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ORCIDJun Zhu 0001
Person information
- affiliation: Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, TNList, Beijing, China
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation (former): Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
Other persons with the same name
- Jun Zhu — disambiguation page
- Jun Zhu 0002 — University of North Carolina at Charlotte, Charlotte, NC, USA
- Jun Zhu 0003 — Technical University of Eindhoven, The Netherlands
- Jun Zhu 0004 — Nanjing Normal University, China
- Jun Zhu 0005
![[0000-0002-1773-548X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1773-548X")
— The University of British Columbia, Department of Electrical and Computer Engineering, Vancouver, BC, Canada - Jun Zhu 0006 — Xiamen University, Department of Chemistry, China (and 1 more)
- Jun Zhu 0007 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China
- Jun Zhu 0008 — Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China (and 2 more)
- Jun Zhu 0009 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Jun Zhu 0010 — Jinling Institute of Technology, Nanjing, China (and 1 more)
- Jun Zhu 0011 — Royal Institute of Technology, Stockholm, Sweden
- Jun Zhu 0012 — Northwestern Polytechnical University, Department of Civil Aviation, Xi'an, China (and 1 more)
- Jun Zhu 0013 — University of California - Irvine (UCI), Department of Informatics, CA, USA (and 1 more)
Other persons with a similar name
- Zhu-Jun Zheng
- Jianjun Zhu (aka: Jian-jun Zhu, Jian-Jun Zhu, Jian Jun Zhu) — disambiguation page
- Jun-Peng Zhu
- Jun-Wei Zhu
- Jun-Yan Zhu
- Jun-Yong Zhu (aka: Junyong Zhu)
- Lijun Zhu (aka: Li-Jun Zhu) — disambiguation page
- Yijun Zhu (aka: Yi-Jun Zhu)
- Jianjun Zhu 0001 (aka: Jian Jun Zhu 0001, Jian-Jun Zhu 0001) — Central South University, School of Geosciences and Info-Physics, Changsha, China
- Lijun Zhu 0002 (aka: Li-jun Zhu 0002) — Institute of Scientific and Technical Information of China (ISTIC), Information Technology Supporting Centre, Beijing, China
- show all similar names
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2020 – today
- 2026
[j83]Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian:
Spatio-temporal side tuning pre-trained foundation models for video-based pedestrian attribute recognition. Comput. Vis. Image Underst. 263: 104588 (2026)- [j82]Yanze Min, Yawei Sun, Yin Zhu, Jun Zhu, Bo Zhang:
Bootstrapping Large Language Models with Outsideknowledge for Knowledge-based Visual Question Answering. Mach. Intell. Res. 23(1): 115-132 (2026) - [j81]Chunkai Zhang, Jun Zhu, Quanjian Dai, Hanyu Zhang, Ryan Han-Yuan Zhang, Wensheng Gan, Philip S. Yu:
Utility-driven mining of contiguous sequences. Int. J. Mach. Learn. Cybern. 17(8): 380 (2026) - [j80]Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu:
Neural Eigenfunctions are Structured Representation Learners. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 2445-2457 (2026) - [j79]Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou:
OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 2566-2580 (2026) - [c314]Hongzhe Bi, Lingxuan Wu, Tianwei Lin, Hengkai Tan, Zhizhong Su, Hang Su, Jun Zhu:
H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation. AAAI 2026: 18135-18143 - [c313]Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu, Jiayang Liu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong:
Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding. AAAI 2026: 37979-37987 - [c312]Yuxuan Jiang, Zehua Chen, Zeqian Ju, Yusheng Dai, Weibei Dou, Jun Zhu:
ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling. ACL (1) 2026: 1394-1413 - [i375]Yusheng Dai, Zehua Chen, Yuxuan Jiang, Baolong Gao, Qiuhong Ke, Jun Zhu, Jianfei Cai:
Omni2Sound: Towards Unified Video-Text-to-Audio Generation. CoRR abs/2601.02731 (2026) - [i374]Hongzhou Zhu, Min Zhao, Guande He, Hang Su, Chongxuan Li, Jun Zhu:
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation. CoRR abs/2602.02214 (2026) - [i373]Songming Liu, Bangguo Li, Kai Ma, Lingxuan Wu, Hengkai Tan, Xiao Ouyang, Hang Su, Jun Zhu:
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization. CoRR abs/2602.03310 (2026) - [i372]Guanglong Sun, Siyuan Zhang, Liyuan Wang, Jun Zhu, Hang Su, Yi Zhong:
Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection. CoRR abs/2602.07892 (2026) - [i371]Guanglong Sun, Hongwei Yan, Liyuan Wang, Zhiqi Kang, Shuang Cui, Hang Su, Jun Zhu, Yi Zhong:
MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning. CoRR abs/2602.07940 (2026) - [i370]Yu Shang, Zhuohang Li, Yiding Ma, Weikang Su, Xin Jin, Ziyou Wang, Lei Jin, Xin Zhang, Yinzhou Tang, Haisheng Su, Chen Gao, Wei Wu, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Wenwu Zhu, Yong Li:
WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models. CoRR abs/2602.08971 (2026) - [i369]Jintao Zhang, Haoxu Wang, Kai Jiang, Kaiwen Zheng, Youhe Jiang, Ion Stoica, Jianfei Chen, Jun Zhu, Joseph E. Gonzalez:
SLA2: Sparse-Linear Attention with Learnable Routing and QAT. CoRR abs/2602.12675 (2026) - [i368]Jintao Zhang, Kai Jiang, Chendong Xiang, Weiqi Feng, Yuezhou Hu, Haocheng Xi, Jianfei Chen, Jun Zhu:
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning. CoRR abs/2602.13515 (2026) - [i367]Jintao Zhang, Marco Chen, Haoxu Wang, Kai Jiang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu:
SageBwd: A Trainable Low-bit Attention. CoRR abs/2603.02170 (2026) - [i366]Yichi Zhang, Nabeel Seedat, Yinpeng Dong, Peng Cui, Jun Zhu, Mihaela van der Schaar:
Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification. CoRR abs/2603.02798 (2026) - [i365]Chang Su, Zhongkai Hao, Zhizhou Zhang, Zeyu Xia, Youjia Wu, Hang Su, Jun Zhu:
Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving. CoRR abs/2603.07642 (2026) - [i364]Weiyu Huang, Pengle Zhang, Xiaolu Zhang, Jun Zhou, Jun Zhu, Jianfei Chen:
Deterministic Differentiable Structured Pruning for Large Language Models. CoRR abs/2603.08065 (2026) - [i363]Yunrui Yu, Xuxiang Feng, Pengda Qin, Pengyang Wang, Kafeng Wang, Cheng-Zhong Xu, Hang Su, Jun Zhu:
Dummy-Aware Weighted Attack (DAWA): Breaking the Safe Sink in Dummy Class Defenses. CoRR abs/2603.29182 (2026) - [i362]MotuBrain Team, Chendong Xiang, Fan Bao, Haitian Liu, Hengkai Tan, Hongzhe Bi, James Li, Jiabao Liu, Jingrui Pang, Kiro Jing, Louis Liu, Mengchen Cai, Rongxu Cui, Ruowen Zhao, Runqing Wang, Shuhe Huang, Yao Feng, Yinze Rong, Zeyuan Wang, Jun Zhu:
MotuBrain: An Advanced World Action Model for Robot Control. CoRR abs/2604.27792 (2026) - [i361]Xiaopei Zhu, Guanning Zeng, Zhanhao Hu, Jun Zhu, Xiaolin Hu:
Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern. CoRR abs/2605.04675 (2026) - [i360]Han Wang, Jintao Zhang, Kai Jiang, Haoxu Wang, Jianfei Chen, Jun Zhu:
KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels. CoRR abs/2605.04956 (2026) - [i359]Langzhou He, Jun Zhu, Yue Zhou, Zhengyao Gu, Junhua Liu, Wei-Chieh Huang, Henry Peng Zou, David Wipf, Philip S. Yu, Qitian Wu:
Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy. CoRR abs/2605.14558 (2026) - [i358]Min Zhao, Hongzhou Zhu, Kaiwen Zheng, Zihan Zhou, Bokai Yan, Xinyuan Li, Xiao Yang, Chongxuan Li, Jun Zhu:
Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation. CoRR abs/2605.15141 (2026) - [i357]Yu Shang, Yinzhou Tang, Yiding Ma, Zhuohang Li, Lei Jin, Weikang Su, Xin Jin, Zhaolu Wang, Ziyou Wang, Xin Zhang, Haisheng Su, Weizhen He, Wei Wu, Haoyi Duan, Gordon Wetzstein, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Wenwu Zhu, Chen Gao, Yong Li:
WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform. CoRR abs/2605.17912 (2026) - [i356]Hanyu Li, Yichi Zhang, Speed Zhu, Hang Su, Jun Zhu, Yinpeng Dong:
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations. CoRR abs/2605.26177 (2026) - [i355]Ruowen Zhao, Bangguo Li, Zuyan Liu, Yinan Liang, Junliang Ye, Fangfu Liu, Diankun Wu, Zhengyi Wang, Xumin Yu, Yongming Rao, Han Hu, Jun Zhu:
GEM: Generative Supervision Helps Embodied Intelligence. CoRR abs/2605.28548 (2026) - [i354]Min Zhao, Hongzhou Zhu, Bokai Yan, Zihan Zhou, Yimin Chen, Wenqiang Sun, Kaiwen Zheng, Guande He, Xiao Yang, Chongxuan Li, Fan Bao, Jun Zhu:
minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models. CoRR abs/2605.30263 (2026) - [i353]Zeyu Xia, Jun Zhu, Dong Yan:
FunctionEvolve: Structure-Guided Symbolic Regression with LLMs. CoRR abs/2606.07704 (2026) - [i352]Lingxuan Wu, Zijian Zhu, Lizhong Wang, Chengyang Ying, Huayu Chen, Xiao Yang, Fangming Liu, Jun Zhu:
PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation. CoRR abs/2606.08414 (2026) - [i351]Youhe Jiang, Haoxu Wang, Haotong Bao, Kai Jiang, Jianfei Chen, Jun Zhu, Fangcheng Fu, Jintao Zhang:
TurboServe: Serving Streaming Video Generation Efficiently and Economically. CoRR abs/2606.19271 (2026) - [i350]Kaiwen Zheng, Guande He, Min Zhao, Jintao Zhang, Huayu Chen, Jianfei Chen, Chen-Hsuan Lin, Ming-Yu Liu, Jun Zhu, Qianli Ma:
Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models. CoRR abs/2606.25473 (2026) - [i349]Guanglong Sun, Shuang Cui, Bo Lei, Liyuan Wang, Zihan Zhai, Hongwei Yan, Hang Su, Jun Zhu, Yi Zhong:
ComMem: Complementary Memory Systems for Test-Time Adaptation of Vision-Language Models. CoRR abs/2606.28719 (2026) - [i348]Jintao Zhang, Kai Jiang, Jintao Chen, Xu Wang, Yang Luo, Yuji Wang, Dechuang Chen, Jungang Li, Chengyang Ye, Marco Chen, Hongzhou Zhu, Min Zhao, Yuxuan Jiang, Zhengkun Huang, Chendong Xiang, Kaiwen Zheng, Haoxu Wang, Xiaohang Wang, Qi Jia, Xin Chen, Yimin Chen, Youhe Jiang, Fangcheng Fu, Zhijie Deng, Fan Bao, Jianfei Chen, Jun Zhu:
