Yizhe Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
122
Venues
35
Active years
2002–2026
Best venue rank
A*
Where they publish
- AMICCAI22 papers
- A*AAAI14 papers
- A*EMNLP14 papers
- A*ACL13 papers
- A*ICML8 papers
- A*ICLR7 papers
- AIMC4 papers
- ANAACL4 papers
- ABMVC3 papers
- AEACL2 papers
- A*CVPR2 papers
- AWACV2 papers
- BCBMS2 papers
- A*ICCV2 papers
- BVTC2 papers
- A*ICDM2 papers
- CASRU1 paper
- A*SIGCOMM1 paper
- A*VLDB1 paper
- BWISE1 paper
- A*CHI1 paper
- A*SP1 paper
- AACSAC1 paper
- CHealthCom1 paper
- CIC3K1 paper
- ADATE1 paper
- BACCV1 paper
- AInterspeech1 paper
- BIWCMC1 paper
- BPIMRC1 paper
- A*SIGIR1 paper
- BICCCN1 paper
- BSIGdial1 paper
- A*IJCAI1 paper
- CIGARSS1 paper
Papers
122 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Decoupling Continual Semantic Segmentation. | Yifu Guo, Yuquan Lu, Wentao Zhang, Zishan Xu, Dexia Chen, Siyu Zhang, Yizhe Zhang, Ruixuan Wang |
| 2026 | AAAI | Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation. | Kaiwen Huang, Yizhe Zhang, Yi Zhou, Tianyang Xu, Tao Zhou |
| 2026 | AAAI | Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits? | Yizhe Zhang |
| 2025 | ACL | Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models. | Yifu Qiu, Varun R. Embar, Yizhe Zhang, Navdeep Jaitly, Shay B. Cohen, Benjamin Han |
| 2025 | ASRU | ChipChat: Low-Latency Cascaded Conversational Agent in MLX. | Tatiana Likhomanenko, Luke Carlson, Richard He Bai, Zijin Gu, Han Tran, Zakaria Aldeneh, Yizhe Zhang, Ruixiang Zhang, Huangjie Zheng, Navdeep Jaitly |
| 2025 | ICLR | OpenHands: 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, et al. |
| 2025 | ICLR | 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, Hao Peng, Lingpeng Kong |
| 2025 | ICLR | Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. | Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua M. Susskind, Shuangfei Zhai |
| 2025 | ICML | Training Software Engineering Agents and Verifiers with SWE-Gym. | Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang |
| 2025 | ICML | Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. | Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly |
| 2025 | IMC | Inside Certificate Chains Beyond Public Issuers: Structure and Usage Analysis from a Campus Network. | Hongying Dong, Yizhe Zhang, Hyeonmin Lee, Yixin Sun |
| 2025 | MICCAI | Text-Driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. | Kaiwen Huang, Yi Zhou, Huazhu Fu, Yizhe Zhang, Chen Gong, Tao Zhou |
| 2025 | MICCAI | Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos Using Spatiotemporal Consistency. | Yujia Li, Tao Zhou, Ruixuan Wang, Shuo Wang, Yizhe Zhang |
| 2025 | MICCAI | From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-Specific Medical Image Segmentation. | Qing Li, Yizhe Zhang, Shengxiao Yang, Qirong Li, Zian Wang, Junhong Liu, Haoyang Zhang, Shuo Wang, Chengyan Wang |
| 2025 | MICCAI | Hierarchical Spatio-Temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos. | Dongfang Wang, Jian Yang, Yizhe Zhang, Tao Zhou |
| 2025 | MICCAI | Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedback. | Yizhe Zhang |
| 2025 | NAACL | ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities. | Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Haoping Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang |
| 2025 | NAACL | 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 |
| 2025 | SIGCOMM | Scaling SCIERA: A Journey Through the Deployment of a Next-generation Network. | Franois Wirz, Marten Gartner, Jelte van Bommel, Elham Ehsani Moghadam, Grace H. Cimaszewski, Anxiao He, Yizhe Zhang, Henry Birge-Lee, Felix Kottmann, Cyrill Krhenbhl, Jonghoon Kwon, Kyveli Mavromati, Liang Wang, Daniel Bertolo, Marco Canini, Buseung Cho, Ronaldo A. Ferreira, Simon Peter Green, David Hausheer, Junbeom Hur, Xiaohua Jia, Heejo Lee, Prateek Mittal, Omo Oaiya, Chanjin Park, Adrian Perrig, Jerry Sobieski, Yixin Sun, Cong Wang, Klaas Wierenga |
| 2025 | VLDB | RISC-V Meets RDBMS: An Experimental Study of Database Performance on an Open Instruction Set Architecture. | Yizhe Zhang, Zhengyi Yang, Bocheng Han, Haoran Ning, Xin Cao, John Shepherd, Guanfeng Liu |
| 2025 | WISE | Counting the Number of Hop-Constrained Simple S-T Paths in Large Graphs. | Bocheng Han, Zebin Chen, Yi Ding, Weizhang Jiang, Yizhe Zhang, John Shepherd, Dong Wen, Zhengyi Yang |
