Structured Generative Adversarial Networks. - Zhijie Deng; Hao Zhang 025; Xiaodan Liang; Luona Yang; Shizhen Xu; Jun Zhu 001; Eric P. Xing (NIPS, 2017)

Cavs: An Efficient Runtime System for Dynamic Neural Networks. - Shizhen Xu; Hao Zhang 025; Graham Neubig; Wei Dai 003; Jin Kyu Kim; Zhijie Deng; Qirong Ho; Guangwen Yang; Eric P. Xing (USENIX ATC, 2018)

Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. - Zhijie Deng; Yucen Luo; Jun Zhu 001 (ICCV, 2019)

DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures. - Zhijie Deng; Yucen Luo; Jun Zhu 001; Bo Zhang 010 (CoRR, 2019)

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. - Hao Zhang 025; Yuan Li 032; Zhijie Deng; Xiaodan Liang; Lawrence Carin; Eric P. Xing (NeurIPS, 2020)

Understanding and Exploring the Network with Stochastic Architectures. - Zhijie Deng; Yinpeng Dong; Shifeng Zhang; Jun Zhu 001 (NeurIPS, 2020)

Adversarial Distributional Training for Robust Deep Learning. - Yinpeng Dong; Zhijie Deng; Tianyu Pang; Jun Zhu 001; Hang Su 006 (NeurIPS, 2020)

BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning. - Zhijie Deng; Xiao Yang; Hao Zhang 025; Yinpeng Dong; Jun Zhu 001 (CoRR, 2020)

LiBRe: A Practical Bayesian Approach to Adversarial Detection. - Zhijie Deng; Xiao Yang; Shizhen Xu; Hang Su 006; Jun Zhu 001 (CVPR, 2021)

Black-box Detection of Backdoor Attacks with Limited Information and Data. - Yinpeng Dong; Xiao Yang; Zhijie Deng; Tianyu Pang; Zihao Xiao 002; Hang Su 006; Jun Zhu 001 (ICCV, 2021)

Accurate and Reliable Forecasting using Stochastic Differential Equations. - Peng Cui 007; Zhijie Deng; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2021)

BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. - Zhijie Deng; Jun Zhu 001 (ACML, 2022)

Exploring Memorization in Adversarial Training. - Yinpeng Dong; Ke Xu; Xiao Yang; Tianyu Pang; Zhijie Deng; Hang Su 006; Jun Zhu 001 (ICLR, 2022)

NeuralEF: Deconstructing Kernels by Deep Neural Networks. - Zhijie Deng; Jiaxin Shi; Jun Zhu 001 (ICML, 2022)

Confidence-based Reliable Learning under Dual Noises. - Peng Cui 007; Yang Yue; Zhijie Deng; Jun Zhu 001 (NeurIPS, 2022)

Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. - Zhijie Deng; Feng Zhou 011; Jun Zhu 001 (NeurIPS, 2022)

Deep Ensemble as a Gaussian Process Approximate Posterior. - Zhijie Deng; Feng Zhou 011; Jianfei Chen 001; Guoqiang Wu; Jun Zhu 001 (CoRR, 2022)

Neural Eigenfunctions Are Structured Representation Learners. - Zhijie Deng; Jiaxin Shi; Hao Zhang; Peng Cui 007; Cewu Lu; Jun Zhu 001 (CoRR, 2022)

Efficient Inference for Dynamic Flexible Interactions of Neural Populations. - Feng Zhou 011; Quyu Kong; Zhijie Deng; Jichao Kan; Yixuan Zhang 006; Cheng Feng 004; Jun Zhu 001 (J. Mach. Learn. Res., 2022)

Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. - Zhijie Deng; Yucen Luo (ICCV, 2023)

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. - Peng Cui 007; Dan Zhang; Zhijie Deng; Yinpeng Dong; Jun Zhu 001 (NeurIPS, 2023)

Towards Accelerated Model Training via Bayesian Data Selection. - Zhijie Deng; Peng Cui 007; Jun Zhu 001 (NeurIPS, 2023)

On Calibrating Diffusion Probabilistic Models. - Tianyu Pang; Cheng Lu 011; Chao Du; Min Lin; Shuicheng Yan; Zhijie Deng (NeurIPS, 2023)

Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks. - Hongcheng Gao; Hao Zhang; Yinpeng Dong; Zhijie Deng (CoRR, 2023)

LOVECon: Text-driven Training-Free Long Video Editing with ControlNet. - Zhenyi Liao; Zhijie Deng (CoRR, 2023)

Batch virtual adversarial training for graph convolutional networks. - Zhijie Deng; Yinpeng Dong; Jun Zhu 001 (AI Open, 2023)

Heterogeneous multi-task Gaussian Cox processes. - Feng Zhou 011; Quyu Kong; Zhijie Deng; Fengxiang He; Peng Cui 007; Jun Zhu 001 (Mach. Learn., 2023)

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. - Yibo Miao; Hongcheng Gao; Hao Zhang; Zhijie Deng (ACL (Findings), 2024)

Bayesian Exploration of Pre-Trained Models for Low-Shot Image Classification. - Yibo Miao; Yu Lei; Feng Zhou; Zhijie Deng (CVPR, 2024)

Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. - Juntu Zhao; Junyu Deng; Yixin Ye; Chongxuan Li; Zhijie Deng; Dequan Wang (ECCV (69), 2024)

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. - Zihao Zeng; Yibo Miao; Hongcheng Gao; Hao Zhang 025; Zhijie Deng (EMNLP (Findings), 2024)

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. - Siqi Kou; Lei Gan; Dequan Wang; Chongxuan Li; Zhijie Deng (ICLR, 2024)

CLLMs: Consistency Large Language Models. - Siqi Kou; Lanxiang Hu; Zhezhi He; Zhijie Deng; Hao Zhang (ICML, 2024)

Online Speculative Decoding. - Xiaoxuan Liu; Lanxiang Hu; Peter Bailis; Alvin Cheung; Zhijie Deng; Ion Stoica; Hao Zhang 025 (ICML, 2024)

Improved Operator Learning by Orthogonal Attention. - Zipeng Xiao; Zhongkai Hao; Bokai Lin; Zhijie Deng; Hang Su 006 (ICML, 2024)

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 (ICML, 2024)

Amortized Fourier Neural Operators. - Zipeng Xiao; Siqi Kou; Zhongkai Hao; Bokai Lin; Zhijie Deng (NeurIPS, 2024)

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. - Hongjian Liu; Qingsong Xie; Zhijie Deng; Chen Chen 015; Shixiang Tang; Fueyang Fu; Zhengjun Zha; Haonan Lu (CoRR, 2024)

MLCM: Multistep Consistency Distillation of Latent Diffusion Model. - Qingsong Xie; Zhenyi Liao; Chen Chen 015; Zhijie Deng; Shixiang Tang; Haonan Lu (CoRR, 2024)

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. - Zihao Zeng; Yibo Miao; Hongcheng Gao; Hao Zhang; Zhijie Deng (CoRR, 2024)

Optimizing Speculative Decoding for Serving Large Language Models Using Goodput. - Xiaoxuan Liu; Cade Daniel; Langxiang Hu; Woosuk Kwon; Zhuohan Li 001; Xiangxi Mo; Alvin Cheung; Zhijie Deng; Ion Stoica; Hao Zhang 025 (CoRR, 2024)

Fine-tuning Diffusion Models for Enhancing Face Quality in Text-to-image Generation. - Zhenyi Liao; Qingsong Xie; Chen Chen 015; Hannan Lu; Zhijie Deng (CoRR, 2024)

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts. - Hongcheng Gao; Tianyu Pang; Chao Du; Taihang Hu; Zhijie Deng; Min Lin (CoRR, 2024)

In-context KV-Cache Eviction for LLMs via Attention-Gate. - Zihao Zeng; Bokai Lin; Tianqi Hou; Hao Zhang; Zhijie Deng (CoRR, 2024)

Aligning CodeLLMs with Direct Preference Optimization. - Yibo Miao; Bofei Gao; Shanghaoran Quan; Junyang Lin; Daoguang Zan; Jiaheng Liu; Jian Yang 003; Tianyu Liu 001; Zhijie Deng (CoRR, 2024)

Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models. - Peng Cui 007; Guande He; Dan Zhang; Zhijie Deng; Yinpeng Dong; Jun Zhu 001 (CoRR, 2024)

Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. - Siqi Kou; Jiachun Jin; Chang Liu; Ye Ma; Jian Jia; Quan Chen 006; Peng Jiang 002; Zhijie Deng (CoRR, 2024)

Calibrating Deep Ensemble through Functional Variational Inference. - Zhijie Deng; Feng Zhou 011; Jianfei Chen 001; Guoqiang Wu; Jun Zhu 001 (Trans. Mach. Learn. Res., 2024)

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. - Hongjian Liu; Qingsong Xie; Tianxiang Ye; Zhijie Deng; Chen Chen 015; Shixiang Tang; Xueyang Fu; Haonan Lu; Zheng-Jun Zha (AAAI, 2025)

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 (ACL (Findings), 2025)

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. - Zijun Chen 001; Wenbo Hu 001; Guande He; Zhijie Deng; Zheng Zhang 006; Richang Hong (COLING, 2025)

MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection. - Bokai Lin; Zihao Zeng; Zipeng Xiao; Siqi Kou; TianQi Hou; Xiaofeng Gao 001; Hao Zhang; Zhijie Deng (ICLR, 2025)

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 (ICLR, 2025)

Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation. - Chenkai Xu; Xu Wang; Zhenyi Liao; Yishun Li; Tianqi Hou; Zhijie Deng (CoRR, 2025)

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile. - Hangliang Ding; Dacheng Li; Runlong Su; Peiyuan Zhang; Zhijie Deng; Ion Stoica; Hao Zhang 025 (CoRR, 2025)

SIFT: Grounding LLM Reasoning in Contexts via Stickers. - Zihao Zeng; Xuyao Huang; Boxiu Li; Zhijie Deng (CoRR, 2025)

SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations. - Peng Cui 007; Zhijie Deng; Wenbo Hu 001; Jun Zhu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Improved Visual-Spatial Reasoning via R1-Zero-Like Training. - Zhenyi Liao; Qingsong Xie; Yanhao Zhang; Zijian Kong; Haonan Lu; Zhenyu Yang; Zhijie Deng (CoRR, 2025)

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability. - Yichi Zhang; Zihao Zeng; Dongbai Li; Yao Huang; Zhijie Deng; Yinpeng Dong (CoRR, 2025)

FlowReasoner: Reinforcing Query-Level Meta-Agents. - Hongcheng Gao; Yue Liu 008; Yufei He; Longxu Dou; Chao Du; Zhijie Deng; Bryan Hooi; Min Lin; Tianyu Pang (CoRR, 2025)

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection. - Zhijie Deng; Chris Yuhao Liu; Zirui Pang; Xinlei He 001; Lei Feng 006; Qi Xuan; Zhaowei Zhu; Jiaheng Wei (CoRR, 2025)

When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification. - Zirui Pang; Haosheng Tan; Yuhan Pu; Zhijie Deng; Zhouan Shen; Keyu Hu; Jiaheng Wei (CoRR, 2025)

Fast Quiet-STaR: Thinking Without Thought Tokens. - Wei Huang; Yizhe Xiong; Xin Ye; Zhijie Deng; Hui Chen 013; Zijia Lin; Guiguang Ding (CoRR, 2025)

Done Is Better than Perfect: Unlocking Efficient Reasoning by Structured Multi-Turn Decomposition. - Zihao Zeng; Xuyao Huang; Boxiu Li; Hao Zhang; Zhijie Deng (CoRR, 2025)

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions. - Siqi Kou; Qingyuan Tian; Hanwen Xu; Zihao Zeng; Zhijie Deng (CoRR, 2025)

Thinking with Generated Images. - Ethan Chern; Zhulin Hu; Steffi Chern; Siqi Kou; Jiadi Su; Yan Ma; Zhijie Deng; Pengfei Liu 003 (CoRR, 2025)

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks. - Yi Yang; Jiaxuan Sun; Siqi Kou; Yihan Wang; Zhijie Deng (CoRR, 2025)

Scaling Speculative Decoding with Lookahead Reasoning. - Yichao Fu; Rui Ge 008; Zelei Shao; Zhijie Deng; Hao Zhang (CoRR, 2025)

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation. - Yu Lei; Bingde Liu; Qingsong Xie; Haonan Lu; Zhijie Deng (CoRR, 2025)

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing. - Xu Wang; Chenkai Xu; Yijie Jin; Jiachun Jin; Hao Zhang; Zhijie Deng (CoRR, 2025)