| 2026 | AAAI | Codebook-Centric Deep Hashing: End-to-End Joint Learning of Semantic Hash Centers and Neural Hash Function. | Shuo Yin, Zhiyuan Yin, Yuqing Hou, Rui Liu, Yong Chen, Dell Zhang |
| 2026 | ASPDAC | CombRewriter: Enabling Combinational Logic Simplification in MLIR-Based Hardware Compiler. | Haisheng Zheng, Zhuolun He, Shuo Yin, Yuzhe Ma, Bei Yu |
| 2026 | DATE | eLogic: An E-Graph-based Logic Rewriting Framework for Majority-Inverter Graphs. | Rongliang Fu, Wei Xuan, Shuo Yin, Guangyu Hu, Chen Chen, Hongce Zhang, Bei Yu, Tsung-Yi Ho |
| 2026 | DATE | IncreMacro-3D: Incremental Macro Placement for Face-to-Face Stacked Memory-on-Logic 3D ICs. | Lancheng Zou, Sing Sen Ye, Shuo Yin, Yuan Pu, Jiaxi Jiang, Siting Liu, Yuxuan Zhao, Bei Yu |
| 2025 | CIKM | SUMMA: A Multimodal Large Language Model for Advertisement Summarization. | Weitao Jia, Shuo Yin, Zhoufutu Wen, Han Wang, Zehui Dai, Kun Zhang, Zhenyu Li, Tao Zeng, Xiaohui Lv |
| 2025 | DAC | LVM-MO: A Large Vision Model Pioneer on Full-Chip Mask Optimization. | Yiwen Wu, Yuyang Chen, Shuo Yin, Nan Wang, Tao Wu, Xuming He, Hao Geng, Jingyi Yu |
| 2025 | ICCAD | G-Contour: GPU Accelerated Contour Tracing For Large-Scale Layouts. | Shuo Yin, Jiahao Xu, Jiaxi Jiang, Mingjun Li, Yuzhe Ma, Tsung-Yi Ho, Bei Yu |
| 2024 | AAAI | TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis. | Shuo Yin, Guoqiang Zhong |
| 2024 | ASPDAC | SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design. | Shixin Chen, Su Zheng, Chen Bai, Wenqian Zhao, Shuo Yin, Yang Bai, Bei Yu |
| 2024 | DAC | WinoGen: A Highly Configurable Winograd Convolution IP Generator for Efficient CNN Acceleration on FPGA. | Mingjun Li, Pengjia Li, Shuo Yin, Shixin Chen, Beichen Li, Chong Tong, Jianlei Yang, Tinghuan Chen, Bei Yu |
| 2024 | EMNLP | MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning. | Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai |
| 2024 | ICML | BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization. | Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu |
| 2024 | NAACL | MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models. | Weihao You, Shuo Yin, Xudong Zhao, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai |
| 2023 | ASPDAC | High-Dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. | Shuo Yin, Guohao Dai, Wei W. Xing |
| 2023 | EMNLP | ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs. | Yang Bai, Wenqian Zhao, Shuo Yin, Zixiao Wang, Bei Yu |
| 2023 | IJCAI | LGI-GT: Graph Transformers with Local and Global Operators Interleaving. | Shuo Yin, Guoqiang Zhong |
| 2023 | SSDBM | TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. | Quan Wan, Shuo Yin, Xiangyue Liu, Jianliang Gao, Yuhui Zhong |
| 2022 | DAC | Efficient bayesian yield analysis and optimization with active learning. | Shuo Yin, Xiang Jin, Linxu Shi, Kang Wang, Wei W. Xing |