Weighted DCT coefficient based text detection. - Su Lu; Kenneth E. Barner (ICASSP, 2008)

Multi-View Anomaly Detection: Neighborhood in Locality Matters. - Xiang-Rong Sheng; De-Chuan Zhan; Su Lu; Yuan Jiang 001 (AAAI, 2019)

SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Dongxin Liu; Shengzhong Liu; Yifan Hao; Ailing Piao; Shaohan Hu; Su Lu; Tarek F. Abdelzaher (INFOCOM, 2019)

Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder. - Huzheng Yang; Xiaoxiao Li; Yifan Wu; Siyi Li; Su Lu; James S. Duncan; James C. Gee; Shi Gu (MICCAI (3), 2019)

Distilling Cross-Task Knowledge via Relationship Matching. - Han-Jia Ye; Su Lu; De-Chuan Zhan (CVPR, 2020)

Dual-Arm Needle Manipulation with the da Vinci®Surgical Robot. - Su Lu; Thomas Shkurti; Murat Cenk Çavusoglu (ISMR, 2020)

Dynamics and Complexity Analysis of Fractional-Order Chaotic Systems with Line Equilibrium Based on Adomian Decomposition. - Heng Chen; Tengfei Lei; Su Lu; WenPeng Dai; Lijun Qiu; Lin Zhong (Complex., 2020)

Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors. - Su Lu; Han-Jia Ye; De-Chuan Zhan (AAAI, 2021)

Visually Guided Needle Driving and Pull for Autonomous Suturing. - Orhan Özgüner; Tom Shkurti; Su Lu; Wyatt S. Newman; Murat Cenk Çavusoglu (CASE, 2021)

Dual-Arm Needle Manipulation with the da Vinci® Surgical Robot Under Uncertainty. - Su Lu; Thomas Shkurti; Murat Cenk Çavusoglu (ICRA, 2021)

Towards Enabling Meta-Learning from Target Models. - Su Lu; Han-Jia Ye; Le Gan; De-Chuan Zhan (NeurIPS, 2021)

Support-Target Protocol for Meta-Learning. - Su Lu; Han-Jia Ye; De-Chuan Zhan (CoRR, 2021)

Few-Shot Action Recognition with Compromised Metric via Optimal Transport. - Su Lu; Han-Jia Ye; De-Chuan Zhan (CoRR, 2021)

Faculty Distillation with Optimal Transport. - Su Lu; Han-Jia Ye; De-Chuan Zhan (CoRR, 2022)

Generalized Knowledge Distillation via Relationship Matching. - Han-Jia Ye; Su Lu; De-Chuan Zhan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revisit the Essence of Distilling Knowledge through Calibration. - Wen-Shu Fan; Su Lu; Xin-Chun Li; De-Chuan Zhan; Le Gan (ICML, 2024)

SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval. - Ting Wang 015; Su Lu; Jianjun Zhang 004; Xuyu Liu; Xing Tian; Wing W. Y. Ng; Wei-neng Chen (IEEE Trans. Cybern., 2024)

Maximizing the Effectiveness of Larger BERT Models for Compression. - Wen-Shu Fan; Su Lu; Shangyu Xing; Xin-Chun Li; De-Chuan Zhan (ACL (1), 2025)

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning. - Congkai Xie; Shuo Cai; Wenjun Wang; Pengxiang Li; Zhijie Sang; Kejing Yang; Yiming Zhang; Zhen Li; Guanghao Zhu; Zeyu Liu; Yang Yu; Yuhang Liu 005; et al. (CoRR, 2025)

InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning Capabilities. - Shuo Cai; Su Lu; Qi Zhou; Kejing Yang; Zhijie Sang; Congkai Xie; Hongxia Yang (CoRR, 2025)