| 2026 | AAAI | Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement. | Lian He, Meng Liu, Qilang Ye, Yu Zhou, Xiang Deng, Gangyi Ding |
| 2026 | IUI | TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces (Workshop). | Toby Jia-Jun Li, Segev Shlomov, Xiang Deng, Ronen I. Brafman, Avi Yaeli, Zora Zhiruo Wang |
| 2026 | SIGGRAPH | MAViD: A Multimodal Framework for Audio-Visual Dialogue Understanding and Generation. | Youxin Pang, Jiajun Liu, Lingfeng Tan, Yong Zhang, Feng Gao, Xiang Deng, Zhuoliang Kang, Xiaoming Wei, Yebin Liu |
| 2025 | AAAI | Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. | Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng |
| 2025 | CVPR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters. | Hongyi Wang, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie |
| 2025 | IROS | FPGA Hardware Neural Control of CartPole and F1TENTH Race Car. | Marcin Paluch, Florian Bolli, Xiang Deng, Antonio Rios-Navarro, Chang Gao, Tobi Delbruck |
| 2025 | MICCAI | Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-Streamed Multi-scale Fusion. | Xiang Deng, Xing Liu, Tian Xu, Xiaoyue Liu, Tianyuan Gan, Chen Lu, Congcong Zhou, Peng Wang, Yong Lei, Xuesong Ye |
| 2024 | CVPR | LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. | Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Dual-View Visual Contextualization for Web Navigation. | Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao |
| 2024 | ICLR | 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 |
| 2024 | ICML | RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. | Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie |
| 2024 | RO-MAN | A Rapid and Robust Tendon-Driven Robotic Hand for Human-Robot Interactions Playing Rock-Paper-Scissors. | Xiang Deng, Stefan Weirich, Robert K. Katzschmann, Tobi Delbruck |
| 2023 | ACL | Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments. | Yu Gu, Xiang Deng, Yu Su |
| 2023 | ACL | 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 |
| 2023 | EMNLP | Exploring Chain of Thought Style Prompting for Text-to-SQL. | Chang-Yu Tai, Ziru Chen, Tianshu Zhang, Xiang Deng, Huan Sun |
| 2023 | ICRA | RPGD: A Small-Batch Parallel Gradient Descent Optimizer with Explorative Resampling for Nonlinear Model Predictive Control. | Frederik Heetmeyer, Marcin Paluch, Diego Bolliger, Florian Bolli, Xiang Deng, Ennio Filicicchia, Tobi Delbruck |
| 2023 | WWW | What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. | Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky |
| 2023 | WWW | LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models. | Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky |
| 2023 | SIGMOD | Models and Practice of Neural Table Representations. | Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti |
| 2023 | SIGdial | Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. | Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun |
| 2022 | AAAI | Reducing Flipping Errors in Deep Neural Networks. | Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang |
| 2022 | AAAI | Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. | Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng |
| 2022 | ECCV | Personalized Education: Blind Knowledge Distillation. | Xiang Deng, Jian Zheng, Zhongfei Zhang |
| 2022 | EMNLP | Iteratively Prompt Pre-trained Language Models for Chain of Thought. | Boshi Wang, Xiang Deng, Huan Sun |
| 2022 | ICML | Deep Causal Metric Learning. | Xiang Deng, Zhongfei Zhang |
| 2022 | Middleware | Light-GC: a lightweight and efficient garbage collection scheme for embedded file systems. | Diansen Sun, Yunlong Song, Yunpeng Chai, Baoling Peng, Fangzhou Lu, Xiang Deng |
| 2021 | AAAI | Learning with Retrospection. | Xiang Deng, Zhongfei Zhang |
| 2021 | EMNLP | ReasonBERT: Pre-trained to Reason with Distant Supervision. | Xiang Deng, Yu Su, Alyssa Lees, You Wu, Cong Yu, Huan Sun |
| 2021 | IJCAI | Graph-Free Knowledge Distillation for Graph Neural Networks. | Xiang Deng, Zhongfei Zhang |
| 2021 | NAACL | Structure-Grounded Pretraining for Text-to-SQL. | Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson |
| 2020 | ICPR | Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? | Xiang Deng, Zhongfei (Mark) Zhang |
| 2020 | MMSP | A Low Complexity Long Short-Term Memory Based Voice Activity Detection. | Ruiting Yang, Jie Liu, Xiang Deng, Zhuochao Zheng |
| 2019 | EMNLP | Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction. | Xiang Deng, Huan Sun |
| 2018 | IROS | Artificial Invariant Subspace for Humanoid Robot Balancing in Locomotion. | Xiang Deng, Daniel D. Lee |
| 2018 | MMM | Image Aesthetic Distribution Prediction with Fully Convolutional Network. | Huidi Fang, Chaoran Cui, Xiang Deng, Xiushan Nie, Muwei Jian, Yilong Yin |
| 2017 | CIKM | Personalized Image Aesthetics Assessment. | Xiang Deng, Chaoran Cui, Huidi Fang, Xiushan Nie, Yilong Yin |
| 2017 | IROS | Artificial invariant subspace with potential functions for humanoid robot balancing. | Xiang Deng, Fei Miao, Daniel D. Lee |
| 2017 | SIGIR | Distribution-oriented Aesthetics Assessment for Image Search. | Chaoran Cui, Huidi Fang, Xiang Deng, Xiushan Nie, Hongshuai Dai, Yilong Yin |
| 2014 | IECON | Analysis and suppression of the input second harmonic current in two-stage inverter. | Ren Lei, Yao Zhao, Chunying Gong, Xiang Deng, Zheng Wei |
| 2012 | IECON | Energy management and power control for a stand-alone wind energy conversion system. | Jie Chen, Jiawei Chen, Chunying Gong, Xiang Deng |
| 2012 | IECON | MOdified One-Cycle-Controlled Three-Phase Power-Factor-Correction. | Xiang Deng, Zheng Wei, Yi Fan, Chunying Gong, Xiaoli Meng |
| 2012 | IECON | A novel technique of low frequency input current ripple reduction in two-stage DC-AC inverter. | Zheng Wei, Xiang Deng, Chunying Gong, Jiawei Chen, Fanghua Zhang |
| 2007 | MICCAI | On Simulating Subjective Evaluation Using Combined Objective Metrics for Validation of 3D Tumor Segmentation. | Xiang Deng, Lei Zhu, Yiyong Sun, Chenyang Xu, Lan Song, Jiuhong Chen, Reto D. Merges, Marie-Pierre Jolly, Michael Shling, Xiaodong Xu |