| 2026 | ACL | Analyze Like a Venture Capitalist: Information-Gain and Knowledge Enhanced Graph Reasoning for Startup Success Prediction. | Haoyu Pei, Zhongyang Liu, Xiangyi Xiao, Xiaocong Du, Suting Hong, Kunpeng Zhang, Haipeng Zhang |
| 2025 | ICLR | MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. | Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu |
| 2025 | IJCAI | Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry. | Xiaocong Du, Haoyu Pei, Haipeng Zhang |
| 2025 | IUI | TSConnect: An Enhanced MOOC Platform for Bridging Communication Gaps Between Instructors and Students in Light of the Curse of Knowledge. | Qianyu Liu, Xinran Li, Xiaocong Du, Quan Li |
| 2024 | AAAI | Layer Compression of Deep Networks with Straight Flows. | Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu |
| 2024 | IJCAI | For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction. | Xiaocong Du, Haipeng Zhang |
| 2023 | IECON | Improved Stochastic Recurrent Networks for Nonlinear State Space System Identification. | Xinpeng Liu, Xiaocong Du, Xianqiang Yang, Chao Cai |
| 2022 | NAACL | Harmless Transfer Learning for Item Embeddings. | Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal |
| 2022 | UAI | Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. | Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu |
| 2021 | ICMLA | Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. | Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal |
| 2021 | IJCNN | Evolutionary NAS in Light of Model Stability for Accurate Continual Learning. | Xiaocong Du, Zheng Li, Jingbo Sun, Frank Liu, Yu Cao |
| 2020 | CVPR | Noise-based Selection of Robust Inherited Model for Accurate Continual Learning. | Xiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao |
| 2020 | DAC | Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. | Gouranga Charan, Jubin Hazra, Karsten Beckmann, Xiaocong Du, Gokul Krishnan, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao |
| 2020 | ICMLA | DAT-RNN: Trajectory Prediction with Diverse Attention. | Zheng Li, Xiaocong Du, Yu Cao |
| 2020 | IJCAI | Efficient and Modularized Training on FPGA for Real-time Applications. | Shreyas Kolala Venkataramanaiah, Xiaocong Du, Zheng Li, Shihui Yin, Yu Cao, Jae-sun Seo |
| 2020 | IJCNN | Online Knowledge Acquisition with the Selective Inherited Model. | Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao |
| 2020 | WACV | GAR: Graph Assisted Reasoning for Object Detection. | Zheng Li, Xiaocong Du, Yu Cao |
| 2019 | ICMLA | Single-Net Continual Learning with Progressive Segmented Training. | Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao |