| 2026 | ACL | Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization. | Xu Chu, Guanyu Wang, Zhijie Tan, Xinrong Chen, Ziyu Li, Tong Mo, Weiping Li |
| 2026 | ACL | SGG-R^ 3: From Next-Token Prediction to End-to-End Unbiased Scene Graph Generation. | Jiaye Feng, Qixiang Yin, Yuankun Liu, Tong Mo, Weiping Li |
| 2026 | ACL | RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes Domains. | Zhijie Tan, Xu Chu, Guanyu Wang, Ziyu Li, Weiping Li, Tong Mo |
| 2026 | ACL | MuSe: Multi-Stage Graph Reasoning via Vision-Language Models. | Guanyu Wang, Xu Chu, Zhijie Tan, Xinrong Chen, Tong Mo, Weiping Li |
| 2026 | DASFAA | Not All Neighbors are Temporally Relevant: An Adaptive Neighborhood Aggregation Framework for Dynamic Graph Learning. | Bingce Wang, Weiping Li, Tong Mo, Xiang Yuan, Xu Chu, Liwen Zhang |
| 2026 | DASFAA | MORE-R1: Guiding LVLM for Multimodal Object-Entity Relation Extraction via Stepwise Reasoning with Reinforcement Learning. | Xiang Yuan, Xu Chu, Xinrong Chen, Haochen Li, Zonghong Dai, Hongcheng Fan, Xiaoyue Yuan, Weiping Li, Tong Mo |
| 2025 | ACL | Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains. | Xu Chu, Zhijie Tan, Hanlin Xue, Guanyu Wang, Tong Mo, Weiping Li |
| 2025 | EMNLP | GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors. | Xinrong Chen, Hengyuan Zhang, Yingmin Qiu, Xiao Liang, Ziyue Li, Guanyu Wang, Weiping Li, Tong Mo, Hayden Kwok-Hay So, Ngai Wong |
| 2025 | ICASSP | Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning. | Xu Chu, Hanlin Xue, Bingce Wang, Xiaoyang Liu, Weiping Li, Tong Mo, Tuoyu Feng, Zhijie Tan |
| 2025 | ICASSP | Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions. | Zhijie Tan, Yuzhi Li, Shengwei Meng, Xiang Yuan, Weiping Li, Tong Mo, Bingce Wang, Xu Chu |
| 2025 | IJCNN | CLEAR-KGQA: Clarification-Enhanced Ambiguity Resolution for Knowledge Graph Question Answering. | Liqiang Wen, Guanming Xiong, Tong Mo, Bing Li, Weiping Li, Wen Zhao |
| 2025 | NAACL | Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling. | Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang |
| 2025 | PAKDD | EquityNet: Unveiling Corporate Equity Relationships in Business Conglomerates Using Graph Neural Networks and GDV Features. | B. Li, Bingce Wang, Lifeng Li, Weiping Li, Tong Mo |
| 2024 | DASFAA | Social Relation Enhanced Heterogeneous Graph Contrastive Learning for Recommendation. | Jiaxi Wang, Bingce Wang, Liwen Zhang, Tong Mo, Weiping Li |
| 2024 | ICWS | LLM-MHR: A LLM-Augmented Multimodal Hashtag Recommendation Algorithm. | Zhijie Tan, Yuzhi Li, Xiang Yuan, Shengwei Meng, Weiping Li, Tong Mo |
| 2023 | ACL | Improving Knowledge Graph Completion with Generative Hard Negative Mining. | Zile Qiao, Wei Ye, Dingyao Yu, Tong Mo, Weiping Li, Shikun Zhang |
| 2023 | ADMA | Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations. | Yinyi Wei, Shuaipeng Liu, Hailei Yan, Wei Ye, Tong Mo, Guanglu Wan |
| 2023 | DASFAA | PMJEE: A Prototype Matching Framework for Joint Event Extraction. | Haochen Li, Tong Mo, Di Geng, Weiping Li |
| 2023 | DASFAA | Adversarial Learning Enhanced Social Interest Diffusion Model for Recommendation. | Jiaxi Wang, Haochen Li, Tong Mo, Weiping Li |
| 2023 | ICANN | Whisker Analysis Framework for Unrestricted Mice with Neural Networks. | Zhijie Tan, Shengwei Meng, Yujia Tan, Yiqun Wu, Yi Li, Tong Mo, Weiping Li |
| 2023 | ICONIP | Heterogeneous Graph Fusion with Adversarial Learning for Recommendation Service. | Jiaxi Wang, Tong Mo, Weiping Li |
| 2022 | COLING | KiPT: Knowledge-injected Prompt Tuning for Event Detection. | Haochen Li, Tong Mo, Hongcheng Fan, Jingkun Wang, Jiaxi Wang, Fuhao Zhang, Weiping Li |
| 2022 | COLING | Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs. | Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang |
| 2022 | COLING | DESED: Dialogue-based Explanation for Sentence-level Event Detection. | Yinyi Wei, Shuaipeng Liu, Jianwei Lv, Xiangyu Xi, Hailei Yan, Wei Ye, Tong Mo, Fan Yang, Guanglu Wan |
| 2022 | ICANN | Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer. | Yinyi Wei, Tong Mo, Yongtao Jiang, Weiping Li, Wen Zhao |
| 2022 | SoCS | A Memory-Bounded Best-First Beam Search and Its Application to Scheduling Halide Programs. | Chao Gao, Jingwei Chen, Tong Mo, Tanvir Sajed, Shangling Jui, Min Qin, Laiyuan Gong, Wei Lu |
| 2021 | IJCNN | Bilateral Autotrading Framework for Stock Prediction. | Qifei Zhou, Hucheng Liu, Weiping Li, Tong Mo, Bo Wu |
| 2021 | ICTAI | Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. | Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu |
| 2020 | COLING | Enhancing Neural Models with Vulnerability via Adversarial Attack. | Rong Zhang, Qifei Zhou, Bo An, Weiping Li, Tong Mo, Bo Wu |
| 2020 | ESORICS | Detection by Attack: Detecting Adversarial Samples by Undercover Attack. | Qifei Zhou, Rong Zhang, Bo Wu, Weiping Li, Tong Mo |
| 2020 | IJCNN | Legal Feature Enhanced Semantic Matching Network for Similar Case Matching. | Zhilong Hong, Qifei Zhou, Rong Zhang, Weiping Li, Tong Mo |
| 2020 | Interspeech | Neural Architecture Search for Keyword Spotting. | Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui |
| 2020 | SDM | What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis. | Rong Zhang, Qifei Zhou, Bo Wu, Weiping Li, Tong Mo |
| 2011 | ICWS | An Event Driven Model for Context-Aware Service. | Tong Mo, Weiping Li, Weijie Chu, Zhonghai Wu |