Jiaheng Wei - RankMe

61 papers A* 11A 1Journal 45Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IP-Bench: Benchmark for Image Protection Methods in Image-to-Video Generation Scenarios. CoRR Xiaofeng Li, Leyi Sheng, Zhen Sun, Zongmin Zhang, Jiaheng Wei, Xinlei He
2026	J	`jnl`	Memorization in Deep Learning: A Survey. ACM Comput. Surv. Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang
2026	A*	`conf`	Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer. AAAI Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
2026	A*	`conf`	VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. AAAI Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei
2025	J	`jnl`	AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation. CoRR Xianyang Liu, Yilin Liu, Shuai Wang, Hao Cheng, Andrew Estornell, Yuzhi Zhao, Jiaheng Wei
2025	J	`jnl`	Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models. CoRR Shuai Wang, Zhenhua Liu, Jiaheng Wei, Xuanwu Yin, Dong Li, Emad Barsoum
2025	J	`jnl`	Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring. CoRR Mingjie Xu, Andrew Estornell, Hongzheng Yang, Yuzhi Zhao, Zhaowei Zhu, Qi Xuan, Jiaheng Wei
2025	J	`jnl`	Calibrated Multimodal Representation Learning with Missing Modalities. CoRR Xiaohao Liu, Xiaobo Xia, Jiaheng Wei, Shuo Yang, Xiu Su, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Dual-Color Space Hierarchical Classification Network for Image-Sharing Chain Detection. IEEE Trans. Instrum. Meas. Jiaheng Wei, Heng Yao, Na Wang, Chuan Qin
2025	J	`jnl`	ENTP: Enhancing Low-Quality SFT Data via Neural-Symbolic Text Purge-Mix. CoRR Zile Yang, Ling Li, Na Di, Jinlong Pang, Yao Zhou, Hao Cheng, Bo Han, Jiaheng Wei
2025	J	`jnl`	Extracting Private Training Data in Federated Learning From Clients. IEEE Trans. Inf. Forensics Secur. Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang
2025	J	`jnl`	FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language Models. CoRR Zhen Sun, Ziyi Zhang, Zeren Luo, Zeyang Sha, Tianshuo Cong, Zheng Li, Shiwen Cui, Weiqiang Wang, Jiaheng Wei, Xinlei He, Qi Li, Qian Wang
2025	J	`jnl`	GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection. CoRR Zhijie Deng, Chris Yuhao Liu, Zirui Pang, Xinlei He, Lei Feng, Qi Xuan, Zhaowei Zhu, Jiaheng Wei
2025	A*	`conf`	Human and AI Perceptual Differences in Image Classification Errors. AAAI Minghao Liu, Jiaheng Wei, Yang Liu, James Davis
2025	A*	`conf`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. ICLR Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2025	J	`jnl`	Incentivizing High-quality Participation From Federated Learning Agents. CoRR Jinlong Pang, Jiaheng Wei, Yifan Hua, Chen Qian, Yang Liu
2025	J	`jnl`	LAST: LeArning to Think in Space and Time for Generalist Vision-Language Models. CoRR Shuai Wang, Daoan Zhang, Tianyi Bai, Shitong Shao, Jiebo Luo, Jiaheng Wei
2025	A*	`conf`	LLM Unlearning via Loss Adjustment with Only Forget Data. ICLR Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei
2025	J	`jnl`	LM-mixup: Text Data Augmentation via Language Model based Mixup. CoRR Zhijie Deng, Zhouan Shen, Ling Li, Yao Zhou, Zhaowei Zhu, Yanji He, Wei Wang, Jiaheng Wei
2025	J	`jnl`	Label Smoothing Improves Gradient Ascent in LLM Unlearning. CoRR Zirui Pang, Hao Zheng, Zhijie Deng, Ling Li, Zixin Zhong, Jiaheng Wei
2025	J	`jnl`	OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models. CoRR Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei
2025	—	`conf`	On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing. KDD (2) Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He
2025	J	`jnl`	RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality. CoRR Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen
2025	J	`jnl`	Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models. CoRR Ling Li, Yao Zhou, Yuxuan Liang, Fugee Tsung, Jiaheng Wei
2025	J	`jnl`	Robust Preference Alignment via Directional Neighborhood Consensus. CoRR Ruochen Mao, Yuling Shi, Xiaodong Gu, Jiaheng Wei
2025	J	`jnl`	SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing. CoRR Qiuhao Liu, Ling Li, Yao Lu, Qi Xuan, Zhaowei Zhu, Jiaheng Wei
2025	A*	`conf`	Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning. ICML Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu
2025	J	`jnl`	Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning. CoRR Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu
2025	J	`jnl`	Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence. CoRR Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. CoRR Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei
2025	J	`jnl`	When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification. CoRR Zirui Pang, Haosheng Tan, Yuhan Pu, Zhijie Deng, Zhouan Shen, Keyu Hu, Jiaheng Wei
2024	J	`jnl`	Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. CoRR Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu
2024	J	`jnl`	Harnessing Business and Media Insights with Large Language Models. CoRR Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei
2024	J	`jnl`	Human-Instruction-Free LLM Self-Alignment with Limited Samples. CoRR Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu
2024	J	`jnl`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. CoRR Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2024	J	`jnl`	LLM Unlearning via Loss Adjustment with Only Forget Data. CoRR Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei
2024	J	`jnl`	Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting. CoRR Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu
2024	J	`jnl`	Memorization in deep learning: A survey. CoRR Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang
2024	J	`jnl`	On the Generalization Ability of Machine-Generated Text Detectors. CoRR Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He
2024	J	`jnl`	Reassessing Layer Pruning in LLMs: New Insights and Methods. CoRR Yao Lu, Hao Cheng, Yujie Fang, Zeyu Wang, Jiaheng Wei, Dongwei Xu, Qi Xuan, Xiaoniu Yang, Zhaowei Zhu
2023	—	`conf`	Auditing for Federated Learning: A Model Elicitation Approach. DAI Yang Liu, Rixing Lou, Jiaheng Wei
2023	J	`jnl`	Client-side Gradient Inversion Against Federated Learning from Poisoning. CoRR Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang
2023	A*	`conf`	Distributionally Robust Post-hoc Classifiers under Prior Shifts. ICLR Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
2023	J	`jnl`	Distributionally Robust Post-hoc Classifiers under Prior Shifts. CoRR Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
2023	J	`jnl`	Do humans and machines have the same eyes? Human-machine perceptual differences on image classification. CoRR Minghao Liu, Jiaheng Wei, Yang Liu, James Davis
2023	J	`jnl`	Fairness Improves Learning from Noisily Labeled Long-Tailed Data. CoRR Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
2023	—	`conf`	To Aggregate or Not? Learning with Separate Noisy Labels. CSW@WSDM Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
2023	A*	`conf`	To Aggregate or Not? Learning with Separate Noisy Labels. KDD Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
2022	J	`jnl`	Consensus on Dynamic Stochastic Block Models: Fast Convergence and Phase Transitions. CoRR Haoyu Wang, Jiaheng Wei, Zhenyuan Zhang
2022	—	`conf`	DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training. ECCV (23) Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu
2022	A*	`conf`	Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. ICLR Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
2022	J	`jnl`	To Aggregate or Not? Learning with Separate Noisy Labels. CoRR Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
2022	A*	`conf`	To Smooth or Not? When Label Smoothing Meets Noisy Labels. ICML Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu
2021	J	`jnl`	Induced Domain Adaptation. CoRR Yang Liu, Yatong Chen, Jiaheng Wei
2021	J	`jnl`	Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. CoRR Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
2021	J	`jnl`	PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator. CoRR Jiaheng Wei, Minghao Liu, Jiahao Luo, Qiutong Li, James Davis, Yang Liu
2021	A	`conf`	Sample Elicitation. AISTATS Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Understanding (Generalized) Label Smoothing when Learning with Noisy Labels. CoRR Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Yang Liu
2021	A*	`conf`	When Optimizing f-Divergence is Robust with Label Noise. ICLR Jiaheng Wei, Yang Liu
2020	J	`jnl`	Incentives for Federated Learning: a Hypothesis Elicitation Approach. CoRR Yang Liu, Jiaheng Wei
2020	J	`jnl`	When Optimizing f-divergence is Robust with Label Noise. CoRR Jiaheng Wei, Yang Liu