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Jiachen Lu
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2020 – today
- 2024
- [j4]Yifan Sun, Jia Wu, Jinyue Qian, Qiuqiang Zhou, Xianqi Liu, Jiachen Lu:
A Dynamic Event-Triggered Cooperative Method of Economic Operation for Integrated Energy Systems. IEEE Access 12: 147851-147859 (2024) - [j3]Jiachen Lu, Junge Zhang, Xiatian Zhu, Jianfeng Feng, Tao Xiang, Li Zhang:
Softmax-Free Linear Transformers. Int. J. Comput. Vis. 132(8): 3355-3374 (2024) - [j2]Yunhe Guan, Jiachen Lu, Hao Zhang, Zhen Dou, Haifeng Chen, Feng Liang:
A comparative study of work function variations in III-V heterojunction and homojunction tunnel field-effect transistors. Microelectron. J. 145: 106118 (2024) - [c13]Renyuan Peng, Xinyue Cai, Hang Xu, Jiachen Lu, Feng Wen, Wei Zhang, Li Zhang:
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement. AAAI 2024: 4497-4505 - [c12]Jiachen Lu, Ze Huang, Zeyu Yang, Jiahui Zhang, Li Zhang:
WoVoGen: World Volume-Aware Diffusion for Controllable Multi-camera Driving Scene Generation. ECCV (80) 2024: 329-345 - [c11]Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang:
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping. ICLR 2024 - [i14]Renyuan Peng, Xinyue Cai, Hang Xu, Jiachen Lu, Feng Wen, Wei Zhang, Li Zhang:
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement. CoRR abs/2401.17609 (2024) - [i13]Yurui Chen, Junge Zhang, Ziyang Xie, Wenye Li, Feihu Zhang, Jiachen Lu, Li Zhang:
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation. CoRR abs/2402.02112 (2024) - [i12]Jiaqi Chen, Yuxian Jiang, Jiachen Lu, Li Zhang:
S-Agents: Self-organizing Agents in Open-ended Environments. CoRR abs/2402.04578 (2024) - [i11]Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, Li Zhang:
Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach. CoRR abs/2402.08207 (2024) - 2023
- [c10]Jiaqi Chen, Jiachen Lu, Xiatian Zhu, Li Zhang:
Generative Semantic Segmentation. CVPR 2023: 7111-7120 - [c9]Jiachen Lu, Hongyang Li, Renyuan Peng, Feng Wen, Xinyue Cai, Wei Zhang, Hang Xu, Li Zhang:
Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach. ICCV 2023: 23-33 - [c8]Qiang Wan, Zilong Huang, Jiachen Lu, Gang Yu, Li Zhang:
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation. ICLR 2023 - [c7]Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang:
SUIT: Learning Significance-Guided Information for 3D Temporal Detection. IROS 2023: 9399-9406 - [c6]Jiyun Li, Yuan Gao, Chen Qian, Jiachen Lu, Zhongqin Chen:
C-GZS: Controllable Person Image Synthesis Based on Group-Supervised Zero-Shot Learning. MMM (1) 2023: 219-230 - [c5]Jiachen Lu, Zhihao Wang, Zhongguang Zhang, Yawen Du, Yulin Zhou, Zhao Wang:
Emotion Recognition via 3D Skeleton Based Gait Analysis Using Multi-thread Attention Graph Convolutional Networks. PRCV (5) 2023: 74-85 - [i10]Qiang Wan, Zilong Huang, Jiachen Lu, Gang Yu, Li Zhang:
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation. CoRR abs/2301.13156 (2023) - [i9]Jiaqi Chen, Jiachen Lu, Xiatian Zhu, Li Zhang:
Generative Semantic Segmentation. CoRR abs/2303.11316 (2023) - [i8]Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang:
SUIT: Learning Significance-guided Information for 3D Temporal Detection. CoRR abs/2307.01807 (2023) - [i7]Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang:
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping. CoRR abs/2310.12474 (2023) - [i6]Jiachen Lu, Ze Huang, Jiahui Zhang, Zeyu Yang, Li Zhang:
WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation. CoRR abs/2312.02934 (2023) - 2022
- [c4]Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang:
Learning Ego 3D Representation as Ray Tracing. ECCV (26) 2022: 129-144 - [c3]Chenyu Yang, Yanjie Dong, Jiachen Lu, Zherui Peng:
Solving Imbalanced Data in Credit Risk Prediction: A Comparison of Resampling Strategies for Different Machine Learning Classification Algorithms, Taking Threshold Tuning into Account. MLMI 2022: 30-40 - [i5]Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang:
Learning Ego 3D Representation as Ray Tracing. CoRR abs/2206.04042 (2022) - [i4]Jiachen Lu, Li Zhang, Junge Zhang, Xiatian Zhu, Hang Xu, Jianfeng Feng:
Softmax-free Linear Transformers. CoRR abs/2207.03341 (2022) - [i3]Li Zhang, Sixiao Zheng, Jiachen Lu, Xinxuan Zhao, Xiatian Zhu, Yanwei Fu, Tao Xiang, Jianfeng Feng:
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective. CoRR abs/2207.09339 (2022) - 2021
- [c2]Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang:
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers. CVPR 2021: 6881-6890 - [c1]Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang:
SOFT: Softmax-free Transformer with Linear Complexity. NeurIPS 2021: 21297-21309 - [i2]Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang:
SOFT: Softmax-free Transformer with Linear Complexity. CoRR abs/2110.11945 (2021) - 2020
- [i1]Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang:
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers. CoRR abs/2012.15840 (2020)
2010 – 2019
- 2018
- [j1]Rui He, Yiyang Dai, Jiachen Lu, Chuanlin Mou:
Developing ladder network for intelligent evaluation system: Case of remaining useful life prediction for centrifugal pumps. Reliab. Eng. Syst. Saf. 180: 385-393 (2018)
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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