Scheduling with alternative operations. - Jaekyoung Ahn; Weihua He; Andrew Kusiak (IEEE Trans. Robotics Autom., 1993)

Recognition of human activities with wearable sensors. - Weihua He; Yongcai Guo; Chao Gao; Xinke Li (EURASIP J. Adv. Signal Process., 2012)

Complementary cycles in regular bipartite tournaments. - Yandong Bai; Hao Li 002; Weihua He (Discret. Math., 2014)

Vertex-distinguishing proper arc colorings of digraphs. - Hao Li 002; Yandong Bai; Weihua He; Qiang Sun 004 (Discret. Appl. Math., 2016)

Hamiltonian cycles in spanning subgraphs of line graphs. - Hao Li 002; Weihua He; Weihua Yang; Yandong Bai (Discret. Appl. Math., 2016)

Universal arcs in tournaments. - Yandong Bai; Binlong Li; Hao Li 002; Weihua He (Discret. Math., 2016)

A Note on Edge-Disjoint Hamilton Cycles in Line Graphs. - Hao Li 002; Weihua He; Weihua Yang; Yandong Bai (Graphs Comb., 2016)

On the minimum Kirchhoff index of graphs with a given vertex k-partiteness and edge k-partiteness. - Weihua He; Hao Li 002; Shuofa Xiao (Appl. Math. Comput., 2017)

Hamiltonian paths in spanning subgraphs of line graphs. - Weihua He; Weihua Yang (Discret. Math., 2017)

Snowman is PSPACE-complete. - Weihua He; Ziwen Liu; Chao Yang 003 (Theor. Comput. Sci., 2017)

Quasi-potential field: the simulation of motivation in complex physical structures. - Yang Tian; Weihua He; Yihan Jia (SummerSim, 2019)

Theoretical and computational methods to minimize Kirchhoff index of graphs with a given edge k-partiteness. - Guixian Huang; Weihua He; Yuanyao Tan (Appl. Math. Comput., 2019)

A constructive characterization of contraction critical 8-connected graphs with minimum degree 9. - Chengfu Qin; Weihua He; Kiyoshi Ando (Discret. Math., 2019)

Estimating Robustness Through Kirchhoff Index in Mesh Graphs. - Yuming Peng; Jianyao Li; Weihua He (IEEE Access, 2020)

On Zagreb eccentricity indices of cacti. - Xiaodi Song; Jianping Li; Weihua He (Appl. Math. Comput., 2020)

On the Kirchhoff index of bipartite graphs with given diameters. - Xiaojing Jiang; Weihua He; Qiang Liu 031; Jianping Li (Discret. Appl. Math., 2020)

Locating any two vertices on Hamiltonian cycles in large graphs. - Weihua He; Hao Li 002; Qiang Sun 004 (Discret. Math., 2020)

A characterization of graphs with supereulerian line graphs. - Yufei Huang 007; Weihua He; Guixian Huang; Hong-Jian Lai; Sulin Song (Int. J. Comput. Math. Comput. Syst. Theory, 2020)

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. - Weihua He; Yujie Wu 002; Lei Deng 003; Guoqi Li 002; Haoyu Wang; Yang Tian; Wei Ding; Wenhui Wang 001; Yuan Xie 001 (Neural Networks, 2020)

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation. - Weihua He; Kaichao You; Zhendong Qiao; Xu Jia 012; Ziyang Zhang; Wenhui Wang 001; Huchuan Lu; Yaoyuan Wang; Jianxing Liao (CVPR, 2022)

Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow. - Song Wu; Kaichao You; Weihua He; Chen Yang; Yang Tian; Yaoyuan Wang; Ziyang Zhang; Jianxing Liao (ECCV (7), 2022)

Audio-Driven Stylized Gesture Generation with Flow-Based Model. - Sheng Ye; Yu-Hui Wen; Yanan Sun 006; Ying He 001; Ziyang Zhang; Yaoyuan Wang; Weihua He; Yong-Jin Liu 001 (ECCV (5), 2022)

Meta Talk: Learning To Data-Efficiently Generate Audio-Driven Lip-Synchronized Talking Face With High Definition. - Yuhan Zhang 006; Weihua He; Minglei Li; Kun Tian; Ziyang Zhang; Jie Cheng; Yaoyuan Wang; Jianxing Liao (ICASSP, 2022)

Assessing Graph Robustness through Modified Zagreb Index. - Rui Chen; Jianping Li; Weihua He (Axioms, 2022)

MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network. - Xiaoshan Wu; Weihua He; Man Yao; Ziyang Zhang; Yaoyuan Wang; Guoqi Li (CoRR, 2022)

An Event-Driven Spatiotemporal Domain Adaptation Method for DVS Gesture Recognition. - Yuhan Zhang 006; Lindong Wu; Weihua He; Ziyang Zhang; Chen Yang; Yaoyuan Wang; Ying Wang 008; Kun Tian; Jianxing Liao; Ying Yang 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Test-Time Training-Free Domain Adaptation. - Yongxiang Feng; Weihua He; Kaichao You; Bing Liu; Ziyang Zhang; Yaoyuan Wang; Minglei Li; Yihang Lou; Jiawei Li; Guoqi Li; Jianxing Liao (ICASSP, 2023)

Audio-Driven High Definetion and Lip-Synchronized Talking Face Generation Based on Face Reenactment. - Xianyu Wang; Yuhan Zhang 006; Weihua He; Yaoyuan Wang; Minglei Li; Yuchen Wang; Jingyi Zhang; Shunbo Zhou; Ziyang Zhang (ICASSP, 2023)

Event-Based Semantic Segmentation With Posterior Attention. - Zexi Jia; Kaichao You; Weihua He; Yang Tian; Yongxiang Feng; Yaoyuan Wang; Xu Jia 012; Yihang Lou; Jingyi Zhang; Guoqi Li 002; Ziyang Zhang (IEEE Trans. Image Process., 2023)

Neuromorphic-Enabled Implementation of Extremely Low-Power Gaze Estimation. - Zhipeng Sui; Weihua He; Fei Liang; Yongxiang Feng; Qiushuang Lian; Wenhui Wang 001 (VR Workshops, 2024)

Learn to solve dominating set problem with GNN and reinforcement learning. - Mujia Chen; Sihao Liu; Weihua He (Appl. Math. Comput., 2024)

Multi-scale full spike pattern for semantic segmentation. - Qiaoyi Su; Weihua He; Xiaobao Wei; Bo Xu 002; Guoqi Li 002 (Neural Networks, 2024)

Event-Assisted Blurriness Representation Learning for Blurry Image Unfolding. - Pengyu Zhang; Hao Ju; Lei Yu 006; Weihua He; Yaoyuan Wang; Ziyang Zhang; Qi Xu 008; Shengming Li; Dong Wang 004; Huchuan Lu; Xu Jia 012 (IEEE Trans. Image Process., 2024)

Network model with internal complexity bridges artificial intelligence and neuroscience. - Linxuan He; Yunhui Xu; Weihua He; Yihan Lin; Yang Tian; Yujie Wu 002; Wenhui Wang 001; Ziyang Zhang; Junwei Han 001; Yonghong Tian 001; Bo Xu 002; Guoqi Li 002 (Nat. Comput. Sci., 2024)

Event-Based Depth Prediction With Deep Spiking Neural Network. - Xiaoshan Wu; Weihua He; Man Yao; Ziyang Zhang; Yaoyuan Wang; Bo Xu 002; Guoqi Li 002 (IEEE Trans. Cogn. Dev. Syst., 2024)

E2B: A Single Modality Point-Based Tracker with Event Cameras. - Hongwei Ren; Zhuo Li; Aiersi Tuerhong; Haobo Liu; Fei Liang; Yongxiang Feng; Wenhui Wang 001; Yaoyuan Wang; Ziyang Zhang; Weihua He; Bojun Cheng (ICRA, 2025)

On the minimum Kirchhoff index of graphs with a given number of cut vertices. - Junlin Huang; Guixian Huang; Jianping Li; Weihua He (Discret. Appl. Math., 2025)

Data-Driven Assessment of Carbon Emission and Optimization of Carbon Emission Reduction in the Ceramic Industry. - Xingbin Huang; Weihua He (Entropy, 2025)

Graphs with Positive Ricci Curvature. - Qiqi Huang; Weihua He; Chaoqin Zhang (Graphs Comb., 2025)

Maximizing Asynchronicity in Event-based Neural Networks. - Haiqing Hao; Nikola Zubic; Weihua He; Zhipeng Sui; Davide Scaramuzza 001; Wenhui Wang 001 (CoRR, 2025)

Estimating graph robustness through the Kirchhoff index and sampling techniques. - Xingbin Huang; Rui Chen; Weihua He (J. Supercomput., 2025)

Event-Assisted Recurrent Network for Arbitrary-Temporal-Scale Blurry Image Unfolding. - Pengyu Zhang; Hao Ju; Weihua He; Yaoyuan Wang; Ziyang Zhang; Shengming Li; Dong Wang 004; Huchuan Lu; Xu Jia 012 (IEEE Trans. Neural Networks Learn. Syst., 2025)