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Tianqin Li
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2020 – today
- 2023
- [c7]Tianqin Li, Ziqi Wen, Yangfan Li, Tai Sing Lee:
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity. NeurIPS 2023 - [i6]Ziqi Wen, Tianqin Li, Tai Sing Lee:
Does resistance to Style-Transfer equal Shape Bias? Evaluating Shape Bias by Distorted Shape. CoRR abs/2310.07555 (2023) - [i5]Tianqin Li, Ziqi Wen, Yangfan Li, Tai Sing Lee:
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity. CoRR abs/2310.18894 (2023) - 2022
- [c6]Zijie Li, Tianqin Li, Amir Barati Farimani:
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences. ICLR 2022 - [c5]Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee:
Prototype memory and attention mechanisms for few shot image generation. ICLR 2022 - [c4]Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao
, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Weakly-supervised Contrastive Representations. ICLR 2022 - [c3]Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov:
Conditional Contrastive Learning with Kernel. ICLR 2022 - [i4]Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee:
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. CoRR abs/2201.00112 (2022) - [i3]Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov:
Conditional Contrastive Learning with Kernel. CoRR abs/2202.05458 (2022) - [i2]Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Weakly-Supervised Contrastive Representations. CoRR abs/2202.06670 (2022) - 2021
- [c2]Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee:
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. ICCV 2021: 16218-16228 - [i1]Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Integrating Auxiliary Information in Self-supervised Learning. CoRR abs/2106.02869 (2021)
2010 – 2019
- 2018
- [c1]Tianqin Li, Mingzhe Hu, Liao Zhang:
Using the SVM Method for Lung Adenocarcinoma Prognosis Based on Expression Level. ICCBB 2018: 63-66
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