| 2026 | EACL | Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition. | Shanshan Liu, Noriki Nishida, Fei Cheng, Narumi Tokunaga, Rumana Ferdous Munne, Yuki Yamagata, Kouji Kozaki, Takehito Utsuro, Yuji Matsumoto |
| 2025 | ACL | MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection. | Shanshan Liu, Menglong Lu, Zhen Huang, Zejiang He, Liu Liu, Zhigang Sun, Dongsheng Li |
| 2025 | ACL | MA-COIR: Leveraging Semantic Search Index and Generative Models for Ontology-Driven Biomedical Concept Recognition. | Shanshan Liu, Noriki Nishida, Rumana Ferdous Munne, Narumi Tokunaga, Yuki Yamagata, Kouji Kozaki, Yuji Matsumoto |
| 2025 | COLING | Zero-Shot Entailment Learning for Ontology-Based Biomedical Annotation Without Explicit Mentions. | Rumana Ferdous Munne, Noriki Nishida, Shanshan Liu, Narumi Tokunaga, Yuki Yamagata, Kouji Kozaki, Yuji Matsumoto |
| 2025 | EMNLP | GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection. | Zejiang He, Jingyuan Huang, Menglong Lu, Zhen Huang, Shanshan Liu, Zhiliang Tian, Dong Sheng Li |
| 2025 | HCI | Exploration of the Application of Virtual Exhibition Technology in the Dissemination of Traditional Chinese Medicine Culture. | Shanshan Liu, Yuanfang Zhao |
| 2025 | ICCV | MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning. | Tianhong Gao, Yannian Fu, Weiqun Wu, Haixiao Yue, Shanshan Liu, Gang Zhang |
| 2024 | ISCAS | Reducing the Energy Dissipation of Large Language Models (LLMs) with Approximate Memories. | Zhen Gao, Jie Deng, Pedro Reviriego, Shanshan Liu, Fabrizio Lombardi |
| 2024 | SMC | An Efficient Multi-Layer Indexing Method on Blockchain for Multimodal Data Querying. | Haoyu Jia, Xiaoming Wu, Shanshan Liu, Qile Yuan, Bei Qi, Xiangzhi Liu |
| 2023 | ISCAS | Feature-Embedding Triplet Networks with a Separately Constrained Loss Function. | Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi |
| 2022 | ISCAS | Tampering Attack Detection in Analog to Feature Converter for Wearable Biosensor. | Xiaochen Tang, Shanshan Liu, Wenjie Che, Wei Tang |
| 2021 | AAAI | PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network. | Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi |
| 2021 | CNSM | Analyzing and Assessing Pollution Attacks on Bloom Filters: Some Filters are More Vulnerable than Others. | Pedro Reviriego, Ori Rottenstreich, Shanshan Liu, Fabrizio Lombardi |
| 2021 | ICONIP | Open-Set Recognition with Dual Probability Learning. | Shanshan Liu, Fenglei Yang |
| 2017 | ASPDAC | Reliability analysis of memories suffering MBUs for the effect of negative bias temperature instability. | Shanshan Liu, Liyi Xiao, Xuebing Cao, Zhigang Mao |
| 2015 | ICIP | Difference of Gaussian statistical features based blind image quality assessment: A deep learning approach. | Yaqi Lv, Gangyi Jiang, Mei Yu, Haiyong Xu, Feng Shao, Shanshan Liu |
| 2014 | CIS | A Chosen-Plaintext Method of CPA on SM4 Block Cipher. | Weijun Shan, Lihui Wang, Qing Li, Limin Guo, Shanshan Liu, Zhimin Zhang |
| 2013 | HPCC | Finding Heavy-Hitter by Periodically Deleting Small Flows. | Lili Wang, Weijiang Liu, Shanshan Liu |
| 2009 | FM | Fair Model Checking with Process Counter Abstraction. | Jun Sun, Yang Liu, Abhik Roychoudhury, Shanshan Liu, Jin Song Dong |
| 2009 | BSN | BSN Simulator: Optimizing Application Using System Level Simulation. | Ioana Cutcutache, Thi Thanh Nga Dang, Wai Kay Leong, Shanshan Liu, Kathy Dang Nguyen, Linh Thi Xuan Phan, Joon Edward Sim, Zhenxin Sun, Teck Bok Tok, Lin Xu, Francis Eng Hock Tay, Weng-Fai Wong |
| 2007 | PDCAT | Local Reputation for P2P MMOG Design. | Shanshan Liu, Jinlong Li, Xufa Wang |