Xiang Deng - RankMe

42 papers A* 15A 1B 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation. CoRR Xuening Zhang, Qi Lv, Xiang Deng, Miao Zhang, Xingbo Liu, Liqiang Nie
2026	J	`jnl`	EnergyAction: Unimanual to Bimanual Composition with Energy-Based Models. CoRR Mingchen Song, Xiang Deng, Jie Wei, Dongmei Jiang, Liqiang Nie, Weili Guan
2025	A*	`conf`	3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. ICLR Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	J	`jnl`	3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. CoRR Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	J	`jnl`	DAgger Diffusion Navigation: DAgger Boosted Diffusion Policy for Vision-Language Navigation. CoRR Haoxiang Shi, Xiang Deng, Zaijing Li, Gongwei Chen, Yaowei Wang, Liqiang Nie
2025	J	`jnl`	Embodied Crowd Counting. CoRR Runling Long, Yunlong Wang, Jia Wan, Xiang Deng, Xinting Zhu, Weili Guan, Antoni B. Chan, Liqiang Nie
2025	J	`jnl`	Few-Shot Vision-Language Action-Incremental Policy Learning. CoRR Mingchen Song, Xiang Deng, Guoqiang Zhong, Qi Lv, Jia Wan, Yinchuan Li, Jianye Hao, Weili Guan
2025	A*	`conf`	STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. ICML Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	J	`jnl`	STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. CoRR Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	A*	`conf`	Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. CVPR Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
2025	J	`jnl`	Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. CoRR Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
2025	A*	`conf`	UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents. ACM Multimedia Jianqiang Xiao, Yuexuan Sun, Yixin Shao, Boxi Gan, Rongqiang Liu, Yanjin Wu, Weili Guan, Xiang Deng
2025	J	`jnl`	UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents. CoRR Jianqiang Xiao, Yuexuan Sun, Yixin Shao, Boxi Gan, Rongqiang Liu, Yanjin Wu, Weili Guan, Xiang Deng
2025	A*	`conf`	Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters. ICML Hongyi Wang, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie
2024	A*	`conf`	Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL. NeurIPS Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie
2024	J	`jnl`	Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL. CoRR Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie
2024	J	`jnl`	EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024. CoRR Letian Shi, Qi Lv, Xiang Deng, Liqiang Nie
2024	A*	`conf`	LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. CVPR Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie
2024	J	`jnl`	RoboMP CoRR Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie
2024	A*	`conf`	RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. ICML Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie
2023	J	`jnl`	LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. CoRR Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie
2022	A*	`conf`	Deep Causal Metric Learning. ICML Xiang Deng, Zhongfei Zhang
2022	—	`conf`	Personalized Education: Blind Knowledge Distillation. ECCV (34) Xiang Deng, Jian Zheng, Zhongfei Zhang
2022	A*	`conf`	Reducing Flipping Errors in Deep Neural Networks. AAAI Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang
2022	J	`jnl`	Reducing Flipping Errors in Deep Neural Networks. CoRR Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang
2022	J	`jnl`	Sparsity-control ternary weight networks. Neural Networks Xiang Deng, Zhongfei Zhang
2021	A*	`conf`	Comprehensive Knowledge Distillation with Causal Intervention. NeurIPS Xiang Deng, Zhongfei Zhang
2021	A*	`conf`	Graph-Free Knowledge Distillation for Graph Neural Networks. IJCAI Xiang Deng, Zhongfei Zhang
2021	J	`jnl`	Graph-Free Knowledge Distillation for Graph Neural Networks. CoRR Xiang Deng, Zhongfei Zhang
2021	A*	`conf`	Integrating Semantic and Temporal Relationships in Facial Action Unit Detection. ACM Multimedia Zhihua Li, Xiang Deng, Xiaotian Li, Lijun Yin
2021	A*	`conf`	Learning with Retrospection. AAAI Xiang Deng, Zhongfei Zhang
2020	J	`jnl`	An Embarrassingly Simple Approach to Training Ternary Weight Networks. CoRR Xiang Deng, Zhongfei Zhang
2020	J	`jnl`	Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks. CoRR Xiang Deng, Zhongfei Zhang
2020	B	`conf`	Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? ICPR Xiang Deng, Zhongfei (Mark) Zhang
2020	J	`jnl`	Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? CoRR Xiang Deng, Zhongfei Zhang
2020	J	`jnl`	Learning with Retrospection. CoRR Xiang Deng, Zhongfei Zhang
2020	J	`jnl`	Locally Linear Region Knowledge Distillation. CoRR Xiang Deng, Zhongfei Zhang
2018	—	`conf`	Automatic image cropping with a single fully convolutional network. ICIMCS Xiang Deng, Chaoran Cui, Huihui Liu, Xiushan Nie, Xiaoming Xi, Yilong Yin
2018	J	`jnl`	Graph cut based automatic aorta segmentation with an adaptive smoothness constraint in 3D abdominal CT images. Neurocomputing Xiang Deng, Yuanjie Zheng, Yunlong Xu, Xiaoming Xi, Ning Li, Yilong Yin
2018	—	`conf`	Image Aesthetic Distribution Prediction with Fully Convolutional Network. MMM (1) Huidi Fang, Chaoran Cui, Xiang Deng, Xiushan Nie, Muwei Jian, Yilong Yin
2017	A*	`conf`	Distribution-oriented Aesthetics Assessment for Image Search. SIGIR Chaoran Cui, Huidi Fang, Xiang Deng, Xiushan Nie, Hongshuai Dai, Yilong Yin
2017	A	`conf`	Personalized Image Aesthetics Assessment. CIKM Xiang Deng, Chaoran Cui, Huidi Fang, Xiushan Nie, Yilong Yin