Changyou Chen - RankMe

231 papers A* 61A 16B 2Misc 1Journal 119Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models. AAAI Aanisha Bhattacharyya, Susmit Agrawal, Yaman Kumar Singla, Tarun Ram Menta, Nikitha S. R., Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
2026	J	`jnl`	KV-CoRE: Benchmarking Data-Dependent Low-Rank Compressibility of KV-Caches in LLMs. CoRR Jian Chen, Zhuoran Wang, Jiayu Qin, Ming Li, Meng Wang, Changyou Chen, Yin Chen, Qizhen Weng, Yirui Liu
2026	J	`jnl`	Optimizing Unnormalized Statistical Models Through Compositional Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang
2026	J	`jnl`	Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models. CoRR Jingchen Sun, Shaobo Han, Deep Patel, Wataru Kohno, Can Jin, Changyou Chen
2025	B	`conf`	A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. COLING Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2025	Misc	`conf`	CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition. ICASSP Jingchen Sun, Shaobo Han, Wataru Kohno, Changyou Chen
2025	J	`jnl`	CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition. CoRR Jingchen Sun, Shaobo Han, Wataru Kohno, Changyou Chen
2025	A	`conf`	Cross-Modal Feature Alignment and MMD Improve Robustness of Prompt Tuning. WACV Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande, Changyou Chen
2025	J	`jnl`	GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding. CoRR Shijie Zhou, Viet Dac Lai, Hao Tan, Jihyung Kil, Wanrong Zhu, Changyou Chen, Ruiyi Zhang
2025	J	`jnl`	KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction. CoRR Jiayu Qin, Zhengquan Luo, Guy Tadmor, Changyou Chen, David Zeevi, Zhiqiang Xu
2025	J	`jnl`	KidSpeak: A General Multi-purpose LLM for Kids' Speech Recognition and Screening. CoRR Rohan Sharma, Dancheng Liu, Jingchen Sun, Shijie Zhou, Jiayu Qin, Jinjun Xiong, Changyou Chen
2025	A	`conf`	Long-Term Ad Memorability: Understanding & Generating Memorable Ads. WACV Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy
2025	A*	`conf`	Measuring And Improving Engagement of Text-to-Image Generation Models. ICLR Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy
2025	J	`jnl`	Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. CoRR Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen
2025	J	`jnl`	MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models. CoRR Jian Chen, Wenye Ma, Penghang Liu, Wei Wang, Tengwei Song, Ming Li, Chenguang Wang, Ruiyi Zhang, Changyou Chen
2025	J	`jnl`	SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs. CoRR Jiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, Sujay Sanghavi, Changyou Chen, Hyokun Yun, Lihong Li
2025	A*	`conf`	SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. ICLR Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun
2025	A*	`conf`	Teaching Human Behavior Improves Content Understanding Abilities Of VLMs. ICLR Somesh Kumar Singh, Harini S. I, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah, Veeky Baths, Balaji Krishnamurthy
2025	J	`jnl`	Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective. Trans. Mach. Learn. Res. Meng Ding, Rohan Sharma, Changyou Chen, Jinhui Xu, Kaiyi Ji
2025	J	`jnl`	VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding. CoRR Jian Chen, Ming Li, Jihyung Kil, Chenguang Wang, Tong Yu, Ryan A. Rossi, Tianyi Zhou, Changyou Chen, Ruiyi Zhang
2024	J	`jnl`	A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. CoRR Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2024	A*	`conf`	A probability contrastive learning framework for 3D molecular representation learning. NeurIPS Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen
2024	A*	`conf`	AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning. ICLR Rohan Sharma, Kaiyi Ji, Zhiqiang Xu, Changyou Chen
2024	J	`jnl`	Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning. CoRR Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande, Changyou Chen
2024	A*	`conf`	Diffusion Models for Multi-Task Generative Modeling. ICLR Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng
2024	J	`jnl`	Diffusion Models for Multi-Task Generative Modeling. CoRR Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng
2024	J	`jnl`	Discriminative Adversarial Unlearning. CoRR Rohan Sharma, Shijie Zhou, Kaiyi Ji, Changyou Chen
2024	J	`jnl`	Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements. CoRR Shijie Zhou, Huaisheng Zhu, Rohan Sharma, Ruiyi Zhang, Kaiyi Ji, Changyou Chen
2024	J	`jnl`	GreenABR+: Generalized Energy-Aware Adaptive Bitrate Streaming. ACM Trans. Multim. Comput. Commun. Appl. Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslav Zola, Daby Sow
2024	J	`jnl`	LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs. CoRR Somesh Singh, Harini S. I, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
2024	J	`jnl`	LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. CoRR Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun
2024	A*	`conf`	Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. ICLR Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
2024	J	`jnl`	LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun
2024	J	`jnl`	MMR: Evaluating Reading Ability of Large Multimodal Models. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan A. Rossi, Jiuxiang Gu, Changyou Chen
2024	A*	`conf`	TRINS: Towards Multimodal Language Models that Can Read. CVPR Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun
2024	J	`jnl`	TRINS: Towards Multimodal Language Models that Can Read. CoRR Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun
2024	—	`conf`	TextLap: Customizing Language Models for Text-to-Layout Planning. EMNLP (Findings) Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen
2024	J	`jnl`	TextLap: Customizing Language Models for Text-to-Layout Planning. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen
2024	A*	`conf`	Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. ICLR Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2024	J	`jnl`	Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2023	A*	`conf`	A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. EMNLP Aanisha Bhattacharyya, Yaman Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen
2023	J	`jnl`	A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. CoRR Aanisha Bhattacharya, Yaman Kumar Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen
2023	A*	`conf`	ALCAP: Alignment-Augmented Music Captioner. EMNLP Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song
2023	A*	`conf`	AUC Maximization for Low-Resource Named Entity Recognition. AAAI Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023	J	`jnl`	Automatic Essay Scoring Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses. Dialogue Discourse Yaman Kumar, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen
2023	J	`jnl`	Behavior Optimized Image Generation. CoRR Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Rajiv Ratn Shah, Changyou Chen, Zhiqiang Xu, Balaji Krishnamurthy
2023	A*	`conf`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2023	A*	`conf`	Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. NeurIPS Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen
2023	J	`jnl`	Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. CoRR Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen
2023	J	`jnl`	Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. CoRR Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
2023	A*	`conf`	Learning Unnormalized Statistical Models via Compositional Optimization. ICML Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang
2023	J	`jnl`	Learning Unnormalized Statistical Models via Compositional Optimization. CoRR Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang
2023	J	`jnl`	Long-Term Memorability On Advertisements. CoRR Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy
2023	A*	`conf`	Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? ICDM Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023	J	`jnl`	Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? CoRR Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023	A*	`conf`	Persuasion Strategies in Advertisements. AAAI Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen
2023	J	`jnl`	Prompt Tuning based Adapter for Vision-Language Model Adaption. CoRR Jingchen Sun, Jiayu Qin, Zihao Lin, Changyou Chen
2023	—	`conf`	ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen
2023	A*	`conf`	Shifted Diffusion for Text-to-image Generation. CVPR Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
2023	A*	`conf`	Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. CVPR Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	J	`jnl`	Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning. CoRR Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	J	`jnl`	AUC Maximization for Low-Resource Named Entity Recognition. CoRR Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du
2022	J	`jnl`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2022	J	`jnl`	Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution. IEEE Trans. Multim. Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xinyi Peng, Xiang Zhou
2022	A	`conf`	GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning. MMSys Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow
2022	A*	`conf`	Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. EMNLP Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
2022	J	`jnl`	Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. CoRR Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
2022	J	`jnl`	Lafite2: Few-shot Text-to-Image Generation. CoRR Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu
2022	A*	`conf`	MINIMAL: Mining Models for Universal Adversarial Triggers. AAAI Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
2022	J	`jnl`	Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. CoRR Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar Malyan, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen
2022	A*	`conf`	Rethinking Deep Face Restoration. CVPR Yang Zhao, Yu-Chuan Su, Chun-Te Chu, Yandong Li, Marius Renn, Yukun Zhu, Changyou Chen, Xuhui Jia
2022	—	`conf`	STT: Soft Template Tuning for Few-Shot Adaptation. ICDM (Workshops) Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen
2022	J	`jnl`	STT: Soft Template Tuning for Few-Shot Adaptation. CoRR Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen
2022	J	`jnl`	Shifted Diffusion for Text-to-image Generation. CoRR Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
2022	A*	`conf`	TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
2022	A*	`conf`	Towards Language-Free Training for Text-to-Image Generation. CVPR Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2022	A*	`conf`	Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. AAAI Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen
2022	—	`conf`	What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & Structure. ICDM (Workshops) Yaman Kumar Singla, Jui Shah, Changyou Chen, Rajiv Ratn Shah
2022	A*	`conf`	Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. NeurIPS Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi
2021	J	`jnl`	A Generic Approach for Enhancing GANs by Regularized Latent Optimization. CoRR Yufan Zhou, Chunyuan Li, Changyou Chen, Jinhui Xu
2021	J	`jnl`	AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses. CoRR Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen
2021	—	`conf`	Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. ACL/IJCNLP (1) Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021	J	`jnl`	Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. CoRR Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021	J	`jnl`	LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2021	J	`jnl`	Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels. CoRR Yufan Zhou, Changyou Chen, Jinhui Xu
2021	J	`jnl`	MINIMAL: Mining Models for Data Free Universal Adversarial Triggers. CoRR Swapnil Parekh, Yaman Kumar Singla, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
2021	—	`conf`	Measurement of premixed propane combustion equivalence ratio based on flame image color and support vector machine. ICCDA Changyou Chen, Jiansheng Yang, Wen Shu, Peichi Tu
2021	A*	`conf`	Meta-Learning with Neural Tangent Kernels. ICLR Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
2021	J	`jnl`	Meta-Learning with Neural Tangent Kernels. CoRR Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
2021	A*	`conf`	MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2021	J	`jnl`	Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events. CoRR Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
2021	J	`jnl`	Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks. CoRR Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah
2021	—	`conf`	ReMP: Rectified Metric Propagation for Few-Shot Learning. CVPR Workshops Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen
2021	—	`conf`	Rethinking Sentiment Style Transfer. EMNLP (Findings) Ping Yu, Yang Zhao, Chunyuan Li, Changyou Chen
2021	J	`jnl`	SDA: Improving Text Generation with Self Data Augmentation. CoRR Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen
2021	A	`conf`	Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CIKM Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
2021	J	`jnl`	Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CoRR Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
2021	—	`conf`	Towards Fair Federated Learning With Zero-Shot Data Augmentation. CVPR Workshops Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
2021	J	`jnl`	Towards Fair Federated Learning with Zero-Shot Data Augmentation. CoRR Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
2021	J	`jnl`	Transformer-based Conditional Variational Autoencoder for Controllable Story Generation. CoRR Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
2021	A*	`conf`	Unpaired Image-to-Image Translation via Latent Energy Transport. CVPR Yang Zhao, Changyou Chen
2021	A*	`conf`	Unsupervised Hashing with Contrastive Information Bottleneck. IJCAI Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2021	J	`jnl`	Unsupervised Hashing with Contrastive Information Bottleneck. CoRR Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2021	J	`jnl`	Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. CoRR Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen
2021	J	`jnl`	What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure. CoRR Jui Shah, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah
2020	A*	`conf`	Bayesian Meta Sampling for Fast Uncertainty Adaptation. ICLR Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen
2020	A*	`conf`	Bayesian Multi-type Mean Field Multi-agent Imitation Learning. NeurIPS Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong
2020	A*	`conf`	Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. ICLR Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson
2020	J	`jnl`	Decomposed Adversarial Learned Inference. CoRR Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao
2020	J	`jnl`	Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. CoRR Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen
2020	A*	`conf`	Feature Quantization Improves GAN Training. ICML Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen
2020	J	`jnl`	Feature Quantization Improves GAN Training. CoRR Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen
2020	—	`conf`	GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. IEEE BigData Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang
2020	A*	`conf`	Generative Semantic Hashing Enhanced via Boltzmann Machines. ACL Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
2020	J	`jnl`	Generative Semantic Hashing Enhanced via Boltzmann Machines. CoRR Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
2020	J	`jnl`	Graph Neural Networks with Composite Kernels. CoRR Yufan Zhou, Jiayi Xian, Changyou Chen, Jinhui Xu
2020	A*	`conf`	Improving Adversarial Text Generation by Modeling the Distant Future. ACL Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	J	`jnl`	Improving Adversarial Text Generation by Modeling the Distant Future. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	A*	`conf`	Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. AAAI Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2020	A*	`conf`	Learning Manifold Implicitly via Explicit Heat-Kernel Learning. NeurIPS Yufan Zhou, Changyou Chen, Jinhui Xu
2020	J	`jnl`	Learning Manifold Implicitly via Explicit Heat-Kernel Learning. CoRR Yufan Zhou, Changyou Chen, Jinhui Xu
2020	J	`jnl`	MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2020	J	`jnl`	My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism. CoRR Swapnil Parekh, Yaman Kumar Singla, Changyou Chen, Junyi Jessy Li, Rajiv Ratn Shah
2020	A	`conf`	Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020	J	`jnl`	Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020	J	`jnl`	ReMP: Rectified Metric Propagation for Few-Shot Learning. CoRR Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen
2020	—	`conf`	Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020	J	`jnl`	Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020	J	`jnl`	Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
2020	—	`conf`	Semantic Matching via Optimal Partial Transport. EMNLP (Findings) Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin
2020	A	`conf`	Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. AISTATS Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen
