2024 Conference List
| Author | Paper Name, Publication, Year |
| Shi Zheng, Chen Yang, Wang Hong, Fu Yaru, Yang Guanghua, Lei Hongjiang, Ma Shaodan | “BLER Analysis of HARQ-IR-Aided Short Packet Communications Over Correlated Fading Channels”, IEEE Wireless Communications and Networking Conference WCNC, Volume: , 2024 |
| Xiao Jinhao, Liu Yong, Chen Yunfeng, Wu Xianda, Hou Fen | “Throughput Maximization for Movable Antenna and IRS Enhanced Wireless Powered IoT Networks”, IEEE Wireless Communications and Networking Conference WCNC, Volume: , 2024 |
| Shen Pengfei, Shao Yulin, Pan Haoyuan, Lu Lu, Eldar Yonina C. | “Channel Cycle Time: A New Measure of Short-Term Fairness”, IEEE Wireless Communications and Networking Conference WCNC, Volume: , 2024 |
| Chen Yunfeng, Liu Yong, Xiao Jinhao, Wu Qunying, Zhang Han, Hou Fen | “Freshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks”, IEEE Wireless Communications and Networking Conference WCNC, Volume: , 2024 |
| Chen Yiming, Wu Haiwei, Zhou Jiantao | “Progressive Poisoned Data Isolation for Training-Time Backdoor Defense”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024 |
| Zhang Zhaofan, Xiao Yanan, Jiang Lu, Yang Dingqi, Yin Minghao, Wang Pengyang | “Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024 |
| Xu Shuning, Song Binbin, Chen Xiangyu, Zhou Jiantao | “Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024 |
| Yu Weijian, Yang Jie, Yang Dingqi | “Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning”, WWW 2024 – Proceedings of the ACM Web Conference, Volume: , 2024 |
| Liu Jun, Zhou Jiantao, Zeng Jiandian, Tian Jinyu | “DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024 |
| Li Fengpeng, Li Kemou, Tian Jinyu, Zhou Jiantao | “Regroup Median Loss for Combating Label Noise”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024 |
| Chen Junyang, Zou Guoxuan, Zhou Pan, Yirui Wu, Chen Zhenghan, Su Houcheng, Wang Huan, Gong Zhiguo | “Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 38, 2024 |
| Hu Xuanming, Fan Wei, Wang Dongjie, Wang Pengyang, Li Yong, Fu Yanjie | “Dual-stage Flows-based Generative Modeling for Traceable Urban Planning”, Proceedings of the 2024 SIAM International Conference on Data Mining SDM 2024, Volume: , 2024 |
| 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 |