| 2026 | AAAI | Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy. | Xiang Li, Yuan Cao, Zhongying Zhao, Guoqing Chao, Yanwei Yu |
| 2026 | AAAI | Automatic Channel Pruning by Searching with Structure Embedding for Hash Network. | Zifan Liu, Yuan Cao, Yifan Sun, Yanwei Yu, Heng Qi |
| 2026 | AAAI | Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs. | Zhongjie Shi, Puyu Wang, Chenyang Zhang, Yuan Cao |
| 2026 | AAAI | Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning. | Yanwei Yu, Hong Xia, Shaoxuan Gu, Xingyu Zhao, Dongliang Chen, Yuan Cao |
| 2026 | AAAI | Proxy Zero-Shot Hashing with Multimodal Fusion via Stable Diffusion. | Hui Zhang, Weikang Gao, Tao Yang, Yuan Cao |
| 2026 | AAAI | TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space. | Xiao Zhang, Xingyu Zhao, Yuan Cao, Bin Wang, Guiyuan Jiang, Yanwei Yu |
| 2026 | ACL | Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. | Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas |
| 2026 | ISCAS | Live Demonstration: A 0.787pJ/bit, 25 Mbps True Random Number Generator based on Analog Chaotic Tent Map. | Ruiqi Bao, Yuan Cao, Zheng Wan, Zhao Huang, Guangjun Yin |
| 2026 | ISCAS | An Efficient Sine/Cosine Design Using Piecewise Quadratic Approximation for FOC Applications. | Yitong Wang, Yuan Gao, Yuan Cao, Jianjun Zhuang, Zhao Huang, Rongkai Pan, Jing Tian |
| 2026 | WWW | Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation. | Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, Weiping Tu |
| 2026 | WWW | ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. | Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu |
| 2025 | AAAI | Deep Graph Online Hashing for Multi-Label Image Retrieval. | Yuan Cao, Xiangru Chen, Zifan Liu, Wenzhe Jia, Fanlei Meng, Jie Gui |
| 2025 | AAAI | Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization. | Haozhi Fan, Yuan Cao |
| 2025 | AISTATS | Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons. | Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki |
| 2025 | AISTATS | On the Power of Multitask Representation Learning with Gradient Descent. | Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu |
| 2025 | CEC | Memory-Enhanced Evolutionary Algorithm for Fast Multi- and Many-Objective Optimization. | Yicun Hua, Yang Jiang, Yuan Cao, Yan Xiao |
| 2025 | HCI | Alleviating Factors of Loneliness in Elderly People Living in Cities Assisted by Smart Homes: The Role of Enhancing Self-worth. | Jiayi Li, Yuan Cao, Junjie Chu |
| 2025 | ICASSP | A Privacy-Preserving Cross-Modal Retrieval Scheme Based on CLIP and Deep Hashing. | Yuan Cao, Hui Zhang, Xinzheng Shang |
| 2025 | ICDE | Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration. | Hong Xia, Xiao Zhang, Yuan Cao, Lei Cao, Yanwei Yu, Junyu Dong |
| 2025 | ICLR | On the Feature Learning in Diffusion Models. | Andi Han, Wei Huang, Yuan Cao, Difan Zou |
| 2025 | ICLR | Transformer Learns Optimal Variable Selection in Group-Sparse Classification. | Chenyang Zhang, Xuran Meng, Yuan Cao |
| 2025 | MICCAI | Multi-Modal MRI Fusion for Liver Fibrosis Staging and Semi-Supervised Pipeline for Liver Segmentation. | Lida Yang, Minlu Cao, Yuan Cao, Xuecheng Fang, Wei Chen, Jax Luo, Xu Qiao |
| 2025 | SIGIR | Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation. | Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji |
| 2024 | AAAI | Taxonomy Driven Fast Adversarial Training. | Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao |
| 2024 | CIKM | Hypergraph Hash Learning for Efficient Trajectory Similarity Computation. | Yuan Cao, Lei Li, Xiangru Chen, Xue Xu, Zuojin Huang, Yanwei Yu |
| 2024 | ECCV | IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers. | Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan L. Yuille, Jiahui Yu |
| 2024 | ICASSP | Learn to Cluster Faces with Better Subgraphs. | Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang |
| 2024 | ICASSP | Retrieval Augmented End-to-End Spoken Dialog Models. | Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey |
| 2024 | ICML | Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data. | Xuran Meng, Difan Zou, Yuan Cao |
| 2024 | ICPADS | Self-supervised Adversarial Hashing for Large-scale Image Retrieval. | Yuan Cao, Xue Xu, Junwei Liu, Xiangru Chen |
| 2024 | ICRA | RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. | Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao |
| 2024 | ISSTA | Guardian: A Runtime Framework for LLM-Based UI Exploration. | Dezhi Ran, Hao Wang, Zihe Song, Mengzhou Wu, Yuan Cao, Ying Zhang, Wei Yang, Tao Xie |
| 2024 | NAACL | Can Public Large Language Models Help Private Cross-device Federated Learning? | Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer |
| 2023 | AAAI | Fast Online Hashing with Multi-Label Projection. | Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui |
| 2023 | AAAI | Graph Structure Learning on User Mobility Data for Social Relationship Inference. | Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong |
| 2023 | ASRU | SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. | Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu |
| 2023 | COLT | The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks. | Yuan Cao, Difan Zou, Yuanzhi Li, Quanquan Gu |
| 2023 | EMNLP | MUX-PLMs: Data Multiplexing for High-throughput Language Models. | Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan |
| 2023 | EMNLP | AnyTOD: A Programmable Task-Oriented Dialog System. | Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, Yonghui Wu |
| 2023 | ETS | Online Reliability Evaluation Design: Select Reliable CRPs for Arbiter PUF and Its Variants. | Chaofang Ma, Jianan Mu, Jing Ye, Shuai Chen, Yuan Cao, Huawei Li, Xiaowei Li |
| 2023 | ICA3PP | Generative Adversarial Network Based Asymmetric Deep Cross-Modal Unsupervised Hashing. | Yuan Cao, Yaru Gao, Na Chen, Jiacheng Lin, Sheng Chen |
| 2023 | ICA3PP | Deep Hash Learning of Feature-Invariant Representation for Single-Label and Multi-label Retrieval. | Yuan Cao, Xinzheng Shang, Junwei Liu, Chengzhi Qian, Sheng Chen |
| 2023 | ICASSP | Mutual Information Based Reweighting for Precipitation Nowcasting. | Yuan Cao, Danchen Zhang, Xin Zheng, Hongming Shan, Junping Zhang |
| 2023 | ICLR | How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study. | Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu |
| 2023 | ICLR | ReAct: Synergizing Reasoning and Acting in Language Models. | Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, Yuan Cao |
| 2023 | ICLR | Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization. | Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu |
| 2023 | ICLR | Understanding Train-Validation Split in Meta-Learning with Neural Networks. | Xinzhe Zuo, Zixiang Chen, Huaxiu Yao, Yuan Cao, Quanquan Gu |
| 2023 | ICML | The Benefits of Mixup for Feature Learning. | Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu |
| 2023 | ICPADS | Generative Enhancement-based Similarity Prediction Hashing for Image Retrieval. | Yuan Cao, Fanlei Meng, Xiangyu Wu, Zijie Wang |
| 2023 | Interspeech | Speech Aware Dialog System Technology Challenge (DSTC11). | Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda |
| 2023 | UAI | Benign Overfitting in Adversarially Robust Linear Classification. | Jinghui Chen, Yuan Cao, Quanquan Gu |
| 2022 | AAAI | SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. | Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu |
| 2022 | ACL | Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. | Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey |
| 2022 | ASPDAC | A Voltage Template Attack on the Modular Polynomial Subtraction in Kyber. | Jianan Mu, Yixuan Zhao, Zongyue Wang, Jing Ye, Junfeng Fan, Shuai Chen, Huawei Li, Xiaowei Li, Yuan Cao |
| 2022 | EMNLP | Knowledge-grounded Dialog State Tracking. | Dian Yu, Mingqiu Wang, Yuan Cao, Laurent El Shafey, Izhak Shafran, Hagen Soltau |
| 2022 | ICASSP | Hybrid Weighting Loss for Precipitation Nowcasting from Radar Images. | Yuan Cao, Lei Chen, Danchen Zhang, Leiming Ma, Hongming Shan |
| 2022 | ICLR | SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. | Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao |
| 2022 | ICONIP | Nearest Neighbor Classifier with Margin Penalty for Active Learning. | Yuan Cao, Zhiqiao Gao, Jie Hu, Mingchuan Yang, Jinpeng Chen |
| 2022 | IJCAI | On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration. | Di Jiang, Yuan Cao, Qiang Yang |
| 2022 | NAACL | Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue. | Raghav Gupta, Harrison Lee, Jeffrey Zhao, Yuan Cao, Abhinav Rastogi, Yonghui Wu |
| 2022 | NAACL | Unsupervised Slot Schema Induction for Task-oriented Dialog. | Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau |
| 2021 | EMNLP | Effective Sequence-to-Sequence Dialogue State Tracking. | Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang, Yuan Cao, Yonghui Wu |
| 2021 | ICASSP | Echo State Speech Recognition. | Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath |
| 2021 | ICLR | The geometry of integration in text classification RNNs. | Kyle Aitken, Vinay Venkatesh Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan |
| 2021 | ICLR | How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? | Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu |
| 2021 | ICLR | Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. | Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao |
| 2021 | ICML | Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins. | Spencer Frei, Yuan Cao, Quanquan Gu |
| 2021 | ICML | Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise. | Spencer Frei, Yuan Cao, Quanquan Gu |
| 2021 | IJCAI | Towards Understanding the Spectral Bias of Deep Learning. | Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu |
| 2021 | IJCAI | A Comprehensive Survey on Image Dehazing Based on Deep Learning. | Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao |
| 2021 | NSS | Deep Cross-Modal Supervised Hashing Based on Joint Semantic Matrix. | Na Chen, Yuan Cao, Chao Liu |
| 2020 | AAAI | Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks. | Yuan Cao, Quanquan Gu |
| 2020 | ACL | Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. | Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu |
| 2020 | AISTATS | Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization. | Dongruo Zhou, Yuan Cao, Quanquan Gu |
| 2020 | AMTA | Sample Selection for Large-scale MT Discriminative Training. | Yuan Cao, Sanjeev Khudanpur |
| 2020 | ICASSP | Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior. | Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu |
| 2020 | ICASSP | Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis. | Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu |
| 2020 | IJCAI | Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. | Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu |
| 2020 | ISCAS | A 30fJ/b Current-Biased Inverter Based RO TRNG with High Temperature and Supply Voltage Stabilities. | Shengquan Liang, Wenhan Zheng, Yuan Cao, Xiaojin Zhao |
| 2020 | IUI | DUES-Adapt: Exploring Distributed User Experience With Neural UI Adaptation. | Ran Ju, Xingchen Zhou, Bo Xu, Weiqing Liang, Wanyi Yang, Yuan Cao, Eryan Zhang, Ronggen Li, Yinghao Li, Ning Ding, Li Li, Ru Zhang, Dongliang Liu |
| 2019 | ACL | Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B. | Jiaming Luo, Yuan Cao, Regina Barzilay |
| 2019 | APCC | Optimal Waveform Design for Dual-functional Communication-Navigation System. | Peng Cheng, Feng Yang, Yuan Cao, Lianghui Ding, Cheng Zhi |
| 2019 | APCC | A Priority-Enhanced Slot Allocation MAC Protocol for Industrial Wireless Sensor Networks. | Leiyang Liu, Yuan Cao, Lianghui Ding, Feng Yang, Liang Qian, Cheng Zhi |
| 2019 | ICASSP | Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation. | Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu |
| 2019 | ICLR | Hierarchical Generative Modeling for Controllable Speech Synthesis. | Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang |
| 2019 | ISCAS | High-Speed True Random Number Generator Based on Differential Current Starved Ring Oscillators with Improved Thermal Stability. | Kai Wang, Yuan Cao, Chip-Hong Chang, Xiaoli Ji |
| 2019 | ISCAS | A Reliable Physical Unclonable Function Based on Differential Charging Capacitors. | Hang Yuan, Wei Guo, Chip-Hong Chang, Yuan Cao, Shaojun Wei, Shouyi Yin, Chenchen Deng, Leibo Liu, Wei Ge, Fan Zhang |
| 2019 | ISCAS | A Highly Reliable Physical Unclonable Function Based on 2T Voltage Reference and Diode-Clamped Comparator. | Qiang Zhao, Xiaojin Zhao, Yuan Cao |
| 2019 | KDD | Gmail Smart Compose: Real-Time Assisted Writing. | Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu |
| 2018 | EMNLP | Training Deeper Neural Machine Translation Models with Transparent Attention. | Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu |
| 2018 | ICCCN | A Fully Digital Physical Unclonable Function Based Temperature Sensor for Secure Remote Sensing. | Yuan Cao, Yunyi Guo, Benyu Liu, Wei Ge, Min Zhu, Chip-Hong Chang |
| 2018 | ICML | The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference. | Hao Lu, Yuan Cao, Junwei Lu, Han Liu, Zhaoran Wang |
| 2018 | ISCAS | A Sub-pico Joules Per Bit Robust Physical Unclonable Function Based on Subthreshold Voltage References. | Yuan Cao, Chip-Hong Chang, Wenhan Zheng, Xiaojin Zhao |
| 2017 | DASC | Facilitating Reproducible Computing via Scientific Workflows for Modelling and Data Integration. | Yuan Cao, Yao Liang |
| 2017 | IECON | Analysis of linear oscillating motor position output dynamic performance with external force load. | Yuan Cao, Zongxia Jiao, Tianyi Wang, Lu Zhang, Liang Yan, Xiaofeng Ding |
| 2017 | IECON | A full-dq based adaptive virtual impedance compensation in virtual power frame for droop-controlled parallel inverters under unbalanced conditions. | Yuan Cao, Zhen Li, Zelun Lu, Zhen Chen, Xiangdong Liu |
| 2017 | ISCAS | A novel smoothness-based interpolation algorithm for division of focal plane Polarimeters. | Jieyun Zhang, Wenbin Ye, Ashfaq Ahmed, Zhurui Qiu, Yuan Cao, Xiaojin Zhao |
| 2017 | MICCAI | A Hybrid CNN Feature Model for Pulmonary Nodule Differentiation Task. | Tingting Zhao, Huafeng Wang, Lihong Li, Yifang Qi, Haoqi Gao, Fangfang Han, Zhengrong Liang, Yanmin Qi, Yuan Cao |
| 2016 | ISCAS | An energy-efficient subthreshold level shifter with a wide input voltage range. | Yuan Cao, Wenbin Ye, Xiaojin Zhao, Peigang Deng |
| 2016 | ISCAS | A compact ultra-low power physical unclonable function based on time-domain current difference measurement. | Shibang Lin, Yuan Cao, Xiaojin Zhao, Xiao Wang, Xiaofang Pan |
| 2016 | TrustCom | Multiple Query-Independent Values Based Asymmetric Ranking for Approximate Nearest Neighbor Search. | Yuan Cao, Heng Qi, Keqiu Li, Milos Stojmenovic |
| 2015 | APWEB | Spare Part Demand Prediction Based on Context-Aware Matrix Factorization. | Jianwei Ding, Yingbo Liu, Yuan Cao, Li Zhang, Jianmin Wang |
| 2015 | SNPD | Various "aaS" of everything as a service. | Yucong Duan, Yuan Cao, Xiaobing Sun |
| 2014 | ACL | Online Learning in Tensor Space. | Yuan Cao, Sanjeev Khudanpur |
| 2014 | MICCAI | A Novel Approach on the Colon Wall Segmentation and Its' Application. | Huafeng Wang, Wenfeng Song, Lihong Li, Yuan Cao, Haixia Pan, Ming Ma, Jiang Huang, Guangming Mao, Zhengrong Liang |
| 2014 | MICCAI | A Novel Minimal Surface Overlay Model for the Whole Colon Wall Segmentation. | Huafeng Wang, Wenfeng Song, Katherine Wei, Yuan Cao, Haixia Pan, Ming Ma, Jiang Huang, Guangming Mao, Zhengrong Liang |
| 2013 | ISCAS | Cluster-based distributed active current timer for hardware Trojan detection. | Yuan Cao, Chip-Hong Chang, Shoushun Chen |
| 2012 | ICASSP | Semi-supervised discriminative language modeling for Turkish ASR. | Arda elebi, Hasim Sak, Erin Dikici, Murat Saraclar, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Kenji Sagae, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | ICASSP | Hallucinated n-best lists for discriminative language modeling. | Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | ICASSP | Continuous space discriminative language modeling. | Puyang Xu, Sanjeev Khudanpur, Maider Lehr, Emily Tucker Prud'hommeaux, Nathan Glenn, Damianos Karakos, Brian Roark, Kenji Sagae, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | Interspeech | Deriving conversation-based features from unlabeled speech for discriminative language modeling. | Damianos Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Daniel M. Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley |
| 2012 | ISNN | A Hierarchical Neural Network Architecture for Classification. | Jing Wang, Haibo He, Yuan Cao, Jin Xu, Dongbin Zhao |
| 2012 | WCNC | Exploring passenger dynamics and connectivities in Beijing underground via bluetooth networks. | Rina Wu, Yuan Cao, Chi Harold Liu, Pan Hui, Li Li, Erwu Liu |
| 2011 | ICIG | Multi-focus Image Fusion by Nonsubsampled Shearlet Transform. | Yuan Cao, Shutao Li, Jianwen Hu |
| 2011 | IWCMC | Recognizing the levy-walk nature of vehicle mobility. | Yuan Cao, Yong Li, Jingyi Zhou, Depeng Jin, Li Su, Lieguang Zeng |
| 2011 | VTC | Integrating Forwarding and Replication in DTN Routing: A Social Network Perspective. | Yong Li, Yuan Cao, Li Su, Depeng Jin, Lieguang Zeng |
| 2010 | ICNC | Automatic incident detection algorithm based on support vector machine. | Lairong Chen, Yuan Cao, Ronghua Ji |
| 2009 | IJCNN | A novel portfolio optimization method for foreign currency investment. | Yuan Cao, Haibo He, Rajarathnam Chandramouli |
| 2009 | IJCNN | DensityRank: A novel feature ranking method based on kernel estimation. | Yuan Cao, Haibo He, Xiaoping Shen |
| 2008 | IJCNN | Learning from testing data: A new view of incremental semi-supervised learning. | Yuan Cao, Haibo He |
| 2008 | ISNN | A Boost Voting Strategy for Knowledge Integration and Decision Making. | Haibo He, Yuan Cao, Jinyu Wen, Shijie Cheng |
| 2006 | Broadnets | Multi-granular Stream Optical Burst Switching. | Oliver Yu, Ming Liao, Yuan Cao |
| 2006 | GRC | A new optimization method based on restructuring penalty function for solving constrained minimization problems. | Liu Zijun, Baiquan Lu, Yuan Cao |
| 2005 | GLOBECOM | Mathematical formulation of optical multicast with loss-balanced light-forest. | Oliver Yu, Yuan Cao |