2020	—	`conf`	Structure-Aware Human-Action Generation. ECCV (30) Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen
2020	J	`jnl`	Structure-Aware Human-Action Generation. CoRR Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen
2020	A*	`conf`	Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
2020	J	`jnl`	Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
2020	J	`jnl`	Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition. CoRR Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren
2020	J	`jnl`	Unpaired Image-to-Image Translation via Latent Energy Transport. CoRR Yang Zhao, Changyou Chen
2020	A*	`conf`	Variance Reduction in Stochastic Particle-Optimization Sampling. ICML Jianyi Zhang, Yang Zhao, Changyou Chen
2020	A*	`conf`	Variational Adversarial Kernel Learned Imitation Learning. AAAI Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong
2020	—	`conf`	Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. ISBI Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu
2019	J	`jnl`	A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. Sci. China Inf. Sci. Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin
2019	A	`conf`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. AISTATS Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. CoRR Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	A*	`conf`	Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. IJCAI Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen
2019	J	`jnl`	Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. CoRR Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen
2019	A*	`conf`	Certified Adversarial Robustness with Additive Noise. NeurIPS Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2019	A*	`conf`	Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. CoRR Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson
2019	A*	`conf`	Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. IJCAI Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang
2019	A*	`conf`	Differentially Private Empirical Risk Minimization with Non-convex Loss Functions. ICML Di Wang, Changyou Chen, Jinhui Xu
2019	A*	`conf`	Distributionally Adversarial Attack. AAAI Tianhang Zheng, Changyou Chen, Kui Ren
2019	—	`conf`	Document Hashing with Mixture-Prior Generative Models. EMNLP/IJCNLP (1) Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
2019	J	`jnl`	Document Hashing with Mixture-Prior Generative Models. CoRR Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
2019	J	`jnl`	Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution. CoRR Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xiang Zhou
2019	—	`conf`	Implicit Deep Latent Variable Models for Text Generation. EMNLP/IJCNLP (1) Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
2019	J	`jnl`	Implicit Deep Latent Variable Models for Text Generation. CoRR Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
2019	—	`conf`	Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	A	`conf`	InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. ICME Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren
2019	J	`jnl`	KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling. CoRR Yufan Zhou, Changyou Chen, Jinhui Xu
2019	J	`jnl`	Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. CoRR Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2019	J	`jnl`	Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution. IEEE Access Chuangchuang Liu, Xianfang Sun, Changyou Chen, Paul L. Rosin, Yitong Yan, Longcun Jin, Xinyi Peng
2019	A	`conf`	On Connecting Stochastic Gradient MCMC and Differential Privacy. AISTATS Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
2019	J	`jnl`	On Norm-Agnostic Robustness of Adversarial Training. CoRR Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2019	A*	`conf`	PointCloud Saliency Maps. ICCV Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren
2019	A	`conf`	Scalable Thompson Sampling via Optimal Transport. AISTATS Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin
2019	J	`jnl`	Scalable Thompson Sampling via Optimal Transport. CoRR Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin
2019	A*	`conf`	Self-Adversarially Learned Bayesian Sampling. AAAI Yang Zhao, Jianyi Zhang, Changyou Chen
2019	A*	`conf`	Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen
2019	—	`conf`	Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Topic-Guided Variational Autoencoders for Text Generation. CoRR Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2018	A	`conf`	A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018	J	`jnl`	A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018	A*	`conf`	Continuous-Time Flows for Efficient Inference and Density Estimation. ICML Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin
2018	A	`conf`	Deep Q-Learning for Dry Stacking Irregular Objects. IROS Yifang Liu, Seyed Mahdi Shamsi, Le Fang, Changyou Chen, Nils Napp
2018	J	`jnl`	Distributionally Adversarial Attack. CoRR Tianhang Zheng, Changyou Chen, Kui Ren
2018	—	`conf`	Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network. BrainLes@MICCAI (1) Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu
2018	J	`jnl`	Learning Saliency Maps for Adversarial Point-Cloud Generation. CoRR Tianhang Zheng, Changyou Chen, Junsong Yuan, Kui Ren
2018	A	`conf`	Learning Structural Weight Uncertainty for Sequential Decision-Making. AISTATS Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018	J	`jnl`	Learning Structural Weight Uncertainty for Sequential Decision-Making. CoRR Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018	A*	`conf`	Policy Optimization as Wasserstein Gradient Flows. ICML Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018	J	`jnl`	Policy Optimization as Wasserstein Gradient Flows. CoRR Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018	J	`jnl`	Second-Order Adversarial Attack and Certifiable Robustness. CoRR Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2018	J	`jnl`	Self-Adversarially Learned Bayesian Sampling. CoRR Yang Zhao, Jianyi Zhang, Changyou Chen
