Zhijie Deng - RankMe

116 papers A* 25B 1C 1Journal 81Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning. CoRR Yanzhe Hu, Yijie Jin, Pengfei Liu, Kai Yu, Zhijie Deng
2026	J	`jnl`	Neural Eigenfunctions are Structured Representation Learners. IEEE Trans. Pattern Anal. Mach. Intell. Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2026	J	`jnl`	Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders. CoRR Siqi Kou, Jiachun Jin, Zetong Zhou, Ye Ma, Yugang Wang, Quan Chen, Peng Jiang, Xiao Yang, Jun Zhu, Kai Yu, Zhijie Deng
2026	J	`jnl`	d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation. CoRR Yu-Yang Qian, Junda Su, Lanxiang Hu, Peiyuan Zhang, Zhijie Deng, Peng Zhao, Hao Zhang
2025	A*	`conf`	3D-Properties: Identifying Challenges in DPO and Charting a Path Forward. ICLR Yuzi Yan, Yibo Miao, Jialian Li, Yipin Zhang, Jian Xie, Zhijie Deng, Dong Yan
2025	J	`jnl`	A double auxiliary gate SiC trench MOSFET with dynamic P-well control and integrated MOS-channel diode. Microelectron. J. Weizhong Chen, Zesheng Chen, Zhijie Deng, Yufan Xiao, Haishi Wang
2025	J	`jnl`	Adaptive Discretization for Consistency Models. CoRR Jiayu Bai, Zhanbo Feng, Zhijie Deng, Tianqi Hou, Robert C. Qiu, Zenan Ling
2025	J	`jnl`	Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation. CoRR Yu Lei, Bingde Liu, Qingsong Xie, Haonan Lu, Zhijie Deng
2025	J	`jnl`	DEER: Draft with Diffusion, Verify with Autoregressive Models. CoRR Zicong Cheng, Guo-Wei Yang, Jia Li, Zhijie Deng, Meng-Hao Guo, Shi-Min Hu
2025	J	`jnl`	Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing. CoRR Xu Wang, Chenkai Xu, Yijie Jin, Jiachun Jin, Hao Zhang, Zhijie Deng
2025	J	`jnl`	Done Is Better than Perfect: Unlocking Efficient Reasoning by Structured Multi-Turn Decomposition. CoRR Zihao Zeng, Xuyao Huang, Boxiu Li, Hao Zhang, Zhijie Deng
2025	J	`jnl`	Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile. CoRR Hangliang Ding, Dacheng Li, Runlong Su, Peiyuan Zhang, Zhijie Deng, Ion Stoica, Hao Zhang
2025	—	`conf`	Fast Quiet-STaR: Thinking Without Thought Tokens. EMNLP (Findings) Wei Huang, Yizhe Xiong, Xin Ye, Zhijie Deng, Hui Chen, Zijia Lin, Guiguang Ding
2025	J	`jnl`	Fast Quiet-STaR: Thinking Without Thought Tokens. CoRR Wei Huang, Yizhe Xiong, Xin Ye, Zhijie Deng, Hui Chen, Zijia Lin, Guiguang Ding
2025	J	`jnl`	Fast and Accurate Causal Parallel Decoding using Jacobi Forcing. CoRR Lanxiang Hu, Siqi Kou, Yichao Fu, Samyam Rajbhandari, Tajana Rosing, Yuxiong He, Zhijie Deng, Hao Zhang
2025	J	`jnl`	FlowReasoner: Reinforcing Query-Level Meta-Agents. CoRR Hongcheng Gao, Yue Liu, Yufei He, Longxu Dou, Chao Du, Zhijie Deng, Bryan Hooi, Min Lin, Tianyu Pang
2025	J	`jnl`	GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection. CoRR Zhijie Deng, Chris Yuhao Liu, Zirui Pang, Xinlei He, Lei Feng, Qi Xuan, Zhaowei Zhu, Jiaheng Wei
2025	J	`jnl`	Improved Visual-Spatial Reasoning via R1-Zero-Like Training. CoRR Zhenyi Liao, Qingsong Xie, Yanhao Zhang, Zijian Kong, Haonan Lu, Zhenyu Yang, Zhijie Deng
2025	J	`jnl`	LM-mixup: Text Data Augmentation via Language Model based Mixup. CoRR Zhijie Deng, Zhouan Shen, Ling Li, Yao Zhou, Zhaowei Zhu, Yanji He, Wei Wang, Jiaheng Wei
2025	J	`jnl`	LOVECon: text-driven training-free long video editing with ControlNet. Sci. China Inf. Sci. Zhenyi Liao, Qingsong Xie, Zhijie Deng
2025	J	`jnl`	Label Smoothing Improves Gradient Ascent in LLM Unlearning. CoRR Zirui Pang, Hao Zheng, Zhijie Deng, Ling Li, Zixin Zhong, Jiaheng Wei
2025	J	`jnl`	LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation. CoRR Ethan Chern, Zhulin Hu, Bohao Tang, Jiadi Su, Steffi Chern, Zhijie Deng, Pengfei Liu
2025	J	`jnl`	LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks. CoRR Yi Yang, Jiaxuan Sun, Siqi Kou, Yihan Wang, Zhijie Deng
2025	J	`jnl`	LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding. CoRR Chenkai Xu, Yijie Jin, Jiajun Li, Yi Tu, Guoping Long, Dandan Tu, Mingcong Song, Hongjie Si, Tianqi Hou, Junchi Yan, Zhijie Deng
2025	J	`jnl`	Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight. CoRR Yi Yang, Xueqi Li, Yiyang Chen, Jin Song, Yihan Wang, Zipeng Xiao, Jiadi Su, You Qiaoben, Pengfei Liu, Zhijie Deng
2025	A*	`conf`	MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection. ICLR Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng
2025	J	`jnl`	OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models. CoRR Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei
2025	A*	`conf`	Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. ICML Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng
2025	J	`jnl`	RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability. CoRR Yichi Zhang, Zihao Zeng, Dongbai Li, Yao Huang, Zhijie Deng, Yinpeng Dong
2025	A*	`conf`	SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. AAAI Hongjian Liu, Qingsong Xie, Tianxiang Ye, Zhijie Deng, Chen Chen, Shixiang Tang, Xueyang Fu, Haonan Lu, Zheng-Jun Zha
2025	J	`jnl`	SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations. ACM Trans. Knowl. Discov. Data Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2025	—	`conf`	SIFT: Grounding LLM Reasoning in Contexts via Stickers. EMNLP (Findings) Zihao Zeng, Xuyao Huang, Boxiu Li, Zhijie Deng
2025	J	`jnl`	SIFT: Grounding LLM Reasoning in Contexts via Stickers. CoRR Zihao Zeng, Xuyao Huang, Boxiu Li, Zhijie Deng
2025	—	`conf`	SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning. ACL (Findings) Junkai Chen, Zhijie Deng, Kening Zheng, Yibo Yan, Shuliang Liu, PeiJun Wu, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning. CoRR Junkai Chen, Zhijie Deng, Kening Zheng, Yibo Yan, Shuliang Liu, PeiJun Wu, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	Scaling Speculative Decoding with Lookahead Reasoning. CoRR Yichao Fu, Rui Ge, Zelei Shao, Zhijie Deng, Hao Zhang
2025	J	`jnl`	Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation. CoRR Chenkai Xu, Xu Wang, Zhenyi Liao, Yishun Li, Tianqi Hou, Zhijie Deng
2025	J	`jnl`	TPS-Bench: Evaluating AI Agents' Tool Planning \& Scheduling Abilities in Compounding Tasks. CoRR Hanwen Xu, Xuyao Huang, Yuzhe Liu, Kai Yu, Zhijie Deng
2025	J	`jnl`	Thinking with Generated Images. CoRR Ethan Chern, Zhulin Hu, Steffi Chern, Siqi Kou, Jiadi Su, Yan Ma, Zhijie Deng, Pengfei Liu
2025	B	`conf`	Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. COLING Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong
2025	J	`jnl`	When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification. CoRR Zirui Pang, Haosheng Tan, Yuhan Pu, Zhijie Deng, Zhouan Shen, Keyu Hu, Jiaheng Wei
2025	J	`jnl`	Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions. CoRR Siqi Kou, Qingyuan Tian, Hanwen Xu, Zihao Zeng, Zhijie Deng
2024	J	`jnl`	3D-Properties: Identifying Challenges in DPO and Charting a Path Forward. CoRR Yuzi Yan, Yibo Miao, Jialian Li, Yipin Zhang, Jian Xie, Zhijie Deng, Dong Yan
2024	—	`conf`	AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. EMNLP (Findings) Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng
2024	J	`jnl`	AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. CoRR Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng
2024	J	`jnl`	Aligning CodeLLMs with Direct Preference Optimization. CoRR Yibo Miao, Bofei Gao, Shanghaoran Quan, Junyang Lin, Daoguang Zan, Jiaheng Liu, Jian Yang, Tianyu Liu, Zhijie Deng
2024	A*	`conf`	Amortized Fourier Neural Operators. NeurIPS Zipeng Xiao, Siqi Kou, Zhongkai Hao, Bokai Lin, Zhijie Deng
2024	A*	`conf`	BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. ICLR Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
2024	A*	`conf`	Bayesian Exploration of Pre-Trained Models for Low-Shot Image Classification. CVPR Yibo Miao, Yu Lei, Feng Zhou, Zhijie Deng
2024	J	`jnl`	Bayesian Exploration of Pre-trained Models for Low-shot Image Classification. CoRR Yibo Miao, Yu Lei, Feng Zhou, Zhijie Deng
2024	A*	`conf`	CLLMs: Consistency Large Language Models. ICML Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang
2024	J	`jnl`	CLLMs: Consistency Large Language Models. CoRR Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang
2024	J	`jnl`	Calibrating Deep Ensemble through Functional Variational Inference. Trans. Mach. Learn. Res. Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2024	—	`conf`	Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. ACL (Findings) Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng
2024	J	`jnl`	Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models. CoRR Peng Cui, Guande He, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2024	J	`jnl`	Fine-tuning Diffusion Models for Enhancing Face Quality in Text-to-image Generation. CoRR Zhenyi Liao, Qingsong Xie, Chen Chen, Hannan Lu, Zhijie Deng
2024	A*	`conf`	Improved Operator Learning by Orthogonal Attention. ICML Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su
2024	J	`jnl`	In-context KV-Cache Eviction for LLMs via Attention-Gate. CoRR Zihao Zeng, Bokai Lin, Tianqi Hou, Hao Zhang, Zhijie Deng
2024	—	`conf`	Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. ECCV (69) Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang
2024	J	`jnl`	Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. CoRR Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang
2024	J	`jnl`	MLCM: Multistep Consistency Distillation of Latent Diffusion Model. CoRR Qingsong Xie, Zhenyi Liao, Chen Chen, Zhijie Deng, Shixiang Tang, Haonan Lu
2024	J	`jnl`	MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection. CoRR Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng
2024	J	`jnl`	Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts. CoRR Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin
2024	A*	`conf`	Online Speculative Decoding. ICML Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang
2024	J	`jnl`	Optimizing Speculative Decoding for Serving Large Language Models Using Goodput. CoRR Xiaoxuan Liu, Cade Daniel, Langxiang Hu, Woosuk Kwon, Zhuohan Li, Xiangxi Mo, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang
2024	J	`jnl`	Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. CoRR Siqi Kou, Jiachun Jin, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng
2024	J	`jnl`	SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. CoRR Hongjian Liu, Qingsong Xie, Zhijie Deng, Chen Chen, Shixiang Tang, Fueyang Fu, Zhengjun Zha, Haonan Lu
2024	A*	`conf`	SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. ICML Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. CoRR Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. CoRR Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong
2023	J	`jnl`	Batch virtual adversarial training for graph convolutional networks. AI Open Zhijie Deng, Yinpeng Dong, Jun Zhu
2023	J	`jnl`	BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. CoRR Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
2023	J	`jnl`	Confidence-based Reliable Learning under Dual Noises. CoRR Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
2023	J	`jnl`	Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. CoRR Zhijie Deng, Hongcheng Gao, Yibo Miao, Hao Zhang
2023	J	`jnl`	Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks. CoRR Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng
2023	J	`jnl`	Heterogeneous Multi-Task Gaussian Cox Processes. CoRR Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	J	`jnl`	Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	J	`jnl`	Improved Operator Learning by Orthogonal Attention. CoRR Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su
2023	J	`jnl`	LOVECon: Text-driven Training-Free Long Video Editing with ControlNet. CoRR Zhenyi Liao, Zhijie Deng
2023	A*	`conf`	Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. ICCV Zhijie Deng, Yucen Luo
2023	J	`jnl`	Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. CoRR Zhijie Deng, Yucen Luo
2023	A*	`conf`	Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. NeurIPS Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2023	J	`jnl`	Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. CoRR Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2023	A*	`conf`	On Calibrating Diffusion Probabilistic Models. NeurIPS Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
