Hanjing Wang - RankMe

32 papers A* 5A 5Misc 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings. CoRR Hanjing Wang, S. Mostafa Mousavi, Patrick Robertson, Richard M. Allen, Alexie Barski, Robert Bosch, Nivetha Thiruverahan, Youngmin Cho, Tajinder Gadh, Steve Malkos, Boone Spooner, Greg Wimpey, Marc Stogaitis
2026	J	`jnl`	Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis. CoRR Yujie Zheng, Zhuo Li, Shengtao Zhang, Hanjing Wang, Junjie Sheng, Jiaqian Wang, Junchi Yan, Weinan Zhang, Ying Wen, Bo Tang, Muning Wen
2025	—	`conf`	Accelerating Multi‑turn LLM Agent Workflows via Context Templating and Opportunistic Prefill. ICIC (13) Hanjing Wang, Ying Wen, Weinan Zhang
2025	—	`conf`	Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. ACL (Findings) Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. CoRR Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. CoRR Ziyu Wan, Yunxiang Li, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen
2024	—	`conf`	Bayesian Evidential Deep Learning for Online Action Detection. ECCV (16) Hongji Guo, Hanjing Wang, Qiang Ji
2024	A	`conf`	Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning. UAI Hanjing Wang, Qiang Ji
2024	J	`jnl`	Epistemic Uncertainty Quantification For Pre-trained Neural Network. CoRR Hanjing Wang, Qiang Ji
2024	A*	`conf`	Epistemic Uncertainty Quantification for Pretrained Neural Networks. CVPR Hanjing Wang, Qiang Ji
2024	—	`conf`	Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization. ECCV (10) Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji
2024	—	`conf`	Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations. ECCV (78) Hanjing Wang, Bashirul Azam Biswas, Qiang Ji
2024	—	`conf`	Semantic Attribution for Explainable Uncertainty Quantification. Epi UAI Hanjing Wang, Shiqiang Wang, Qiang Ji
2024	A	`conf`	Theory-guided Message Passing Neural Network for Probabilistic Inference. AISTATS Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji
2023	A*	`conf`	Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction. ICCV Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji
2023	J	`jnl`	Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction. CoRR Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji
2023	A	`conf`	Diversity-enhanced probabilistic ensemble for uncertainty estimation. UAI Hanjing Wang, Qiang Ji
2023	A*	`conf`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	J	`jnl`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	A*	`conf`	Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CVPR Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
2023	J	`jnl`	Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CoRR Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
2023	J	`jnl`	Large Sequence Models for Sequential Decision-Making: A Survey. CoRR Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
2023	J	`jnl`	Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
2023	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
2023	—	`conf`	The Future of Work: Do We Need Interactive Collaborative Offices? The Most Interesting Survey in a Post-Covid World. ICDCS Workshops Zhuo Huang, Hanjing Wang, Xinrui Shi
2022	A*	`conf`	Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition. CVPR Hongji Guo, Hanjing Wang, Qiang Ji
2022	A	`conf`	Variational message passing neural network for Maximum-A-Posteriori (MAP) inference. UAI Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji
2021	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
2020	A	`conf`	Towards Efficient Discrete Integration via Adaptive Quantile Queries. ECAI Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
2019	J	`jnl`	AdaWISH: Faster Discrete Integration via Adaptive Quantiles. CoRR Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
2019	Misc	`conf`	DCNN-GAN: Reconstructing Realistic Image from fMRI. MVA Yunfeng Lin, Jiangbei Li, Hanjing Wang
2019	J	`jnl`	DCNN-GAN: Reconstructing Realistic Image from fMRI. CoRR Yunfeng Lin, Jiangbei Li, Hanjing Wang