Zihan Ding - RankMe

75 papers A* 15A 4B 1C 1Misc 2Journal 48Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Instruction to Event: Sound-Triggered Mobile Manipulation. CoRR Hao Ju, Shaofei Huang, Hongyu Li, Zihan Ding, Si Liu, Meng Wang, Zhedong Zheng
2025	J	`jnl`	A Differential-Mechanism-Based Leg Configuration Balances the Load and Dynamic Contribution for All Actuators of the Quadruped Robot. IEEE Trans. Robotics Zeyu Wang, Wenchuan Jia, Yi Sun, Tianxu Bao, Zihan Ding, Qi Chen
2025	J	`jnl`	ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes. CoRR Zeyuan Chen, Qiyang Yan, Yuanpei Chen, Tianhao Wu, Jiyao Zhang, Zihan Ding, Jinzhou Li, Yaodong Yang, Hao Dong
2025	—	`conf`	DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization. L4DC Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson
2025	—	`conf`	Intuition Estimation and Knowledge-Based Planning for Human-AI Collaboration. PRCV (1) Zihan Ding, Jinyu Chen, Si Liu, Shifeng Zhang
2025	J	`jnl`	LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra. CoRR Seth Karten, Wenzhe Li, Zihan Ding, Samuel Kleiner, Yu Bai, Chi Jin
2025	J	`jnl`	Learning World Models for Interactive Video Generation. CoRR Taiye Chen, Xun Hu, Zihan Ding, Chi Jin
2025	A*	`conf`	Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception. ICLR Zihan Ding, Jiahui Fu, Si Liu, Hongyu Li, Siheng Chen, Hongsheng Li, Shifeng Zhang, Xu Zhou
2025	J	`jnl`	Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven Media. CoRR Zihan Ding, Xinyi Wang, Junlong Chen, Per Ola Kristensson, Junxiao Shen
2025	J	`jnl`	Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention. CoRR Taiye Chen, Zihan Ding, Anjian Li, Christina Zhang, Zeqi Xiao, Yisen Wang, Chi Jin
2025	B	`conf`	Semantic Enhanced Relational Graph Attention Network for Chinese Medical Named Entity Recognition. COMPSAC Jianqiang Li, Yueqi Chang, Yinuo Ouyang, Xiaoyan Gao, Zihan Ding, Hongzhi Qi
2025	J	`jnl`	Single-stream Policy Optimization. CoRR Zhongwen Xu, Zihan Ding
2025	A*	`conf`	Variable-Friction In-Hand Manipulation for Arbitrary Objects via Diffusion-Based Imitation Learning. ICRA Qiyang Yan, Zihan Ding, Xin Zhou, Adam J. Spiers
2025	J	`jnl`	Variable-Friction In-Hand Manipulation for Arbitrary Objects via Diffusion-Based Imitation Learning. CoRR Qiyang Yan, Zihan Ding, Xin Zhou, Adam J. Spiers
2024	A*	`conf`	Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. ICLR Zihan Ding, Chi Jin
2024	—	`conf`	Constraint-Aware Diffusion Models for Trajectory Optimization. DDDAS/Infosymbiotics Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson
2024	J	`jnl`	Constraint-Aware Diffusion Models for Trajectory Optimization. CoRR Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson
2024	J	`jnl`	DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization. CoRR Zihan Ding, Chi Jin, Difan Liu, Haitian Zheng, Krishna Kumar Singh, Qiang Zhang, Yan Kang, Zhe Lin, Yuchen Liu
2024	J	`jnl`	Diffusion World Model. CoRR Zihan Ding, Amy Zhang, Yuandong Tian, Qinqing Zheng
2024	A*	`conf`	Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding. ACM Multimedia Hongyu Li, Tianrui Hui, Zihan Ding, Jing Zhang, Bin Ma, Xiaoming Wei, Jizhong Han, Si Liu
2024	J	`jnl`	Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding. CoRR Hongyu Li, Tianrui Hui, Zihan Ding, Jing Zhang, Bin Ma, Xiaoming Wei, Jizhong Han, Si Liu
2024	J	`jnl`	Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model. CoRR Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson
2024	C	`conf`	Fairness-Aware Electric Taxi Fleet Coordination Under Short-Term Power System Failures. ACC Yukun Yuan, Zihan Ding, Shan Lin
2024	A*	`conf`	FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. ICML Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin
2024	J	`jnl`	FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. CoRR Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin
2024	J	`jnl`	Generative Diffusion Modeling: A Practical Handbook. CoRR Zihan Ding, Chi Jin
2024	J	`jnl`	How to beat a Bayesian adversary. CoRR Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu
2024	J	`jnl`	Region-adaptive and context-complementary cross modulation for RGB-T semantic segmentation. Pattern Recognit. Fengguang Peng, Zihan Ding, Ziming Chen, Gang Wang, Tianrui Hui, Si Liu, Hang Shi
2024	J	`jnl`	Reinforcement Learning in High-frequency Market Making. CoRR Yuheng Zheng, Zihan Ding
2024	J	`jnl`	TopV-Nav: Unlocking the Top-View Spatial Reasoning Potential of MLLM for Zero-shot Object Navigation. CoRR Linqing Zhong, Chen Gao, Zihan Ding, Yue Liao, Si Liu
2024	J	`jnl`	V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster. CoRR Si Liu, Zihan Ding, Jiahui Fu, Hongyu Li, Siheng Chen, Shifeng Zhang, Xu Zhou
2023	J	`jnl`	Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. CoRR Zihan Ding, Chi Jin
2023	A*	`conf`	Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. IJCAI Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu
2023	J	`jnl`	Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. CoRR Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu
2023	J	`jnl`	Language-Aware Spatial-Temporal Collaboration for Referring Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Tianrui Hui, Si Liu, Zihan Ding, Shaofei Huang, Guanbin Li, Wenguan Wang, Luoqi Liu, Jizhong Han
