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2020 – today
- 2023
[j66]Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin:
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. IEEE Comput. Intell. Mag. 18(2): 16-17 (2023)- [j65]Yu Liu, Ang Li, Ran Cheng, Bingxuan Li, Qingguo Xie, Xiaoping Wang, Bensheng Qiu, Xun Chen, Peng Xiao:
A depth-of-interaction rebinning method based on both geometric and activity weights. Comput. Methods Programs Biomed. 240: 107703 (2023) - [j64]Jia Liu, Ran Cheng, Yaochu Jin:
Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. Neurocomputing 550: 126465 (2023) - [j63]Xingyi Zhang
, Ran Cheng, Yaochu Jin, Bernhard Sendhoff:
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. 27(3): 398-400 (2023) - [j62]Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng:
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1010-1024 (2023) - [j61]Yuan Ren, Bingbing Liu, Ran Cheng, Christopher Agia:
Lightweight Semantic-Aided Localization With Spinning LiDAR Sensor. IEEE Trans. Intell. Veh. 8(1): 605-615 (2023) - [j60]Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo:
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. IEEE Trans. Neural Networks Learn. Syst. 34(1): 475-489 (2023) - [c59]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CVPR 2023: 7756-7765 - [c58]Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo:
Accelerating Vision-Language Pretraining with Free Language Modeling. CVPR 2023: 23161-23170 - [c57]Bowen Zheng, Ran Cheng:
Rethinking Population-assisted Off-policy Reinforcement Learning. GECCO 2023: 624-632 - [i41]Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR abs/2301.12457 (2023) - [i40]Hui Bai, Ran Cheng, Yaochu Jin:
Evolutionary Reinforcement Learning: A Survey. CoRR abs/2303.04150 (2023) - [i39]Teng Wang, Jinrui Zhang, Feng Zheng, Wenhao Jiang, Ran Cheng, Ping Luo:
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos. CoRR abs/2303.06378 (2023) - [i38]Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo:
Accelerating Vision-Language Pretraining with Free Language Modeling. CoRR abs/2303.14038 (2023) - [i37]Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng:
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. CoRR abs/2304.11857 (2023) - [i36]Bowen Zheng, Ran Cheng:
Rethinking Population-assisted Off-policy Reinforcement Learning. CoRR abs/2305.02949 (2023) - [i35]Boyan Li, Luziwei Leng, Ran Cheng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao:
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference. CoRR abs/2306.12465 (2023) - [i34]Runze Yuan, Ran Cheng, Lige Liu, Tao Sun, Laurent Kneip:
Scale jump-aware pose graph relaxation for monocular SLAM with re-initializations. CoRR abs/2307.12326 (2023) - [i33]Hu Zhang, Luziwei Leng, Kaiwei Che, Qian Liu, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng:
Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons. CoRR abs/2307.12900 (2023) - [i32]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CoRR abs/2308.02066 (2023) - [i31]Yansong Huang, Zherui Zhang, Ao Jiao, Yuxin Ma, Ran Cheng:
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization. CoRR abs/2308.05640 (2023) - [i30]Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti:
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. CoRR abs/2308.06515 (2023) - 2022
- [j59]Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. 54(8): 174:1-174:34 (2022) - [j58]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid attention-based transformer block model for distant supervision relation extraction. Neurocomputing 470: 29-39 (2022) - [j57]Ke Hu, Wenhao Sun, Zhongbo Nie, Ran Cheng, Song Chen, Yi Kang:
Real-time infrared small target detection network and accelerator design. Integr. 87: 241-252 (2022) - [j56]Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin:
A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. 613: 591-608 (2022) - [j55]Wenxiu He, Ran Cheng, Keji Mao, Ke Yan, Jianliang Wei, Yingying Xu:
A Novel Anchorless Node Positioning Method for Wireless Sensor Network. J. Sensors 2022: 1-10 (2022) - [j54]Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin:
Thematic issue on knowledge and data driven evolutionary multi-objective optimization. Memetic Comput. 14(2): 133-134 (2022) - [j53]Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. Memetic Comput. 14(2): 237-251 (2022) - [j52]Ran Cheng, Zhihua Liu, Guodong Zhai, Qi Lv, Ming Yang, Chenguang Cai:
High-Acceleration Vibration Calibration System Based on Phase-Locked Resonance Control. Sensors 22(19): 7208 (2022) - [j51]Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin:
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization. Swarm Evol. Comput. 75: 101181 (2022) - [j50]Shihua Huang, Cheng He, Ran Cheng:
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network. IEEE Trans. Artif. Intell. 3(5): 722-737 (2022) - [j49]Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao:
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Trans. Cybern. 52(5): 3380-3393 (2022) - [j48]Danial Yazdani, Ran Cheng, Cheng He, Jürgen Branke:
Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization. IEEE Trans. Cybern. 52(7): 6476-6489 (2022) - [j47]Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng:
Ternary Compression for Communication-Efficient Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1162-1176 (2022) - [j46]Cheng He, Ran Cheng, Danial Yazdani:
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 786-798 (2022) - [j45]Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7760-7773 (2022) - [c56]Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip:
Spotlights: Probing Shapes from Spherical Viewpoints. ACCV (1) 2022: 469-485 - [c55]Pinyuan Zhong, Ran Cheng, Xiaoying Tang:
Utilizing average symmetrical surface distance in active shape modeling for subcortical surface generation with slow-fast learning. EMBC 2022: 230-233 - [c54]Xinze Li, Ying Sun, Jing Wan, Bing Chen, Ran Cheng, Genquan Han:
Machine Learning Method for Accurate Analysis of Complicated Low Temperature Random Telegraph Noise. ICICDT 2022: 20-23 - [c53]Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo:
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. ICML 2022: 22680-22690 - [i29]Teng Wang, Zhu Liu, Feng Zheng, Zhichao Lu, Ran Cheng, Ping Luo:
Semantic-Aware Pretraining for Dense Video Captioning. CoRR abs/2204.07449 (2022) - [i28]Ran Cheng, Xinyu Jiang, Yuan Chen, Lige Liu, Tao Sun:
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization. CoRR abs/2205.05861 (2022) - [i27]Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip:
Spotlights: Probing Shapes from Spherical Viewpoints. CoRR abs/2205.12564 (2022) - [i26]Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo:
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. CoRR abs/2206.08919 (2022) - [i25]Jinrui Zhang, Teng Wang, Feng Zheng, Ran Cheng, Ping Luo:
Exploiting Context Information for Generic Event Boundary Captioning. CoRR abs/2207.01050 (2022) - [i24]Jia Liu, Ran Cheng, Yaochu Jin:
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures. CoRR abs/2207.05321 (2022) - [i23]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR abs/2208.04321 (2022) - [i22]Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang:
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation. CoRR abs/2208.06820 (2022) - [i21]Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng:
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games. CoRR abs/2209.10055 (2022) - 2021
- [j44]Ran Cheng, Ying Sun, Yiming Qu, Wei Liu, Fanyu Liu, Jianfeng Gao, Nuo Xu, Bing Chen:
Nano-scaled transistor reliability characterization at nano-second regime. Sci. China Inf. Sci. 64(10) (2021) - [j43]Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang:
A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. Inf. Sci. 560: 68-91 (2021) - [j42]Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng:
A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks. Inf. Sci. 576: 374-392 (2021) - [j41]Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng:
Adaptive simulated binary crossover for rotated multi-objective optimization. Swarm Evol. Comput. 60: 100759 (2021) - [j40]Cheng He, Hao Tan, Shihua Huang, Ran Cheng:
Efficient evolutionary neural architecture search by modular inheritable crossover. Swarm Evol. Comput. 64: 100894 (2021) - [j39]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Trans. Cybern. 51(6): 3129-3142 (2021) - [j38]Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan:
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Trans. Cybern. 51(6): 3325-3337 (2021) - [j37]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Trans. Evol. Comput. 25(2): 371-385 (2021) - [j36]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(3): 448-462 (2021) - [j35]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. 25(4): 609-629 (2021) - [j34]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. 25(4): 630-650 (2021) - [j33]Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin:
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3552-3564 (2021) - [j32]Ye Tian, Cheng He, Ran Cheng, Xingyi Zhang:
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5880-5894 (2021) - [c52]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. CEC 2021: 2149-2155 - [c51]Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network. CVPR 2021: 12547-12556 - [c50]Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li:
Revisiting Self-training for Few-shot Learning of Language Model. EMNLP (1) 2021: 9125-9135 - [c49]Cheng He, Ran Cheng:
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. EMO 2021: 41-52 - [c48]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. EMO 2021: 296-307 - [c47]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. EMO 2021: 492-503 - [c46]Jianqing Lin, Cheng He, Ran Cheng:
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. EMO 2021: 567-579 - [c45]Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. EMO 2021: 672-683 - [c44]Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. ICCV 2021: 844-853 - [c43]Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. ICCV 2021: 6827-6837 - [c42]Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu:
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. ICCV 2021: 16056-16065 - [c41]Ying Sun, Yuchen Gu, Bing Chen, Xiao Yu, Ran Cheng:
A Ballistic Transport Study for Advanced Transistors in Post-Moore Era: Parasitic Resistance, Self-heating and Cryogenic Analysis. ICICDT 2021: 1-4 - [c40]Ryan Razani, Ran Cheng, Ehsan Taghavi, Bingbing Liu:
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. ICRA 2021: 9550-9556 - [c39]Ran Cheng, Ryan Razani, Yuan Ren, Bingbing Liu:
S3Net: 3D LiDAR Sparse Semantic Segmentation Network. ICRA 2021: 14040-14046 - [c38]Ran Cheng, Christopher Agia, Florian Shkurti, David Meger, Gregory Dudek:
Latent Attention Augmentation for Robust Autonomous Driving Policies. IROS 2021: 130-136 - [e1]Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents] - [i20]Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network. CoRR abs/2102.04530 (2021) - [i19]Ran Cheng, Ryan Razani, Yuan Ren, Bingbing Liu:
S3Net: 3D LiDAR Sparse Semantic Segmentation Network. CoRR abs/2103.08745 (2021) - [i18]Ryan Razani, Ran Cheng, Ehsan Taghavi, Bingbing Liu:
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. CoRR abs/2103.08852 (2021) - [i17]Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. CoRR abs/2108.07058 (2021) - [i16]Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. CoRR abs/2108.07781 (2021) - [i15]Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu:
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. CoRR abs/2108.08401 (2021) - [i14]Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li:
Revisiting Self-Training for Few-Shot Learning of Language Model. CoRR abs/2110.01256 (2021) - [i13]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang:
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. CoRR abs/2110.05242 (2021) - [i12]Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li:
R4: A Framework for Route Representation and Route Recommendation. CoRR abs/2110.10474 (2021) - 2020
- [j31]Huangke Chen, Ran Cheng, Jinming Wen, Haifeng Li, Jian Weng:
Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations. Inf. Sci. 509: 457-469 (2020) - [j30]Zhanglu Hou, Cheng He, Ran Cheng:
Reformulating preferences into constraints for evolutionary multi- and many-objective optimization. Inf. Sci. 541: 1-15 (2020) - [j29]Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin:
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Trans. Cybern. 50(3): 1106-1119 (2020) - [j28]Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qin Chen, Xin Yao:
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. IEEE Trans. Evol. Comput. 24(5): 868-881 (2020) - [c37]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang:
Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. CEC 2020: 1-8 - [c36]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. CEC 2020: 1-8 - [c35]Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Bingbing Liu:
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds. CoRL 2020: 2148-2161 - [c34]Ran Cheng, Christopher Agia, David Meger, Gregory Dudek:
Depth Prediction for Monocular Direct Visual Odometry. CRV 2020: 70-77 - [i11]Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin:
Ternary Compression for Communication-Efficient Federated Learning. CoRR abs/2003.03564 (2020) - [i10]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction. CoRR abs/2003.11518 (2020) - [i9]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. CoRR abs/2003.11613 (2020) - [i8]Shihua Huang, Cheng He, Ran Cheng:
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network. CoRR abs/2008.01681 (2020) - [i7]Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo:
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. CoRR abs/2009.06193 (2020) - [i6]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. CoRR abs/2011.13591 (2020) - [i5]Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Bingbing Liu:
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds. CoRR abs/2012.09242 (2020)
2010 – 2019
- 2019
- [j27]Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin:
Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. IEEE Comput. Intell. Mag. 14(3): 61-74 (2019) - [j26]Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin:
Particle swarm optimization for network-based data classification. Neural Networks 110: 243-255 (2019) - [j25]Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin:
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(2): 331-345 (2019) - [j24]Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao:
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23(5): 762-775 (2019) - [j23]Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao:
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23(6): 949-961 (2019) - [c33]Zhimei Cai, Zhiyong Han, Ming Tian, Changfeng Wang, Xiaoming Hu, Ran Cheng, Yi Zhao:
Variation Analysis of Interconnect Capacitance and Process Corner in Advanced CMOS Process with Double Patterning Technology. ASICON 2019: 1-4 - [c32]Ran Cheng, Ming Tian, Changfeng Wang, Zhimei Cai, Jie Zhang, Yan-Yan Zhang, Yi Zhao:
Performance Investigation of Uniaxially Tensile Stressed Ge n-FinFETs Formed on Biaxially Strained GeOI Substrates And Its Impact On Ge CMOS Inverters. ASICON 2019: 1-4 - [c31]