Modeling and simulation of CMMs probe trigger pre-travel error. - Xiushui Ma; Xiaochao Qian; Guihua Li; Weihong Zhong (ISKE, 2010)

Compensatory Fuzzy Neural Network modeling in a wastewater treatment process. - Weihong Zhong; Hongwei Guan; Xiushui Ma; Xianghua Peng (ISKE, 2010)

The application of SSH technology in operation and management control platform development of mobile communication accounting system. - Xie Ma; Hui Yang; Neng Li; Xiongfei Zhi; Weihong Zhong (J. Comput. Methods Sci. Eng., 2015)

VRprofile: gene-cluster-detection-based profiling of virulence and antibiotic resistance traits encoded within genome sequences of pathogenic bacteria. - Jun Li; Cui Tai; Zixin Deng; Weihong Zhong; Yongqun He; Hong-Yu Ou (Briefings Bioinform., 2018)

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. - Weihong Zhong; Mao Zheng; Duyu Tang; Xuan Luo; Heng Gong; Xiaocheng Feng; Bing Qin 001 (AAAI, 2023)

Controllable Text Generation via Probability Density Estimation in the Latent Space. - Yuxuan Gu; Xiaocheng Feng; Sicheng Ma; Lingyuan Zhang; Heng Gong; Weihong Zhong; Bing Qin 001 (ACL (1), 2023)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuxuan Gu; Weihong Zhong; Xiachong Feng; Weijiang Yu; Weihua Peng; Duyu Tang; Dandan Tu; Bing Qin 001 (ACL (Findings), 2024)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. - Weihong Zhong; Xiaocheng Feng; Liang Zhao; Qiming Li; Lei Huang 021; Yuxuan Gu; Weitao Ma; Yuan Xu; Bing Qin 001 (ACL (1), 2024)

A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks. - Minzhe Huang; Changwei Nie; Weihong Zhong (CVPR Workshops, 2024)

Advancing Large Language Model Attribution through Self-Improving. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Liang Zhao; Yuchun Fan; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

Extending Context Window of Large Language Models from a Distributional Perspective. - Yingsheng Wu; Yuxuan Gu; Xiaocheng Feng; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. - Liang Zhao; Xiachong Feng; Xiaocheng Feng; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001; Ting Liu 001 (EMNLP (Findings), 2024)

Discrete Modeling via Boundary Conditional Diffusion Processes. - Yuxuan Gu; Xiaocheng Feng; Lei Huang 021; Yingsheng Wu; Zekun Zhou; Weihong Zhong; Kun Zhu 025; Bing Qin 001 (NeurIPS, 2024)

Rethinking Entity-level Unlearning for Large Language Models. - Weitao Ma; Xiaocheng Feng; Weihong Zhong; Lei Huang 021; Yangfan Ye; Bing Qin 001 (CoRR, 2024)

Length Controlled Generation for Black-box LLMs. - Yuxuan Gu; Wenjie Wang; Xiaocheng Feng; Weihong Zhong; Kun Zhu 025; Lei Huang 021; Tat-Seng Chua; Bing Qin 001 (CoRR, 2024)

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. - Xinmiao Yu; Xiaocheng Feng; Yun Li; Minghui Liao; Ya-Qi Yu; Xiachong Feng; Weihong Zhong; Ruihan Chen; Mengkang Hu; Jihao Wu; Duyu Tang; Dandan Tu; et al. (AAAI, 2025)

Length Controlled Generation for Black-box LLMs. - Yuxuan Gu; Wenjie Wang; Xiaocheng Feng; Weihong Zhong; Kun Zhu 025; Lei Huang 021; Ting Liu 001; Bing Qin 001; Tat-Seng Chua (ACL (1), 2025)

Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuchun Fan; Xiachong Feng; Yuxuan Gu; Yangfan Ye; Liang Zhao; Weihong Zhong; Baoxin Wang; Dayong Wu; Guoping Hu; et al. (ACL (1), 2025)

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuchun Fan; Xiachong Feng; Yangfan Ye; Weihong Zhong; Yuxuan Gu; Baoxin Wang; Dayong Wu; Guoping Hu; Bing Qin 001 (ACL (1), 2025)

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis. - Weitao Ma; Xiaocheng Feng; Weihong Zhong; Lei Huang 021; Yangfan Ye; Xiachong Feng; Bing Qin 001 (COLING, 2025)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. - Lei Huang 021; Weijiang Yu; Weitao Ma; Weihong Zhong; Zhangyin Feng; Haotian Wang 007; Qianglong Chen; Weihua Peng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (ACM Trans. Inf. Syst., 2025)

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy. - Zihao Feng; Xiaoxue Wang; Bowen Wu 001; Weihong Zhong; Zhen Xu 003; Hailong Cao; Tiejun Zhao; Ying Li 012; Baoxun Wang (CoRR, 2025)

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models. - Qiming Li; Zekai Ye; Xiaocheng Feng; Weihong Zhong; Libo Qin 001; Ruihan Chen; Baohang Li; Kui Jiang; Yaowei Wang; Ting Liu 001; Bing Qin 001 (CoRR, 2025)