Deng, Xiang

23 publications

ICLR 2025 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie

L4DC 2025 A-NC: Adaptive Neural Control with Implicit Online Inference of Privileged Parameters Marcin Paluch, Florian Bolli, Pehuen Moure, Xiang Deng, Tobi Delbruck

AAAI 2025 Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng

NeurIPS 2025 Embodied Crowd Counting Runling Long, Yunlong Wang, Jia Wan, Xiang Deng, Xinting Zhu, Weili Guan, Antoni B. Chan, Liqiang Nie

ICML 2025 STAR: Learning Diverse Robot Skill Abstractions Through Rotation-Augmented Vector Quantization Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie

CVPR 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie

ICML 2025 Understanding the Forgetting of (Replay-Based) Continual Learning via Feature Learning: Angle Matters Hongyi Wan, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie

ICLR 2024 AgentBench: Evaluating LLMs as Agents Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang

NeurIPS 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie

CVPR 2024 Dual-View Visual Contextualization for Web Navigation Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao

ICMLW 2024 EPD: Long-Term Memory Extraction, Context-Aware Planning and Multi-Iteration Decision @ EgoPlan Challenge ICML 2024 Letian Shi, Qi Lv, Xiang Deng, Liqiang Nie

CVPR 2024 LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie

CVPR 2024 RAM-Avatar: Real-Time Photo-Realistic Avatar from Monocular Videos with Full-Body Control Xiang Deng, Zerong Zheng, Yuxiang Zhang, Jingxiang Sun, Chao Xu, Xiaodong Yang, Lizhen Wang, Yebin Liu

ICML 2024 RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Y Wang, Liqiang Nie

NeurIPS 2023 Mind2Web: Towards a Generalist Agent for the Web Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Sam Stevens, Boshi Wang, Huan Sun, Yu Su

ICLRW 2023 Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun

AAAI 2022 Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng

ICML 2022 Deep Causal Metric Learning Xiang Deng, Zhongfei Zhang

ECCV 2022 Personalized Education: Blind Knowledge Distillation Xiang Deng, Jian Zheng, Zhongfei Zhang

AAAI 2022 Reducing Flipping Errors in Deep Neural Networks Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang

NeurIPS 2021 Comprehensive Knowledge Distillation with Causal Intervention Xiang Deng, Zhongfei Zhang

IJCAI 2021 Graph-Free Knowledge Distillation for Graph Neural Networks Xiang Deng, Zhongfei Zhang

AAAI 2021 Learning with Retrospection Xiang Deng, Zhongfei Zhang