Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical solution. - Zonglin Yang 001; Xinggang Wang (CoRR, 2019)

Improving Event Duration Prediction via Time-aware Pre-training. - Zonglin Yang 001; Xinya Du; Alexander M. Rush; Claire Cardie (EMNLP (Findings), 2020)

Finding the Pillars of Strength for Multi-Head Attention. - Jinjie Ni; Rui Mao 010; Zonglin Yang 001; Han Lei; Erik Cambria (ACL (1), 2023)

End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion. - Zonglin Yang 001; Xinya Du; Erik Cambria; Claire Cardie (EACL, 2023)

Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing. - Wei Li 076; Luyao Zhu; Wei Shao 009; Zonglin Yang 001; Erik Cambria (EMNLP (Findings), 2023)

Logical Reasoning over Natural Language as Knowledge Representation: A Survey. - Zonglin Yang 001; Xinya Du; Rui Mao 010; Jinjie Ni; Erik Cambria (CoRR, 2023)

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. - Zonglin Yang 001; Xinya Du; Junxian Li 001; Jie Zheng; Soujanya Poria; Erik Cambria (ACL (Findings), 2024)

Language Models as Inductive Reasoners. - Zonglin Yang 001; Li Dong 004; Xinya Du; Hao Cheng 002; Erik Cambria; Xiaodong Liu 003; Jianfeng Gao 001; Furu Wei (EACL (1), 2024)

A survey on semantic processing techniques. - Rui Mao 010; Kai He 001; Xulang Zhang; Guanyi Chen; Jinjie Ni; Zonglin Yang 001; Erik Cambria (Inf. Fusion, 2024)

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning. - Di Zhang; Jingdi Lei; Junxian Li 001; Xunzhi Wang; Yujie Liu; Zonglin Yang 001; Jiatong Li 003; Weida Wang; Suorong Yang; Jianbo Wu; Peng Ye 006; Wanli Ouyang; et al. (CVPR, 2025)

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. - Zonglin Yang 001; Wanhao Liu; Ben Gao; Tong Xie; Yuqiang Li; Wanli Ouyang; Soujanya Poria; Erik Cambria; Dongzhan Zhou (ICLR, 2025)

LLM4SR: A Survey on Large Language Models for Scientific Research. - Ziming Luo; Zonglin Yang 001; Zexin Xu; Wei Yang 013; Xinya Du (CoRR, 2025)

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition. - Yujie Liu; Zonglin Yang 001; Tong Xie; Jinjie Ni; Ben Gao; Yuqiang Li; Shixiang Tang; Wanli Ouyang; Erik Cambria; Dongzhan Zhou (CoRR, 2025)

MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback. - Wanhao Liu; Zonglin Yang 001; Jue Wang; Lidong Bing; Di Zhang; Dongzhan Zhou; Yuqiang Li; Houqiang Li; Erik Cambria; Wanli Ouyang (CoRR, 2025)

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search. - Zonglin Yang 001; Wanhao Liu; Ben Gao; Yujie Liu; Wei Li 076; Tong Xie; Lidong Bing; Wanli Ouyang; Erik Cambria; Dongzhan Zhou (CoRR, 2025)

Harnessing Large Language Models for Scientific Novelty Detection. - Yan Liu; Zonglin Yang 001; Soujanya Poria; Thanh-Son Nguyen; Erik Cambria (CoRR, 2025)

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization. - Xingxuan Li; Yao Xiao; Dianwen Ng; Hai Ye; Yue Deng 010; Xiang Lin; Bin Wang; Zhanfeng Mo; Chong Zhang; Yueyi Zhang; Zonglin Yang 001; Ruilin Li; et al. (CoRR, 2025)