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2020 – today
- 2026
[j8]Yinlong Li, Licheng Pan, Hu Xu, Xinggao Liu
:
Negative samples filter of contrastive learning for time series classification. Expert Syst. Appl. 299: 130052 (2026)- [i14]Yitong Qiao, Licheng Pan, Yu Mi, Lei Liu, Yue Shen, Fei Sun, Zhixuan Chu:
Lowest Span Confidence: A Zero-Shot Metric for Efficient and Black-Box Hallucination Detection in LLMs. CoRR abs/2601.19918 (2026) - [i13]Licheng Pan, Hao Wang, Haocheng Yang, Yuqi Li, Qingsong Wen, Xiaoxi Li, Zhichao Chen, Haoxuan Li, Zhixuan Chu, Yuan Lu:
Deep Time-series Forecasting Needs Kernelized Moment Balancing. CoRR abs/2602.00717 (2026) - [i12]Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin:
Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective. CoRR abs/2602.01182 (2026) - [i11]Licheng Pan, Yunsheng Lu, Jiexi Liu, Jialing Tao, Haozhe Feng, Hui Xue, Zhixuan Chu, Kui Ren:
A Causal Perspective for Enhancing Jailbreak Attack and Defense. CoRR abs/2602.04893 (2026) - 2025
- [j7]Zhichao Chen, Licheng Pan, Yiran Ma, Zeyu Yang, Le Yao, Jinchuan Qian, Zhihuan Song:
$\mathrm{E}^{2}\text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling. IEEE CAA J. Autom. Sinica 12(4): 745-760 (2025) - [j6]Qijie Song, Jiaobo Jin, Tiantian Zhu, Tieming Chen, Mingqi Lv, Licheng Pan, Jian-Ping Mei, Xiang Pan:
VulnTrace: Tracking and Detecting Code Vulnerabilities with Historical Commits and Semantic Embeddings. Int. J. Softw. Eng. Knowl. Eng. 35(5): 679-706 (2025) - [j5]Licheng Pan, Hao Wang, Zhichao Chen, Yuxin Huang, Zhaoran Liu, Qunshan He, Xinggao Liu:
TMoE-P: Toward the Pareto Optimum for Multivariate Soft Sensors. IEEE Trans Autom. Sci. Eng. 22: 9315-9326 (2025) - [j4]Licheng Pan, Hao Wang, Zhichao Chen, Yuxin Huang, Yunlong Niu, Zhaoran Liu, Qunshan He, Xinggao Liu:
Controllable Mixture-of-Experts for Multivariate Soft Sensors. IEEE Trans Autom. Sci. Eng. 22: 19789-19800 (2025) - [j3]Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong:
Debiased Recommendation via Wasserstein Causal Balancing. ACM Trans. Inf. Syst. 43(6): 145:1-145:24 (2025) - [c1]Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu:
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary. EMNLP 2025: 21057-21075 - [i10]Hao Wang, Zhichao Chen, Licheng Pan, Xiaoyu Jiang, Yichen Song, Qunshan He, Xinggao Liu:
DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring. CoRR abs/2501.01342 (2025) - [i9]Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin:
TransDF: Time-Series Forecasting Needs Transformed Label Alignment. CoRR abs/2505.17847 (2025) - [i8]Licheng Pan, Zhichao Chen, Haoxuan Li, Guangyi Liu, Zhijian Xu, Zhaoran Liu, Hao Wang, Ying Wei:
Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting. CoRR abs/2505.17872 (2025) - [i7]Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu:
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary. CoRR abs/2505.18325 (2025) - [i6]Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song:
Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control. CoRR abs/2507.20277 (2025) - [i5]Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin:
DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment. CoRR abs/2510.24574 (2025) - [i4]Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin:
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models. CoRR abs/2511.00053 (2025) - 2024
- [j2]Hao Wang, Zhichao Chen, Zhaoran Liu, Licheng Pan, Hu Xu, Yilin Liao, Haozhe Li, Xinggao Liu:
SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation. IEEE Trans. Ind. Informatics 20(12): 14421-14429 (2024) - [i3]Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao:
FreDF: Learning to Forecast in Frequency Domain. CoRR abs/2402.02399 (2024) - 2023
- [j1]Yuxin Huang, Eric Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu:
Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts. IEEE Trans. Ind. Informatics 19(5): 6556-6564 (2023) - [i2]Licheng Pan, Hao Wang, Zhichao Chen, Yuxing Huang, Xinggao Liu:
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors. CoRR abs/2302.10477 (2023) - [i1]Yuxin Huang, Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu:
Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts. CoRR abs/2305.16360 (2023)
Coauthor Index
aka: Eric Hao Wang
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