Tianle Chen - RankMe

40 papers A* 4A 2B 2C 1Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models. AAAI Jiacheng Wang, Tianle Chen, Pengyu Cheng, Xiaofeng Hou, Jiacheng Liu
2026	A*	`conf`	DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression. AAAI Pengyu Cheng, Jiacheng Wang, Tianle Chen, Bei Liu, Xiaofeng Hou, Jiacheng Liu
2026	J	`jnl`	Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic. CoRR Shuo Liu, Tianle Chen, Ryan Amiri, Christopher Amato
2026	J	`jnl`	VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models. CoRR Chenyu Wang, Tianle Chen, H. M. Sabbir Ahmad, Kayhan Batmanghelich, Wenchao Li
2025	J	`jnl`	Centralized Copy-Paste: Enhanced Data Augmentation Strategy for Wildland Fire Semantic Segmentation. CoRR Joon Tai Kim, Tianle Chen, Ziyu Dong, Nishanth Kunchala, Alexander Guller, Daniel Ospina Acero, Roger Williams, Mrinal Kumar
2025	J	`jnl`	Co-teacher-guided pseudo label supervision: A semi-supervised learning framework for muscle and adipose tissue segmentation on chest CT scans. IET Image Process. Jie Yang, Yanli Liu, Xiaoyan Chen, Tianle Chen, Qi Liu
2025	A*	`conf`	EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark. CVPR Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis
2025	—	`conf`	Enhancing φ-OFDR Sensing Distance and Accuracy Based on Synchronous Equal Frequency Resampling. OFC Tianle Chen, Zhou Xu, Guijiang Yang, Lei Tu, Liang Wang, Ming Tang
2025	J	`jnl`	Improving Physical Object State Representation in Text-to-Image Generative Systems. CoRR Tianle Chen, Chaitanya Chakka, Deepti Ghadiyaram
2025	J	`jnl`	Some Modalities are More Equal Than Others: Decoding and Architecting Multimodal Integration in MLLMs. CoRR Tianle Chen, Chaitanya Chakka, Arjun Reddy Akula, Xavier Thomas, Deepti Ghadiyaram
2024	—	`conf`	A 6.5-to-6.9-GHz SSPLL with Configurable Differential Dual-Edge SSPD Achieving 44-fs RMS Jitter, -260.7-dB FOMJitter, and -76.5-dBc Reference Spur. VLSI Technology and Circuits Tianle Chen, Hongyu Ren, Zunsong Yang, Yunbo Huang, Xianghe Meng, Weiwei Yan, Weidong Zhang, Xuqiang Zheng, Xuan Guo, Tetsuya Iizuka, Pui-In Mak, Yong Chen, Bo Li
2024	J	`jnl`	Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models. CoRR Dong Shu, Mingyu Jin, Tianle Chen, Chong Zhang, Yongfeng Zhang
2024	J	`jnl`	EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark. CoRR Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis
2024	J	`jnl`	Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space. IEEE Trans. Neural Networks Learn. Syst. Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2024	C	`conf`	Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. ACML Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang
2024	J	`jnl`	Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. CoRR Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang
2024	A*	`conf`	Pre-training LiDAR-based 3D Object Detectors through Colorization. ICLR Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2023	A	`conf`	Center-aware Adversarial Augmentation for Single Domain Generalization. WACV Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann
2023	J	`jnl`	Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2023	J	`jnl`	Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation. CoRR Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao
2022	J	`jnl`	Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines. Nat. Mach. Intell. Haitao Yang, Jiali Li, Kai Zhuo Lim, Chuanji Pan, Tien Van Truong, Qian Wang, Kerui Li, Shuo Li, Xiao Xiao, Meng Ding, Tianle Chen, Xiaoli Liu, Qian Xie, Pablo Valdivia y Alvarado, Xiaonan Wang, Po-Yen Chen
2022	J	`jnl`	Automatic strain sensor design via active learning and data augmentation for soft machines. Nat. Mach. Intell. Haitao Yang, Jiali Li, Kai Zhuo Lim, Chuanji Pan, Tien Van Truong, Qian Wang, Kerui Li, Shuo Li, Xiao Xiao, Meng Ding, Tianle Chen, Xiaoli Liu, Qian Xie, Pablo Valdivia y Alvarado, Xiaonan Wang, Po-Yen Chen
2022	J	`jnl`	Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models. IEEE Trans. Serv. Comput. Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
2022	B	`conf`	Contrastive Class-aware Adaptation for Domain Generalization. ICPR Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann
2022	J	`jnl`	Defending Adversarial Attacks via Semantic Feature Manipulation. IEEE Trans. Serv. Comput. Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An
2022	—	`conf`	GAN with Multivariate Disentangling for Controllable Hair Editing. ECCV (15) Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan
2022	A	`conf`	Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann
2022	—	`conf`	Learning with Free Object Segments for Long-Tailed Instance Segmentation. ECCV (10) Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
2022	J	`jnl`	Learning with Free Object Segments for Long-Tailed Instance Segmentation. CoRR Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
2021	—	`conf`	Product Matching Lessons and Recommendations from a Real World Application. Canadian AI Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie
2020	J	`jnl`	Adversarial Defense by Latent Style Transformations. CoRR Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen
2020	J	`jnl`	Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. CoRR Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
2020	J	`jnl`	Defending Adversarial Attacks via Semantic Feature Manipulation. CoRR Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen
2020	J	`jnl`	Generating Semantic Adversarial Examples via Feature Manipulation. CoRR Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	B	`conf`	OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. IJCNN Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	J	`jnl`	OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. CoRR Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler
2020	—	`conf`	Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. WISE (2) Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2018	—	`conf`	Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. ICDM Workshops Tianle Chen, Brian Keng, Javier Moreno
2018	J	`jnl`	Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. CoRR Tianle Chen, Brian Keng, Javier Moreno
2016	J	`jnl`	Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes. J. Mach. Learn. Res. Yuanjia Wang, Tianle Chen, Donglin Zeng