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Journal Articles
- 2024
[j3]Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu:
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. RLJ 3: 1211-1235 (2024)- [j2]Xiuyuan Cheng
, Jianfeng Lu, Yixin Tan, Yao Xie:
Convergence of Flow-Based Generative Models via Proximal Gradient Descent in Wasserstein Space. IEEE Trans. Inf. Theory 70(11): 8087-8106 (2024) - 2022
- [j1]Honglin Liu, Yongzhao Zhan, Huifen Xia, Qirong Mao, Yixin Tan:
Self-supervised transformer-based pre-training method using latent semantic masking auto-encoder for pest and disease classification. Comput. Electron. Agric. 203: 107448 (2022)
Conference and Workshop Papers
- 2025
- [c9]Kevin Rojas, Yixin Tan, Molei Tao, Yuriy Nevmyvaka, Wei Deng:
Variational Schrödinger Momentum Diffusion. AISTATS 2025: 4645-4653 - [c8]Yixin Tan, Haoyu Zhang, Jun Sakuma:
Weakening Prediction Confidence Makes Backdoors Strengthened: A Strong Textual Backdoor Attack on Prefix-tuning. IJCNN 2025: 1-8 - [c7]Jan Sokolowski, Yixin Tan:
Shape Optimization for Inverse Problems Solution. Gradient Flow Dynamic System. MMAR 2025: 136-141 - 2024
- [c6]Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen:
Variational Schrödinger Diffusion Models. ICML 2024 - [c5]Jan Sokolowski, Yixin Tan:
Optimal control and optimum design of elasticity system: Topological derivative method for control problem. MMAR 2024: 11-16 - 2023
- [c4]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence of score-based generative modeling for general data distributions. ALT 2023: 946-985 - [c3]Luo Min, Yixin Tan, Qiulin Chen:
Yishu: Yishu at WMT2023 Translation Task. WMT 2023: 143-149 - 2022
- [c2]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence for score-based generative modeling with polynomial complexity. NeurIPS 2022 - 2020
- [c1]Yixin Tan, Xiaomeng Wang, Tao Jia:
From Syntactic Structure to Semantic Relationship: Hypernym Extraction from Definitions by Recurrent Neural Networks Using the Part of Speech Information. ISWC (1) 2020: 529-546
Informal and Other Publications
- 2025
- [i7]Kevin Rojas, Yixin Tan, Molei Tao, Yuriy Nevmyvaka, Wei Deng:
Variational Schrödinger Momentum Diffusion. CoRR abs/2501.16675 (2025) - 2024
- [i6]Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen:
Variational Schrödinger Diffusion Models. CoRR abs/2405.04795 (2024) - [i5]Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu:
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. CoRR abs/2406.12241 (2024) - 2023
- [i4]Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie:
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space. CoRR abs/2310.17582 (2023) - 2022
- [i3]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence for score-based generative modeling with polynomial complexity. CoRR abs/2206.06227 (2022) - [i2]Holden Lee, Jianfeng Lu, Yixin Tan:
Convergence of score-based generative modeling for general data distributions. CoRR abs/2209.12381 (2022) - 2020
- [i1]Yixin Tan, Xiaomeng Wang, Tao Jia:
From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information. CoRR abs/2012.03418 (2020)
Coauthor Index
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