Skip to content
cs-conference-ranking.org

Tianyu Pang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

50

Venues

12

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

50 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLWhy LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets.Lei Hsiung, Tianyu Pang, Yung-Chen Tang, Linyue Song, Tsung-Yi Ho, Pin-Yu Chen, Yaoqing Yang
2026ACLHTMuon: Improving Muon via Heavy-Tailed Spectral Correction.Tianyu Pang, Yujie Fang, Zihang Liu, Shenyang Deng, Lei Hsiung, Shuhua Yu, Yaoqing Yang
2026ACLLongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification.Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An
2026ISITDepth, Not Data: An Analysis of Hessian Spectral Bifurcation.Shenyang Deng, Boyao Liao, Zhuoli Ouyang, Tianyu Pang, Yaoqing Yang
2026ISKEA Multi-attribute Group Decision-Making Approach Based on Linguistic Truth-Valued Lattice Implication Algebra and Prospect Theory.Tianyu Pang, Kuo Pang, Pengbo Liu, Tao Zhang, Li Zou
2025CVPRRevisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift.Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Mingli Zhu, Xiaochun Cao, Dacheng Tao
2025GLOBECOMFairness-Oriented Precoding Design for RSMA-Enabled ISAC System.Fuhao Liu, Wentao Xu, Junsheng Mu, Haitao Chen, Haoqiang Chen, Tianyu Pang, Jiansong Miao
2025ICCVMeta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts.Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin
2025ICDETowards Learning on Vertically Partitioned Data with Distributed Differential Privacy.Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du
2025ICLRBootstrapping Language Models with DPO Implicit Rewards.Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
2025ICLRWhen Attention Sink Emerges in Language Models: An Empirical View.Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin
2025ICLRImproved Techniques for Optimization-Based Jailbreaking on Large Language Models.Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin
2025ICLRImproving Long-Text Alignment for Text-to-Image Diffusion Models.Luping Liu, Chao Du, Tianyu Pang, Zehan Wang, Chongxuan Li, Dong Xu
2025ICLRRegMix: Data Mixture as Regression for Language Model Pre-training.Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin
2025ICLRScaling up Masked Diffusion Models on Text.Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li
2025ICLRA Closer Look at Machine Unlearning for Large Language Models.Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin
2025ICLRCheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates.Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin
2025ICMLBanditSpec: Adaptive Speculative Decoding via Bandit Algorithms.Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Y. F. Tan, Zhuoran Yang
2025ICMLOrient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models.Zehan Wang, Ziang Zhang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao
2025ICMLUnnatural Languages Are Not Bugs but Features for LLMs.Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh
2025ICMLLIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning.Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu
2025ICMLImproving Your Model Ranking on Chatbot Arena by Vote Rigging.Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin
2025ICMLWeak-to-Strong Jailbreaking on Large Language Models.Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang
2025WCNCDSAC-T Based Resource Allocation Strategy for Delay Minimization in RIS-Aided MEC Networks.Tianyu Pang, Fuhao Liu, Xinpei Chen, Jiansong Miao, Junsheng Mu, Zaodi Song
2024ACLSelf-Distillation Bridges Distribution Gap in Language Model Fine-Tuning.Zhaorui Yang, Tianyu Pang, Haozhe Feng, Han Wang, Wei Chen, Minfeng Zhu, Qian Liu
2024ECCVBAFFLE: A Baseline of Backpropagation-Free Federated Learning.Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin
2024EMNLPModel Balancing Helps Low-data Training and Fine-tuning.Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024ICLRFinetuning Text-to-Image Diffusion Models for Fairness.Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli
2024ICLRIntriguing Properties of Data Attribution on Diffusion Models.Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin
2024ICMLAgent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast.Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin
2023CVPRExploring Incompatible Knowledge Transfer in Few-shot Image Generation.Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung
2023ICMLNonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows.Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin
2023ICMLBetter Diffusion Models Further Improve Adversarial Training.Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
2023ICMLImproving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics.Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu
2023ICMLBag of Tricks for Training Data Extraction from Language Models.Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan
2022CVPRTwo Coupled Rejection Metrics Can Tell Adversarial Examples Apart.Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
2022ECCVBoosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2022ICLRExploring Memorization in Adversarial Training.Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
2022ICMLRobustness and Accuracy Could Be Reconcilable by (Proper) Definition.Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan
2021ICCVBlack-box Detection of Backdoor Attacks with Limited Information and Data.Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
2021ICCVTowards Face Encryption by Generating Adversarial Identity Masks.Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue
2021ICLRBag of Tricks for Adversarial Training.Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
2020CVPRBenchmarking Adversarial Robustness on Image Classification.Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu
2020ICLRRethinking Softmax Cross-Entropy Loss for Adversarial Robustness.Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
2020ICLRMixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.Tianyu Pang, Kun Xu, Jun Zhu
2019CVPREvading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2019ICMLImproving Adversarial Robustness via Promoting Ensemble Diversity.Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
2018CVPRBoosting Adversarial Attacks With Momentum.Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li
2018CVPRDefense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
2018ICMLMax-Mahalanobis Linear Discriminant Analysis Networks.Tianyu Pang, Chao Du, Jun Zhu