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ORCIDLing Pan
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.
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2020 – today
- 2024
[j10]Ling Pan, Bing Shen
, Peng Zhang, Xiaofeng Zou, Qian Feng:
Premium Power Service for Custom Power Devices Based on Trial-Purchase Model. IEEE Access 12: 81541-81549 (2024)- [j9]Yuanni Liu, Ling Pan, Shanzhi Chen:
A hierarchical blockchain-enabled security-threat assessment architecture for IoV. Digit. Commun. Networks 10(4): 1035-1047 (2024) - [j8]Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio:
Distributional GFlowNets with Quantile Flows. Trans. Mach. Learn. Res. 2024 (2024) - [j7]Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang:
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. IEEE/ACM Trans. Netw. 32(3): 2344-2359 (2024) - [c17]Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio:
Pre-Training and Fine-Tuning Generative Flow Networks. ICLR 2024 - [c16]Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. ICML 2024 - [c15]Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR 2024: 3025-3028 - [i30]Zarif Ikram, Ling Pan, Dianbo Liu:
Evolution Guided Generative Flow Networks. CoRR abs/2402.02186 (2024) - [i29]Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio:
QGFN: Controllable Greediness with Action Values. CoRR abs/2402.05234 (2024) - [i28]Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li:
Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. CoRR abs/2402.14407 (2024) - [i27]Haoran He, Can Chang, Huazhe Xu, Ling Pan:
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. CoRR abs/2406.01150 (2024) - [i26]Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan:
Bifurcated Generative Flow Networks. CoRR abs/2406.01901 (2024) - [i25]Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan:
Rectifying Reinforcement Learning for Reward Matching. CoRR abs/2406.02213 (2024) - [i24]Xiaoye Wang, Nicole Xi Zhang, Hongyu He, Trang Nguyen, Kun-Hsing Yu, Hao Deng, Cynthia Brandt, Danielle S. Bitterman, Ling Pan, Ching-Yu Cheng, James Zou, Dianbo Liu:
Safety challenges of AI in medicine. CoRR abs/2409.18968 (2024) - [i23]Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang:
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training. CoRR abs/2409.19391 (2024) - 2023
- [j6]Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang:
Network Topology Optimization via Deep Reinforcement Learning. IEEE Trans. Commun. 71(5): 2847-2859 (2023) - [c14]Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio:
Generative Augmented Flow Networks. ICLR 2023 - [c13]Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR 2023 - [c12]Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio:
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. ICML 2023: 26878-26890 - [c11]Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan:
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets. NeurIPS 2023 - [c10]Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio:
Stochastic Generative Flow Networks. UAI 2023: 1628-1638 - [i22]Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio:
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. CoRR abs/2302.01687 (2023) - [i21]Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio:
Distributional GFlowNets with Quantile Flows. CoRR abs/2302.05793 (2023) - [i20]Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio:
Stochastic Generative Flow Networks. CoRR abs/2302.09465 (2023) - [i19]Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan:
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets. CoRR abs/2305.17010 (2023) - [i18]Zhuoran Li, Ling Pan, Longbo Huang:
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. CoRR abs/2307.01472 (2023) - [i17]Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR abs/2310.02823 (2023) - [i16]Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio:
Pre-Training and Fine-Tuning Generative Flow Networks. CoRR abs/2310.03419 (2023) - [i15]Zarif Ikram, Ling Pan, Dianbo Liu:
Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries. CoRR abs/2310.03687 (2023) - [i14]Yiqin Tan, Ling Pan, Longbo Huang:
One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR abs/2310.14009 (2023) - 2022
- [j5]Min Hu, Qiao Li, Ling Pan:
An Intelligent Decision Framework for Loan Allocation Schemes. J. Circuits Syst. Comput. 31(14): 2250250:1-2250250:13 (2022) - [c9]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML 2022: 17221-17237 - [c8]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc 2022: 1-10 - [c7]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS 2022 - [i13]Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang:
Network Topology Optimization via Deep Reinforcement Learning. CoRR abs/2204.14133 (2022) - [i12]Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR abs/2205.15043 (2022) - [i11]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR abs/2208.14074 (2022) - [i10]Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio:
Generative Augmented Flow Networks. CoRR abs/2210.03308 (2022) - [i9]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR abs/2212.02064 (2022) - 2021
- [j4]Ling Pan, Qingpeng Cai, Longbo Huang:
Exploration in policy optimization through multiple paths. Auton. Agents Multi Agent Syst. 35(2): 33 (2021) - [j3]Ling Pan, Zeshui Xu, Peijia Ren:
DEA cross-efficiency framework for efficiency evaluation with probabilistic linguistic term sets. J. Oper. Res. Soc. 72(5): 1191-1206 (2021) - [c6]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS 2021: 1365-1377 - [i8]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR abs/2103.11883 (2021) - [i7]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR abs/2111.11188 (2021) - 2020
- [j2]Xiaoying Zhang, Bing Zheng, Ling Pan:
Using Virtual Reality Technology to Visualize Management of College Assets in the Internet of Things Environment. IEEE Access 8: 157089-157102 (2020) - [c5]Qingpeng Cai, Ling Pan, Pingzhong Tang:
Deterministic Value-Policy Gradients. AAAI 2020: 3316-3323 - [c4]Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. AAMAS 2020: 1001-1009 - [c3]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI 2020: 1992-1998 - [c2]Ling Pan, Qingpeng Cai, Longbo Huang:
Softmax Deep Double Deterministic Policy Gradients. NeurIPS 2020 - [i6]Ling Pan, Qingpeng Cai, Longbo Huang:
Softmax Deep Double Deterministic Policy Gradients. CoRR abs/2010.09177 (2020)
2010 – 2019
- 2019
- [c1]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI 2019: 1393-1400 - [i5]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR abs/1903.05926 (2019) - [i4]Qingpeng Cai, Ling Pan, Pingzhong Tang:
Deterministic Value-Policy Gradients. CoRR abs/1909.03939 (2019) - [i3]Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. CoRR abs/1911.04207 (2019) - 2018
- [i2]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
Rebalancing Dockless Bike Sharing Systems. CoRR abs/1802.04592 (2018) - [i1]Qingpeng Cai, Ling Pan, Pingzhong Tang:
Generalized deterministic policy gradient algorithms. CoRR abs/1807.03708 (2018) - 2017
- [j1]Juanjuan Zhao, Ling Pan, Pengfei Zhao, Xiao-Xian Tang:
Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing. J. Comput. Sci. Technol. 32(3): 457-469 (2017)
Coauthor Index
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last updated on 2024-10-23 21:24 CEST by the dblp team
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