| 2026 | AAAI | NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework. | Zihao Deng, Yijia Li, Renrui Zhang, Peijun Ye |
| 2026 | ACL | MMSearch-R1: Incentivizing LMMs to Search. | Jinming Wu, Zihao Deng, Wei Li, Yiding Liu, Bo You, Bo Li, Zejun Ma, Ziwei Liu |
| 2026 | COLT | Stochastic Safe Action Model Learning. | Zihao Deng, Brendan Juba |
| 2025 | DAC | Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming. | Zihao Deng, Sayeh Sharify, Xin Wang, Michael Orshansky |
| 2025 | EDCC | Machine Learning-Based Distributed Intrusion Detection System in Industrial Edge Environments: Challenge Identification. | Zihao Deng, Geert Deconinck |
| 2025 | ICRA | Coordinated Multi-Robot Navigation with Formation Adaptation. | Zihao Deng, Peng Gao, Williard Joshua Jose, Christopher M. Reardon, Maggie B. Wigness, John G. Rogers, Hao Zhang |
| 2024 | NAACL | MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response. | Zihao Deng, Yinghao Ma, Yudong Liu, Rongchen Guo, Ge Zhang, Wenhu Chen, Wenhao Huang, Emmanouil Benetos |
| 2023 | ACML | Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. | Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Y. Cho, Leo Orshansky, Mattan Erez, Michael Orshansky |
| 2023 | CHI | MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models. | Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2023 | ICLR | MultiViz: Towards Visualizing and Understanding Multimodal Models. | Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2022 | AIES | DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations. | Yiwei Lyu, Paul Pu Liang, Zihao Deng, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2022 | AISTATS | Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. | Zihao Deng, Siddartha Devic, Brendan Juba |
| 2022 | DATE | Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIM. | Zihao Deng, Michael Orshansky |