Changyou Chen

According to our database, Changyou Chen authored at least 146 papers between 2008 and 2024.

Collaborative distances:

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

2024

Discriminative Adversarial Unlearning.

Rohan Sharma, Shijie Zhou, Kaiyi Ji, Changyou Chen

CoRR, 2024

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints.

Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen

CoRR, 2024

2023

Automatic Essay Scoring Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses.

Yaman Kumar, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen

Dialogue Discourse, April, 2023

Behavior Optimized Image Generation.

Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Rajiv Ratn Shah, Changyou Chen, Zhiqiang Xu, Balaji Krishnamurthy

CoRR, 2023

Long-Term Memorability On Advertisements.

Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy

CoRR, 2023

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior.

Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy

CoRR, 2023

Learning Unnormalized Statistical Models via Compositional Optimization.

Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang

CoRR, 2023

Prompt Tuning based Adapter for Vision-Language Model Adaption.

Jingchen Sun, Jiayu Qin, Zihao Lin, Changyou Chen

CoRR, 2023

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels.

Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen

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

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.

Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li

Proceedings of the International Conference on Machine Learning, 2023

Learning Unnormalized Statistical Models via Compositional Optimization.

Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang

Proceedings of the International Conference on Machine Learning, 2023

Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?

Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen

Proceedings of the IEEE International Conference on Data Mining, 2023

ALCAP: Alignment-Augmented Music Captioner.

Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song

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

A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot.

Aanisha Bhattacharyya, Yaman Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen

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

Shifted Diffusion for Text-to-image Generation.

Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.

Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.

Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

AUC Maximization for Low-Resource Named Entity Recognition.

Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Persuasion Strategies in Advertisements.

Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution.

Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xinyi Peng, Xiang Zhou

IEEE Trans. Multim., 2022

Lafite2: Few-shot Text-to-Image Generation.

Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu

CoRR, 2022

Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines.

Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar Malyan, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen

CoRR, 2022

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective.

Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning.

Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow

Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

STT: Soft Template Tuning for Few-Shot Adaptation.

Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & Structure.

Yaman Kumar Singla, Jui Shah, Changyou Chen, Rajiv Ratn Shah

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios.

Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare

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

Towards Language-Free Training for Text-to-Image Generation.

Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Rethinking Deep Face Restoration.

Yang Zhao, Yu-Chuan Su, Chun-Te Chu, Yandong Li, Marius Renn, Yukun Zhu, Changyou Chen, Xuhui Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TiGAN: Text-Based Interactive Image Generation and Manipulation.

Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun

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

MINIMAL: Mining Models for Universal Adversarial Triggers.

Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

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

Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees.

Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen

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

2021

A Generic Approach for Enhancing GANs by Regularized Latent Optimization.

Yufan Zhou, Chunyuan Li, Changyou Chen, Jinhui Xu

CoRR, 2021

LAFITE: Towards Language-Free Training for Text-to-Image Generation.

Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun

CoRR, 2021

Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks.

Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah

CoRR, 2021

MINIMAL: Mining Models for Data Free Universal Adversarial Triggers.

Swapnil Parekh, Yaman Kumar Singla, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

CoRR, 2021

AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses.

Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen

CoRR, 2021

Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels.

Yufan Zhou, Changyou Chen, Jinhui Xu

CoRR, 2021

SDA: Improving Text Generation with Self Data Augmentation.

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

CoRR, 2021

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation.

Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen

CoRR, 2021

Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events.

Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen

CoRR, 2021

What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure.

Jui Shah, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah

CoRR, 2021

Unsupervised Hashing with Contrastive Information Bottleneck.

Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Meta-Learning with Neural Tangent Kernels.

Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu

Proceedings of the 9th International Conference on Learning Representations, 2021

MixKD: Towards Efficient Distillation of Large-scale Language Models.

Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin

Proceedings of the 9th International Conference on Learning Representations, 2021

Measurement of premixed propane combustion equivalence ratio based on flame image color and support vector machine.

Changyou Chen, Jiansheng Yang, Wen Shu, Peichi Tu

Proceedings of the ICCDA 2021: The 5th International Conference on Compute and Data Analysis, 2021

LIFI: Towards Linguistically Informed Frame Interpolation.

Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Roger Zimmermann

Proceedings of the IEEE International Conference on Acoustics, 2021

Rethinking Sentiment Style Transfer.

Ping Yu, Yang Zhao, Chunyuan Li, Changyou Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ReMP: Rectified Metric Propagation for Few-Shot Learning.

Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Unpaired Image-to-Image Translation via Latent Energy Transport.

Yang Zhao, Changyou Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Fair Federated Learning With Zero-Shot Data Augmentation.

Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring.

Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.

Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism.

Swapnil Parekh, Yaman Kumar Singla, Changyou Chen, Junyi Jessy Li, Rajiv Ratn Shah

CoRR, 2020

Graph Neural Networks with Composite Kernels.

Yufan Zhou, Jiayi Xian, Changyou Chen, Jinhui Xu

CoRR, 2020

Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition.

Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren

CoRR, 2020

Reward Constrained Interactive Recommendation with Natural Language Feedback.

Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin

CoRR, 2020

Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning.

Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen

CoRR, 2020

Decomposed Adversarial Learned Inference.

Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao

CoRR, 2020

Learning Manifold Implicitly via Explicit Heat-Kernel Learning.

Yufan Zhou, Changyou Chen, Jinhui Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Multi-type Mean Field Multi-agent Imitation Learning.

Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label.

Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Feature Quantization Improves GAN Training.

Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

Variance Reduction in Stochastic Particle-Optimization Sampling.

Jianyi Zhang, Yang Zhao, Changyou Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.

Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson

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

Bayesian Meta Sampling for Fast Uncertainty Adaptation.

Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen

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

Semantic Matching via Optimal Partial Transport.

Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin

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

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.

Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen

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

Structure-Aware Human-Action Generation.

Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning.

Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory.

Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Nested-Wasserstein Self-Imitation Learning for Sequence Generation.

Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Generative Semantic Hashing Enhanced via Boltzmann Machines.

Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen

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

Improving Adversarial Text Generation by Modeling the Distant Future.

Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

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

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.

Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen

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

Variational Adversarial Kernel Learned Imitation Learning.

Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong

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

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions.

Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen

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

2019

KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling.

Yufan Zhou, Changyou Chen, Jinhui Xu

CoRR, 2019

Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution.

Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xiang Zhou

CoRR, 2019

On Norm-Agnostic Robustness of Adversarial Training.

Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

CoRR, 2019

Topic-Guided Variational Autoencoders for Text Generation.

Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin

CoRR, 2019

Scalable Thompson Sampling via Optimal Transport.

Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin

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

Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution.

Chuangchuang Liu, Xianfang Sun, Changyou Chen, Paul L. Rosin, Yitong Yan, Longcun Jin, Xinyi Peng

IEEE Access, 2019

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning.

Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Certified Adversarial Robustness with Additive Noise.

Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.

Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin

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

Bayesian Uncertainty Matching for Unsupervised Domain Adaptation.

Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm.

Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Differentially Private Empirical Risk Minimization with Non-convex Loss Functions.

Di Wang, Changyou Chen, Jinhui Xu

Proceedings of the 36th International Conference on Machine Learning, 2019

InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks.

Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

PointCloud Saliency Maps.

Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Implicit Deep Latent Variable Models for Text Generation.

Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen

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

Document Hashing with Mixture-Prior Generative Models.

Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen

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

Scalable Thompson Sampling via Optimal Transport.

Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

On Connecting Stochastic Gradient MCMC and Differential Privacy.

Bai Li, Changyou Chen, Hao Liu, Lawrence Carin

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Adversarial Learning of a Sampler Based on an Unnormalized Distribution.

Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Distributionally Adversarial Attack.

Tianhang Zheng, Changyou Chen, Kui Ren

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Self-Adversarially Learned Bayesian Sampling.

Yang Zhao, Jianyi Zhang, Changyou Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Communication-Efficient Stochastic Gradient MCMC for Neural Networks.

Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Saliency Maps for Adversarial Point-Cloud Generation.

Tianhang Zheng, Changyou Chen, Junsong Yuan, Kui Ren

CoRR, 2018

Sequence Generation with Guider Network.

Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin

CoRR, 2018

Second-Order Adversarial Attack and Certifiable Robustness.

Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

CoRR, 2018

Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory.

Jianyi Zhang, Ruiyi Zhang, Changyou Chen

CoRR, 2018

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.

Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network.

Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Deep Q-Learning for Dry Stacking Irregular Objects.

Yifang Liu, Seyed Mahdi Shamsi, Le Fang, Changyou Chen, Nils Napp

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Policy Optimization as Wasserstein Gradient Flows.

Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin

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

Continuous-Time Flows for Efficient Inference and Density Estimation.

Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin

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

Learning Structural Weight Uncertainty for Sequential Decision-Making.

Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 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

2017

Towards Understanding Adversarial Learning for Joint Distribution Matching.

Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

CoRR, 2017

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching.

Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

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

Learning Structured Weight Uncertainty in Bayesian Neural Networks.

Shengyang Sun, Changyou Chen, Lawrence Carin

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.

Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes.

Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du

Int. J. Approx. Reason., 2016

Earliness-Aware Deep Convolutional Networks for Early Time Series Classification.

Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin

CoRR, 2016

Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling.

Kar Wai Lim, Changyou Chen, Wray L. Buntine

CoRR, 2016

Laplacian Hamiltonian Monte Carlo.

Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin

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

Deep Metric Learning with Data Summarization.

Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, 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

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models.

Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin

Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification.

Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization.

Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models.

Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks.

Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Differential Topic Models.

Changyou Chen, Wray L. Buntine, Nan Ding, Lexing Xie, Lan Du

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data.

Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators.

Changyou Chen, Nan Ding, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalable Deep Poisson Factor Analysis for Topic Modeling.

Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Bayesian Sampling Using Stochastic Gradient Thermostats.

Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel, Hartmut Neven

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Robust Bayesian Max-Margin Clustering.

Changyou Chen, Jun Zhu, Xinhua Zhang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Dependent Normalized Random Measures.

Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Non-Parametric Kernel Learning with robust pairwise constraints.

Changyou Chen, Junping Zhang, Xuefang He, Zhi-Hua Zhou

Int. J. Mach. Learn. Cybern., 2012

Sequential latent Dirichlet allocation.

Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen

Knowl. Inf. Syst., 2012

Theory of Dependent Hierarchical Normalized Random Measures

Changyou Chen, Wray L. Buntine, Nan Ding

CoRR, 2012

Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling.

Changyou Chen, Nan Ding, Wray L. Buntine

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process.

Changyou Chen, Lan Du, Wray L. Buntine

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Low-Resolution Gait Recognition.

Junping Zhang, Jian Pu, Changyou Chen, Rudolf Fleischer

IEEE Trans. Syst. Man Cybern. Part B, 2010

Distance Approximating Dimension Reduction of Riemannian Manifolds.

Changyou Chen, Junping Zhang, Rudolf Fleischer

IEEE Trans. Syst. Man Cybern. Part B, 2010

2009

Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition.

Changyou Chen, Junping Zhang, Rudolf Fleischer

Proceedings of the Advances in Biometrics, Third International Conference, 2009

2008

Low Resolution Gait Recognition with High Frequency Super Resolution.

Junping Zhang, Yuan Cheng, Changyou Chen

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008