Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough. - Zhuo Li; Weiqing Min; Jiajun Song; Yaohui Zhu; Shuqiang Jiang (CoRR, 2021)

Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough. - Zhuo Li; Weiqing Min; Jiajun Song; Yaohui Zhu; Liping Kang; Xiaoming Wei; Xiaolin Wei; Shuqiang Jiang (AAAI, 2022)

A Noise-robust Locality Transformer for Fine-grained Food Image Retrieval. - Jiajun Song; Weiqing Min; Yuxin Liu; Zhuo Li; Shuqiang Jiang; Yong Rui (MIPR, 2022)

DAGC: Data-Aware Adaptive Gradient Compression. - Rongwei Lu; Jiajun Song; Bin Chen 011; Laizhong Cui; Zhi Wang 001 (INFOCOM, 2023)

SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection. - Pengfei Zhou; Weiqing Min; Yang Zhang; Jiajun Song; Ying Jin; Shuqiang Jiang (ACM Multimedia, 2023)

Uncovering hidden geometry in Transformers via disentangling position and context. - Jiajun Song; Yiqiao Zhong (CoRR, 2023)

Ingredient Prediction via Context Learning Network With Class-Adaptive Asymmetric Loss. - Mengjiang Luo; Weiqing Min; Zhiling Wang; Jiajun Song; Shuqiang Jiang (IEEE Trans. Image Process., 2023)

A Reconfigurable 12-to-18-Bit Dynamic Zoom ADC With Pole-Optimized Technique. - Yuhua Liang; Jinyu Ren; Li Chen; Haotian Lan; Jiajun Song; Shida Song; Zhangming Zhu (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

A Time-Domain Reconfigurable Second-Order Noise Shaping ADC With Single Fan-Out Gated Delay Cells. - Zhe Yu; Yuhua Liang; Haotian Lan; Li Chen; Jiajun Song; Shida Song; Zhangming Zhu (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Transcriptional correlates of frequency-dependent brain functional activity associated with symptom severity in degenerative cervical myelopathy. - Xing Guo; Jie Li; Qian Su; Jiajun Song; Cai Cheng; Xu Chu; Rui Zhao 027 (NeuroImage, 2023)

Underwater AUV Path Planning Algorithm Based on GWHASSA. - Zhaoyang Wen; Changsong Yao; Jiajun Song (CIPAE, 2024)

A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. - Jiajun Song; Jiajun Luo; Rongwei Lu; Shuzhao Xie; Bin Chen 011; Zhi Wang 001 (Euro-Par (3), 2024)

Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question Answering. - Hiba Maryam; Ling Fu; Jiajun Song; Tajrian ABM Shafayet; Qidi Luo; Xiang Bai; Yuliang Liu (ICDAR (5), 2024)

Out-of-distribution generalization via composition: a lens through induction heads in Transformers. - Jiajun Song; Zhuoyan Xu; Yiqiao Zhong (CoRR, 2024)

Staleness-Centric Optimizations for Efficient Diffusion MoE Inference. - Jiajun Luo; Lizhuo Luo; Jianru Xu; Jiajun Song; Rongwei Lu; Chen Tang; Zhi Wang 001 (CoRR, 2024)

GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. - Pengfei Zhou; Xiaopeng Peng 001; Jiajun Song; Chuanhao Li 001; Zhaopan Xu; Yue Yang; Ziyao Guo; Hao Zhang; Yuqi Lin; Yefei He; Lirui Zhao; Shuo Liu; et al. (CoRR, 2024)

Proposing and solving olympiad geometry with guided tree search. - Chi Zhang 017; Jiajun Song; Siyu Li; Yitao Liang; Yuxi Ma; Wei Wang 115; Yixin Zhu 001; Song-Chun Zhu (CoRR, 2024)

Synthesizing Knowledge-Enhanced Features for Real-World Zero-Shot Food Detection. - Pengfei Zhou; Weiqing Min; Jiajun Song; Yang Zhang; Shuqiang Jiang (IEEE Trans. Image Process., 2024)

A 102.1-dB SNDR oversampling merge-mismatch-error-shaping SAR ADC in 180 nm CMOS. - Jinghong Xiao; Jiajun Song; Yuhua Liang (Microelectron. J., 2024)

Towards Food Image Retrieval via Generalization-Oriented Sampling and Loss Function Design. - Jiajun Song; Zhuo Li; Weiqing Min; Shuqiang Jiang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Upconversion-Powered Photoelectrochemical Bioanalysis for DNA Sensing. - Hong Liu; Weiwei Wei; Jiajun Song; Jin Hu; Zhezhe Wang; Peng Lin (Sensors, 2024)

Multi-state Ingredient Recognition via Adaptive Multi-centric Network. - Min Wen; Jiajun Song; Weiqing Min; Weimin Xiao; Lin Han; Shuqiang Jiang (IEEE Trans. Ind. Informatics, 2024)

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning. - Ling Fu; Biao Yang; Zhebin Kuang; Jiajun Song; Yuzhe Li; Linghao Zhu; Qidi Luo; Xinyu Wang; Hao Lu 003; Mingxin Huang; Zhang Li; Guozhi Tang; et al. (CoRR, 2025)