2023	J	`jnl`	On Calibrating Diffusion Probabilistic Models. CoRR Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
2023	J	`jnl`	Online Speculative Decoding. CoRR Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Ion Stoica, Zhijie Deng, Alvin Cheung, Hao Zhang
2023	A*	`conf`	Towards Accelerated Model Training via Bayesian Data Selection. NeurIPS Zhijie Deng, Peng Cui, Jun Zhu
2023	J	`jnl`	Towards Accelerated Model Training via Bayesian Data Selection. CoRR Zhijie Deng, Peng Cui, Jun Zhu
2022	A*	`conf`	Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. NeurIPS Zhijie Deng, Feng Zhou, Jun Zhu
2022	J	`jnl`	Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. CoRR Zhijie Deng, Feng Zhou, Jun Zhu
2022	C	`conf`	BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. ACML Zhijie Deng, Jun Zhu
2022	A*	`conf`	Confidence-based Reliable Learning under Dual Noises. NeurIPS Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
2022	J	`jnl`	Deep Ensemble as a Gaussian Process Approximate Posterior. CoRR Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2022	J	`jnl`	Efficient Inference for Dynamic Flexible Interactions of Neural Populations. J. Mach. Learn. Res. Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu
2022	A*	`conf`	Exploring Memorization in Adversarial Training. ICLR Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
2022	J	`jnl`	Neural Eigenfunctions Are Structured Representation Learners. CoRR Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2022	A*	`conf`	NeuralEF: Deconstructing Kernels by Deep Neural Networks. ICML Zhijie Deng, Jiaxin Shi, Jun Zhu
2022	J	`jnl`	NeuralEF: Deconstructing Kernels by Deep Neural Networks. CoRR Zhijie Deng, Jiaxin Shi, Jun Zhu
2021	J	`jnl`	Accurate and Reliable Forecasting using Stochastic Differential Equations. CoRR Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2021	A*	`conf`	Black-box Detection of Backdoor Attacks with Limited Information and Data. ICCV Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
2021	J	`jnl`	Black-box Detection of Backdoor Attacks with Limited Information and Data. CoRR Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
2021	J	`jnl`	Exploring Memorization in Adversarial Training. CoRR Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
2021	A*	`conf`	LiBRe: A Practical Bayesian Approach to Adversarial Detection. CVPR Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu
2021	J	`jnl`	LiBRe: A Practical Bayesian Approach to Adversarial Detection. CoRR Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu
2020	A*	`conf`	Adversarial Distributional Training for Robust Deep Learning. NeurIPS Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su
2020	J	`jnl`	Adversarial Distributional Training for Robust Deep Learning. CoRR Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2020	A*	`conf`	AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing
2020	J	`jnl`	BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning. CoRR Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu
2020	A*	`conf`	Understanding and Exploring the Network with Stochastic Architectures. NeurIPS Zhijie Deng, Yinpeng Dong, Shifeng Zhang, Jun Zhu
2019	J	`jnl`	Batch Virtual Adversarial Training for Graph Convolutional Networks. CoRR Zhijie Deng, Yinpeng Dong, Jun Zhu
2019	A*	`conf`	Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. ICCV Zhijie Deng, Yucen Luo, Jun Zhu
2019	J	`jnl`	Cluster Alignment with a Teacher for Unsupervised Domain Adaptation. CoRR Zhijie Deng, Yucen Luo, Jun Zhu
2019	J	`jnl`	DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures. CoRR Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
2018	—	`conf`	Cavs: An Efficient Runtime System for Dynamic Neural Networks. USENIX ATC Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing
2017	—	`conf`	Structured Generative Adversarial Networks. NIPS Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
2017	J	`jnl`	Structured Generative Adversarial Networks. CoRR Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing