Ching-Yun Ko - RankMe

39 papers A* 6A 2B 2Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents. CoRR Ling Yue, Kushal Raj Bhandari, Ching-Yun Ko, Dhaval Patel, Shuxin Lin, Nianjun Zhou, Jianxi Gao, Pin-Yu Chen, Shaowu Pan
2026	J	`jnl`	Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning. CoRR Yu-Ang Lee, Ching-Yun Ko, Pin-Yu Chen, Mi-Yen Yeh
2026	J	`jnl`	Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language Models. CoRR Chen Xiong, Zhiyuan He, Pin-Yu Chen, Ching-Yun Ko, Tsung-Yi Ho
2026	J	`jnl`	vLLM Hook v0: A Plug-in for Programming Model Internals on vLLM. CoRR Ching-Yun Ko, Pin-Yu Chen
2025	—	`conf`	Attention Tracker: Detecting Prompt Injection Attacks in LLMs. NAACL (Findings) Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen
2025	J	`jnl`	Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks? CoRR Payel Das, Ching-Yun Ko, Sihui Dai, Georgios Kollias, Subhajit Chaudhury, Aurélie C. Lozano
2025	J	`jnl`	EARL: Entropy-Aware RL Alignment of LLMs for Reliable RTL Code Generation. CoRR Jiahe Shi, Zhengqi Gao, Ching-Yun Ko, Duane S. Boning
2025	A*	`conf`	Large Language Models can Become Strong Self-Detoxifiers. ICLR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2025	J	`jnl`	Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models. CoRR Huzaifa Arif, Keerthiram Murugesan, Ching-Yun Ko, Pin-Yu Chen, Payel Das, Alex Gittens
2025	—	`conf`	STAR: Spectral Truncation and Rescale for Model Merging. NAACL (Short Papers) Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen
2025	J	`jnl`	STAR: Spectral Truncation and Rescale for Model Merging. CoRR Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen
2024	J	`jnl`	Attention Tracker: Detecting Prompt Injection Attacks in LLMs. CoRR Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen
2024	J	`jnl`	Large Language Models can be Strong Self-Detoxifiers. CoRR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2024	J	`jnl`	Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models. CoRR Chung-Ting Tsai, Ching-Yun Ko, I-Hsin Chung, Yu-Chiang Frank Wang, Pin-Yu Chen
2024	A*	`conf`	What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks. ICML Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel
2023	—	`conf`	Sample-Specific Debiasing for Better Image-Text Models. MLHC Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	J	`jnl`	Sample-Specific Debiasing for Better Image-Text Models. CoRR Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	A	`conf`	Visual Pre-Training for Navigation: What Can We Learn from Noise? IROS Yanwei Wang, Ching-Yun Ko, Pulkit Agrawal
2022	—	`conf`	Facile Prediction of Neutrophil Activation State from Microscopy Images: A New Dataset and Comparative Deep Learning Approaches. ISBI Wei Liao, Ching-Yun Ko, Tsui-Wei Weng, Luca Daniel, Joel Voldman
2022	A*	`conf`	Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. ICML Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
2022	J	`jnl`	SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data. CoRR Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel
2022	J	`jnl`	Visual Pre-training for Navigation: What Can We Learn from Noise? CoRR Yanwei Wang, Ching-Yun Ko
2021	A	`conf`	Hidden Cost of Randomized Smoothing. AISTATS Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2021	J	`jnl`	Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. CoRR Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
2020	J	`jnl`	Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains. IEEE Trans. Neural Networks Learn. Syst. Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong
2020	J	`jnl`	Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains. IEEE Trans. Image Process. Ching-Yun Ko, Kim Batselier, Luca Daniel, Wenjian Yu, Ngai Wong
2020	A*	`conf`	Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
2020	J	`jnl`	HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression. CoRR Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong
2020	A*	`conf`	Higher-Order Certification For Randomized Smoothing. NeurIPS Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020	J	`jnl`	Higher-Order Certification for Randomized Smoothing. CoRR Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020	J	`jnl`	Rethinking Randomized Smoothing for Adversarial Robustness. CoRR Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel
2019	B	`conf`	A Support Tensor Train Machine. IJCNN Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
2019	—	`conf`	Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification. CDC Kim Batselier, Ching-Yun Ko, Ngai Wong
2019	J	`jnl`	Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
2019	B	`conf`	Matrix Product Operator Restricted Boltzmann Machines. IJCNN Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
2019	J	`jnl`	MiSC: Mixed Strategies Crowdsourcing. CoRR Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong
2019	A*	`conf`	POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin
2019	J	`jnl`	POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin
2018	J	`jnl`	Matrix Product Operator Restricted Boltzmann Machines. CoRR Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong