Automatic classification of uncertain data by soft classifier. - Le Li 002; Zhiwen Yu 002; Zijian Feng; Xiaohang Zhang (ICMLC, 2011)

USOM: Mining and visualizing uncertain data based on self-organizing maps. - Le Li 002; Xiaohang Zhang; Zhiwen Yu 002; Zijian Feng; Ruiping Wei (ICMLC, 2011)

Face Recognition Algorithm Based on Weighted Intensity PCNN. - Hongxia Deng; Zijian Feng; Ying Liu; Dongsheng Luo; Xiaofeng Yang 005; Haifang Li 001 (CBD, 2020)

Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing. - Henghui Ding; Hui Zhang; Jun Liu 036; Jiaxin Li; Zijian Feng; Xudong Jiang 001 (ICCV, 2021)

MT-ORL: Multi-Task Occlusion Relationship Learning. - Panhe Feng; Qi She; Lei Zhu 012; Jiaxin Li; Lin Zhang 040; Zijian Feng; Changhu Wang; Chunpeng Li; Xuejing Kang; Anlong Ming (ICCV, 2021)

MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis. - Jiaxin Li; Zijian Feng; Qi She; Henghui Ding; Changhu Wang; Gim Hee Lee (ICCV, 2021)

NeMI: Unifying Neural Radiance Fields with Multiplane Images for Novel View Synthesis. - Jiaxin Li; Zijian Feng; Qi She; Henghui Ding; Changhu Wang; Gim Hee Lee (CoRR, 2021)

Manifold Learning Based on Straight-Like Geodesics and Local Coordinates. - Zhengming Ma; Zengrong Zhan; Zijian Feng; Jiajing Guo (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Deep-Learning-based System for Indoor Active Cleaning. - Yike Yun; Linjie Hou; Zijian Feng; Wei Jin; Yang Liu; Heng Wang; Ruonan He; Weitao Guo; Bo Han; Baoxing Qin; Jiaxin Li (IROS, 2022)

Coronavirus statistics causes emotional bias: a social media text mining perspective. - Linjiang Guo; Zijian Feng; Yuxue Chi; Mingzhu Wang; Yijun Liu (CoRR, 2022)

Tailored text augmentation for sentiment analysis. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Kezhi Mao (Expert Syst. Appl., 2022)

Closed Boundary Learning for Classification Tasks with the Universum Class. - Hanzhang Zhou; Zijian Feng; Kezhi Mao (EMNLP (Findings), 2023)

Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering. - Zijian Feng; Xin Chen; Zijian Lv; Peiyuan Sun; Kai Wu (CoRR, 2023)

Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies. - Zijian Lv; Xin Chen; Zijian Feng (CoRR, 2023)

Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction. - Hanzhang Zhou; Junlang Qian; Zijian Feng; Hui Lu; Zixiao Zhu; Kezhi Mao (CoRR, 2023)

Feature-aware conditional GAN for category text generation. - Xinze Li; Kezhi Mao; Fanfan Lin; Zijian Feng (Neurocomputing, 2023)

FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. - Zijian Feng; Hanzhang Zhou; Kezhi Mao; Zixiao Zhu (ACL (1), 2024)

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. - Hanzhang Zhou; Junlang Qian; Zijian Feng; Hui Lu; Zixiao Zhu; Kezhi Mao (ACL (1), 2024)

PromptExplainer: Explaining Language Models through Prompt-based Learning. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Kezhi Mao (EACL (Findings), 2024)

Unveiling and Manipulating Prompt Influence in Large Language Models. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Junlang Qian; Kezhi Mao (ICLR, 2024)

EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition. - Zixiao Zhu; Junlang Qian; Zijian Feng; Hanzhang Zhou; Kezhi Mao (NAACL-HLT (Findings), 2024)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation. - Hanzhang Zhou; Zijian Feng; Zixiao Zhu; Junlang Qian; Kezhi Mao (NeurIPS, 2024)

MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration. - Zixiao Zhu; Zijian Feng; Hanzhang Zhou; Junlang Qian; Kezhi Mao (CoRR, 2024)

Adaptive micro- and macro-knowledge incorporation for hierarchical text classification. - Zijian Feng; Kezhi Mao; Hanzhang Zhou (Expert Syst. Appl., 2024)

DGCPPISP: a PPI site prediction model based on dynamic graph convolutional network and two-stage transfer learning. - Zijian Feng; Weihong Huang; Haohao Li; Hancan Zhu; Yanlei Kang; Zhong Li (BMC Bioinform., 2024)

Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. - Junlang Qian; Zixiao Zhu; Hanzhang Zhou; Zijian Feng; Zepeng Zhai; Kezhi Mao (NAACL (Long Papers), 2025)

Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning. - Zixiao Zhu; Zijian Feng; Hanzhang Zhou; Junlang Qian; Kezhi Mao (NAACL (Long Papers), 2025)

Rethinking Prompt Optimizers: From Prompt Merits to Optimization. - Zixiao Zhu; Hanzhang Zhou; Zijian Feng; Tianjiao Li; Chua Jia Jim Deryl; Lee Onn Mak; Gee Wah Ng; Kezhi Mao (CoRR, 2025)