Graph Pursuit. - Bo Zhao 015; Xinwei Sun 001; Yuan Yao 011; Yizhou Wang 001 (CoRR, 2017)

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. - Ke Ma 001; Jinshan Zeng; Jiechao Xiong; Qianqian Xu; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (AAAI, 2018)

HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation. - Qianqian Xu; Jiechao Xiong; Xi Chen; Qingming Huang; Yuan Yao 011 (AAAI, 2018)

A Unified Dynamic Approach to Sparse Model Selection. - Chendi Huang; Yuan Yao 011 (AISTATS, 2018)

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. - Jinshan Zeng; Ke Ma 001; Yuan Yao 011 (AISTATS, 2018)

Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification. - Yin Xian; Hanlin Gu; Wei Wang 125; Xuhui Huang; Yuan Yao 011; Yang Wang 020; Jian-Feng Cai 001 (GlobalSIP, 2018)

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. - Tim Tsz-Kit Lau; Jinshan Zeng; Baoyuan Wu; Yuan Yao 011 (ICLR (Workshop), 2018)

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. - Bo Zhao 015; Xinwei Sun 001; Yanwei Fu 001; Yuan Yao 011; Yizhou Wang 001 (ICML, 2018)

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis. - Xinwei Sun 001; Lingjing Hu; Fandong Zhang; Yuan Yao 011; Yizhou Wang 001 (MICCAI (1), 2018)

A Margin-based MLE for Crowdsourced Partial Ranking. - Qianqian Xu; Jiechao Xiong; Xinwei Sun 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2018)

Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees. - Jinshan Zeng; Tim Tsz-Kit Lau; Shaobo Lin; Yuan Yao 011 (CoRR, 2018)

Deep Robust Subjective Visual Property Prediction in Crowdsourcing. - Qianqian Xu; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (CVPR, 2019)

Global Convergence of Block Coordinate Descent in Deep Learning. - Jinshan Zeng; Tim Tsz-Kit Lau; Shaobo Lin; Yuan Yao 011 (ICML, 2019)

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. - Qianqian Xu; Xinwei Sun 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (NeurIPS, 2019)

Zero-Shot Learning Via Recurrent Knowledge Transfer. - Bo Zhao 015; Xinwei Sun 001; Xiaopeng Hong; Yuan Yao 011; Yizhou Wang 001 (WACV, 2019)

A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning. - Jinshan Zeng; Shaobo Lin; Yuan Yao 011 (CoRR, 2019)

S2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning. - Yanwei Fu 001; Donghao Li; Xinwei Sun 001; Shun Zhang; Yizhou Wang 001; Yuan Yao 011 (CoRR, 2019)

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. - Yanwei Fu 001; Chen Liu 030; Donghao Li; Xinwei Sun 001; Jinshan Zeng; Yuan Yao 011 (CoRR, 2019)

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. - Ke Ma 001; Jinshan Zeng; Qianqian Xu; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (CoRR, 2019)

Bootstrapping Knowledge Graphs From Images and Text. - Jiayuan Mao; Yuan Yao 011; Stefan Heinrich; Tobias Hinz; Cornelius Weber; Stefan Wermter; Zhiyuan Liu 001; Maosong Sun 001 (Frontiers Neurorobotics, 2019)

From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation. - Qianqian Xu; Jiechao Xiong; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. - Jinshan Zeng; Ke Ma 001; Yuan Yao 011 (IEEE Trans. Signal Process., 2019)

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. - Qianqian Xu; Jiechao Xiong; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (AAAI, 2020)

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. - Yanwei Fu 001; Chen Liu 030; Donghao Li; Xinwei Sun 001; Jinshan Zeng; Yuan Yao 011 (ICML, 2020)

Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space. - Xinwei Sun 001; Wenjing Han; Lingjing Hu; Yuan Yao 011; Yizhou Wang 001 (CoRR, 2020)

Crossmodal Language Grounding in an Embodied Neurocognitive Model. - Stefan Heinrich; Yuan Yao 011; Tobias Hinz; Zhiyuan Liu 001; Thomas Hummel 001; Matthias Kerzel; Cornelius Weber; Stefan Wermter (Frontiers Neurorobotics, 2020)

Deep Partial Rank Aggregation for Personalized Attributes. - Qianqian Xu; Zhiyong Yang 001; Zuyao Chen; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (AAAI, 2021)

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. - Jinshan Zeng; Qi Chen; Yunxin Liu; Mingwen Wang 001; Yuan Yao 011 (AAAI, 2021)

Visual Distant Supervision for Scene Graph Generation. - Yuan Yao 011; Ao Zhang; Xu Han 007; Mengdi Li; Cornelius Weber; Zhiyuan Liu 001; Stefan Wermter; Maosong Sun 001 (ICCV, 2021)

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. - Jinshan Zeng; Yixuan Zha; Ke Ma 001; Yuan Yao 011 (CoRR, 2021)

A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer. - Wenqi Zeng; Siqin Cao; Xuhui Huang; Yuan Yao 011 (CoRR, 2021)

Federated Deep Learning with Bayesian Privacy. - Hanlin Gu; Lixin Fan; Bowen Li 013; Yan Kang 001; Yuan Yao 011; Qiang Yang 001 (CoRR, 2021)

Evaluating Visual Properties via Robust HodgeRank. - Qianqian Xu; Jiechao Xiong; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (Int. J. Comput. Vis., 2021)

On ADMM in Deep Learning: Convergence and Saturation-Avoidance. - Jinshan Zeng; Shao-Bo Lin; Yuan Yao 011; Ding-Xuan Zhou (J. Mach. Learn. Res., 2021)

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. - Ke Ma 001; Jinshan Zeng; Jiechao Xiong; Qianqian Xu; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (IEEE Trans. Knowl. Data Eng., 2021)

Private Streaming SCO in ℓp geometry with Applications in High Dimensional Online Decision Making. - Yuxuan Han; Zhicong Liang; Zhipeng Liang; Yang Wang 020; Yuan Yao 011; Jiheng Zhang (ICML, 2022)

Optimizing Random Mixup with Gaussian Differential Privacy. - Donghao Li; Yang Cao; Yuan Yao 011 (CoRR, 2022)

On Private Online Convex Optimization: Optimal Algorithms in 𝓁p-Geometry and High Dimensional Contextual Bandits. - Yuxuan Han; Zhicong Liang; Zhipeng Liang; Yang Wang 020; Yuan Yao 011; Jiheng Zhang (CoRR, 2022)

StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding. - Jinshan Zeng; Yefei Wang; Qi Chen; Yunxin Liu; Mingwen Wang 001; Yuan Yao 011 (CoRR, 2022)

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning. - Yikai Wang 002; Li Zhang 040; Yuan Yao 011; Yanwei Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. - Qianqian Xu; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Image-to-Video Generation via 3D Facial Dynamics. - Xiaoguang Tu; Yingtian Zou; Jian Zhao 006; Wenjie Ai; Jian Dong; Yuan Yao 011; Zhikang Wang; Guodong Guo; Zhifeng Li 001; Wei Liu 005; Jiashi Feng (IEEE Trans. Circuits Syst. Video Technol., 2022)

Spatial relation learning in complementary scenarios with deep neural networks. - Jae Hee Lee 001; Yuan Yao 011; Ozan Özdemir; Mengdi Li; Cornelius Weber; Zhiyuan Liu 001; Stefan Wermter (Frontiers Neurorobotics, 2022)

Inducing Neural Collapse in Deep Long-tailed Learning. - Xuantong Liu; Jianfeng Zhang; Tianyang Hu; He Cao; Yuan Yao 011; Lujia Pan (AISTATS, 2023)

VPGTrans: Transfer Visual Prompt Generator across LLMs. - Ao Zhang; Hao Fei 001; Yuan Yao 011; Wei Ji 008; Li Li 091; Zhiyuan Liu 001; Tat-Seng Chua (NeurIPS, 2023)

Transfer Visual Prompt Generator across LLMs. - Ao Zhang; Hao Fei 001; Yuan Yao 011; Wei Ji 008; Li Li 091; Zhiyuan Liu 001; Tat-Seng Chua (CoRR, 2023)

Random Smoothing Regularization in Kernel Gradient Descent Learning. - Liang Ding; Tianyang Hu; Jiahang Jiang; Donghao Li; Wenjia Wang; Yuan Yao 011 (CoRR, 2023)

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. - Yong Lin; Chen Liu 030; Chenlu Ye; Qing Lian; Yuan Yao 011; Tong Zhang 001 (CoRR, 2023)

Mitigating the Alignment Tax of RLHF. - Yong Lin; Hangyu Lin; Wei Xiong 015; Shizhe Diao; Jianmeng Liu; Jipeng Zhang; Rui Pan 002; Haoxiang Wang 003; Wenbin Hu 002; Hanning Zhang; Hanze Dong; Renjie Pi; et al. (CoRR, 2023)

Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches. - Jiamin Wu; He Cao; Yuan Yao 011 (CoRR, 2023)

Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. - Yanwei Fu 001; Chen Liu 030; Donghao Li; Zuyuan Zhong; Xinwei Sun 001; Jinshan Zeng; Yuan Yao 011 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release. - Donghao Li; Yang Cao; Yuan Yao 011 (CPAL, 2024)

Mitigating the Alignment Tax of RLHF. - Yong Lin; Hangyu Lin; Wei Xiong 015; Shizhe Diao; Jianmeng Liu; Jipeng Zhang; Rui Pan 002; Haoxiang Wang 003; Wenbin Hu 002; Hanning Zhang; Hanze Dong; Renjie Pi; et al. (EMNLP, 2024)

KoLA: Carefully Benchmarking World Knowledge of Large Language Models. - Jifan Yu; Xiaozhi Wang; Shangqing Tu; Shulin Cao; Daniel Zhang-Li; Xin Lv; Hao Peng 015; Zijun Yao 002; Xiaohan Zhang; Hanming Li; Chunyang Li; Zheyuan Zhang; et al. (ICLR, 2024)

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. - Xuantong Liu; Tianyang Hu; Wenjia Wang; Kenji Kawaguchi; Yuan Yao 011 (ICML, 2024)

Towards Global Optimal Visual In-Context Learning Prompt Selection. - Chengming Xu 001; Chen Liu 030; Yikai Wang 002; Yuan Yao 011; Yanwei Fu 001 (NeurIPS, 2024)

Evaluating Membership Inference Attacks and Defenses in Federated Learning. - Gongxi Zhu; Donghao Li; Hanlin Gu; Yuxing Han 001; Yuan Yao 011; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning. - Hangyu Lin; Chen Liu 030; Chengming Xu 001; Zhengqi Gao; Yanwei Fu 001; Yuan Yao 011 (CoRR, 2024)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. - Hanlin Gu; Jiahuan Luo; Yan Kang 001; Yuan Yao 011; Gongxi Zhu; Bowen Li 013; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Shiji Song; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. - He Cao; Yanjun Shao; Zhiyuan Liu 001; Zijing Liu; Xiangru Tang; Yuan Yao 011; Yu Li 003 (CoRR, 2024)

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness. - Shengkun Zhu; Jinshan Zeng; Sheng Wang 007; Yuan Sun 003; Xiaodong Li 001; Yuan Yao 011; Zhiyong Peng 001 (CoRR, 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Yizeng Han; Jiayi Guo; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning. - Gongxi Zhu; Donghao Li; Hanlin Gu; Yuan Yao 011; Lixin Fan; Yuxing Han 001 (CVPR, 2025)

Learning to Bid in Non-Stationary Repeated First-Price Auctions. - Zihao Hu; Xiaoyu Fan; Yuan Yao 011; Jiheng Zhang; Zhengyuan Zhou (CoRR, 2025)

When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO. - Lingfan Zhang; Chen Liu 030; Chengming Xu 001; Kai Hu; Donghao Luo 001; Chengjie Wang; Yanwei Fu 001; Yuan Yao 011 (CoRR, 2025)

An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes. - Ji Qi 003; Yuan Yao 011; Yushi Bai; Bin Xu 001; Juanzi Li; Zhiyuan Liu 001; Tat-Seng Chua (CoRR, 2025)

FedAPM: Federated Learning via ADMM with Partial Model Personalization. - Shengkun Zhu; Feiteng Nie; Jinshan Zeng; Sheng Wang 007; Yuan Sun 003; Yuan Yao 011; Shangfeng Chen; Quanqing Xu; Chuanhui Yang (CoRR, 2025)

TextVidBench: A Benchmark for Long Video Scene Text Understanding. - Yangyang Zhong; Ji Qi 003; Yuan Yao 011; Pengxin Luo; Yunfeng Yan; Donglian Qi; Zhiyuan Liu 001; Tat-Seng Chua (CoRR, 2025)