A new schedule for decoding low-density parity-check codes. - Yongyi Mao; Amir H. Banihashemi (GLOBECOM, 2001)

A heuristic search for good low-density parity-check codes at short block lengths. - Yongyi Mao; Amir H. Banihashemi (ICC, 2001)

A multi-base station multi-carrier PRMA MAC protocol. - Mingyuan Li; Yongyi Mao; Xiaoyan Zhang; Juan Guo (ICON, 2001)

Decoding low-density parity-check codes with probabilistic scheduling. - Yongyi Mao; Amir H. Banihashemi (IEEE Commun. Lett., 2001)

Convolutional Factor Graphs as Probabilistic Models. - Yongyi Mao; Frank R. Kschischang; Brendan J. Frey (UAI, 2004)

A factor graph approach to link loss monitoring in wireless sensor networks. - Yongyi Mao; Frank R. Kschischang; Baochun Li; Subbarayan Pasupathy (IEEE J. Sel. Areas Commun., 2005)

On factor graphs and the Fourier transform. - Yongyi Mao; Frank R. Kschischang (IEEE Trans. Inf. Theory, 2005)

Reduced-Complexity Decoding of Raptor Codes over Fading Channels. - Ketai Hu; Jeff Castura; Yongyi Mao (GLOBECOM, 2006)

On Rateless Coding over Fading Channels with Delay Constraints. - Jeff Castura; Yongyi Mao; Stark C. Draper (ISIT, 2006)

On Generalized Survey Propagation: Normal Realization and Sum-Product Interpretation. - Ronghui Tu; Yongyi Mao; Jiying Zhao (ISIT, 2006)

Rateless coding over fading channels. - Jeff Castura; Yongyi Mao (IEEE Commun. Lett., 2006)

Performance-Complexity Tradeoffs of Raptor Codes over Gaussian Channels. - Ketai Hu; Jeff Castura; Yongyi Mao (IEEE Commun. Lett., 2007)

Rateless Coding and Relay Networks. - Jeff Castura; Yongyi Mao (IEEE Signal Process. Mag., 2007)

Speech Quality Evaluation: A New Application of Digital Watermarking. - Libin Cai; Ronghui Tu; Jiying Zhao; Yongyi Mao (IEEE Trans. Instrum. Meas., 2007)

Rateless Coding for Wireless Relay Channels. - Jeff Castura; Yongyi Mao (IEEE Trans. Wirel. Commun., 2007)

Survey Propagation as "Probabilistic Token Passing". - Ronghui Tu; Yongyi Mao; Jiying Zhao (IEICE Trans. Inf. Syst., 2008)

On the design of raptor codes for binary-input gaussian channels. - Zhong Cheng; Jeff Castura; Yongyi Mao (IEEE Trans. Commun., 2009)

Graphical models for dependencies and queries in uncertain data. - Ruiwen Chen; Iluju Kiringa; Yongyi Mao (ICDE Workshops, 2010)

Generator-Recognizer Networks: A unified approach to probabilistic databases. - Ruiwen Chen; Yongyi Mao; Iluju Kiringa (ICDE, 2010)

Valiant transform of forney graphs. - Ali Al-Bashabsheh; Yongyi Mao (ITW, 2010)

GRN model of probabilistic databases: construction, transition and querying. - Ruiwen Chen; Yongyi Mao; Iluju Kiringa (SIGMOD Conference, 2010)

On Holant Theorem and Its Proof - Ali Al-Bashabsheh; Yongyi Mao; Abbas Yongaçoglu (CoRR, 2010)

Is SP BP? - Ronghui Tu; Yongyi Mao; Jiying Zhao (IEEE Trans. Inf. Theory, 2010)

Recommender Systems from "Words of Few Mouths". - Richong Zhang; Thomas T. Tran; Yongyi Mao (IJCAI, 2011)

An Encryption Algorithm of Chaos Based on Sine Square Mapping. - Yongyi Mao; Xiang Chen (ISCID (1), 2011)

Normal factor graphs: A diagrammatic approach to linear algebra. - Ali Al-Bashabsheh; Yongyi Mao; Pascal O. Vontobel (ISIT, 2011)

Normal Factor Graphs and Holographic Transformations. - Ali Al-Bashabsheh; Yongyi Mao (IEEE Trans. Inf. Theory, 2011)

A graphical revisit of the Krawtchouk transform. - Yongyi Mao; Terence H. Chan (ISIT, 2012)

Real-time helpfulness prediction based on voter opinions. - Richong Zhang; Thomas T. Tran; Yongyi Mao (Concurr. Comput. Pract. Exp., 2012)

Normal Factor Graphs as Probabilistic Models - Ali Al-Bashabsheh; Yongyi Mao (CoRR, 2012)

Error Reduction in Multiple-Access Systems by Message Wrapping. - Terence Chan; Yongyi Mao (IEEE Commun. Lett., 2012)

Opinion helpfulness prediction in the presence of "words of few mouths". - Richong Zhang; Thomas T. Tran; Yongyi Mao (World Wide Web, 2012)

Translation schemes and LP bounds. - Ali Al-Bashabsheh; Yongyi Mao; Terence H. Chan (CWIT, 2013)

A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. - Yili Fang; Hailong Sun 001; Richong Zhang; Jinpeng Huai; Yongyi Mao (AAAI, 2014)

On stochastic estimation of the partition function. - Ali Al-Bashabsheh; Yongyi Mao (ISIT, 2014)

Trust Prediction via Belief Propagation. - Richong Zhang; Yongyi Mao (ACM Trans. Inf. Syst., 2014)

Communication of dependent messages over degraded compound channels. - Zhong Cheng; Yongyi Mao; Terence Chan (CWIT, 2015)

Non-binary distributed arithmetic coding. - Ziyang Wang; Yongyi Mao; Iluju Kiringa (CWIT, 2015)

On the Representation and Embedding of Knowledge Bases beyond Binary Relations. - Jianfeng Wen; Jianxin Li 002; Yongyi Mao; Shini Chen; Richong Zhang (IJCAI, 2016)

On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm. - Chune Li; Yongyi Mao; Richong Zhang; Jinpeng Huai (UAI, 2016)

Embedding of Hierarchically Typed Knowledge Bases. - Richong Zhang; Fanshuang Kong; Chenyue Wang; Yongyi Mao (AAAI, 2018)

The APVA-TURBO Approach To Question Answering in Knowledge Base. - Yue Wang; Richong Zhang; Cheng Xu; Yongyi Mao (COLING, 2018)

Syntax Encoding with Application in Authorship Attribution. - Richong Zhang; Zhiyuan Hu; Hongyu Guo; Yongyi Mao (EMNLP, 2018)

On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols. - Jiajie Mei; Richong Zhang; Yongyi Mao; Ting Deng (SIGIR, 2018)

Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding. - Richong Zhang; Junpeng Li; Jiajie Mei; Yongyi Mao (WWW, 2018)

Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. - Hongyu Guo; Yongyi Mao; Richong Zhang (CoRR, 2018)

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. - Peiyuan Sun; Jianxin Li 002; Yongyi Mao; Richong Zhang; Lihong Wang (CoRR, 2018)

Prototypical recurrent unit. - Dingkun Long; Richong Zhang; Yongyi Mao (Neurocomputing, 2018)

Single-station location algorithm based on secondary scatterer model. - Liangzhan Zhao; Yongyi Mao; Ping Xu (J. Comput. Methods Sci. Eng., 2018)

On the integration of crowd knowledge in pattern recognition. - Richong Zhang; Yongyi Mao (Pattern Recognit. Lett., 2018)

MixUp as Locally Linear Out-of-Manifold Regularization. - Hongyu Guo; Yongyi Mao; Richong Zhang (AAAI, 2019)

LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. - Fanshuang Kong; Richong Zhang; Yongyi Mao; Ting Deng (AAAI, 2019)

Generating Chinese Ci with Designated Metrical Structure. - Richong Zhang; Xinyu Liu; Xinwei Chen; Zhiyuan Hu; Zhaoqing Xu; Yongyi Mao (AAAI, 2019)

A Conditional VAE-Based Conversation Model. - Junfan Chen 001; Richong Zhang; Yongyi Mao; Binfeng Wang; Jianhang Qiao (CCKS, 2019)

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. - Junfan Chen 001; Richong Zhang; Yongyi Mao; Hongyu Guo; Jie Xu 007 (EMNLP/IJCNLP (1), 2019)

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. - Kai Sun; Richong Zhang; Samuel Mensah; Yongyi Mao; Xudong Liu 001 (EMNLP/IJCNLP (1), 2019)

Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. - Junshuang Wu; Richong Zhang; Yongyi Mao; Hongyu Guo; Jinpeng Huai (IJCAI, 2019)

Writing to the Hopfield Memory via Training a Recurrent Network. - Han Bao 005; Richong Zhang; Yongyi Mao; Jinpeng Huai (PRICAI (2), 2019)

A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. - Fanshuang Kong; Richong Zhang; Hongyu Guo; Samuel Mensah; Zhiyuan Hu; Yongyi Mao (WWW, 2019)

Recurrent Neural Networks With Finite Memory Length. - Dingkun Long; Richong Zhang; Yongyi Mao (IEEE Access, 2019)

Movie Recommendation via Markovian Factorization of Matrix Processes. - Richong Zhang; Yongyi Mao (IEEE Access, 2019)

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. - Bokang Zhu; Richong Zhang; Dingkun Long; Yongyi Mao (CoRR, 2019)

Augmenting Data with Mixup for Sentence Classification: An Empirical Study. - Hongyu Guo; Yongyi Mao; Richong Zhang (CoRR, 2019)

MixUp as Directional Adversarial Training. - Guillaume P. Archambault; Yongyi Mao; Hongyu Guo; Richong Zhang (CoRR, 2019)

Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training. - Richong Zhang; Yue Wang; Yongyi Mao; Jinpeng Huai (ACM Trans. Inf. Syst., 2019)

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. - Masoumeh Soflaei; Hongyu Guo; Ali Al-Bashabsheh; Yongyi Mao; Richong Zhang (AAAI, 2020)

Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. - Kai Sun; Richong Zhang; Yongyi Mao; Samuel Mensah; Xudong Liu 001 (AAAI, 2020)

Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. - Yaowei Zheng; Richong Zhang; Samuel Mensah; Yongyi Mao (AAAI, 2020)

Neural Dialogue State Tracking with Temporally Expressive Networks. - Junfan Chen 001; Richong Zhang; Yongyi Mao; Jie Xu 007 (EMNLP (Findings), 2020)

Parallel Interactive Networks for Multi-Domain Dialogue State Generation. - Junfan Chen 001; Richong Zhang; Yongyi Mao; Jie Xu 007 (EMNLP (1), 2020)

Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. - Kai Sun; Richong Zhang; Samuel Mensah; Yongyi Mao; Xudong Liu 001 (EMNLP (1), 2020)

Learning VAE-LDA Models with Rounded Reparameterization Trick. - Runzhi Tian; Yongyi Mao; Richong Zhang (EMNLP (1), 2020)

Dynamic Graph Convolutional Networks for Entity Linking. - Junshuang Wu; Richong Zhang; Yongyi Mao; Hongyu Guo; Masoumeh Soflaei; Jinpeng Huai (WWW, 2020)

Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. - Yaowei Zheng; Richong Zhang; Suyuchen Wang; Samuel Mensah; Yongyi Mao (WWW, 2020)

On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. - Ziqiao Wang; Yongyi Mao; Hongyu Guo; Richong Zhang (CoRR, 2020)

A revisit to MacKay algorithm and its application to deep network compression. - Chune Li; Yongyi Mao; Richong Zhang; Jinpeng Huai (Frontiers Comput. Sci., 2020)

Knowledge graphs completion via probabilistic reasoning. - Richong Zhang; Yongyi Mao; Weihua Zhao (Inf. Sci., 2020)

Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities. - Richong Zhang; Samuel Mensah; Fanshuang Kong; Zhiyuan Hu; Yongyi Mao; Xudong Liu 001 (ACM Trans. Inf. Syst., 2020)

On the Softmax Bottleneck of Recurrent Language Models. - Dwarak Govind Parthiban; Yongyi Mao; Diana Inkpen (AAAI, 2021)

Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. - Kai Sun; Richong Zhang; Samuel Mensah; Yongyi Mao; Xudong Liu 001 (AAAI, 2021)

On Scalar Embedding of Relative Positions in Attention Models. - Junshuang Wu; Richong Zhang; Yongyi Mao; Junfan Chen 001 (AAAI, 2021)

Hypernym Discovery via a Recurrent Mapping Model. - Yuhang Bai; Richong Zhang; Fanshuang Kong; Junfan Chen 001; Yongyi Mao (ACL/IJCNLP (Findings), 2021)

Regularizing Neural Networks via Adversarial Model Perturbation. - Yaowei Zheng; Richong Zhang; Yongyi Mao (CVPR, 2021)

On the Dynamics of Training Attention Models. - Haoye Lu; Yongyi Mao; Amiya Nayak (ICLR, 2021)

