Licheng Pan

According to our database, Licheng Pan authored at least 27 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Robust Reward Modeling for Large Language Models via Causal Decomposition.

Yunsheng Lu, Zijiang Yang, Licheng Pan, Zhixuan Chu

CoRR, April, 2026

ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment.

Hao Wang, Haocheng Yang, Licheng Pan, Lei Shen, Xiaoxi Li, Yinuo Wang, Zhichao Chen, Yuan Lu, Haoxuan Li, Zhouchen Lin

CoRR, March, 2026

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects.

Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu

CoRR, March, 2026

CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks.

Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zheng, Zhixuan Chu, Xiaoxi Li, Yuan Lu, Xinggao Liu, Haoxuan Li, Zhouchen Lin

CoRR, March, 2026

Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective.

Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin

CoRR, February, 2026

Deep Time-series Forecasting Needs Kernelized Moment Balancing.

Licheng Pan, Hao Wang, Haocheng Yang, Yuqi Li, Qingsong Wen, Xiaoxi Li, Zhichao Chen, Haoxuan Li, Zhixuan Chu, Yuan Lu

CoRR, February, 2026

Lowest Span Confidence: A Zero-Shot Metric for Efficient and Black-Box Hallucination Detection in LLMs.

Yitong Qiao, Licheng Pan, Yu Mi, Lei Liu, Yue Shen, Fei Sun, Zhixuan Chu

CoRR, January, 2026

Efficient Four-Level LOD Simplification for Single- and Multi-Mesh 3D Scenes Towards Scalable BIM/GIS/Digital Twin Integration.

Siyuan Sun, Lin Su, Xukun Yang, Chunyu Qi, Xinyu Liu, Licheng Pan, Qilin Zhang

ISPRS Int. J. Geo Inf., 2026

Negative samples filter of contrastive learning for time series classification.

Yinlong Li, Licheng Pan, Hu Xu, Xinggao Liu

Expert Syst. Appl., 2026

A Causal Perspective for Enhancing Jailbreak Attack and Defense.

Licheng Pan, Yunsheng Lu, Jiexi Liu, Jialing Tao, Haozhe Feng, Hui Xue, Zhixuan Chu, Kui Ren

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025

Debiased Recommendation via Wasserstein Causal Balancing.

Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong

ACM Trans. Inf. Syst., November, 2025

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models.

Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin

CoRR, November, 2025

DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment.

Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin

CoRR, October, 2025

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control.

Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song

CoRR, July, 2025

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting.

Licheng Pan, Zhichao Chen, Haoxuan Li, Guangyi Liu, Zhijian Xu, Zhaoran Liu, Hao Wang, Ying Wei

CoRR, May, 2025

TransDF: Time-Series Forecasting Needs Transformed Label Alignment.

Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin

CoRR, May, 2025

$\mathrm{E}^{2}\text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling.

Zhichao Chen, Licheng Pan, Yiran Ma, Zeyu Yang, Le Yao, Jinchuan Qian, Zhihuan Song

IEEE CAA J. Autom. Sinica, April, 2025

DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring.

Hao Wang, Zhichao Chen, Licheng Pan, Xiaoyu Jiang, Yichen Song, Qunshan He, Xinggao Liu

CoRR, January, 2025

Controllable Mixture-of-Experts for Multivariate Soft Sensors.

Licheng Pan, Hao Wang, Zhichao Chen, Yuxin Huang, Yunlong Niu, Zhaoran Liu, Qunshan He, Xinggao Liu

IEEE Trans Autom. Sci. Eng., 2025

TMoE-P: Toward the Pareto Optimum for Multivariate Soft Sensors.

Licheng Pan, Hao Wang, Zhichao Chen, Yuxin Huang, Zhaoran Liu, Qunshan He, Xinggao Liu

IEEE Trans Autom. Sci. Eng., 2025

VulnTrace: Tracking and Detecting Code Vulnerabilities with Historical Commits and Semantic Embeddings.

Qijie Song, Jiaobo Jin, Tiantian Zhu, Tieming Chen, Mingqi Lv, Licheng Pan, Jian-Ping Mei, Xiang Pan

Int. J. Softw. Eng. Knowl. Eng., 2025

Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary.

Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation.

Hao Wang, Zhichao Chen, Zhaoran Liu, Licheng Pan, Hu Xu, Yilin Liao, Haozhe Li, Xinggao Liu

IEEE Trans. Ind. Informatics, December, 2024

FreDF: Learning to Forecast in Frequency Domain.

Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao

CoRR, 2024

2023

Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts.

Yuxin Huang, Eric Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu

IEEE Trans. Ind. Informatics, May, 2023

Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts.

Yuxin Huang, Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu

CoRR, 2023

TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors.

Licheng Pan, Hao Wang, Zhichao Chen, Yuxing Huang, Xinggao Liu

CoRR, 2023