Using the SVM Method for Lung Adenocarcinoma Prognosis Based on Expression Level. - Tianqin Li; Mingzhe Hu; Liao Zhang (ICCBB, 2018)

SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. - Andrew Luo; Tianqin Li; Wen-Hao Zhang; Tai Sing Lee (ICCV, 2021)

Integrating Auxiliary Information in Self-supervised Learning. - Yao-Hung Hubert Tsai; Tianqin Li; Weixin Liu; Peiyuan Liao; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2021)

TPU-GAN: Learning temporal coherence from dynamic point cloud sequences. - Zijie Li; Tianqin Li; Amir Barati Farimani (ICLR, 2022)

Prototype memory and attention mechanisms for few shot image generation. - Tianqin Li; Zijie Li; Andrew Luo; Harold Rockwell; Amir Barati Farimani; Tai Sing Lee (ICLR, 2022)

Learning Weakly-supervised Contrastive Representations. - Yao-Hung Hubert Tsai; Tianqin Li; Weixin Liu; Peiyuan Liao; Ruslan Salakhutdinov; Louis-Philippe Morency (ICLR, 2022)

Conditional Contrastive Learning with Kernel. - Yao-Hung Hubert Tsai; Tianqin Li; Martin Q. Ma; Han Zhao 002; Kun Zhang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (ICLR, 2022)

Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity. - Tianqin Li; Ziqi Wen; Yangfan Li; Tai Sing Lee (NeurIPS, 2023)

Does resistance to Style-Transfer equal Shape Bias? Evaluating Shape Bias by Distorted Shape. - Ziqi Wen; Tianqin Li; Tai Sing Lee (CoRR, 2023)

Perceptual Inductive Bias Is What You Need Before Contrastive Learning. - Junru Zhao; Tianqin Li; Dunhan Jiang; Shenghao Wu; Alan Ramirez; Tai Sing Lee (CVPR, 2025)

From Local Cues to Global Percepts: Emergent Gestalt Organization in Self-Supervised Vision Models. - Tianqin Li; Ziqi Wen; Leiran Song; Jun Liu; Zhi Jing 003; Tai Sing Lee (CoRR, 2025)

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads. - Yifan Li; Xin Li; Tianqin Li; Wenbin He; Yu Kong; Liu Ren (CoRR, 2025)

Learning More by Seeing Less: Line Drawing Pretraining for Efficient, Transferable, and Human-Aligned Vision. - Tianqin Li; George Liu; Tai Sing Lee (CoRR, 2025)