Robust Regularization with Adversarial Labelling of Perturbed Samples. - Xiaohui Guo; Richong Zhang; Yaowei Zheng; Yongyi Mao (IJCAI, 2021)

Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. - Junshuang Wu; Richong Zhang; Yongyi Mao; Masoumeh Soflaei Shahrbabak; Jinpeng Huai (IJCAI, 2021)

Unsupervised Semantic Association Learning with Latent Label Inference. - Yanzhao Zhang; Richong Zhang; Jaein Kim 003; Xudong Liu 001; Yongyi Mao (WWW, 2021)

Intrusion-Free Graph Mixup. - Hongyu Guo; Yongyi Mao (CoRR, 2021)

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. - Junfan Chen 001; Richong Zhang; Yongyi Mao; Jie Xu 007 (AAAI, 2022)

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. - Yanzhao Zhang; Richong Zhang; Samuel Mensah; Xudong Liu 001; Yongyi Mao (AAAI, 2022)

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking. - Kai Sun; Richong Zhang; Samuel Mensah; Yongyi Mao; Xudong Liu 001 (ACL (Findings), 2022)

Vector Quantization of Deep Convolutional Neural Networks With Learned Codebook. - Siyuan Yang; Yongyi Mao (CWIT, 2022)

Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. - Keqin Chen; Richong Zhang; Samuel Mensah; Yongyi Mao (EMNLP, 2022)

DropMix: A Textual Data Augmentation Combining Dropout with Mixup. - Fanshuang Kong; Richong Zhang; Xiaohui Guo; Samuel Mensah; Yongyi Mao (EMNLP, 2022)

Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. - Jirui Qi; Richong Zhang; Junfan Chen 001; Jaein Kim 003; Yongyi Mao (EMNLP (Findings), 2022)

Text Style Transferring via Adversarial Masking and Styled Filling. - Jiarui Wang; Richong Zhang; Junfan Chen 001; Jaein Kim 003; Yongyi Mao (EMNLP, 2022)

On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications. - Ziqiao Wang; Yongyi Mao (ICLR, 2022)

On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. - Chune Li; Yongyi Mao; Richong Zhang (ICTAI, 2022)

Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. - Qianben Chen; Richong Zhang; Yaowei Zheng; Yongyi Mao (CoRR, 2022)

Cross Domain Few-Shot Learning via Meta Adversarial Training. - Jirui Qi; Richong Zhang; Chune Li; Yongyi Mao (CoRR, 2022)

The capacity of the dense associative memory networks. - Han Bao 005; Richong Zhang; Yongyi Mao (Neurocomputing, 2022)

Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing. - Junshuang Wu; Richong Zhang; Yongyi Mao; Jinpeng Huai (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network. - Richong Zhang; Qianben Chen; Yaowei Zheng; Samuel Mensah; Yongyi Mao (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. - Junfan Chen 001; Richong Zhang; Zheyan Luo; Chunming Hu; Yongyi Mao (AAAI, 2023)

Interpolating Graph Pair to Regularize Graph Classification. - Hongyu Guo; Yongyi Mao (AAAI, 2023)

Multi-Mask Label Mapping for Prompt-Based Learning. - Jirui Qi; Richong Zhang; Jaein Kim 003; Junfan Chen 001; Wenyi Qin; Yongyi Mao (AAAI, 2023)

Localization of Multi-Building Floors Based on Wavelet-CNN. - Yongyi Mao; Zhiwei Wu; Chengkai Tian (AIPR, 2023)

Anaphor Assisted Document-Level Relation Extraction. - Chonggang Lu; Richong Zhang; Kai Sun; Jaein Kim 003; Cunwang Zhang; Yongyi Mao (EMNLP, 2023)

Over-Training with Mixup May Hurt Generalization. - Zixuan Liu; Ziqiao Wang; Hongyu Guo; Yongyi Mao (ICLR, 2023)

On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. - Zhijie Nie; Richong Zhang; Yongyi Mao (ICLR, 2023)

Information-Theoretic Analysis of Unsupervised Domain Adaptation. - Ziqiao Wang; Yongyi Mao (ICLR, 2023)

Tighter Information-Theoretic Generalization Bounds from Supersamples. - Ziqiao Wang; Yongyi Mao (ICML, 2023)

Indoor-Outdoor Scene Recognition Method based on Adaboost-PNN. - Zhixian Cheng; Yongyi Mao; Chengkai Tian (ICNC-FSKD, 2023)

Improved Indoor Localization Algorithm Combining K-means Clustering Algorithm And Wasserstein Generative Adversarial Network Algorithm. - Chaosheng Li; Yongyi Mao (ICNC-FSKD, 2023)

Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. - Junfan Chen 001; Richong Zhang; Junchi Chen; Chunming Hu; Yongyi Mao (KDD, 2023)

Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds. - Ziqiao Wang; Yongyi Mao (NeurIPS, 2023)

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. - Kai Sun; Richong Zhang; Samuel Mensah; Nikolaos Aletras; Yongyi Mao; Xudong Liu 001 (WWW, 2023)

Word Sense Disambiguation by Refining Target Word Embedding. - Xuefeng Zhang; Richong Zhang; Xiaoyang Li 004; Fanshuang Kong; Junfan Chen 001; Samuel Mensah; Yongyi Mao (WWW, 2023)

AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. - Junfan Chen 001; Richong Zhang; Zheyan Luo; Chunming Hu; Yongyi Mao (CoRR, 2023)

On robust overfitting: adversarial training induced distribution matters. - Runzhi Tian; Yongyi Mao (CoRR, 2023)

Learning Implicit and Explicit Multi-task Interactions for Information Extraction. - Kai Sun; Richong Zhang; Samuel Mensah; Yongyi Mao; Xudong Liu 001 (ACM Trans. Inf. Syst., 2023)

Knowledge Base Embedding for Sampling-Based Prediction. - Richong Zhang; Jaein Kim 003; Jiajie Mei; Yongyi Mao (ACM Trans. Inf. Syst., 2023)

Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation. - Xuefeng Zhang; Richong Zhang; Junfan Chen 001; Jaein Kim 003; Yongyi Mao (IEEE Trans. Knowl. Data Eng., 2023)

A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification. - Junfan Chen 001; Richong Zhang; Jie Xu 007; Chunming Hu; Yongyi Mao (IEEE Trans. Knowl. Data Eng., 2023)

Information Bottleneck and Aggregated Learning. - Masoumeh Soflaei; Richong Zhang; Hongyu Guo; Ali Al-Bashabsheh; Yongyi Mao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. - Fanshuang Kong; Richong Zhang; Ziqiao Wang; Yongyi Mao (AAAI, 2024)

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. - Mingxin Li; Richong Zhang; Zhijie Nie; Yongyi Mao (AAAI, 2024)

On $f$-Divergence Principled Domain Adaptation: An Improved Framework. - Ziqiao Wang; Yongyi Mao (NeurIPS, 2024)

Generalization Bounds via Conditional f-Information. - Ziqiao Wang; Yongyi Mao (NeurIPS, 2024)

Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States. - Ziqiao Wang; Yongyi Mao (UAI, 2024)

Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. - Junfan Chen 001; Richong Zhang; Jiarui Wang; Chunming Hu; Yongyi Mao (WWW, 2024)

DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. - Junfan Chen 001; Richong Zhang; Yaowei Zheng; Qianben Chen; Chunming Hu; Yongyi Mao (WWW, 2024)

Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. - Xiyang Liu 001; Chunming Hu; Richong Zhang; Kai Sun; Samuel Mensah; Yongyi Mao (WWW, 2024)

Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice. - Haiyun He; Yepeng Liu; Ziqiao Wang; Yongyi Mao; Yuheng Bu (CoRR, 2024)

Generalization Bounds via Conditional f-Information. - Ziqiao Wang; Yongyi Mao (CoRR, 2024)

Algorithmic Stability Based Generalization Bounds for Adversarial Training. - Runzhi Tian; Yongyi Mao (ICLR, 2025)

Adversarial Training May Induce Deteriorating Distributions. - Runzhi Tian; Yongyi Mao (UAI, 2025)

Adversarial defenses via vector quantization. - Zhiyi Dong; Yongyi Mao (Neurocomputing, 2025)

Distributional Information Embedding: A Framework for Multi-bit Watermarking. - Haiyun He; Yepeng Liu; Ziqiao Wang; Yongyi Mao; Yuheng Bu (CoRR, 2025)

Generalization in Federated Learning: A Conditional Mutual Information Framework. - Ziqiao Wang; Cheng Long; Yongyi Mao (CoRR, 2025)

On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective. - Zhiyi Dong; Zixuan Liu; Yongyi Mao (CoRR, 2025)