I am currently an Assistant Professor (tenure-track) at School of Computer Science and Technology, Tongji University. Prior to that, I was a postdoc working in Cross-Media Intelligent Computing Lab at Fudan University.

I received my Ph.D. from Fudan University in June 2023, under the supervision of Rui Feng. My research interest includes multimodal representation learning and knowledge infusion. I have published 20+ papers at the top international AI conferences such as NeurIPS, AAAI, TMM, ACM MM and ICASSP.

🔥 News

• 2025.07:  🎉 One paper is accepted by COLM 2025.
• 2025.07:  🎉 One paper is accepted by ECAI 2025.
• 2025.07:  🎉 One paper is accepted by ACM MM 2025.
• 2024.12:  🎉 One paper is accepted by AAAI 2025.
• 2024.12:  🎉 One paper is accepted by COLING 2025.
• 2024.12:  🎉 One paper is accepted by ICASSP 2025.
• 2024.09:  🎉 One paper is accepted by NeurIPS 2024.
• 2024.07:  🎉 Two papers are accepted by ACM MM 2024.
• 2024.05:  🎉 One paper is accepted by KDD 2024.

📝 Publications

• ACM MM 2025 Semantic-Aware Hard Negative Mining for Medical Vision-Language Contrastive Pretraining
  Yongxin Li, Ying Cheng, Yaning Pan, Wen He, Qing Wang, Rui Feng, Xiaobo Zhang [paper]

• AAAI 2025 AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds
  Ziheng Ding, Xiaze Zhang, Qi Jing, Ying Cheng, Rui Feng

• ICRA 2025 ConTrack3D: Contrastive Learning Contributes Concise 3D Multi-Object Tracking
  Ruibin Du, Ziheng Ding, Xiaze Zhang, Zhuoyao Wang, Ying Cheng, Rui Feng [paper]

• COLM 2025 FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training
  Hongzhou Yu, Tianhao Cheng, Yingwen Wang, Wen He, Qing Wang, Ying Cheng, Yuejie Zhang, Rui Feng, Xiaobo Zhang [paper]

• COLING 2025 RoBGuard: Enhancing LLMs to Assess Risk of Bias in Clinical Trial Documents
  Changkai Ji, Bowen Zhao, Zhuoyao Wang, Yingwen Wang, Yuejie Zhang, Ying Cheng, Rui Feng and Xiaobo Zhang

• ICASSP 2025 Uncertainty-Aware Dynamic Fusion for Multimodal Clinical Prediction Tasks
  Jiayu Guo, Ying Cheng, Wen He, Yuejie Zhang, Rui Feng, Xiaobo Zhang

• NeurIPS 2024 Mixtures of Experts for Audio-Visual Learning
  Ying Cheng, Yang Li, Junjie He, Rui Feng [paper][code]

• KDD 2024 ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
  Ruize Wang, Hui Xu, Ying Cheng, Qi He, Xing Zhou, Rui Feng, Wei Xu, Lei Huang, Jie Jiang [paper]

• ACM MM 2024 DeepPointMap2: Accurate and Robust LiDAR-Visual SLAM with Neural Descriptors
  Xiaze Zhang, Ziheng Ding, Qi Jing, Ying Cheng, Wenchao Ding, Rui Feng [paper]

• ACM MM 2024 CT^2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart
  Bowen Zhao, Tianhao Cheng, Yuejie Zhang, Ying Cheng, Rui Feng, Xiaobo Zhang [paper]

• TMM 2023 Self-Supervised Learning of Music-Dance Representation through Explicit-Implicit Rhythm Synchronization
  Jiashuo Yu, Junfu Pu, Ying Cheng, Rui Feng, Ying Shan [paper]

• ACM MM 2022 MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization
  Jiashuo Yu, Ying Cheng, Ruiwei Zhao, Rui Feng [paper]

• ACM MM 2022 Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
  Jiashuo Yu, Jinyu Liu, Ying Cheng, Rui Feng, Yuejie Zhang [paper]

• ACM MM 2022 IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training
  Xinyu Huang, Youcai Zhang, Ying Cheng, Weiwei Tian, Rui-Wei Zhao, Rui Feng, Yuejie Zhang, Yaqian Li, Yandong Guo, Xiaobo Zhang [paper]

• ICME 2022 Self-Supervised Video Representation Learning with Motion-Contrastive Perception
  Jinyu Liu, Ying Cheng, Yuejie Zhang, Ruiwei Zhao, Rui Feng* [paper]

• ACM MM 2021 Exploring Logical Reasoning for Referring Expression Comprehension
  Ying Cheng, Ruize Wang, Jiashuo Yu, Rui-Wei Zhao, Yuejie Zhang, Rui Feng [paper]

• ICASSP 2021 Improving Multimodal Speech Enhancement by Incorporating Self-Supervised and Curriculum Learning
  Ying Cheng, Mengyu He, Jiashuo Yu, Rui Feng [paper]

• ICME 2021 MPN: Multimodal Parallel Network for Audio-Visual Event Localization
  Jiashuo Yu, Ying Cheng, Rui Feng [paper]

• ACM MM 2020 Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning
  Ying Cheng, Ruize Wang, Zhihao Pan, Rui Feng, Yuejie Zhang [paper]

• COLING 2020 Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication
  Ruize Wang, Zhongyu Wei, Ying Cheng, Piji Li, Haijun Shan, Ji Zhang, Qi Zhang, Xuanjing Huang [paper]

📖 Experience

• 2023.07 - 2025.07, Fudan University
  Postdoctoral Researcher in Computer Science
• 2018.09 - 2023.06, Fudan University
  Bachelor-PhD in Computer Science

🎖 Honors and Awards

• Outstanding Graduates of Shanghai, 2023
• National Scholarship of Ph.D (Top 1%), 2021
• National Scholarship of Ph.D (Top 1%), 2020
• Bao Gang Education Scholarship (Top 1%), 2017
• National Undergraduate Electronics Design Contest - National First Prize, 2017
• Microsoft Imagine Cup Global Student Technology Competition - National Third Prize & Regional First Prize, 2017
• National Undergraduate Mathematical Contest - National Second Prize, 2016
• Google College Student Mobile Internet Innovation Challenge - Silver Award, 2016