2023	J	`jnl`	Learning a Universal Human Prior for Dexterous Manipulation from Human Preference. CoRR Zihan Ding, Yuanpei Chen, Allen Z. Ren, Shixiang Shane Gu, Hao Dong, Chi Jin
2023	A*	`conf`	Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection. CVPR Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, Si Liu
2023	J	`jnl`	Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection. CoRR Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, Si Liu
2023	A*	`conf`	Representation Learning for Low-rank General-sum Markov Games. ICLR Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang
2023	J	`jnl`	Survey of Consciousness Theory from Computational Perspective. CoRR Zihan Ding, Xiaoxi Wei, Yidan Xu
2022	J	`jnl`	A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. CoRR Zihan Ding, DiJia Su, Qinghua Liu, Chi Jin
2022	A*	`conf`	Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation. CVPR Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, Si Liu
2022	J	`jnl`	Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation. CoRR Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, Si Liu
2022	A*	`conf`	Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game. NeurIPS Zhiyuan Yao, Zihan Ding
2022	J	`jnl`	Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game. CoRR Zhiyuan Yao, Zihan Ding
2022	A	`conf`	Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. CIKM Zhiyuan Yao, Zihan Ding, Thomas H. Clausen
2022	J	`jnl`	Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. CoRR Zhiyuan Yao, Zihan Ding, Thomas H. Clausen
2022	A*	`conf`	PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding. ACM Multimedia Zihan Ding, Zi-han Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Si Liu
2022	J	`jnl`	PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding. CoRR Zihan Ding, Zi-han Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Si Liu
2021	A*	`conf`	Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation. CVPR Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang
2021	J	`jnl`	Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation. CoRR Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang
2021	A	`conf`	DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. IROS Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong
2021	J	`jnl`	DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration. IEEE Robotics Autom. Lett. Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang
2021	J	`jnl`	DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration. CoRR Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang
2021	A*	`conf`	Efficient Reinforcement Learning Development with RLzoo. ACM Multimedia Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong
2021	J	`jnl`	Not Only Domain Randomization: Universal Policy with Embedding System Identification. CoRR Zihan Ding
2021	J	`jnl`	Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning. CoRR Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong
2021	J	`jnl`	Reinforced Workload Distribution Fairness. CoRR Zhiyuan Yao, Zihan Ding, Thomas Heide Clausen
2021	J	`jnl`	Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. CoRR Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong
2021	A	`conf`	Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory. IROS Zihan Ding, Ya-Yen Tsai, Wang Wei Lee, Bidan Huang
2021	J	`jnl`	Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory. CoRR Zihan Ding, Ya-Yen Tsai, Wang Wei Lee, Bidan Huang
2020	A*	`conf`	Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
2020	J	`jnl`	CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang
2020	J	`jnl`	Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. CoRR Eugene Valassakis, Zihan Ding, Edward Johns
2020	A	`conf`	Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. IROS Eugene Valassakis, Zihan Ding, Edward Johns
2020	J	`jnl`	RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library. CoRR Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong
2020	A*	`conf`	Sim-to-Real Transfer for Optical Tactile Sensing. ICRA Zihan Ding, Nathan F. Lepora, Edward Johns
2020	J	`jnl`	Sim-to-Real Transfer for Optical Tactile Sensing. CoRR Zihan Ding, Nathan F. Lepora, Edward Johns
2019	J	`jnl`	A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification. IEEE Access Yuan-Ting Yan, Ruiqing Liu, Zihan Ding, Xiuquan Du, Jie Chen, Yanping Zhang
2019	J	`jnl`	Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
2019	J	`jnl`	TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. CoRR Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong
2019	—	`conf`	Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. HBAI@IJCAI Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong
2019	Misc	`conf`	Voting Based Constructive Covering Algorithm. ISKE Zihan Ding, Ruting Rao, Yuan-Ting Yan, Yanping Zhang
2018	Misc	`conf`	Accelerated exhaustive eye glints localization method for infrared video oculography. SAC Zihan Ding, Jiayi Luo, Hongping Deng
2018	J	`jnl`	Deep Reinforcement Learning for Intelligent Transportation Systems. CoRR Xiao-Yang Liu, Zihan Ding, Sem C. Borst, Anwar Walid