Vidu S1: A Real-Time Interactive Video Generation Model. CoRR abs/2607.03118 (2026) - 2025
- [j78]Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu:
ControlVideo: conditional control for one-shot text-driven video editing and beyond. Sci. China Inf. Sci. 68(3) (2025) - [j77]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. Mach. Intell. Res. 22(4): 730-751 (2025) - [j76]Xiao Yang, Longlong Xu, Tianyu Pang, Yinpeng Dong, Yikai Wang, Hang Su, Jun Zhu:
Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition. Int. J. Comput. Vis. 133(1): 353-371 (2025) - [j75]Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng:
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. Int. J. Comput. Vis. 133(2): 567-589 (2025) - [j74]Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent:
Adaptive Shielding via Parametric Safety Proofs. Proc. ACM Program. Lang. 9(OOPSLA1): 816-843 (2025) - [j73]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu:
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. IEEE Trans. Pattern Anal. Mach. Intell. 47(8): 6687-6702 (2025) - [j72]Xiaopei Zhu, Siyuan Huang, Zhanhao Hu, Jianmin Li, Jun Zhu, Xiaolin Hu:
Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8973-8989 (2025) - [j71]Xiao Yang, Lingxuan Wu, Lizhong Wang, Chengyang Ying, Hang Su, Jun Zhu:
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 9078-9094 (2025) - [j70]Qinghua Lu, Apostol Vassilev, Jun Zhu, Foutse Khomh:
Guest Editorial: Operationalizing Responsible AI. IEEE Trans. Artif. Intell. 6(2): 252-253 (2025) - [j69]Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu:
SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations. ACM Trans. Knowl. Discov. Data 19(2): 54:1-54:23 (2025) - [c311]Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen:
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. AAAI 2025: 24167-24175 - [c310]Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu:
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning. CVPR 2025: 25812-25821 - [c309]Ruowen Zhao, Junliang Ye, Zhengyi Wang, Guangce Liu, Yiwen Chen, Yikai Wang, Jun Zhu:
DeepMesh: Auto-Regressive Artist-Mesh Creation with Reinforcement Learning. ICCV 2025: 10612-10623 - [c308]Wenqiang Sun, Shuo Chen, Fangfu Liu, Zilong Chen, Yueqi Duan, Jun Zhu, Jun Zhang, Yikai Wang:
Dimensionx: Create Any 3D and 4D Scenes From a Single Image With Decoupled Video Diffusion. ICCV 2025: 13695-13706 - [c307]Yiwen Chen, Yikai Wang, Yihao Luo, Zhengyi Wang, Zilong Chen, Jun Zhu, Chi Zhang, Guosheng Lin:
MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization. ICCV 2025: 13922-13931 - [c306]Huayu Chen, Hang Su, Peize Sun, Jun Zhu:
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment. ICLR 2025 - [c305]Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar:
Robust Representation Consistency Model via Contrastive Denoising. ICLR 2025 - [c304]Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen:
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. ICLR 2025 - [c303]Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu:
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. ICLR 2025 - [c302]Ziteng Wang, Jun Zhu, Jianfei Chen:
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing. ICLR 2025 - [c301]Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen:
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. ICLR 2025 - [c300]Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. ICLR 2025 - [c299]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Elucidating the Preconditioning in Consistency Distillation. ICLR 2025 - [c298]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Diffusion Bridge Implicit Models. ICLR 2025 - [c297]Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu:
SparseDM: Toward Sparse Efficient Diffusion Models. ICME 2025: 1-7 - [c296]Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu:
Visual Generation Without Guidance. ICML 2025 - [c295]Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen:
Oscillation-Reduced MXFP4 Training for Vision Transformers. ICML 2025 - [c294]Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen:
FrameBridge: Improving Image-to-Video Generation with Bridge Models. ICML 2025 - [c293]Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen:
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization. ICML 2025 - [c292]Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen:
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference. ICML 2025 - [c291]Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu:
STAIR: Improving Safety Alignment with Introspective Reasoning. ICML 2025 - [c290]Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu:
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers. ICML 2025 - [c289]Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. ICML 2025 - [c288]Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu:
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. IJCAI 2025: 7191-7199 - [c287]Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu:
Fairness without Demographics through Learning Graph of Gradients. KDD (1) 2025: 918-926 - [c286]Yuxuan Jiang, Zehua Chen, Zeqian Ju, Chang Li, Weibei Dou, Jun Zhu:
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation. ACM Multimedia 2025: 9871-9880 - [c285]Chang Li, Zehua Chen, Liyuan Wang, Jun Zhu:
Audio Super-Resolution with Latent Bridge Models. NeurIPS 2025 - [c284]Junliang Ye, Zhengyi Wang, Ruowen Zhao, Shenghao Xie, Jun Zhu:
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding. NeurIPS 2025 - [c283]Jintao Zhang, Jia Wei, Haoxu Wang, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Kai Jiang, Jianfei Chen, Jun Zhu:
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training. NeurIPS 2025 - [c282]Chenyu Zheng, Xinyu Zhang, Rongzhen Wang, Wei Huang, Zhi Tian, Weilin Huang, Jun Zhu, Chongxuan Li:
Scaling Diffusion Transformers Efficiently via μP. NeurIPS 2025 - [c281]Yuhao Zhou, Jintao Xu, Bingrui Li, Chenglong Bao, Chao Ding, Jun Zhu:
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees. NeurIPS 2025 - [d1]Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent:
Adaptive Shielding via Parametric Safety Proofs. Zenodo, 2025
- [i347]Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Zhongjia Ba, Kui Ren, Jun Zhu, Anima Anandkumar:
Robust Representation Consistency Model via Contrastive Denoising. CoRR abs/2501.13094 (2025) - [i346]Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu:
Visual Generation Without Guidance. CoRR abs/2501.15420 (2025) - [i345]Huanran Chen, Yinpeng Dong, Zeming Wei, Hang Su, Jun Zhu:
Towards the Worst-case Robustness of Large Language Models. CoRR abs/2501.19040 (2025) - [i344]Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu:
STAIR: Improving Safety Alignment with Introspective Reasoning. CoRR abs/2502.02384 (2025) - [i343]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Elucidating the Preconditioning in Consistency Distillation. CoRR abs/2502.02922 (2025) - [i342]Yuhao Zhou, Jintao Xu, Chenglong Bao, Chao Ding, Jun Zhu:
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees. CoRR abs/2502.04799 (2025) - [i341]Yijun Yang, Lichao Wang, Xiao Yang, Lanqing Hong, Jun Zhu:
Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails. CoRR abs/2502.05772 (2025) - [i340]Chengyang Ying, Huayu Chen, Xinning Zhou, Zhongkai Hao, Hang Su, Jun Zhu:
Exploratory Diffusion Policy for Unsupervised Reinforcement Learning. CoRR abs/2502.07279 (2025) - [i339]Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu:
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. CoRR abs/2502.09923 (2025) - [i338]Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu:
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers. CoRR abs/2502.15894 (2025) - [i337]Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen:
SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference. CoRR abs/2502.18137 (2025) - [i336]Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent:
Adaptive Shielding via Parametric Safety Proofs. CoRR abs/2502.18879 (2025) - [i335]Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen:
Oscillation-Reduced MXFP4 Training for Vision Transformers. CoRR abs/2502.20853 (2025) - [i334]Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. CoRR abs/2503.01103 (2025) - [i333]Yuezhou Hu, Weiyu Huang, Zichen Liang, Chang Chen, Jintao Zhang, Jun Zhu, Jianfei Chen:
Identifying Sensitive Weights via Post-quantization Integral. CoRR abs/2503.01901 (2025) - [i332]Pengle Zhang, Jia Wei, Jintao Zhang, Jun Zhu, Jianfei Chen:
Accurate INT8 Training Through Dynamic Block-Level Fallback. CoRR abs/2503.08040 (2025) - [i331]Ruowen Zhao, Junliang Ye, Zhengyi Wang, Guangce Liu, Yiwen Chen, Yikai Wang, Jun Zhu:
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning. CoRR abs/2503.15265 (2025) - [i330]Yikai Wang, Guangce Liu, Xinzhou Wang, Zilong Chen, Jiafang Li, Xin Liang, Fuchun Sun, Jun Zhu:
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization. CoRR abs/2504.04153 (2025) - [i329]Jintao Zhang, Jia Wei, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Haoxu Wang, Kai Jiang, Jun Zhu, Jianfei Chen:
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training. CoRR abs/2505.11594 (2025) - [i328]Chenyu Zheng, Xinyu Zhang, Rongzhen Wang, Wei Huang, Zhi Tian, Weilin Huang, Jun Zhu, Chongxuan Li:
Scaling Diffusion Transformers Efficiently via μP. CoRR abs/2505.15270 (2025) - [i327]Huanran Chen, Yinpeng Dong, Zeming Wei, Yao Huang, Yichi Zhang, Hang Su, Jun Zhu:
Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives. CoRR abs/2505.17646 (2025) - [i326]Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang:
Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. CoRR abs/2505.18116 (2025) - [i325]Jintao Zhang, Xiaoming Xu, Jia Wei, Haofeng Huang, Pengle Zhang, Chendong Xiang, Jun Zhu, Jianfei Chen:
SageAttention2++: A More Efficient Implementation of SageAttention2. CoRR abs/2505.21136 (2025) - [i324]Zehua Chen, Yuyang Miao, Liyuan Wang, Luyun Fan, Danilo P. Mandic, Jun Zhu:
Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer. CoRR abs/2505.22306 (2025) - [i323]Xiao Yang, Jiawei Chen, Jun Luo, Zhengwei Fang, Yinpeng Dong, Hang Su, Jun Zhu:
MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments. CoRR abs/2506.01616 (2025) - [i322]Junliang Ye, Zhengyi Wang, Ruowen Zhao, Shenghao Xie, Jun Zhu:
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding. CoRR abs/2506.01853 (2025) - [i321]Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong, Wenbo Hu:
Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding. CoRR abs/2506.12336 (2025) - [i320]Hang Su, Jun Luo, Chang Liu, Xiao Yang, Yichi Zhang, Yinpeng Dong, Jun Zhu:
A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents. CoRR abs/2506.23844 (2025) - [i319]Yuxuan Jiang, Zehua Chen, Zeqian Ju, Chang Li, Weibei Dou, Jun Zhu:
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation. CoRR abs/2507.08557 (2025) - [i318]Hengkai Tan, Yao Feng, Xinyi Mao, Shuhe Huang, Guodong Liu, Zhongkai Hao, Hang Su, Jun Zhu:
AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation. CoRR abs/2507.12768 (2025) - [i317]Yao Feng, Hengkai Tan, Xinyi Mao, Guodong Liu, Shuhe Huang, Chendong Xiang, Hang Su, Jun Zhu:
Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation. CoRR abs/2507.12898 (2025) - [i316]Xiao Yang, Lingxuan Wu, Lizhong Wang, Chengyang Ying, Hang Su, Jun Zhu:
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments. CoRR abs/2507.18484 (2025) - [i315]Yunrui Yu, Hang Su, Cheng-zhong Xu, Zhizhong Su, Jun Zhu:
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss. CoRR abs/2507.22428 (2025) - [i314]Yunrui Yu, Kafeng Wang, Hang Su, Jun Zhu:
RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function. CoRR abs/2507.22446 (2025) - [i313]Hongzhe Bi, Lingxuan Wu, Tianwei Lin, Hengkai Tan, Zhizhong Su, Hang Su, Jun Zhu:
H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation. CoRR abs/2507.23523 (2025) - [i312]Yichi Zhang, Yao Huang, Yifan Wang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu:
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation. CoRR abs/2508.15370 (2025) - [i311]Ranjie Duan, Jiexi Liu, Xiaojun Jia, Shiji Zhao, Ruoxi Cheng, Fengxiang Wang, Cheng Wei, Yong Xie, Chang Liu, Defeng Li, Yinpeng Dong, Yichi Zhang, Yuefeng Chen, Chongwen Wang, Xingjun Ma, Xingxing Wei, Yang Liu, Hang Su, Jun Zhu, Xinfeng Li, Yitong Sun, Jie Zhang, Jinzhao Hu, Sha Xu, Wenchao Yang, Yitong Yang, Xingyao Zhang, Yingshui Tan, Jialing Tao, Hui Xue:
Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models. CoRR abs/2509.01909 (2025) - [i310]Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu:
DiffusionNFT: Online Diffusion Reinforcement with Forward Process. CoRR abs/2509.16117 (2025) - [i309]Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jun Zhu, Jianfei Chen:
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention. CoRR abs/2509.24006 (2025) - [i308]Yichi Zhang, Yue Ding, Jingwen Yang, Tianwei Luo, Dongbai Li, Ranjie Duan, Qiang Liu, Hang Su, Yinpeng Dong, Jun Zhu:
Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention. CoRR abs/2509.24393 (2025) - [i307]Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen:
Efficient Hyperparameter Tuning via Trajectory Invariance Principle. CoRR abs/2509.25049 (2025) - [i306]Chi Zhang, Zehua Chen, Kaiwen Zheng, Jun Zhu:
VoiceBridge: Designing Latent Bridge Models for General Speech Restoration at Scale. CoRR abs/2509.25275 (2025) - [i305]Weiyu Huang, Yuezhou Hu, Jun Zhu, Jianfei Chen:
CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models. CoRR abs/2509.25996 (2025) - [i304]Renhua Ding, Xiao Yang, Zhengwei Fang, Jun Luo, Kun He, Jun Zhu:
Effective and Stealthy One-Shot Jailbreaks on Deployed Mobile Vision-Language Agents. CoRR abs/2510.07809 (2025) - [i303]Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency. CoRR abs/2510.08431 (2025) - [i302]Yuxuan Jiang, Zehua Chen, Zeqian Ju, Yusheng Dai, Weibei Dou, Jun Zhu:
ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling. CoRR abs/2510.08878 (2025) - [i301]Junliang Ye, Shenghao Xie, Ruowen Zhao, Zhengyi Wang, Hongyu Yan, Wenqiang Zu, Lei Ma, Jun Zhu:
NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks. CoRR abs/2510.15019 (2025) - [i300]Yuxiang Chen, Xiaoming Xu, Pengle Zhang, Michael Beyer, Martin Rapp, Jun Zhu, Jianfei Chen:
TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control. CoRR abs/2510.27527 (2025) - [i299]Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu:
UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers. CoRR abs/2511.20123 (2025) - [i298]Min Zhao, Bokai Yan, Xue Yang, Hongzhou Zhu, Jintao Zhang, Shilong Liu, Chongxuan Li, Jun Zhu:
UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers. CoRR abs/2512.04504 (2025) - [i297]Hongzhe Bi, Hengkai Tan, Shenghao Xie, Zeyuan Wang, Shuhe Huang, Haitian Liu, Ruowen Zhao, Yao Feng, Chendong Xiang, Yinze Rong, Hongyan Zhao, Hanyu Liu, Zhizhong Su, Lei Ma, Hang Su, Jun Zhu:
Motus: A Unified Latent Action World Model. CoRR abs/2512.13030 (2025) - [i296]Jintao Zhang, Kaiwen Zheng, Kai Jiang, Haoxu Wang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu:
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times. CoRR abs/2512.16093 (2025) - [i295]Yao Feng, Chendong Xiang, Xinyi Mao, Hengkai Tan, Zuyue Zhang, Shuhe Huang, Kaiwen Zheng, Haitian Liu, Hang Su, Jun Zhu:
Vidarc: Embodied Video Diffusion Model for Closed-loop Control. CoRR abs/2512.17661 (2025) - 2024
- [j68]You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang:
Understanding adversarial attacks on observations in deep reinforcement learning. Sci. China Inf. Sci. 67(5) (2024) - [j67]Jinlai Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan:
Improving transferability of 3D adversarial attacks with scale and shear transformations. Inf. Sci. 662: 120245 (2024) - [j66]Peiyao Li, Lan Hua, Zhechao Ma, Wenbo Hu, Ye Liu, Jun Zhu:
Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification. J. Chem. Inf. Model. 64(23): 8705-8717 (2024) - [j65]Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu:
A Comprehensive Survey of Continual Learning: Theory, Method and Application. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5362-5383 (2024) - [j64]Jun Zhu, Hao Zhang, Weihong Chen, Xingwei Li:
Operational Decisions of Construction and Demolition Waste Recycling Supply Chain Members under Altruistic Preferences. Syst. 12(9): 346 (2024) - [j63]Ke Su, Xingxing Zhang, Siyang Zhang, Jun Zhu, Bo Zhang:
To Boost Zero-Shot Generalization for Embodied Reasoning With Vision-Language Pre-Training. IEEE Trans. Image Process. 33: 5370-5381 (2024) - [j62]Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu:
Calibrating Deep Ensemble through Functional Variational Inference. Trans. Mach. Learn. Res. 2024 (2024) - [j61]Ke Su, Hang Su, Chongxuan Li, Jun Zhu, Bo Zhang:
Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2667-2679 (2024) - [c280]Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu:
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAAI 2024: 11390-11398 - [c279]Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu:
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CVPR 2024: 26552-26562 - [c278]Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang:
Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection. ECCV (47) 2024: 38-55 - [c277]Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu:
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model. ECCV (31) 2024: 57-74 - [c276]Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li:
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. ECCV (47) 2024: 126-142 - [c275]Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan, Jun Zhu:
DreamReward: Text-to-3D Generation with Human Preference. ECCV (70) 2024: 259-276 - [c274]Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu:
Score Regularized Policy Optimization through Diffusion Behavior. ICLR 2024 - [c273]Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu:
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. ICLR 2024 - [c272]Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu:
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image. ICLR 2024 - [c271]Ziteng Wang, Jianfei Chen, Jun Zhu:
Efficient Backpropagation with Variance Controlled Adaptive Sampling. ICLR 2024 - [c270]Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu:
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. ICLR 2024 - [c269]Chendong Xiang, Armando Teles Fortes, Khang Hui Chua, Hang Su, Jun Zhu:
FeedFace: Efficient Inference-based Face Personalization via Diffusion Models. Tiny Papers @ ICLR 2024 - [c268]Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu:
Robust Classification via a Single Diffusion Model. ICML 2024: 6643-6665 - [c267]Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu:
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. ICML 2024: 8163-8183 - [c266]Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu:
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. ICML 2024: 17616-17635 - [c265]Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu:
Accelerating Transformer Pre-training with 2: 4 Sparsity. ICML 2024: 19531-19543 - [c264]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient Exact Optimization of Language Model Alignment. ICML 2024: 21648-21671 - [c263]Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu:
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. ICML 2024: 47607-47626 - [c262]Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu:
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. ICML 2024: 54049-54063 - [c261]Yikai Wang, Xinzhou Wang, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu:
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels. NeurIPS 2024 - [c260]Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu:
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model. NeurIPS 2024 - [c259]Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu:
Diffusion Models are Certifiably Robust Classifiers. NeurIPS 2024 - [c258]Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu:
Noise Contrastive Alignment of Language Models with Explicit Rewards. NeurIPS 2024 - [c257]Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu:
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control. NeurIPS 2024 - [c256]Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu:
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. NeurIPS 2024 - [c255]Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu:
Consistency Diffusion Bridge Models. NeurIPS 2024 - [c254]Yuezhou Hu, Jun Zhu, Jianfei Chen:
S-STE: Continuous Pruning Function for Efficient 2: 4 Sparse Pre-training. NeurIPS 2024 - [c253]Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu:
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. NeurIPS 2024 - [c252]Yibo Miao, Yifan Zhu, Lijia Yu, Jun Zhu, Xiao-Shan Gao, Yinpeng Dong:
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models. NeurIPS 2024 - [c251]Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu:
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. NeurIPS 2024 - [c250]Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu:
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models. NeurIPS 2024 - [c249]Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li:
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability. NeurIPS 2024 - [i294]Ziqi Yuan, Liyuan Wang, Wenbo Ding, Xingxing Zhang, Jiachen Zhong, Jianyong Ai, Jianmin Li, Jun Zhu:
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection. CoRR abs/2401.05362 (2024) - [i293]Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu:
Preconditioning for Physics-Informed Neural Networks. CoRR abs/2402.00531 (2024) - [i292]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient and Exact Optimization of Language Model Alignment. CoRR abs/2402.00856 (2024) - [i291]Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu:
Your Diffusion Model is Secretly a Certifiably Robust Classifier. CoRR abs/2402.02316 (2024) - [i290]Huayu Chen, Guande He, Hang Su, Jun Zhu:
Noise Contrastive Alignment of Language Models with Explicit Rewards. CoRR abs/2402.05369 (2024) - [i289]Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu:
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators. CoRR abs/2402.15218 (2024) - [i288]Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu:
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. CoRR abs/2402.16349 (2024) - [i287]Ziteng Wang, Jianfei Chen, Jun Zhu:
Efficient Backpropagation with Variance-Controlled Adaptive Sampling. CoRR abs/2402.17227 (2024) - [i286]Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu:
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. CoRR abs/2403.03542 (2024) - [i285]Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu:
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model. CoRR abs/2403.05034 (2024) - [i284]Haocheng Xi, Yuxiang Chen, Kang Zhao, Kaijun Zheng, Jianfei Chen, Jun Zhu:
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. CoRR abs/2403.12422 (2024) - [i283]Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan, Jun Zhu:
DreamReward: Text-to-3D Generation with Human Preference. CoRR abs/2403.14613 (2024) - [i282]Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu:
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. CoRR abs/2404.00540 (2024) - [i281]Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu:
Accelerating Transformer Pre-Training with 2: 4 Sparsity. CoRR abs/2404.01847 (2024) - [i280]Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu:
SparseDM: Toward Sparse Efficient Diffusion Models. CoRR abs/2404.10445 (2024) - [i279]Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu:
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CoRR abs/2404.11207 (2024) - [i278]Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian:
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition. CoRR abs/2404.17929 (2024) - [i277]Luxi Chen, Zhengyi Wang, Chongxuan Li, Tingting Gao, Hang Su, Jun Zhu:
MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction. CoRR abs/2404.19525 (2024) - [i276]Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu:
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models. CoRR abs/2405.04233 (2024) - [i275]Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu:
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. CoRR abs/2405.14073 (2024) - [i274]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Diffusion Bridge Implicit Models. CoRR abs/2405.15885 (2024) - [i273]Yikai Wang, Xinzhou Wang, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu:
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels. CoRR abs/2405.16822 (2024) - [i272]Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li:
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability. CoRR abs/2405.16845 (2024) - [i271]Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu:
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. CoRR abs/2405.19098 (2024) - [i270]Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu:
Accurate and Reliable Predictions with Mutual-Transport Ensemble. CoRR abs/2405.19656 (2024) - [i269]Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu:
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. CoRR abs/2405.19885 (2024) - [i268]Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu:
Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. CoRR abs/2406.07057 (2024) - [i267]Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu:
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model. CoRR abs/2406.15735 (2024) - [i266]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu:
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. CoRR abs/2407.05229 (2024) - [i265]Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia Yu, Jun Zhu, Xiao-Shan Gao:
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models. CoRR abs/2407.05965 (2024) - [i264]Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu:
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control. CoRR abs/2407.09024 (2024) - [i263]Weiyu Huang, Guohao Jian, Yuezhou Hu, Jun Zhu, Jianfei Chen:
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. CoRR abs/2407.20584 (2024) - [i262]Yiwen Chen, Yikai Wang, Yihao Luo, Zhengyi Wang, Zilong Chen, Jun Zhu, Chi Zhang, Guosheng Lin:
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization. CoRR abs/2408.02555 (2024) - [i261]Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. CoRR abs/2409.02908 (2024) - [i260]Yuezhou Hu, Jun Zhu, Jianfei Chen:
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training. CoRR abs/2409.09099 (2024) - [i259]Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen:
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. CoRR abs/2410.02367 (2024) - [i258]Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen:
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. CoRR abs/2410.04870 (2024) - [i257]Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu:
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. CoRR abs/2410.07864 (2024) - [i256]Huayu Chen, Hang Su, Peize Sun, Jun Zhu:
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment. CoRR abs/2410.09347 (2024) - [i255]Yuji Wang, Zehua Chen, Xiaoyu Chen, Jun Zhu, Jianfei Chen:
FrameBridge: Improving Image-to-Video Generation with Bridge Models. CoRR abs/2410.15371 (2024) - [i254]Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu:
Consistency Diffusion Bridge Models. CoRR abs/2410.22637 (2024) - [i253]Hengkai Tan, Xuezhou Xu, Chengyang Ying, Xinyi Mao, Songming Liu, Xingxing Zhang, Hang Su, Jun Zhu:
ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation. CoRR abs/2411.01850 (2024) - [i252]Fengxiang Wang, Ranjie Duan, Peng Xiao, Xiaojun Jia, Yuefeng Chen, Chongwen Wang, Jialing Tao, Hang Su, Jun Zhu, Hui Xue:
MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue. CoRR abs/2411.03814 (2024) - [i251]Zhengyi Wang, Jonathan Lorraine, Yikai Wang, Hang Su, Jun Zhu, Sanja Fidler, Xiaohui Zeng:
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models. CoRR abs/2411.09595 (2024) - [i250]Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen:
SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration. CoRR abs/2411.10958 (2024) - [i249]Chuan Liu, Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu:
Scaling Laws for Black box Adversarial Attacks. CoRR abs/2411.16782 (2024) - [i248]Peng Cui, Guande He, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu:
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models. CoRR abs/2411.17767 (2024) - [i247]