- Xizhan Gao
, Sijie Niu, Dong Wei, Xingrui Liu, Tingwei Wang, Fa Zhu, Jiwen Dong, Quansen Sun:
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6731-6745 (2024) - Cheng Niu, Xingguang Wang, Xuxin Cheng, Juntong Song, Tong Zhang:
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation. ACL (1) 2024: 8724-8741 - Hao Niu, Maoyi Wang, Yun Xiong, Biao Yang, Xing Jia, Zhonglei Guo:
Linking Adaptive Structure Induction and Neuron Filtering: A Spectral Perspective for Aspect-based Sentiment Analysis. LREC/COLING 2024: 10584-10597 - Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte, Xiaoxia Xing, Hyunhee Park, Sejun Song, Changho Kim, Xiangyu Kong, Jinlong Wu, Jianxing Zhang, Jingfan Tan, Zikun Liu, Wenhan Luo, Wenjie Lin, Chengzhi Jiang, Mingyan Han, Zhen Liu, Ting Jiang, Jinting Luo, Shen Cheng, Linze Li, Xinhan Niu, Shuaicheng Liu, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yu Cao, Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu:
NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results. CVPR Workshops 2024: 6153-6166 - Fenghua Tang, Yifang Li, Ke Xu, Tingting Guo, Yuchen Li, Jiayao Li, Simin Ren, Zihan Niu, Xingyi Liu, Xinyi An, Yuxin Miao, Xinran Xu, Yiqi Chen, Lingjun Liu, Dan Qiu, Jiaqing Xiong, Bowen Li, Ruonan Huang, Mengmeng Xu, Yang Guo, Wei Liu:
Empowering Work-Life Harmony: Introducing a Porsche-Inspired Voice Digital Assistants Tailored for Women. HCI (33) 2024: 365-375 - Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu:
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula. ICRA 2024: 6850-6857 - Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao:
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. ICRA 2024: 10800-10806 - Donghao Han, Xing Tong, Changxing Huo, Huan Ma, Xi Guo, Bingxu Li, Lijie Niu, Hao Liu:
Experimental Flight Verification of Radio Frequency Interference Mitigation Method in MICAP L-Band Radiometer. IGARSS 2024: 9174-9177 - Bingxu Li, Xi Guo, Hao Liu, Donghao Han, Xing Tong, Cheng Zhang, Lijie Niu, Gang Li, Wu Zhou:
MICAP Radiometer Airborne Campaign: Preliminary Results of L/C/K Tri-Frequency Interferometric Radiometer. IGARSS 2024: 6713-6716 - Dianjing Cheng, Xingyu Wu, Zhenghao Xie, Zhihua Cui, Qiong Li, Endong Tong, Wenjia Niu, Ziyi Wei, Xinyi Zhao:
Recognition of Signal Modulation Pattern Based on Multi-task Self-supervised Learning. Intelligent Information Processing (2) 2024: 32-45 - Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su:
BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation. IJCAI 2024: 6044-6052 - Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su:
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. IJCAI 2024: 2625-2633 - Jiayin Song, Yike Li, Yunzhe Tian, Xingyu Wu, Qiong Li, Endong Tong, Wenjia Niu, Zhenguo Zhang, Jiqiang Liu:
Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning. KSEM (3) 2024: 336-348 - Kun Dong, Jian Xue, Zehai Niu, Xing Lan, Ke Lu, Qingyuan Liu, Xiaoyu Qin:
Realistic Full-Body Motion Generation from Sparse Tracking with State Space Model. ACM Multimedia 2024: 4024-4033 - Ruohao Guo, Dantong Niu, Liao Qu, Yanyu Qi, Ji Shi, Wenzhen Yue, Bowei Xing, Taiyan Chen, Xianghua Ying:
Instance-Level Panoramic Audio-Visual Saliency Detection and Ranking. ACM Multimedia 2024: 9426-9434 - Ruohao Guo, Liao Qu, Dantong Niu, Yanyu Qi, Wenzhen Yue, Ji Shi, Bowei Xing, Xianghua Ying:
Open-Vocabulary Audio-Visual Semantic Segmentation. ACM Multimedia 2024: 7533-7541 - Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su:
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition. ACM Multimedia 2024: 7172-7181 - Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang:
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. ACM Multimedia 2024: 11060-11069 - Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nadejde, Xing Niu, Ron Litman, Yair Kittenplon, Raghavendra Reddy Pappagari:
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation. NAACL (Short Papers) 2024: 499-507 - Jiahe Cui, Shuyao Shi, Yuze He, Jianwei Niu, Guoliang Xing, Zhenchao Ouyang:
VILAM: Infrastructure-assisted 3D Visual Localization and Mapping for Autonomous Driving. NSDI 2024 - Yong Niu, Xing Xing, Zhichun Jia, Ruidi Liu, Mindong Xin, Jianfu Cui:
Diffusion Recommendation with Implicit Sequence Influence. WWW (Companion Volume) 2024: 1719-1725 - Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua, Rong Jin:
Jailbreaking Attack against Multimodal Large Language Model. CoRR abs/2402.02309 (2024) - He Zhu, Wenjia Zhang, Nuoxian Huang, Boyang Li, Luyao Niu, Zipei Fan, Tianle Lun, Yicheng Tao, Junyou Su, Zhaoya Gong, Chenyu Fang, Xing Liu:
PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval. CoRR abs/2402.19273 (2024) - Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao:
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR abs/2403.18197 (2024) - Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang:
The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. CoRR abs/2404.01204 (2024) - Lijun Liu, Jiali Yang, Jianfei Song, Xinglin Yang, Lele Niu, Zeqi Cai, Hui Shi, Tingjun Hou, Chang-Yu Hsieh, Weiran Shen, Yafeng Deng:
AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation. CoRR abs/2404.10573 (2024) - Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, Rohit Paturi, Zhaocheng Huang, Prashant Mathur, Jie Yuan, Dhanush Bekal, Xing Niu, Sai Muralidhar Jayanthi, Xilai Li, Karel Mundnich, Monica Sunkara, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff:
SpeechVerse: A Large-scale Generalizable Audio Language Model. CoRR abs/2405.08295 (2024) - Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu:
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR abs/2405.08816 (2024) - Cheng Niu, Xingguang Wang, Xuxin Cheng, Juntong Song, Tong Zhang:
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation. CoRR abs/2405.13037 (2024) - Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su:
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. CoRR abs/2405.19789 (2024)
