Changyou Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
94
Venues
21
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*AAAI14 papers
- A*ICLR12 papers
- A*ICML12 papers
- A*CVPR9 papers
- A*EMNLP9 papers
- AAISTATS9 papers
- A*ACL8 papers
- A*ICCV3 papers
- A*ICDM3 papers
- A*IJCAI3 papers
- AWACV2 papers
- BCOLING1 paper
- MulticonferenceICASSP1 paper
- AMMSys1 paper
- ACIKM1 paper
- A*ECCV1 paper
- ANAACL1 paper
- AIROS1 paper
- AMICCAI1 paper
- AUAI1 paper
- BPRICAI1 paper
Papers
94 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models. | Aanisha Bhattacharyya, Susmit Agrawal, Yaman Kumar Singla, Tarun Ram Menta, Nikitha S. R., Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy |
| 2026 | ACL | Small Agents, Big Gains: Journey-Aware and Critic-Guided Simulation for Long-Horizon Shopping Dialogues. | Qing Ping, Changyou Chen, Binxuan Huang |
| 2026 | ACL | Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images. | Shijie Zhou, Jihyung Kil, Ming Li, Jiuxiang Gu, Curtis Wigington, Rajiv Jain, Changyou Chen, Ruiyi Zhang |
| 2025 | COLING | A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. | Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen |
| 2025 | ICASSP | CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition. | Jingchen Sun, Shaobo Han, Wataru Kohno, Changyou Chen |
| 2025 | ICCV | Multi-Modal Multi-Task Unified Embedding Model (M3T-UEM): A Task-Adaptive Representation Learning Framework. | Rohan Sharma, Changyou Chen, Feng-Ju Chang, Seongjun Yun, Xiaohu Xie, Rui Meng, Dehong Xu, Alejandro Mottini, Qingjun Cui |
| 2025 | ICCV | Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. | Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen |
| 2025 | ICLR | SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun |
| 2025 | ICLR | Measuring And Improving Engagement of Text-to-Image Generation Models. | Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy |
| 2025 | ICLR | Teaching Human Behavior Improves Content Understanding Abilities Of VLMs. | Somesh Kumar Singh, Harini S. I, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah, Veeky Baths, Balaji Krishnamurthy |
| 2025 | WACV | Long-Term Ad Memorability: Understanding & Generating Memorable Ads. | Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy |
| 2025 | WACV | Cross-Modal Feature Alignment and MMD Improve Robustness of Prompt Tuning. | Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande, Changyou Chen |
| 2024 | CVPR | TRINS: Towards Multimodal Language Models that Can Read. | Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun |
| 2024 | EMNLP | TextLap: Customizing Language Models for Text-to-Layout Planning. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen |
| 2024 | ICLR | Diffusion Models for Multi-Task Generative Modeling. | Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng |
| 2024 | ICLR | Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen |
| 2024 | ICLR | Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. | Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy |
| 2024 | ICLR | AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning. | Rohan Sharma, Kaiyi Ji, Zhiqiang Xu, Changyou Chen |
| 2023 | AAAI | 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 |
| 2023 | AAAI | AUC Maximization for Low-Resource Named Entity Recognition. | Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen |
| 2023 | ACL | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Shifted Diffusion for Text-to-image Generation. | Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | ALCAP: Alignment-Augmented Music Captioner. | Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song |
| 2023 | ICDM | 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 |
| 2023 | ICML | Learning Unnormalized Statistical Models via Compositional Optimization. | Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang |
| 2023 | ICML | 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 |
| 2022 | AAAI | Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. | Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen |
| 2022 | AAAI | MINIMAL: Mining Models for Universal Adversarial Triggers. | Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah |
| 2022 | AAAI | TiGAN: Text-Based Interactive Image Generation and Manipulation. | Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun |
| 2022 | CVPR | Rethinking Deep Face Restoration. | Yang Zhao, Yu-Chuan Su, Chun-Te Chu, Yandong Li, Marius Renn, Yukun Zhu, Changyou Chen, Xuhui Jia |
| 2022 | CVPR | 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 |
| 2022 | EMNLP | 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 |
| 2022 | ICDM | What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & Structure. | Yaman Kumar Singla, Jui Shah, Changyou Chen, Rajiv Ratn Shah |
| 2022 | ICDM | STT: Soft Template Tuning for Few-Shot Adaptation. | Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen |
| 2022 | MMSys | 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 |
| 2021 | ACL | 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 |
| 2021 | CIKM | Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. | Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Unpaired Image-to-Image Translation via Latent Energy Transport. | Yang Zhao, Changyou Chen |
| 2021 | CVPR | ReMP: Rectified Metric Propagation for Few-Shot Learning. | Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen |
| 2021 | EMNLP | Rethinking Sentiment Style Transfer. | Ping Yu, Yang Zhao, Chunyuan Li, Changyou Chen |
| 2021 | ICLR | MixKD: Towards Efficient Distillation of Large-scale Language Models. | Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin |
| 2021 | ICLR | Meta-Learning with Neural Tangent Kernels. | Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu |
| 2021 | IJCAI | Unsupervised Hashing with Contrastive Information Bottleneck. | Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Variational Adversarial Kernel Learned Imitation Learning. | Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong |
| 2020 | ACL | Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. | Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen |
| 2020 | ACL | 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 |
| 2020 | ACL | Generative Semantic Hashing Enhanced via Boltzmann Machines. | Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen |
| 2020 | AISTATS | Nested-Wasserstein Self-Imitation Learning for Sequence Generation. | Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin |
| 2020 | AISTATS | Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. | Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen |
| 2020 | ECCV | Structure-Aware Human-Action Generation. | Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Semantic Matching via Optimal Partial Transport. | Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin |
| 2020 | ICLR | Bayesian Meta Sampling for Fast Uncertainty Adaptation. | Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen |
| 2020 | ICLR | Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. | Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson |
| 2020 | ICML | Variance Reduction in Stochastic Particle-Optimization Sampling. | Jianyi Zhang, Yang Zhao, Changyou Chen |
| 2020 | ICML | Feature Quantization Improves GAN Training. | Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen |
| 2019 | AAAI | Communication-Efficient Stochastic Gradient MCMC for Neural Networks. | Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin |
| 2019 | AAAI | Self-Adversarially Learned Bayesian Sampling. | Yang Zhao, Jianyi Zhang, Changyou Chen |
| 2019 | AAAI | Distributionally Adversarial Attack. | Tianhang Zheng, Changyou Chen, Kui Ren |
| 2019 | AISTATS | Adversarial Learning of a Sampler Based on an Unnormalized Distribution. | Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin |
| 2019 | AISTATS | On Connecting Stochastic Gradient MCMC and Differential Privacy. | Bai Li, Changyou Chen, Hao Liu, Lawrence Carin |
| 2019 | AISTATS | Scalable Thompson Sampling via Optimal Transport. | Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin |
| 2019 | EMNLP | Document Hashing with Mixture-Prior Generative Models. | Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen |
| 2019 | EMNLP | Implicit Deep Latent Variable Models for Text Generation. | Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen |
| 2019 | ICCV | PointCloud Saliency Maps. | Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren |
| 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 | ICML | Differentially Private Empirical Risk Minimization with Non-convex Loss Functions. | Di Wang, Changyou Chen, Jinhui Xu |
| 2019 | IJCAI | Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. | Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang |
| 2019 | IJCAI | Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. | Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen |
| 2019 | NAACL | Topic-Guided Variational Auto-Encoder for Text Generation. | Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, 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 | AISTATS | Symmetric Variational Autoencoder and Connections to Adversarial Learning. | Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin |
| 2018 | AISTATS | Learning Structural Weight Uncertainty for Sequential Decision-Making. | Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin |
| 2018 | ICML | Continuous-Time Flows for Efficient Inference and Density Estimation. | Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin |
| 2018 | ICML | Policy Optimization as Wasserstein Gradient Flows. | Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin |
| 2018 | IROS | Deep Q-Learning for Dry Stacking Irregular Objects. | Yifang Liu, Seyed Mahdi Shamsi, Le Fang, Changyou Chen, Nils Napp |
| 2018 | MICCAI | 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 |
| 2018 | UAI | A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. | Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen |
| 2017 | ACL | Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. | Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin |
| 2017 | AISTATS | Learning Structured Weight Uncertainty in Bayesian Neural Networks. | Shengyang Sun, Changyou Chen, Lawrence Carin |
| 2017 | ICML | Stochastic Gradient Monomial Gamma Sampler. | Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin |
| 2016 | AAAI | Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. | Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin |
| 2016 | AAAI | High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. | Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin |
| 2016 | AISTATS | Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. | Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin |
| 2016 | CVPR | Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. | Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin |
| 2016 | ICML | Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. | Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin |
| 2015 | ICML | Scalable Deep Poisson Factor Analysis for Topic Modeling. | Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin |
| 2013 | ICML | Dependent Normalized Random Measures. | Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh |
| 2012 | ICML | Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling. | Changyou Chen, Nan Ding, Wray L. Buntine |
| 2008 | PRICAI | Low Resolution Gait Recognition with High Frequency Super Resolution. | Junping Zhang, Yuan Cheng, Changyou Chen |