| 2026 | PAKDD | MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information. | Jiaxi Li, Yucheng Shi, Xiao Huang, Jin Lu, Ninghao Liu |
| 2025 | AAAI | Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. | Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du |
| 2025 | ECAI | Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation. | Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan, Goncalo Mordido, Leonardo Lucio Custode, David Lynch, Giorgio Cruciata, Yucheng Shi, Hongmeng Song, Wang Chao, Pan Yue, Aleksandar Milenovic, Alexandros Agapitos |
| 2025 | ICLR | ECHOPulse: ECG Controlled Echocardio-gram Video Generation. | Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li |
| 2025 | ICLR | Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data. | Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu |
| 2025 | ICLR | Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient. | Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill |
| 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 | ICML | Concept-Centric Token Interpretation for Vector-Quantized Generative Models. | Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu |
| 2025 | IJCNN | Multi-stream Complementary Interchange Consistency for Semi-Supervised Medical Image Segmentation. | Yufei Gao, Hua Feng, Yucheng Shi, Lei Shi, Yameng Zhang |
| 2025 | IJCNN | SimMatch: Similarity threshold matching based framework for Semi-supervised medical image classification. | Yufei Gao, Shanyu Zhao, Yucheng Shi, Yan Cao |
| 2025 | IJCNN | AGNS : Adversarial Attack against Human Trajectory Model Based on Attention-guidance and Node-selection. | Xin Guo, Yucheng Shi, Lei Shi, Yufei Gao, Wenwen Li |
| 2025 | SMC | Breaking Monocular Depth Estimation with DepthHack: A Black-box 3D Physical Adversarial Attack for Autonomous Driving. | Yibo Sun, Yucheng Shi, Lei Shi, Lin Wei, Yufei Gao, Qiushi Li, Wenwen Li |
| 2025 | SC | UpANNS: Enhancing Billion-Scale ANNS Efficiency with Real-World PIM Architecture. | Sitian Chen, Amelie Chi Zhou, Yucheng Shi, Yusen Li, Xin Yao |
| 2024 | AAAI | Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract). | Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu |
| 2024 | BMVC | GLPI: A Global Layered Prompt Integration approach for Explicit Visual Prompt. | Yufei Gao, Bin Fu, Lei Shi, Chengming Liu, Yucheng Shi |
| 2024 | CIKM | Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. | Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu |
| 2024 | IROS | Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles. | Yucheng Shi, Wenlong Wang, Xiaowen Tao, Ivana Dusparic, Vinny Cahill |
| 2024 | WWW | Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. | Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu |
| 2023 | CIKM | GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. | Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu |
| 2023 | ICDM | ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. | Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang |
| 2021 | ICIG | Free Adversarial Training with Layerwise Heuristic Learning. | Haitao Zhang, Yucheng Shi, Benyu Dong, Yahong Han, Yuanzhang Li, Xiaohui Kuang |
| 2020 | CVPR | Polishing Decision-Based Adversarial Noise With a Customized Sampling. | Yucheng Shi, Yahong Han, Qi Tian |
| 2020 | ECCV | Extract and Merge: Superpixel Segmentation with Regional Attributes. | Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian |
| 2019 | CVPR | Curls & Whey: Boosting Black-Box Adversarial Attacks. | Yucheng Shi, Siyu Wang, Yahong Han |
| 2018 | ICPR | Universal Perturbation Generation for Black-box Attack Using Evolutionary Algorithms. | Sivy Wang, Yucheng Shi, Yahong Han |