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publications

CRF-based Transcription Factor Binding Site Finding.

Yupeng He, Yizhe Zhang, Guangyong Zheng and Chaochun Wei, BMC Genomics, 2012

Composition-based Classification of Short Metagenomic Sequences Elucidates the Landscapes of Taxonomic and Functional Enrichment of Microorganisms.

Jiemeng Liu, Haifeng Wang, Hongxing Yang, Yizhe Zhang, Jinfeng Wang, Fangqing Zhao and Ji Qi, Nucleic Acids Research, 2012

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Learning Dictionary with Spatial and Inter-dictionary Dependency.

Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin., Workshop on representation learning, NIPS, 2015

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MOST+: a Motif Finding Approach Combining Genomic Sequence and Heterogeneous Genome-wide Signatures.

Yizhe Zhang, Yupeng He and Chaochun Wei, BMC Genomics, 2015

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Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks.

Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin, IJCAI, 2016

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Dynamic Poisson Factor Analysis

Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin, ICDM, 2016

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Generating Text via Adversarial Training.

Yizhe Zhang, Zhe Gan, Lawrence Carin, Workshop on Adversarial Training, NIPS, 2016

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Laplacian Hamiltonian Monte Carlo

Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin, ECML, 2016

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Learning a Hybrid Architecture for Sequence Regression and Annotation.

Yizhe Zhang, Ricardo Henao, Jianling Zhong, Lawrence Carin, Alexander Hartemink, AAAI, 2016

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Stochastic Gradient MCMC with Stale Gradients.

Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin, NIPS, 2016

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Towards Unifying Hamiltonian Monte Carlo and Slice Sampling.

Yizhe Zhang, Xiangyu Wang, Changyou Chen, Lawrence Carin, NIPS, 2016

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

Kai Fan, Yizhe Zhang, Lawrence Carin, Katherine Heller, ICDM, 2016

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Adversarial Feature Matching for Text Generation.

Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Lawrence Carin, ICML, 2017

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Deconvolutional Paragraph Representation Learning.

Yizhe Zhang, Dinghan Shen, Guoyin Wang, Ricardo Henao, Zhe Gan, Lawrence Carin, NIPS, 2017

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Stochastic Gradient Monomial Gamma Sampler.

Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin, ICML, 2017

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Triangle Generative Adversarial Networks.

Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Lawrence Carin, NIPS, 2017

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Adversarial Text Generation via Feature-Mover’s Distance.

Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin, NIPS, 2018

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Deconvolutional Latent-Variable Model for Text Sequence Matching.

Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin, AAAI, 2018

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Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization.

Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan, NIPS, 2018

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Joint Embedding of Words and Labels for Text Classification.

Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao and Lawrence Carin, ACL, 2018

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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, ICML, 2018

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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 and Lawrence Carin, ACL, 2018

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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, AAAI, 2018

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Domain Adaptive Text Style Transfer.

Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun and Bill Dolan, EMNLP, 2019

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

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett and Sungjin Lee, WNGT, EMNLP, 2019

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Improving Sequence-to-SequeJointly Optimizing Diversity and Relevance in Neural Response Generation.

Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan, NAACL, 2019

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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, ICLR, 2019

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Improving Textual Network Embedding with Global Attention via Optimal Transport.

Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Yizhe Zhang and Lawrence Carin, ACL, 2019

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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, system demonstration, ACL, 2019

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Self-Enhanced Inverse Reinforcement Learning for Text Generation.

Ping Yu, Ruiyi Zhang, Chunyuan Li, Yizhe Zhang, Changyou Chen, Imitation, Intent, and Interaction(I3), ICML, 2019

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Structuring latent spaces for stylized response generation.

Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan, EMNLP, 2019

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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, ACL, 2019

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Towards coherent and cohesive long-form text generation.

Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Chris Brockett, Mengdi Wang, Jianfeng Gao, Workshop on Narrative Understanding, NAACL, 2019

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Unsupervised Dialogue Spectrum Generation for Log Dialogue Ranking.

Xinnuo Xu, Yizhe Zhang, Lars Liden and Sungjin Lee, SIGDIAL(Best paper nomination), 2019

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Contextual Re-Ranking with Behavior Aware Transformers.

Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft and Paul Bennett, SIGIR, 2020

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Complementary Auxiliary Classifiers for Label-Conditional Text Generation.

Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao, AAAI, 2020

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Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning.

Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin, AAAI, 2020

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Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou, ICLR, 2020

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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, system demonstration, ACL, 2020

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

Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng, ACL, 2020

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Improving Disentangled Text Representation Learning with Information Theoretical Guidance.

Pengyu Cheng, Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li and Lawrence Carin, ACL, 2020

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Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task

Xinnuo Xu, Yizhe Zhang, Lars Liden, Sungjin Lee, Interspeech, 2020

Weakly supervised cross-domain alignment with optimal transport Task

Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin, BMVC(oral presentation), 2020

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Contextual Text Style Transfer.

Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu, Findings of EMNLP, 2020

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

Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett and Bill Dolan, EMNLP, 2020

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Improving Text Generation with Student-Forcing Optimal Transport.

Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuhchen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang and Lawrence Carin, EMNLP, 2020

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

Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, Jianfeng Gao, EMNLP, 2020

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

Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan, EMNLP, 2020

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Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation

Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, JJ Liu, Lawrence Carins, ACCV, 2020

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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, AAAI, 2021

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

Ramakanth Pasunuru, Asli Celikyilmaz , Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao, AAAI, 2021

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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, EACL, 2021

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Contextualized perturbation for textual adversarial attack.

Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan, NAACL, 2021

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Consistent Dialogue Generation with Self-supervised Feature Learning.

Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan, SIGDIAL, 2021

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Finetuning Pretrained Transformers into RNNs. (Oral Presentation)

Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Yi Mao, Weizhu Chen, Noah A Smith, EMNLP, 2021

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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, AAAI, 2022

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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, ACL, 2022

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An Adversarially-Learned Turing Test for Dialog Generation Models

Xiang Gao, Yizhe Zhang, Michel Galley, Bill Dolan, ArXiv preprint, 2022

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Linearizing Transformer with Key-Value Memory

Yizhe Zhang, Deng Cai, ArXiv preprint, 2022

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Narrative Incoherence Detection.

Deng Cai, Yizhe Zhang, Yichen Huang, Wai Lam, Bill Dolan, ArXiv preprint, 2022

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What Makes Good In-Context Examples for GPT-3

Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen, ArXiv preprint, 2022

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PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model

Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua Susskind, Navdeep Jaitly, NeurIPS, 2023

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Matryoshka Diffusion Models

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M Susskind, Navdeep Jaitly, ICLR, 2023

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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, ICML, 2023

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All-Hands: 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, et al., ICLR, 2024

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

Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh Susskind, Shuangfei Zhai, ICLR, 2024

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Scaling Diffusion Language Models via Adaptation from Autoregressive Models

Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, et al., ICLR, 2024

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The Entity-Deduction Arena: A Playground for Probing the Conversational Reasoning and Planning Capabilities of LLMs

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly, ACL, 2024

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Executable Code Actions Elicit Better LLM Agents

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji, ICML, 2024

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Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind, NeurIPS, 2024

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Training Software Engineering Agents and Verifiers with SWE-Gym

Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang, ICML, 2025

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows

Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Angel Bautista, Josh Susskind, Navdeep Jaitly, NeurIPS, 2025

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Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua Susskind, Navdeep Jaitly, ICML, 2025

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DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang, arXiv preprint, 2025

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LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning

Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Nicklas Majamaki, Navdeep Jaitly, Yi-An Ma, Lianhui Qin, arXiv preprint, 2025

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