| 2024 | ACL | Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games. | Yizhe Zhang, Jiarui Lu, Navdeep Jaitly |
| 2024 | ACL | 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 |
| 2024 | CHI | Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. | Yucheng Jin, Wanling Cai, Li Chen, Yizhe Zhang, Gavin Doherty, Tonglin Jiang |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization. | Yong Lin, Skyler Seto, Maartje ter Hoeve, Katherine Metcalf, Barry-John Theobald, Xuan Wang, Yizhe Zhang, Chen Huang, Tong Zhang |
| 2024 | ICLR | Matryoshka Diffusion Models. | Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly |
| 2024 | ICML | Data-free Distillation of Diffusion Models with Bootstrapping. | Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind |
| 2024 | ICML | Executable Code Actions Elicit Better LLM Agents. | Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji |
| 2024 | IMC | Mutual TLS in Practice: A Deep Dive into Certificate Configurations and Privacy Issues. | Hongying Dong, Yizhe Zhang, Hyeonmin Lee, Kevin Du, Guancheng Tu, Yixin Sun |
| 2024 | IMC | Exploring the Ecosystem of DNS HTTPS Resource Records: An End-to-End Perspective. | Hongying Dong, Yizhe Zhang, Hyeonmin Lee, Shumon Huque, Yixin Sun |
| 2024 | MICCAI | An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation. | Qing Li, Yizhe Zhang, Yan Li, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang, Chengyan Wang |
| 2024 | MICCAI | TSBP: Improving Object Detection in Histology Images via Test-Time Self-guided Bounding-Box Propagation. | Tingting Yang, Liang Xiao, Yizhe Zhang |
| 2024 | MICCAI | EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis. | Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang |
| 2024 | MICCAI | Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation. | Yizhe Zhang, Tao Zhou, Qiang Chen, Qi Dou, Shuo Wang |
| 2024 | MICCAI | TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. | Yiming Zhao, Yi Zhou, Yizhe Zhang, Ye Wu, Tao Zhou |
| 2024 | SP | Intercepting Bluetooth Traffic from Wearable Health Devices. | Qi Liu, Yizhe Zhang, Yixin Sun |
| 2023 | ACSAC | Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks. | Yizhe Zhang, Hongying Dong, Alastair Nottingham, Molly Buchanan, Donald E. Brown, Yixin Sun |
| 2023 | EACL | Towards More Efficient Insertion Transformer with Fractional Positional Encoding. | Zhisong Zhang, Yizhe Zhang, Bill Dolan |
| 2023 | EMNLP | Interactive Text Generation. | Felix Faltings, Michel Galley, Kiant Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan |
| 2023 | HealthCom | MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy. | Zhang Zhang, Xizhe Wang, Shuijiao Chen, Xiaowei Liu, Qilei Chen, Yizhe Zhang, Yu Cao, Benyuan Liu |
| 2023 | IC3K | Development of an OWL Ontology Based on the Function-Oriented System Architecture to Support Data Synchronization Between SysML and Domain Models. | Yizhe Zhang, Georg Jacobs, Jia Zhao, Joerg K. Berroth, Gregor Hoepfner |
| 2023 | ICLR | f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. | Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel ngel Bautista, Joshua M. Susskind |
| 2023 | ICML | 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 |
| 2023 | IMC | Behind the Scenes: Uncovering TLS and Server Certificate Practice of IoT Device Vendors in the Wild. | Hongying Dong, Hao Shu, Vijay Prakash, Yizhe Zhang, Muhammad Talha Paracha, David R. Choffnes, Santiago Torres-Arias, Danny Yuxing Huang, Yixin Sun |
| 2023 | MICCAI | GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis. | Yizhe Zhang, Danny Z. Chen |
| 2023 | MICCAI | RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. | Yizhe Zhang, Shuo Wang, Yejia Zhang, Danny Z. Chen |
| 2023 | MICCAI | Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model. | Yizhe Zhang, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen |
| 2022 | AAAI | 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 |
| 2022 | ACL | 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 |
| 2022 | CVPR | Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device. | Hyojin Park, Alan Yessenbayev, Tushar Singhal, Navin Kumar Adhikari, Yizhe Zhang, Shubhankar Mangesh Borse, Hong Cai, Frank Mayer, Balaji Calidas, Nilesh Prasad Pandey, Fei Yin, Fatih Porikli |
| 2022 | EMNLP | Bridging the Training-Inference Gap for Dense Phrase Retrieval. | Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang |
| 2022 | EMNLP | Linearizing Transformer with Key-Value Memory. | Yizhe Zhang, Deng Cai |
| 2022 | MICCAI | Data-Driven Deep Supervision for Skin Lesion Classification. | Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen |
| 2022 | MICCAI | Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. | Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen |
| 2022 | WACV | AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. | Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli |
| 2022 | WACV | Perceptual Consistency in Video Segmentation. | Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli |
| 2021 | AAAI | Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. | Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao |
| 2021 | AAAI | 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 |
| 2021 | ACL | Automatic Document Sketching: Generating Drafts from Analogous Texts. | Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Bill Dolan |
| 2021 | BMVC | HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. | Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli |
| 2021 | BMVC | X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. | Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli |
| 2021 | CVPR | InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. | Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli |
| 2021 | DATE | Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. | Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jrg Henkel, Andreas Herkersdorf |
| 2021 | EACL | Contrastive Multi-document Question Generation. | Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan |
| 2021 | EMNLP | Finetuning Pretrained Transformers into RNNs. | Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith |
| 2021 | MICCAI | kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. | Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen |
| 2021 | NAACL | Contextualized Perturbation for Textual Adversarial Attack. | Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan |
| 2020 | AAAI | Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. | Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin |
| 2020 | AAAI | Complementary Auxiliary Classifiers for Label-Conditional Text Generation. | Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao |
| 2020 | AAAI | An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. | Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen |
| 2020 | ACCV | Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. | Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin |
| 2020 | ACL | Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. | Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin |
| 2020 | ACL | INSET: Sentence Infilling with INter-SEntential Transformer. | Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng |
| 2020 | ACL | 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 |
| 2020 | BMVC | 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 |
| 2020 | CBMS | InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. | Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen |
| 2020 | CBMS | A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation. | Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, Danny Ziyi Chen |
| 2020 | EMNLP | Contextual Text Style Transfer. | Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu |
| 2020 | EMNLP | Dialogue Response Ranking Training with Large-Scale Human Feedback Data. | Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. | Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan |
| 2020 | ICLR | Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. | Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou |
| 2020 | Interspeech | Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task. | Xinnuo Xu, Yizhe Zhang, Lars Liden, Sungjin Lee |
| 2020 | IWCMC | Dynamic Spectrum Allocation by 5G Base Station. | Yizhe Zhang, Dazhi He, Wen He, Yin Xu, Yunfeng Guan, Wenjun Zhang |
| 2020 | PIMRC | Bandit Learning-based Service Placement and Resource Allocation for Mobile Edge Computing. | Wen He, Dazhi He, Yihang Huang, Yizhe Zhang, Yin Xu, Yunfeng Guan, Wenjun Zhang |
| 2020 | SIGIR | Contextual Re-Ranking with Behavior Aware Transformers. | Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett |
| 2019 | AAAI | Biomedical Image Segmentation via Representative Annotation. | Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen |
| 2019 | AAAI | A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. | Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen |
| 2019 | ACL | 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 |
| 2019 | ACL | 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 |
| 2019 | ACL | 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 |
| 2019 | EMNLP | Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. | Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee |
| 2019 | EMNLP | Structuring Latent Spaces for Stylized Response Generation. | Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan |
| 2019 | EMNLP | Domain Adaptive Text Style Transfer. | Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun |
| 2019 | ICCCN | Advances in Reliable File-Stream Multicasting over Multi-Domain Software Defined Networks (SDN). | Yuanlong Tan, Shuoshuo Chen, Steve Emmerson, Yizhe Zhang, Malathi Veeraraghavan |
| 2019 | ICCV | Second-Order Non-Local Attention Networks for Person Re-Identification. | Bryan Bryan, Yuan Gong, Yizhe Zhang, Christian Poellabauer |
| 2019 | ICLR | 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 |
| 2019 | MICCAI | Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. | Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen |
| 2019 | MICCAI | HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. | Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen |
| 2019 | NAACL | Jointly Optimizing Diversity and Relevance in Neural Response Generation. | Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan |
| 2019 | VTC | Low Complexity Decoding Scheme of Raptor-Like LDPC Code in Sufficient SNR Scenarios. | Chao Zhang, Yin Xu, Na Gao, Dazhi He, Hao Ju, Genning Zhang, Yizhe Zhang, Yu Zhang, Wei Xie |
| 2019 | VTC | Dynamic Stackelberg Game for Service Auction of TV White Space in 5G. | Yizhe Zhang, Yin Xu, Dazhi He, Wen He, Yunfeng Guan, Jian Yu, Wenjun Zhang |
| 2019 | SIGdial | Unsupervised Dialogue Spectrum Generation for Log Dialogue Ranking. | Xinnuo Xu, Yizhe Zhang, Lars Liden, Sungjin Lee |
| 2018 | AAAI | Deconvolutional Latent-Variable Model for Text Sequence Matching. | Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin |
| 2018 | AAAI | 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 |
| 2018 | ACL | 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 |
| 2018 | ACL | 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 |
| 2018 | ICML | 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 |
| 2017 | ICML | Stochastic Gradient Monomial Gamma Sampler. | Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin |
| 2017 | ICML | Adversarial Feature Matching for Text Generation. | Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin |
| 2017 | MICCAI | Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. | Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen |
| 2017 | MICCAI | Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. | Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen |
| 2016 | AAAI | Learning a Hybrid Architecture for Sequence Regression and Annotation. | Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink |
| 2016 | ICDM | Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. | Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller |
| 2016 | ICDM | Dynamic Poisson Factor Analysis. | Yizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin |
| 2016 | IJCAI | Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. | Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin |
| 2016 | MICCAI | 3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut. | Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen |
| 2015 | MICCAI | Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning. | Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen |
| 2013 | ICCV | Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition. | Yizhe Zhang, Ming Shao, Edward K. Wong, Yun Fu |
| 2002 | IGARSS | Model-based statistical sensor fusion for unexploded ordnance detection. | Leslie M. Collins, Yizhe Zhang, Lawrence Carin |