Zhou Yucheng, Shen Tao, Geng Xiubo, Tao Chongyang, Shen Jianbing, Long Guodong, Xu Can, Jiang Daxin “Fine-Grained Distillation for Long Document Retrieval”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024
Wu Dongming, Chang Jiahao, Jia Fan, Liu Yingfei, Wang Tiancai, Shen Jianbing “TOPOMLP: A SIMPLE YET STRONG PIPELINE FOR DRIVING TOPOLOGY REASONING”, 12th International Conference on Learning Representations ICLR 2024, Volume: , 2024
Li Xiang, Yin Junbo, Li Wei, Xu Chengzhong, Yang Ruigang, Shen Jianbing “DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024
Li Xingjian, Yang Pengkun, Gu Yangcheng, Zhan Xueying, Wang Tianyang, Xu Min, Xu Chengzhong “Deep Active Learning with Noise Stability”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024
Liao Donping, Gao Xitong, Xu Chengzhong “Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024
Chan Tsz Nam, Li Zhe, Leong Hou U., Cheng Reynold “PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM haoExtended abstract)”, Proceedings – International Conference on Data Engineering, Volume: , 2024