RTSRGAN: Real-Time Super-Resolution Generative Adversarial Networks. - Xiaoyan Hu; Xiangjun Liu; Zechen Wang; Xinran Li; Wenqiang Peng; Guang Cheng 001 (CBD, 2019)

Exploiting Extensive External Information for Event Detection Through Semantic Networks Word Representation and Attention Map. - Zechen Wang; Shupeng Wang; Lei Zhang; Yong Wang (ICCS (1), 2021)

Exploring real-time super-resolution generative adversarial networks. - Xiaoyan Hu; Zechen Wang; Xiangjun Liu; Xinran Li; Guang Cheng 001; Jian Gong (Int. J. Sens. Networks, 2021)

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. - Guanting Dong; Daichi Guo; Liwen Wang; Xuefeng Li 002; Zechen Wang; Chen Zeng; Keqing He 001; Jinzheng Zhao; Hao Lei; Xinyue Cui; Yi Huang; Junlan Feng; et al. (COLING, 2022)

Event Detection Based on Multilingual Information Enhanced Syntactic Dependency GCN. - Zechen Wang; Binbin Li 001; Yong Wang 032 (KSEM (3), 2022)

Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term. - Liangzhen Zheng; Jintao Meng 001; Kai Jiang; Haidong Lan; Zechen Wang; Mingzhi Lin; Weifeng Li; Hongwei Guo; Yanjie Wei; Yuguang Mu (Briefings Bioinform., 2022)

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. - Weihao Zeng; Keqing He 001; Zechen Wang; Dayuan Fu; Guanting Dong; Ruotong Geng; Pei Wang; Jingang Wang; Chaobo Sun; Wei Wu 014; Weiran Xu (CoRR, 2022)

A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. - Guanting Dong; Zechen Wang; Jinxu Zhao; Gang Zhao; Daichi Guo; Dayuan Fu; Tingfeng Hui; Chen Zeng; Keqing He 001; Xuefeng Li 002; Liwen Wang; Xinyue Cui; et al. (CIKM, 2023)

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. - Guanting Dong; Zechen Wang; Liwen Wang; Daichi Guo; Dayuan Fu; Yuxiang Wu; Chen Zeng; Xuefeng Li 002; Tingfeng Hui; Keqing He 001; Xinyue Cui; QiXiang Gao; et al. (ICASSP, 2023)

Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. - Daichi Guo; Guanting Dong; Dayuan Fu; Yuxiang Wu; Chen Zeng; Tingfeng Hui; Liwen Wang; Xuefeng Li 002; Zechen Wang; Keqing He 001; Xinyue Cui; Weiran Xu (ICASSP, 2023)

Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. - Guanting Dong; Jinxu Zhao; Tingfeng Hui; Daichi Guo; Wenlong Wang; Boqi Feng; Yueyan Qiu; Zhuoma Gongque; Keqing He 001; Zechen Wang; Weiran Xu (NLPCC (1), 2023)

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. - Daichi Guo; Guanting Dong; Dayuan Fu; Yuxiang Wu; Chen Zeng; Tingfeng Hui; Liwen Wang; Xuefeng Li 002; Zechen Wang; Keqing He 001; Xinyue Cui; Weiran Xu (CoRR, 2023)

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. - Jiachi Liu; Liwen Wang; Guanting Dong; Xiaoshuai Song; Zechen Wang; Zhengyang Wang; Shanglin Lei; Jinzheng Zhao; Keqing He 001; Bo Xiao; Weiran Xu (CoRR, 2023)

Improved Dense Nested Attention Network Based on Transformer for Infrared Small Target Detection. - Chun Bao; Jie Cao 004; Yaqian Ning; Tianhua Zhao; Zhijun Li; Zechen Wang; Li Zhang 044; Qun Hao (CoRR, 2023)

A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function. - Zechen Wang; Liangzhen Zheng; Sheng Wang 001; Mingzhi Lin; Zhihao Wang; Adams Wai-Kin Kong; Yuguang Mu; Yanjie Wei; Weifeng Li (Briefings Bioinform., 2023)

Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design. - Hilbert Yuen In Lam; Robbe Pincket; Hao Han; Xing Er Ong; Zechen Wang; Jamie Hinks; Yanjie Wei; Weifeng Li; Liangzhen Zheng; Yuguang Mu (Nat. Mac. Intell., 2023)

AOGC: Anchor-Free Oriented Object Detection Based on Gaussian Centerness. - Zechen Wang; Chun Bao; Jie Cao 004; Qun Hao (Remote. Sens., 2023)

A new paradigm for applying deep learning to protein-ligand interaction prediction. - Zechen Wang; Sheng Wang 001; Yangyang Li; Jingjing Guo; Yanjie Wei; Yuguang Mu; Liangzhen Zheng; Weifeng Li (Briefings Bioinform., 2024)

Fully Flexible Molecular Alignment Enables Accurate Ligand Structure Modeling. - Zhihao Wang; Fan Zhou; Zechen Wang; Qiuyue Hu; Yong-Qiang Li; Sheng Wang; Yanjie Wei; Liangzhen Zheng; Weifeng Li; Xiangda Peng (J. Chem. Inf. Model., 2024)

A Joint Network of Super-Resolution and Active Learning for Agricultural Land Classification. - Jiachen Yang; Zechen Wang; Desheng Chen; Shuai Xiao 001; Ahmad Taher Azar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. - Guanting Dong; Yutao Zhu 001; Chenghao Zhang 001; Zechen Wang; Ji-Rong Wen; Zhicheng Dou (WWW, 2025)

Evaluations of the Perturbation Resistance of the Deep-Learning-Based Ligand Conformation Optimization Algorithm. - Minghui Xin; Zechen Wang; Zhihao Wang; Yuanyuan Qu; Yanmei Yang; Yong-Qiang Li; Ming-Wen Zhao; Liangzhen Zheng; Yuguang Mu; Weifeng Li (J. Chem. Inf. Model., 2025)