2018	J	`jnl`	Sequence Generation with Guider Network. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
2018	J	`jnl`	Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. CoRR Jianyi Zhang, Ruiyi Zhang, Changyou Chen
2018	A	`conf`	Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin
2018	J	`jnl`	Variance Reduction in Stochastic Particle-Optimization Sampling. CoRR Jianyi Zhang, Yang Zhao, Changyou Chen
2018	A*	`conf`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2017	—	`conf`	ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. NIPS Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017	A	`conf`	Learning Structured Weight Uncertainty in Bayesian Neural Networks. AISTATS Shengyang Sun, Changyou Chen, Lawrence Carin
2017	J	`jnl`	On Connecting Stochastic Gradient MCMC and Differential Privacy. CoRR Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
2017	—	`conf`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. ACL (1) Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2017	A*	`conf`	Stochastic Gradient Monomial Gamma Sampler. ICML Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Stochastic Gradient Monomial Gamma Sampler. CoRR Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2016	A	`conf`	Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. AISTATS Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin
2016	—	`conf`	Deep Metric Learning with Data Summarization. ECML/PKDD (1) Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
2016	J	`jnl`	Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. CoRR Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin
2016	A*	`conf`	High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. AAAI Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin
2016	—	`conf`	Laplacian Hamiltonian Monte Carlo. ECML/PKDD (1) Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin
2016	A*	`conf`	Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. CVPR Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin
2016	A*	`conf`	Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. ICML Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin
2016	J	`jnl`	Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes. CoRR Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
2016	J	`jnl`	Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes. Int. J. Approx. Reason. Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
2016	A*	`conf`	Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. AAAI Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin
2016	J	`jnl`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2016	—	`conf`	Stochastic Gradient MCMC with Stale Gradients. NIPS Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin
2016	J	`jnl`	Stochastic Gradient MCMC with Stale Gradients. CoRR Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin
2016	—	`conf`	Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. NIPS Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin
2016	J	`jnl`	Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling. CoRR Kar Wai Lim, Changyou Chen, Wray L. Buntine
2015	J	`jnl`	Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. CoRR Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin
2015	J	`jnl`	Differential Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. Changyou Chen, Wray L. Buntine, Nan Ding, Lexing Xie, Lan Du
2015	—	`conf`	On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators. NIPS Changyou Chen, Nan Ding, Lawrence Carin
2015	J	`jnl`	Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data. CoRR Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
2015	—	`conf`	Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. ECML/PKDD (2) Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
2015	A*	`conf`	Scalable Deep Poisson Factor Analysis for Topic Modeling. ICML Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin
2014	—	`conf`	Bayesian Sampling Using Stochastic Gradient Thermostats. NIPS Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel, Hartmut Neven
2014	—	`conf`	Robust Bayesian Max-Margin Clustering. NIPS Changyou Chen, Jun Zhu, Xinhua Zhang
2013	—	`conf`	Dependent Normalized Random Measures. ICML (3) Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh
2012	J	`jnl`	Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling CoRR Changyou Chen, Nan Ding, Wray L. Buntine
2012	A*	`conf`	Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling. ICML Changyou Chen, Nan Ding, Wray L. Buntine
2012	J	`jnl`	Non-Parametric Kernel Learning with robust pairwise constraints. Int. J. Mach. Learn. Cybern. Changyou Chen, Junping Zhang, Xuefang He, Zhi-Hua Zhou
2012	J	`jnl`	Sequential latent Dirichlet allocation. Knowl. Inf. Syst. Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen
2012	J	`jnl`	Theory of Dependent Hierarchical Normalized Random Measures CoRR Changyou Chen, Wray L. Buntine, Nan Ding
2011	—	`conf`	Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process. ECML/PKDD (1) Changyou Chen, Lan Du, Wray L. Buntine
2010	J	`jnl`	Distance Approximating Dimension Reduction of Riemannian Manifolds. IEEE Trans. Syst. Man Cybern. Part B Changyou Chen, Junping Zhang, Rudolf Fleischer
2010	J	`jnl`	Low-Resolution Gait Recognition. IEEE Trans. Syst. Man Cybern. Part B Junping Zhang, Jian Pu, Changyou Chen, Rudolf Fleischer
2009	—	`conf`	Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition. ICB Changyou Chen, Junping Zhang, Rudolf Fleischer
2008	B	`conf`	Low Resolution Gait Recognition with High Frequency Super Resolution. PRICAI Junping Zhang, Yuan Cheng, Changyou Chen