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2020 – today
- 2024
[j4]Fengguang Peng
, Zihan Ding, Ziming Chen, Gang Wang, Tianrui Hui, Si Liu, Hang Shi:
Region-adaptive and context-complementary cross modulation for RGB-T semantic segmentation. Pattern Recognit. 147: 110092 (2024)- [c24]Yukun Yuan, Zihan Ding, Shan Lin:
Fairness-Aware Electric Taxi Fleet Coordination Under Short-Term Power System Failures. ACC 2024: 214-219 - [c23]Yuan Chen, Zi-han Ding, Ziqin Wang, Yan Wang, Lijun Zhang, Si Liu:
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving. ECCV (36) 2024: 22-38 - [c22]Zihan Ding, Chi Jin:
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. ICLR 2024 - [c21]Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin:
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. ICML 2024 - [c20]Hongyu Li, Tianrui Hui, Zihan Ding, Jing Zhang, Bin Ma, Xiaoming Wei, Jizhong Han, Si Liu:
Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding. ACM Multimedia 2024: 9485-9494 - [i35]Zihan Ding, Amy Zhang, Yuandong Tian, Qinqing Zheng:
Diffusion World Model. CoRR abs/2402.03570 (2024) - [i34]Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson:
Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model. CoRR abs/2403.05571 (2024) - [i33]Si Liu, Zihan Ding, Jiahui Fu, Hongyu Li, Siheng Chen, Shifeng Zhang, Xu Zhou:
V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster. CoRR abs/2403.16635 (2024) - [i32]Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson:
Constraint-Aware Diffusion Models for Trajectory Optimization. CoRR abs/2406.00990 (2024) - [i31]Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin:
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. CoRR abs/2406.02081 (2024) - [i30]Yuan Chen, Zi-han Ding, Ziqin Wang, Yan Wang, Lijun Zhang, Si Liu:
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving. CoRR abs/2406.14556 (2024) - [i29]Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu:
How to beat a Bayesian adversary. CoRR abs/2407.08678 (2024) - [i28]Yuheng Zheng, Zihan Ding:
Reinforcement Learning in High-frequency Market Making. CoRR abs/2407.21025 (2024) - [i27]Hongyu Li, Tianrui Hui, Zihan Ding, Jing Zhang, Bin Ma, Xiaoming Wei, Jizhong Han, Si Liu:
Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding. CoRR abs/2409.08251 (2024) - 2023
- [j3]Tianrui Hui, Si Liu, Zihan Ding, Shaofei Huang, Guanbin Li, Wenguan Wang, Luoqi Liu, Jizhong Han:
Language-Aware Spatial-Temporal Collaboration for Referring Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8646-8659 (2023) - [c19]Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, Si Liu:
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection. CVPR 2023: 11186-11196 - [c18]Shaofei Huang, Zhenwei Shen, Zehao Huang, Zi-han Ding, Jiao Dai, Jizhong Han, Naiyan Wang, Si Liu:
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection. CVPR 2023: 17451-17460 - [c17]Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang:
Representation Learning for Low-rank General-sum Markov Games. ICLR 2023 - [c16]Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu:
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. IJCAI 2023: 893-901 - [i26]Shaofei Huang, Zhenwei Shen, Zehao Huang, Zi-han Ding, Jiao Dai, Jizhong Han, Naiyan Wang, Si Liu:
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection. CoRR abs/2301.02371 (2023) - [i25]Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, Si Liu:
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection. CoRR abs/2303.05892 (2023) - [i24]Zihan Ding, Yuanpei Chen, Allen Z. Ren, Shixiang Shane Gu, Hao Dong, Chi Jin:
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference. CoRR abs/2304.04602 (2023) - [i23]Zihan Ding, Xiaoxi Wei, Yidan Xu:
Survey of Consciousness Theory from Computational Perspective. CoRR abs/2309.10063 (2023) - [i22]Zihan Ding, Chi Jin:
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. CoRR abs/2309.16984 (2023) - [i21]Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu:
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. CoRR abs/2311.01091 (2023) - 2022
- [c15]Zhiyuan Yao, Zihan Ding, Thomas H. Clausen:
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. CIKM 2022: 3594-3603 - [c14]Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, Si Liu:
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation. CVPR 2022: 4954-4963 - [c13]Zihan Ding, Zi-han Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Si Liu:
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding. ACM Multimedia 2022: 5537-5546 - [c12]Zihan Ding, Zi-han Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Si Liu:
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding. ACM Multimedia 2022: 5537-5546 - [c11]Zhiyuan Yao, Zihan Ding:
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game. NeurIPS 2022 - [i20]Zhiyuan Yao, Zihan Ding, Thomas H. Clausen:
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. CoRR abs/2201.11727 (2022) - [i19]Zhiyuan Yao, Zihan Ding:
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game. CoRR abs/2206.01451 (2022) - [i18]Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, Si Liu:
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation. CoRR abs/2206.03789 (2022) - [i17]Zihan Ding, Dijia Su, Qinghua Liu, Chi Jin:
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. CoRR abs/2207.08894 (2022) - [i16]Zihan Ding, Zi-han Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Si Liu:
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding. CoRR abs/2208.05647 (2022) - [i15]Zihan Ding, Zi-han Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Si Liu:
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding. CoRR abs/2208.05647 (2022) - 2021
- [j2]Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang:
DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration. IEEE Robotics Autom. Lett. 6(2): 3168-3175 (2021) - [c10]Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang:
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation. CVPR 2021: 4187-4196 - [c9]Zihan Ding, Ya-Yen Tsai, Wang Wei Lee, Bidan Huang:
Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory. IROS 2021: 6778-6785 - [c8]Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong:
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. IROS 2021: 7135-7142 - [c7]Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong:
Efficient Reinforcement Learning Development with RLzoo. ACM Multimedia 2021: 3759-3762 - [i14]Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang:
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration. CoRR abs/2102.11003 (2021) - [i13]Zihan Ding, Ya-Yen Tsai, Wang Wei Lee, Bidan Huang:
Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory. CoRR abs/2103.00410 (2021) - [i12]Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong:
Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. CoRR abs/2103.04301 (2021) - [i11]Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong:
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning. CoRR abs/2104.09122 (2021) - [i10]Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang:
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation. CoRR abs/2105.06818 (2021) - [i9]Zihan Ding:
Not Only Domain Randomization: Universal Policy with Embedding System Identification. CoRR abs/2109.13438 (2021) - [i8]Zhiyuan Yao, Zihan Ding, Thomas Heide Clausen:
Reinforced Workload Distribution Fairness. CoRR abs/2111.00008 (2021) - 2020
- [c6]Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI 2020: 7253-7260 - [c5]Zihan Ding, Nathan F. Lepora, Edward Johns:
Sim-to-Real Transfer for Optical Tactile Sensing. ICRA 2020: 1639-1645 - [c4]Eugene Valassakis, Zihan Ding, Edward Johns:
Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. IROS 2020: 5372-5379 - [i7]Zihan Ding, Nathan F. Lepora, Edward Johns:
Sim-to-Real Transfer for Optical Tactile Sensing. CoRR abs/2004.00136 (2020) - [i6]Eugene Valassakis, Zihan Ding, Edward Johns:
Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. CoRR abs/2008.06686 (2020) - [i5]Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong:
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library. CoRR abs/2009.08644 (2020) - [i4]Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang:
CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR abs/2011.07553 (2020)
2010 – 2019
- 2019
- [j1]Yuan-Ting Yan, Ruiqing Liu, Zihan Ding, Xiuquan Du, Jie Chen, Yanping Zhang:
A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification. IEEE Access 7: 23537-23548 (2019) - [c3]Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong:
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. HBAI@IJCAI 2019: 209-223 - [c2]Zihan Ding, Ruting Rao, Yuan-Ting Yan, Yanping Zhang:
Voting Based Constructive Covering Algorithm. ISKE 2019: 720-724 - [i3]Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong:
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. CoRR abs/1901.09953 (2019) - [i2]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR abs/1905.08085 (2019) - 2018
- [c1]Zihan Ding, Jiayi Luo, Hongping Deng:
Accelerated exhaustive eye glints localization method for infrared video oculography. SAC 2018: 620-627 - [i1]Xiao-Yang Liu, Zihan Ding, Sem C. Borst, Anwar Walid:
Deep Reinforcement Learning for Intelligent Transportation Systems. CoRR abs/1812.00979 (2018)
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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