default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZihan Ding
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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)- [c23]Yukun Yuan, Zihan Ding, Shan Lin:
Fairness-Aware Electric Taxi Fleet Coordination Under Short-Term Power System Failures. ACC 2024: 214-219 - [c22]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 - [c21]Zihan Ding, Chi Jin:
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. ICLR 2024 - [c20]Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin:
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. ICML 2024 - [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 20:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
