Chenyang Tao - RankMe

62 papers A* 14A 2B 1Journal 32Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. NAACL (Findings) Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Jieyu Zhao, Salman Avestimehr
2025	—	`conf`	FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline. EMNLP (Findings) Parker Seegmiller, Kartik Mehta, Soumya Saha, Chenyang Tao, Shereen Oraby, Arpit Gupta, Tagyoung Chung, Mohit Bansal, Nanyun Peng
2025	J	`jnl`	FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline. CoRR Parker Seegmiller, Kartik Mehta, Soumya Saha, Chenyang Tao, Shereen Oraby, Arpit Gupta, Tagyoung Chung, Mohit Bansal, Nanyun Peng
2024	—	`conf`	CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. ECCV (80) Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	J	`jnl`	CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. CoRR Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	A*	`conf`	DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models. ICML Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng
2024	J	`jnl`	Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. CoRR Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr
2024	—	`conf`	MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. ACL (1) Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	J	`jnl`	MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. CoRR Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	B	`conf`	Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring. ISIT Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr, Chenyang Tao, Dimitrios Dimitriadis
2023	J	`jnl`	Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao
2023	J	`jnl`	On Compositionality and Improved Training of NADO. CoRR Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng
2023	—	`conf`	PLACES: Prompting Language Models for Social Conversation Synthesis. EACL (Findings) Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Seokhwan Kim, Andy Rosenbaum, Yang Liu, Zhou Yu, Dilek Hakkani-Tur
2023	J	`jnl`	PLACES: Prompting Language Models for Social Conversation Synthesis. CoRR Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Seokhwan Kim, Andy Rosenbaum, Yang Liu, Zhou Yu, Dilek Hakkani-Tur
2023	J	`jnl`	Unsupervised Melody-Guided Lyrics Generation. CoRR Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar A. Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
2023	J	`jnl`	Unsupervised Melody-to-Lyric Generation. CoRR Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar A. Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
2023	—	`conf`	Unsupervised Melody-to-Lyrics Generation. ACL (1) Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar A. Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
2022	A*	`conf`	Gradient Importance Learning for Incomplete Observations. ICLR Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
2022	A*	`conf`	Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. NeurIPS Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao
2022	J	`jnl`	Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding. CoRR Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Andy Rosenbaum, Seokhwan Kim, Yang Liu, Zhou Yu, Dilek Hakkani-Tur
2021	—	`conf`	APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
2021	A	`conf`	Counterfactual Representation Learning with Balancing Weights. AISTATS Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
2021	J	`jnl`	Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. CoRR Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao
2021	J	`jnl`	Imputation-Free Learning from Incomplete Observations. CoRR Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
2021	—	`conf`	Multi-Grained Knowledge Distillation for Named Entity Recognition. NAACL-HLT Xuan Zhou, Xiao Zhang, Chenyang Tao, Junya Chen, Bing Xu, Wei Wang, Jing Xiao
2021	J	`jnl`	Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao
2021	A*	`conf`	Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
2021	J	`jnl`	Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. CoRR Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao
2021	A*	`conf`	Variational Disentanglement for Rare Event Modeling. AAAI Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
2021	J	`jnl`	Variational Inference with Holder Bounds. CoRR Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao
2020	J	`jnl`	APo-VAE: Text Generation in Hyperbolic Space. CoRR Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
2020	A	`conf`	Advancing weakly supervised cross-domain alignment with optimal transport. BMVC Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Counterfactual Representation Learning with Balancing Weights. CoRR Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
2020	J	`jnl`	Double Robust Representation Learning for Counterfactual Prediction. CoRR Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li
2020	—	`conf`	Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
2020	J	`jnl`	Improving Text Generation with Student-Forcing Optimal Transport. CoRR Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
2020	J	`jnl`	Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. CoRR Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin
2020	A*	`conf`	Reconsidering Generative Objectives For Counterfactual Reasoning. NeurIPS Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin
2020	A*	`conf`	Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
2020	J	`jnl`	Variational Disentanglement for Rare Event Modeling. CoRR Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
2020	J	`jnl`	Variational Learning of Individual Survival Distributions. CoRR Zidi Xiu, Chenyang Tao, Ricardo Henao
2020	—	`conf`	Variational learning of individual survival distributions. CHIL Zidi Xiu, Chenyang Tao, Ricardo Henao
2020	J	`jnl`	Weakly supervised cross-domain alignment with optimal transport. CoRR Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
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	—	`conf`	Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	A*	`conf`	Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	A*	`conf`	On Fenchel Mini-Max Learning. NeurIPS Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin
2019	J	`jnl`	Survival Function Matching for Calibrated Time-to-Event Predictions. CoRR Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao
2019	A*	`conf`	Variational Annealing of GANs: A Langevin Perspective. ICML Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin
2018	A*	`conf`	Adversarial Text Generation via Feature-Mover's Distance. NeurIPS Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
2018	J	`jnl`	Adversarial Text Generation via Feature-Mover's Distance. CoRR Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin
2018	A*	`conf`	Adversarial Time-to-Event Modeling. ICML Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018	J	`jnl`	Adversarial Time-to-Event Modeling. CoRR Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018	A*	`conf`	Chi-square Generative Adversarial Network. ICML Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin
2018	A*	`conf`	Variational Inference and Model Selection with Generalized Evidence Bounds. ICML Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Canonical kernel dimension reduction. Comput. Stat. Data Anal. Chenyang Tao, Jianfeng Feng
2017	J	`jnl`	Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications. NeuroImage Chenyang Tao, Thomas E. Nichols, Xue Hua, Christopher R. K. Ching, Edmund T. Rolls, Paul M. Thompson, Jianfeng Feng
2014	—	`conf`	Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization. Neural Connectomics Chenyang Tao, Wei Lin, Jianfeng Feng