Exploring Hyperdimensional Associative Memory. - Mohsen Imani; Abbas Rahimi; Deqian Kong; Tajana Rosing; Jan M. Rabaey (HPCA, 2017)

VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. - Mohsen Imani; Deqian Kong; Abbas Rahimi; Tajana Rosing (ICRC, 2017)

Hierarchical hyperdimensional computing for energy efficient classification. - Mohsen Imani; Chenyu Huang; Deqian Kong; Tajana Rosing (DAC, 2018)

A Benchmark Dataset and Multi-Scale Attention Network for Semantic Traffic Light Detection. - Yang Feng; Deqian Kong; Ping Wei 001; Hongbin Sun 001; Nanning Zheng 001 (ITSC, 2019)

YouRefIt: Embodied Reference Understanding with Language and Gesture. - Yixin Chen 003; Qing Li 003; Deqian Kong; Yik Lun Kei; Song-Chun Zhu; Tao Gao 004; Yixin Zhu 001; Siyuan Huang 001 (ICCV, 2021)

Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. - Yan Xu 012; Deqian Kong; Dehong Xu; Ziwei Ji 001; Bo Pang 004; Pascale Fung; Ying Nian Wu (ICML, 2023)

Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting. - Deqian Kong; Bo Pang 004; Tian Han 001; Ying Nian Wu (UAI, 2023)

Molecule Design by Latent Prompt Transformer. - Deqian Kong; Yuhao Huang; Jianwen Xie; Ying Nian Wu (CoRR, 2023)

Long-Term Social Interaction Context: The Key to Egocentric Addressee Detection. - Deqian Kong; Furqan Khan; Xu Zhang; Prateek Singhal; Ying Nian Wu (ICASSP, 2024)

Depth-Guided Full-Focus Super-Resolution Network for Light Field Images. - Deqian Kong; Yan Yuan; Lijuan Su; Conghui Zhu (ICIGP, 2024)

Molecule Design by Latent Prompt Transformer. - Deqian Kong; Yuhao Huang; Jianwen Xie; Edouardo Honig; Ming Xu; Shuanghong Xue; Pei Lin; Sanping Zhou; Sheng Zhong; Nanning Zheng 001; Ying Nian Wu (NeurIPS, 2024)

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (NeurIPS, 2024)

Latent Plan Transformer: Planning as Latent Variable Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (CoRR, 2024)

Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer. - Deqian Kong; Yuhao Huang; Jianwen Xie; Edouardo Honig; Ming Xu; Shuanghong Xue; Pei Lin; Sanping Zhou; Sheng Zhong; Nanning Zheng 001; Ying Nian Wu (CoRR, 2024)

Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space. - Peiyu Yu; Dinghuai Zhang; Hengzhi He; Xiaojian Ma 001; Ruiyao Miao; Yifan Lu; Yasi Zhang; Deqian Kong; Ruiqi Gao; Jianwen Xie; Guang Cheng 003; Ying Nian Wu (CoRR, 2024)

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting. - Eric Hanchen Jiang; Zhi Zhang 012; Dinghuai Zhang; Andrew Lizarraga; Chenheng Xu; Yasi Zhang; Siyan Zhao; Zhengjie Xu; Peiyu Yu; Yuer Tang; Deqian Kong; Ying Nian Wu (CoRR, 2024)

A minimalistic representation model for head direction system. - Minglu Zhao; Dehong Xu; Deqian Kong; Wenhao Zhang 002; Ying Nian Wu (CoRR, 2024)

Latent Space Energy-based Neural ODEs. - Sheng Cheng; Deqian Kong; Jianwen Xie; Kookjin Lee; Ying Nian Wu; Yezhou Yang (Trans. Mach. Learn. Res., 2025)

Scalable Language Models with Posterior Inference of Latent Thought Vectors. - Deqian Kong; Minglu Zhao; Dehong Xu; Bo Pang 004; Shu Wang 002; Edouardo Honig; Zhangzhang Si; Chuan Li; Jianwen Xie; Sirui Xie; Ying Nian Wu (CoRR, 2025)

Latent Adaptive Planner for Dynamic Manipulation. - Donghun Noh; Deqian Kong; Minglu Zhao; Andrew Lizarraga; Jianwen Xie; Ying Nian Wu; Dennis W. Hong (CoRR, 2025)

Place Cells as Position Embeddings of Multi-Time Random Walk Transition Kernels for Path Planning. - Minglu Zhao; Dehong Xu; Deqian Kong; Wenhao Zhang 002; Ying Nian Wu (CoRR, 2025)