Junru Wu - RankMe

49 papers A* 8A 2Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Client Selection in Federated Learning With Differential Privacy-Based Data Stream. IEEE Trans. Netw. Junru Wu, Chengxin Li, Wentai Wu, Young-June Choi, Hiroo Sekiya, Zhetao Li
2026	J	`jnl`	Modified resource measures for quantum resource theory. Quantum Inf. Process. Zhe Ji, Lei Li, Junru Wu, Ming Li
2025	J	`jnl`	Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks. CoRR Paul Suganthan, Fedor Moiseev, Le Yan, Junru Wu, Jianmo Ni, Jay Han, Imed Zitouni, Enrique Alfonseca, Xuanhui Wang, Zhe Dong
2025	J	`jnl`	Advancing Large Language Models for Tibetan with Curated Data and Continual Pre-Training. CoRR Leiyu Pan, Bojian Xiong, Lei Yang, Renren Jin, Shaowei Zhang, Yue Chen, Ling Shi, Jiang Zhou, Junru Wu, Zhen Wang, Jianxiang Peng, Juesi Xiao, Tianyu Dong, Zhuowen Han, Zhuo Chen, Yuqi Ren, Deyi Xiong
2025	—	`conf`	C²RBench: A Chinese Complex Reasoning Benchmark for Large Language Models. ACL (Findings) Junru Wu, Tianhao Shen, Linxi Su, Deyi Xiong
2025	J	`jnl`	Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. CoRR Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G. C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis
2025	—	`conf`	LiPO: Listwise Preference Optimization through Learning-to-Rank. NAACL (Long Papers) Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
2025	A*	`conf`	RRM: Robust Reward Model Training Mitigates Reward Hacking. ICLR Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
2025	J	`jnl`	User-Driven Privacy-Preserving Data Streams Release for Multi-Task Assignment in Mobile Crowdsensing. IEEE Trans. Mob. Comput. Zhetao Li, Junru Wu, Saiqin Long, Zhirun Zheng, Chengxin Li, Mianxiong Dong
2024	—	`conf`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. NAACL (Short Papers) Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2024	—	`conf`	Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CPAL Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Eric J. Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang
2024	J	`jnl`	LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. CoRR Zhen Qin, Junru Wu, Jiaming Shen, Tianqi Liu, Xuanhui Wang
2024	—	`conf`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
2024	A*	`conf`	Principled Architecture-aware Scaling of Hyperparameters. ICLR Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
2024	J	`jnl`	Principled Architecture-aware Scaling of Hyperparameters. CoRR Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
2024	J	`jnl`	RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasiia Makarova, Jeremiah Z. Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
2024	J	`jnl`	Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. IEEE Trans. Pattern Anal. Mach. Intell. Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
2023	J	`jnl`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Broad Spectrum Image Deblurring via an Adaptive Super-Network. IEEE Trans. Image Process. Qiucheng Wu, Yifan Jiang, Junru Wu, Victor Kulikov, Vidit Goel, Nikita Orlov, Humphrey Shi, Zhangyang Wang, Shiyu Chang
2023	J	`jnl`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2022	A	`conf`	Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. WACV Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
2022	J	`jnl`	Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CoRR Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang
2022	A*	`conf`	Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization. NeurIPS Junru Wu, Yi Liang, Feng Han, Hassan Akbari, Zhangyang Wang, Cong Yu
2022	J	`jnl`	Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization. CoRR Junru Wu, Yi Liang, Feng Han, Hassan Akbari, Zhangyang Wang, Cong Yu
2021	J	`jnl`	Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. CoRR Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
2021	J	`jnl`	Bridging the Gap Between Computational Photography and Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright, Pedro Davalos, Scott McCloskey, Ben Miller, Asong Tambo, Sushobhan Ghosh, Sudarshan Nagesh, Ye Yuan, Yueyu Hu, Junru Wu, Wenhan Yang, Xiaoshuai Zhang, Jiaying Liu, Zhangyang Wang, Hwann-Tzong Chen, Tzu-Wei Huang, Wen-Chi Chin, Yi-Chun Li, Mahmoud Lababidi, Charles Otto, Walter J. Scheirer
2021	A*	`conf`	Stronger NAS with Weaker Predictors. NeurIPS Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
2021	J	`jnl`	Weak NAS Predictors Are All You Need. CoRR Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
2020	J	`jnl`	Comprehension Correlates of the Occurrence and Deletion of "de" in Mandarin "N1 (de) N2" Structures. Int. J. Asian Lang. Process. Junyuan Zhao, Junru Wu
2020	A	`conf`	DAVID: Dual-Attentional Video Deblurring. WACV Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang
2020	J	`jnl`	On a linearity between fractal dimension and order of fractional calculus in Hölder space. Appl. Math. Comput. Junru Wu
2020	J	`jnl`	Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing. CoRR Junru Wu, Xiang Yu, Buyu Liu, Zhangyang Wang, Manmohan Chandraker
2019	J	`jnl`	Bridging the Gap Between Computational Photography and Visual Recognition. CoRR Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright, Pedro Davalos, Scott McCloskey, Ben Miller, Asong Tambo, Sushobhan Ghosh, Sudarshan Nagesh, Ye Yuan, Yueyu Hu, Junru Wu, Wenhan Yang, Xiaoshuai Zhang, Jiaying Liu, Zhangyang Wang, Hwann-Tzong Chen, Tzu-Wei Huang, Wen-Chi Chin, Yi-Chun Li, Mahmoud Lababidi, Charles Otto, Walter J. Scheirer
2019	—	`conf`	Comprehension correlates of the occurrence and deletion of "de" in Mandarin "N1 (de) N2" structures. IALP Junyuan Zhao, Junru Wu
2019	J	`jnl`	DAVID: Dual-Attentional Video Deblurring. CoRR Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang
2019	A*	`conf`	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. ICCV Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
2019	J	`jnl`	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. CoRR Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
2019	J	`jnl`	Personalized Saliency and Its Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Yanyu Xu, Shenghua Gao, Junru Wu, Nianyi Li, Jingyi Yu
2019	J	`jnl`	Segmentation-Aware Image Denoising without Knowing True Segmentation. CoRR Sicheng Wang, Bihan Wen, Junru Wu, Dacheng Tao, Zhangyang Wang
2018	A*	`conf`	Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. ICML Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin
2018	J	`jnl`	Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. CoRR Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin
2018	A*	`conf`	Gaze Prediction in Dynamic 360° Immersive Videos. CVPR Yanyu Xu, Yanbing Dong, Junru Wu, Zhengzhong Sun, Zhiru Shi, Jingyi Yu, Shenghua Gao
2017	A*	`conf`	Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. IJCAI Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao
2017	J	`jnl`	Personalized Saliency and its Prediction. CoRR Yanyu Xu, Junru Wu, Nianyi Li, Shenghua Gao, Jingyi Yu
2016	J	`jnl`	Predicting tonal realizations in one Chinese dialect from another. Speech Commun. Junru Wu, Yiya Chen, Vincent J. van Heuven, Niels O. Schiller
2011	—	`conf`	Formulating the Identification of Mandarin Tone2 and Tone3 in Multi-dimensional Spaces. ICPhS Junru Wu
2008	—	`conf`	Statistical correlation analysis between lip contour parameters and formant parameters for Mandarin monophthongs. AVSP Junru Wu, Xiaosheng Pan, Jiangping Kong, Alan Wee-Chung Liew
2007	J	`jnl`	Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound. BMC Syst. Biol. Helene M. Langevin, Donna M. Rizzo, James R. Fox, Gary J. Badger, Junru Wu, Elisa E. Konofagou, Debbie Stevens-Tuttle, Nicole A. Bouffard, Martin H. Krag