A New Algorithm for Generating Unique-Solution Sudoku. - Baochen Sun; Xiwei Sun; Yue Wu; Yiling Yin; Goping Yang (ICNC (7), 2008)

Staying Cable Wires of Fiber Bragg Grating/Fiber-Reinforced Composite. - Jianzhi Li; Yanliang Du; Baochen Sun (J. Comput., 2012)

From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains. - Baochen Sun; Kate Saenko (BMVC, 2014)

Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images. - Xingchao Peng; Baochen Sun; Karim Ali 002; Kate Saenko (CoRR, 2014)

Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. - Ayan Chakrabarti; Ying Xiong; Baochen Sun; Trevor Darrell; Daniel Scharstein; Todd E. Zickler; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Subspace Distribution Alignment for Unsupervised Domain Adaptation. - Baochen Sun; Kate Saenko (BMVC, 2015)

Learning Deep Object Detectors from 3D Models. - Xingchao Peng; Baochen Sun; Karim Ali 002; Kate Saenko (ICCV, 2015)

What Do Deep CNNs Learn About Objects? - Xingchao Peng; Baochen Sun; Karim Ali 002; Kate Saenko (ICLR (Workshop), 2015)

Return of Frustratingly Easy Domain Adaptation. - Baochen Sun; Jiashi Feng; Kate Saenko (AAAI, 2016)

Deep CORAL: Correlation Alignment for Deep Domain Adaptation. - Baochen Sun; Kate Saenko (ECCV Workshops (3), 2016)

Correlation Alignment for Unsupervised Domain Adaptation. - Baochen Sun; Jiashi Feng; Kate Saenko (CoRR, 2016)

Ground2sky label transfer for fine-grained aerial car recognition. - Baochen Sun; Xingchao Peng; Stella X. Yu; Kate Saenko (ICIP, 2017)

Correlation Alignment for Unsupervised Domain Adaptation. - Baochen Sun; Jiashi Feng; Kate Saenko (Domain Adaptation in Computer Vision Applications, 2017)

Recognition of Wheel Polygon Based on W/R Force Measurement by Piezoelectric Sensors in GSM-R Network. - Ying Song; Baochen Sun (Wirel. Pers. Commun., 2018)

Bidirectional Parallel Feature Pyramid Network for Object Detection. - Zhengning Zhang; Lin Zhang 001; Yue Wang 007; Pengming Feng; Baochen Sun (IEEE Access, 2022)

Proximal Gradient Methods for General Smooth Graph Total Variation Model in Unsupervised Learning. - Baochen Sun; Huibin Chang (J. Sci. Comput., 2022)

LossMix: Simplify and Generalize Mixup for Object Detection and Beyond. - Thanh Vu; Baochen Sun; Bodi Yuan; Alex Ngai; Yueqi Li; Jan-Michael Frahm (CoRR, 2023)

LOWA: Localize Objects in the Wild with Attributes. - Xiaoyuan Guo; Kezhen Chen; Jinmeng Rao; Yawen Zhang; Baochen Sun; Jie Yang (CoRR, 2023)

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. - Jiaying Lu 001; Jinmeng Rao; Kezhen Chen; Xiaoyuan Guo; Yawen Zhang; Baochen Sun; Carl Yang 001; Jie Yang (CoRR, 2023)

Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond. - Thanh Vu; Baochen Sun; Bodi Yuan; Alex Ngai; Yueqi Li; Jan-Michael Frahm (AAAI, 2024)

Higher Layers Need More LoRA Experts. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Baochen Sun; Ruibo Liu; Daiyi Peng; Yawen Zhang; Xiaoyuan Guo; Jie Yang; V. S. Subrahmanian (CoRR, 2024)

A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition. - Zhifang Liu; Baochen Sun; Xue-Cheng Tai; Qi Wang 021; Huibin Chang (SIAM J. Sci. Comput., 2024)

MoLA: MoE LoRA with Layer-wise Expert Allocation. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Ruibo Liu; Baochen Sun; Yawen Zhang; Daiyi Peng; Xiaoyuan Guo; V. S. Subrahmanian (NAACL (Findings), 2025)