Yizhe Zhang

According to our database, Yizhe Zhang authored at least 89 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation.

Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai

CoRR, 2024

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.

Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang

CoRR, 2024

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents.

Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig

CoRR, 2024

Improving GFlowNets for Text-to-Image Diffusion Alignment.

Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai

CoRR, 2024

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling.

Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind

CoRR, 2024

Many-to-many Image Generation with Auto-regressive Diffusion Models.

Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu

CoRR, 2024

How Far Are We from Intelligent Visual Deductive Reasoning?

Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly

CoRR, 2024

Executable Code Actions Elicit Better LLM Agents.

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data-free Distillation of Diffusion Models with Bootstrapping.

Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Matryoshka Diffusion Models.

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Divide-or-Conquer? Which Part Should You Distill Your LLM?

Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games.

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know.

Shangshang Zheng, He Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly

CoRR, 2023

The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs.

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

CoRR, 2023

BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping.

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh M. Susskind

CoRR, 2023

PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model.

Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stabilizing Transformer Training by Preventing Attention Entropy Collapse.

Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 2023

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation.

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Interactive Text Generation.

Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards More Efficient Insertion Transformer with Fractional Positional Encoding.

Zhisong Zhang, Yizhe Zhang, Bill Dolan

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Linearizing Transformer with Key-Value Memory Bank.

Yizhe Zhang, Deng Cai

CoRR, 2022

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges.

Shikib Mehri, Jinho Choi, Luis Fernando D'Haro, Jan Deriu, Maxine Eskénazi, Milica Gasic, Kallirroi Georgila, Dilek Hakkani-Tur, Zekang Li, Verena Rieser, Samira Shaikh, David R. Traum, Yi-Ting Yeh, Zhou Yu, Yizhe Zhang, Chen Zhang

CoRR, 2022

Linearizing Transformer with Key-Value Memory.

Yizhe Zhang, Deng Cai

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bridging the Training-Inference Gap for Dense Phrase Retrieval.

Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation.

Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

What Makes Good In-Context Examples for GPT-3?

Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen

Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling.

Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Joint Retrieval and Generation Training for Grounded Text Generation.

Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

CoRR, 2021

An Adversarially-Learned Turing Test for Dialog Generation Models.

Xiang Gao, Yizhe Zhang, Michel Galley, Bill Dolan

CoRR, 2021

SDA: Improving Text Generation with Self Data Augmentation.

Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen

CoRR, 2021

Contextualized Perturbation for Textual Adversarial Attack.

Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Finetuning Pretrained Transformers into RNNs.

Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Contrastive Multi-document Question Generation.

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Automatic Document Sketching: Generating Drafts from Analogous Texts.

Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Bill Dolan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Controllable Model of Grounded Response Generation.

Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization.

Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Narrative Incoherence Detection.

Deng Cai, Yizhe Zhang, Yichen Huang, Wai Lam, Bill Dolan

CoRR, 2020

Weakly supervised cross-domain alignment with optimal transport.

Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

CoRR, 2020

POINTER: Constrained Text Generation via Insertion-based Generative Pre-training.

Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan

CoRR, 2020

Contextual Re-Ranking with Behavior Aware Transformers.

Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task.

Xinnuo Xu, Yizhe Zhang, Lars Liden, Sungjin Lee

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation.

Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou

Proceedings of the 8th International Conference on Learning Representations, 2020

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training.

Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Text Generation with Student-Forcing Optimal Transport.

Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.

Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dialogue Response Ranking Training with Large-Scale Human Feedback Data.

Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextual Text Style Transfer.

Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Advancing weakly supervised cross-domain alignment with optimal transport.

Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

Proceedings of the 31st British Machine Vision Conference 2020, 2020

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation.

Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

INSET: Sentence Infilling with INter-SEntential Transformer.

Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance.

Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.

Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Complementary Auxiliary Classifiers for Label-Conditional Text Generation.

Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning.

Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

INSET: Sentence Infilling with Inter-sentential Generative Pre-training.

Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng

CoRR, 2019

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator.

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan

CoRR, 2019

Consistent Dialogue Generation with Self-supervised Feature Learning.

Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

CoRR, 2019

A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC.

Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin

Sci. China Inf. Sci., 2019

Unsupervised Dialogue Spectrum Generation for Log Dialogue Ranking.

Xinnuo Xu, Yizhe Zhang, Lars Liden, Sungjin Lee

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Jointly Optimizing Diversity and Relevance in Neural Response Generation.

Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improving Sequence-to-Sequence Learning via Optimal Transport.

Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin

Proceedings of the 7th International Conference on Learning Representations, 2019

Domain Adaptive Text Style Transfer.

Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Structuring Latent Spaces for Stylized Response Generation.

Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models.

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling.

Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models.

Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Textual Network Embedding with Global Attention via Optimal Transport.

Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A bird's-eye view on coherence, and a worm's-eye view on cohesion.

Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Mengdi Wang, Jianfeng Gao

CoRR, 2018

Adversarial Text Generation via Feature-Mover's Distance.

Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin

CoRR, 2018

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization.

Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Text Generation via Feature-Mover's Distance.

Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.

Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 35th International Conference on Machine Learning, 2018

Joint Embedding of Words and Labels for Text Classification.

Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.

Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deconvolutional Latent-Variable Model for Text Sequence Matching.

Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deconvolutional Paragraph Representation Learning.

Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Triangle Generative Adversarial Networks.

Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Feature Matching for Text Generation.

Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Gradient Monomial Gamma Sampler.

Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Laplacian Hamiltonian Monte Carlo.

Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling.

Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic Gradient MCMC with Stale Gradients.

Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks.

Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Dynamic Poisson Factor Analysis.

Yizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis.

Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning a Hybrid Architecture for Sequence Regression and Annotation.

Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2002

Model-based statistical sensor fusion for unexploded ordnance detection.

Leslie M. Collins, Yizhe Zhang, Lawrence Carin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002