| 2026 | ACL | TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding Tasks. | Hanwen Xu, Xuyao Huang, Yuzhe Liu, Zhijie Deng |
| 2026 | ACL | UniCM: A Unified Consistency Model For Efficient Multimodal Generation and Understanding. | Chenkai Xu, Xu Wang, Zhenyi Liao, Yishun Li, TianQi Hou, Zhijie Deng |
| 2026 | ACL | OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models. | Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei |
| 2025 | AAAI | SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. | Hongjian Liu, Qingsong Xie, Tianxiang Ye, Zhijie Deng, Chen Chen, Shixiang Tang, Xueyang Fu, Haonan Lu, Zheng-Jun Zha |
| 2025 | ACL | SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning. | Junkai Chen, Zhijie Deng, Kening Zheng, Yibo Yan, Shuliang Liu, PeiJun Wu, Peijie Jiang, Jia Liu, Xuming Hu |
| 2025 | COLING | Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. | Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong |
| 2025 | EMNLP | Fast Quiet-STaR: Thinking Without Thought Tokens. | Wei Huang, Yizhe Xiong, Xin Ye, Zhijie Deng, Hui Chen, Zijia Lin, Guiguang Ding |
| 2025 | EMNLP | SIFT: Grounding LLM Reasoning in Contexts via Stickers. | Zihao Zeng, Xuyao Huang, Boxiu Li, Zhijie Deng |
| 2025 | ICCV | Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts. | Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin |
| 2025 | ICCV | Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation. | Yu Lei, Bingde Liu, Qingsong Xie, Haonan Lu, Zhijie Deng |
| 2025 | ICLR | MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection. | Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, TianQi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng |
| 2025 | ICLR | 3D-Properties: Identifying Challenges in DPO and Charting a Path Forward. | Yuzi Yan, Yibo Miao, Jialian Li, Yipin Zhang, Jian Xie, Zhijie Deng, Dong Yan |
| 2025 | ICML | Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. | Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng |
| 2024 | ACL | Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. | Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng |
| 2024 | CVPR | Bayesian Exploration of Pre-Trained Models for Low-Shot Image Classification. | Yibo Miao, Yu Lei, Feng Zhou, Zhijie Deng |
| 2024 | ECCV | Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. | Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang |
| 2024 | EMNLP | AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. | Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng |
| 2024 | ICLR | BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. | Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng |
| 2024 | ICML | CLLMs: Consistency Large Language Models. | Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang |
| 2024 | ICML | Online Speculative Decoding. | Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang |
| 2024 | ICML | Improved Operator Learning by Orthogonal Attention. | Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su |
| 2024 | ICML | SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. | Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He |
| 2023 | ICCV | Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. | Zhijie Deng, Yucen Luo |
| 2022 | ACML | BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. | Zhijie Deng, Jun Zhu |
| 2022 | ICLR | Exploring Memorization in Adversarial Training. | Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu |
| 2022 | ICML | NeuralEF: Deconstructing Kernels by Deep Neural Networks. | Zhijie Deng, Jiaxin Shi, Jun Zhu |
| 2021 | CVPR | LiBRe: A Practical Bayesian Approach to Adversarial Detection. | Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu |
| 2021 | ICCV | Black-box Detection of Backdoor Attacks with Limited Information and Data. | Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu |
| 2019 | ICCV | Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. | Zhijie Deng, Yucen Luo, Jun Zhu |
| 2018 | USENIX | Cavs: An Efficient Runtime System for Dynamic Neural Networks. | Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing |