Ling Pan - RankMe

94 papers A* 28A 3B 1Misc 1Journal 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Complementary Reinforcement Learning. CoRR Dilxat Muhtar, Jiashun Liu, Wei Gao, Weixun Wang, Shaopan Xiong, Ju Huang, Siran Yang, Wenbo Su, Jiamang Wang, Ling Pan, Bo Zheng
2026	A*	`conf`	Pre-Trained Video Generative Models as World Simulators. AAAI Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan
2025	J	`jnl`	A Computational CNN-LSTM-Based Mental Health Consultation System in a College Environment. Informatica (Slovenia) Ling Pan, Haili Ma
2025	A*	`conf`	AgentIR: 2nd Workshop on Agent-based Information Retrieval. SIGIR Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2025	J	`jnl`	Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning. CoRR Jiashun Liu, Johan S. Obando-Ceron, Han Lu, Yancheng He, Weixun Wang, Wenbo Su, Bo Zheng, Pablo Samuel Castro, Aaron C. Courville, Ling Pan
2025	J	`jnl`	Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering. CoRR Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin
2025	J	`jnl`	Evolution guided generative flow networks. Trans. Mach. Learn. Res. Zarif Ikram, Ling Pan, Dianbo Liu
2025	A*	`conf`	Flow Factorization for Efficient Generative Flow Networks. AAAI Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan
2025	J	`jnl`	GARDO: Reinforcing Diffusion Models without Reward Hacking. CoRR Haoran He, Yuxiao Ye, Jie Liu, Jiajun Liang, Zhiyong Wang, Ziyang Yuan, Xintao Wang, Hangyu Mao, Pengfei Wan, Ling Pan
2025	A*	`conf`	Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds. ACM Multimedia Yili Jin, Ling Pan, Rui-Xiao Zhang, Jiangchuan Liu, Xue Liu
2025	J	`jnl`	Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds. CoRR Yili Jin, Ling Pan, Rui-Xiao Zhang, Jiangchuan Liu, Xue Liu
2025	J	`jnl`	Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization. CoRR Ziqi Wang, Jiashun Liu, Ling Pan
2025	A*	`conf`	Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation. CVPR Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan
2025	J	`jnl`	Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation. CoRR Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan
2025	A*	`conf`	Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. ICLR Haoran He, Can Chang, Huazhe Xu, Ling Pan
2025	J	`jnl`	Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning. CoRR Jiashun Liu, Zihao Wu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan
2025	J	`jnl`	Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration. CoRR Jingtong Gao, Ling Pan, Yejing Wang, Rui Zhong, Chi Lu, Qingpeng Cai, Peng Jiang, Xiangyu Zhao
2025	A*	`conf`	Neuroplastic Expansion in Deep Reinforcement Learning. ICLR Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan
2025	J	`jnl`	Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. CoRR Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng
2025	J	`jnl`	Part II: ROLL Flash - Accelerating RLVR and Agentic Training with Asynchrony. CoRR Han Lu, Zichen Liu, Shaopan Xiong, Yancheng He, Wei Gao, Yanan Wu, Weixun Wang, Jiashun Liu, Yang Li, Haizhou Zhao, Ju Huang, Siran Yang, Xiaoyang Li, Yijia Luo, Zihe Liu, Ling Pan, Junchi Yan, Wei Wang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
2025	J	`jnl`	Pre-Trained Video Generative Models as World Simulators. CoRR Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan
2025	A*	`conf`	Random Policy Evaluation Uncovers Policies of Generative Flow Networks. ICML Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan
2025	J	`jnl`	Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards. CoRR Haoran He, Yuxiao Ye, Qingpeng Cai, Chen Hu, Binxing Jiao, Daxin Jiang, Ling Pan
2025	J	`jnl`	Scaling Image and Video Generation via Test-Time Evolutionary Search. CoRR Haoran He, Jiajun Liang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Ling Pan
2025	J	`jnl`	Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach. CoRR Siyuan Yang, Yang Zhang, Haoran He, Ling Pan, Xiu Li, Chenjia Bai, Xuelong Li
2025	A	`conf`	Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning. AAMAS Jiaxuan Jiang, Ling Pan, Lin Zhou, Longbo Huang, Zhixuan Fang
2025	A*	`conf`	The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning. ICML Jiashun Liu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan
2025	J	`jnl`	The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning. CoRR Jiashun Liu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan
2025	J	`jnl`	The importance of deep learning models in speech signal processing: fundamentals, strategies, and future research directions. Int. J. Speech Technol. Ling Pan
2025	A*	`conf`	Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets. AAAI Ling Pan
2024	J	`jnl`	A hierarchical blockchain-enabled security-threat assessment architecture for IoV. Digit. Commun. Networks Yuanni Liu, Ling Pan, Shanzhi Chen
2024	A*	`conf`	AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024	J	`jnl`	Bifurcated Generative Flow Networks. CoRR Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan
2024	Misc	`conf`	Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. CoRL Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang
2024	J	`jnl`	Distributional GFlowNets with Quantile Flows. Trans. Mach. Learn. Res. Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio
2024	J	`jnl`	Evolution Guided Generative Flow Networks. CoRR Zarif Ikram, Ling Pan, Dianbo Liu
2024	A*	`conf`	Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning. NeurIPS Xinran Li, Ling Pan, Jun Zhang
2024	J	`jnl`	Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning. CoRR Xinran Li, Ling Pan, Jun Zhang
2024	J	`jnl`	Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. CoRR Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
2024	A*	`conf`	Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training. NeurIPS Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
2024	A*	`conf`	Learning to Scale Logits for Temperature-Conditional GFlowNets. ICML Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio
2024	J	`jnl`	Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. CoRR Haoran He, Can Chang, Huazhe Xu, Ling Pan
2024	J	`jnl`	Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. IEEE/ACM Trans. Netw. Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang
2024	J	`jnl`	Neuroplastic Expansion in Deep Reinforcement Learning. CoRR Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan
2024	A*	`conf`	Pre-Training and Fine-Tuning Generative Flow Networks. ICLR Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio
2024	J	`jnl`	Premium Power Service for Custom Power Devices Based on Trial-Purchase Model. IEEE Access Ling Pan, Bing Shen, Peng Zhang, Xiaofeng Zou, Qian Feng
2024	A*	`conf`	QGFN: Controllable Greediness with Action Values. NeurIPS Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio
2024	J	`jnl`	QGFN: Controllable Greediness with Action Values. CoRR Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio
2024	J	`jnl`	Rectifying Reinforcement Learning for Reward Matching. CoRR Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan
2024	J	`jnl`	Safety challenges of AI in medicine. CoRR 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
2024	A*	`conf`	Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training. NeurIPS Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang
2024	J	`jnl`	Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training. CoRR Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang
2023	A*	`conf`	Better Training of GFlowNets with Local Credit and Incomplete Trajectories. ICML Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio
2023	J	`jnl`	Better Training of GFlowNets with Local Credit and Incomplete Trajectories. CoRR Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio
2023	J	`jnl`	Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. CoRR Zhuoran Li, Ling Pan, Longbo Huang
2023	J	`jnl`	Distributional GFlowNets with Quantile Flows. CoRR Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio
2023	A*	`conf`	Generative Augmented Flow Networks. ICLR Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
2023	J	`jnl`	Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio
2023	J	`jnl`	Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets. CoRR Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan
2023	A*	`conf`	Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets. NeurIPS Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan
2023	J	`jnl`	Network Topology Optimization via Deep Reinforcement Learning. IEEE Trans. Commun. Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
2023	J	`jnl`	One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR Yiqin Tan, Ling Pan, Longbo Huang
2023	J	`jnl`	Pre-Training and Fine-Tuning Generative Flow Networks. CoRR Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio
2023	J	`jnl`	Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries. CoRR Zarif Ikram, Ling Pan, Dianbo Liu
2023	A*	`conf`	RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang
2023	A	`conf`	Stochastic Generative Flow Networks. UAI Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
2023	J	`jnl`	Stochastic Generative Flow Networks. CoRR Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
2022	J	`jnl`	An Intelligent Decision Framework for Loan Allocation Schemes. J. Circuits Syst. Comput. Min Hu, Qiao Li, Ling Pan
2022	A*	`conf`	E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
2022	J	`jnl`	E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
2022	J	`jnl`	Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022	B	`conf`	Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022	J	`jnl`	Generative Augmented Flow Networks. CoRR Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
2022	J	`jnl`	Network Topology Optimization via Deep Reinforcement Learning. CoRR Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
2022	A*	`conf`	Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
2022	J	`jnl`	RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang
2021	J	`jnl`	DEA cross-efficiency framework for efficiency evaluation with probabilistic linguistic term sets. J. Oper. Res. Soc. Ling Pan, Zeshui Xu, Peijia Ren
2021	J	`jnl`	Exploration in policy optimization through multiple paths. Auton. Agents Multi Agent Syst. Ling Pan, Qingpeng Cai, Longbo Huang
2021	J	`jnl`	Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
2021	A*	`conf`	Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2021	J	`jnl`	Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2020	A*	`conf`	Deterministic Value-Policy Gradients. AAAI Qingpeng Cai, Ling Pan, Pingzhong Tang
2020	A	`conf`	Multi-Path Policy Optimization. AAMAS Ling Pan, Qingpeng Cai, Longbo Huang
2020	A*	`conf`	Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
2020	A*	`conf`	Softmax Deep Double Deterministic Policy Gradients. NeurIPS Ling Pan, Qingpeng Cai, Longbo Huang
2020	J	`jnl`	Softmax Deep Double Deterministic Policy Gradients. CoRR Ling Pan, Qingpeng Cai, Longbo Huang
2020	J	`jnl`	Using Virtual Reality Technology to Visualize Management of College Assets in the Internet of Things Environment. IEEE Access Xiaoying Zhang, Bing Zheng, Ling Pan
2019	A*	`conf`	A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
2019	J	`jnl`	Deterministic Value-Policy Gradients. CoRR Qingpeng Cai, Ling Pan, Pingzhong Tang
2019	J	`jnl`	Multi-Path Policy Optimization. CoRR Ling Pan, Qingpeng Cai, Longbo Huang
2019	J	`jnl`	Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu
2018	J	`jnl`	Generalized deterministic policy gradient algorithms. CoRR Qingpeng Cai, Ling Pan, Pingzhong Tang
2018	J	`jnl`	Rebalancing Dockless Bike Sharing Systems. CoRR Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
2017	J	`jnl`	Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing. J. Comput. Sci. Technol. Juanjuan Zhao, Ling Pan, Pengfei Zhao, Xiao-Xian Tang