Facial Expression Recognition with Data Augmentation and Compact Feature Learning. - Feng Lin 009; Richang Hong; Wengang Zhou 001; Houqiang Li (ICIP, 2018)

AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups. - Feng Lin 009; Haohang Xu; Houqiang Li; Hongkai Xiong; Guo-Jun Qi (CoRR, 2019)

Single-stage Instance Segmentation. - Feng Lin 009; Bin Li 012; Wengang Zhou 001; Houqiang Li; Yan Lu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning. - Feng Lin 009; Haohang Xu; Houqiang Li; Hongkai Xiong; Guo-Jun Qi (AAAI, 2021)

Residual Refinement Network with Attribute Guidance for Precise Saliency Detection. - Feng Lin 009; Wengang Zhou 001; Jiajun Deng; Bin Li 012; Yan Lu 001; Houqiang Li (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Million-scale Object Detection with Large Vision Model. - Feng Lin 009; Wenze Hu; Yaowei Wang 001; Yonghong Tian 001; Guangming Lu 002; Fanglin Chen 001; Yong Xu 007; Xiaoyu Wang 002 (CoRR, 2022)

Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations. - Guo-Jun Qi; Liheng Zhang; Feng Lin 009; Xiao Wang 013 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding. - Hanling Yi; Feng Lin 009; Hongbin Li; Peiyang Ning; Xiaotian Yu; Rong Xiao 003 (ACL (Findings), 2024)

REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation. - Xizhe Xue; Guoting Wei; Hao Chen 041; Haokui Zhang; Feng Lin 009; Chunhua Shen; Xiao Xiang Zhu 001 (CoRR, 2024)

Universal Object Detection with Large Vision Model. - Feng Lin 009; Wenze Hu; Yaowei Wang 001; Yonghong Tian 001; Guangming Lu 002; Fanglin Chen 001; Yong Xu 007; Xiaoyu Wang 002 (Int. J. Comput. Vis., 2024)

BiTA: Bi-directional tuning for lossless acceleration in large language models. - Feng Lin 009; Hanling Yi; Yifan Yang; Hongbin Li; Xiaotian Yu; Guangming Lu 002; Rong Xiao 003 (Expert Syst. Appl., 2025)

Not All Attention Heads Are What You Need: Refining CLIP's Image Representation with Attention Ablation. - Feng Lin 009; Marco Chen; Haokui Zhang; Xiaotian Yu; Guangming Lu 002; Rong Xiao 003 (CoRR, 2025)