Junwen Bai - RankMe

38 papers A* 10B 2C 1Misc 4Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Design and Experiments of an Enveloping Soft Gripper by Torsional Buckling for Food Handling. IEEE Robotics Autom. Lett. Shihan He, Qi Zhu, Li Sun, Chen Wang, Junwen Bai, Jianrong Cai
2025	J	`jnl`	MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine. CoRR Shufeng Kong, Xingru Yang, Yuanyuan Wei, Zijie Wang, Hao Tang, Jiuqi Qin, Shuting Lan, Yingheng Wang, Junwen Bai, Zhuangbin Chen, Zibin Zheng, Caihua Liu, Hao Liang
2024	Misc	`conf`	Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. ICASSP Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman
2024	J	`jnl`	Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. CoRR Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman
2024	—	`conf`	Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. ACL (1) Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland
2024	J	`jnl`	Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. CoRR Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland
2023	A*	`conf`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
2023	J	`jnl`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
2023	Misc	`conf`	Efficient Domain Adaptation for Speech Foundation Models. ICASSP Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
2023	J	`jnl`	Efficient Domain Adaptation for Speech Foundation Models. CoRR Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
2023	J	`jnl`	Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. CoRR Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes
2022	A*	`conf`	A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. AAAI Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes
2022	A*	`conf`	Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML Junwen Bai, Shufeng Kong, Carla P. Gomes
2022	Misc	`conf`	Joint Unsupervised and Supervised Training for Multilingual ASR. ICASSP Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
2021	J	`jnl`	A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. CoRR Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes
2021	A*	`conf`	Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS Junwen Bai, Weiran Wang, Carla P. Gomes
2021	J	`jnl`	Contrastively Disentangled Sequential Variational Autoencoder. CoRR Junwen Bai, Weiran Wang, Carla P. Gomes
2021	J	`jnl`	Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR Junwen Bai, Shufeng Kong, Carla P. Gomes
2021	A*	`conf`	HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. AAAI Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
2021	J	`jnl`	HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. CoRR Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
2021	J	`jnl`	Joint Unsupervised and Supervised Training for Multilingual ASR. CoRR Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
2021	A*	`conf`	Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
2021	C	`conf`	Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai
2020	A*	`conf`	Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2020	J	`jnl`	Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2020	A*	`conf`	Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI Junwen Bai, Shufeng Kong, Carla P. Gomes
2020	J	`jnl`	Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. CoRR Junwen Bai, Shufeng Kong, Carla P. Gomes
2020	J	`jnl`	Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
2019	Misc	`conf`	Imitation Refinement for X-ray Diffraction Signal Processing. ICASSP Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
2019	A*	`conf`	SWALP : Stochastic Weight Averaging in Low Precision Training. ICML Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
2019	J	`jnl`	SWALP : Stochastic Weight Averaging in Low-Precision Training. CoRR Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
2018	B	`conf`	An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. CPAIOR Junwen Bai, Sebastian Ament, Guillaume Perez, John M. Gregoire, Carla P. Gomes
2018	J	`jnl`	Imitation Refinement. CoRR Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
2018	J	`jnl`	Phase Mapper: Accelerating Materials Discovery with AI. AI Mag. Junwen Bai, Yexiang Xue, Johan Bjorck, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes
2017	J	`jnl`	A Spatial Analysis Approach for Evaluating the Service Capability of Urban Greenways - A Case Study in Wuhan. ISPRS Int. J. Geo Inf. Junwen Bai, Penglin Zhang, Juan Du, Zheng Li
2017	A*	`conf`	Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. AAAI Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes
2017	B	`conf`	Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery. CPAIOR Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John M. Gregoire, Carla P. Gomes
2016	J	`jnl`	Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. CoRR Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes