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Advancing Affordance-Grounded Creative Tool Use in Large Multimodal Models [paper] [Project Page] Cheng Qian*, Hyeonjeong Ha*, Jiayu Liu, Jeonghwan Kim, Emre Can Acikgoz, Bingxuan Li, Kunlun Zhu, Jiateng Liu, Aditi Tiwari, Zhenhailong Wang, Xiusi Chen, Heng Ji (* equal contribution) UnderReview |
2026
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MemGuard: Preventing Memory Contamination in Long-Term Memory-Augmented Large Language Models [paper] [Project Page] Hyeonjeong Ha, Jeonghwan Kim, Cheng Qian, Jiayu Liu, William M. Campbell, Yue Wu, Yuji Zhang, Kathleen McKeown, Dilek Hakkani-Tur, Heng Ji EMNLP 2026 (Findings) |
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Evaluating the Hidden Costs of Personalization in Large Language Models [paper] Yumeng Wang, Yuchen Wu, Cheng Qian, Zhiyuan Fan, Hyeonjeong Ha, Shujin Wu, Jiayu Liu, Heng Ji, Ge Wang EMNLP 2026 (Main) |
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CreativityBench: Evaluating Creative Reasoning via Affordance-Based Tool Repurposing [paper] [Project Page] Cheng Qian*, Hyeonjeong Ha*, Jiayu Liu, Bingxiang He, Jeonghwan Kim, Jiateng Liu, Bingxuan Li, Aditi Tiwari, Dwip Dalal, Zhenhailong Wang, Xiusi Chen, Mahdi Namazifar, Yunzhu Li, Heng Ji (* equal contribution) COLM 2026 |
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NarrativeTrack: Evaluating Video Language Models Beyond the Frame [paper] [Apple Blog] Hyeonjeong Ha, Jinjin Ge, Bo Feng, Kaixin Ma, Gargi Chakraborty ECCV 2026 (Spotlight) |
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Securing Multimodal AI through Internal Information Decomposition [paper] Jehyeok Yeon, Hyeonjeong Ha, Qiusi Zhan, Heng Ji ICML 2026 (Spotlight) |
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MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks [paper] Hyeonjeong Ha*, Qiusi Zhan*, Jeonghwan Kim, Dimitrios Bralios, Saikrishna Sanniboina, Nanyun Peng, Kai-wei Chang, Heng Ji (* equal contribution) ACL 2026 Main ICLR 2026 Workshop on Principled Design for Trustworthy AI |
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning [paper] [page] Qiusi Zhan*, Hyeonjeong Ha*, Rui Yang, Sirui Xu, Hanyang Chen, Liangyan Gui, Yu-Xiong Wang, Huan Zhang, Heng Ji, Daniel Kang (* equal contribution) ICLR 2026 |
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PAPO: Perception-Aware Policy Optimization for Multimodal Reasoning [paper] [page] Zhenhailong Wang, Xuehang Guo, Sofia Stoica, Haiyang Xu, Hongru Wang, Hyeonjeong Ha, Xiusi Chen, Yangyi Chen, Ming Yan, Fei Huang, Heng Ji ICLR 2026 |
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Energy-Based Transformers are Scalable Learners and Thinkers [paper] [blog] Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Peixuan Han, Hyeonjeong Ha, Aman Chadha, Yilun Du, Heng Ji, Jundong Li, Tariq Iqbal ICLR 2026 (Oral) |
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Constructive Distortion: Multimodal LLMs with Test-Time Image Warping [paper] Dwip Dalal, Gautam Vashishtha, Utkarsh Mishra, Jeonghwan Kim, Madhav Kanda, Hyeonjeong Ha, Svetlana Lazebnik, Heng Ji, Unnat Jain ICLR 2026 |
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Must Read: A Systematic Survey of Computational Persuasion [paper] Nimet Beyza Bozdag, Shuhaib Mehri, Xiaocheng Yang, Hyeonjeong Ha, Zirui Cheng, Esin Durmus, Jiaxuan You, Heng Ji, Gokhan Tur, Dilek Hakkani-Tür ACM 2026, Computing Surveys |
2025
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PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding [paper] Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha, Elen Chatikyan, Xiaomeng Jin, Khanh Duy Nguyen, Nanyun Peng, Kai-Wei Chang, Derek Hoiem, Heng Ji NeurIPS 2025 (Spotlight) |
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SYNTHIA: Novel Concept Design with Affordance Composition [paper] [page] Hyeonjeong Ha*, Xiaomeng Jin*, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang, Khanh Duy Nguyen, Ansel Blume, Nanyun Peng, Kai-Wei Chang, Heng Ji (* equal contribution) ACL 2025 (Main) |
2023
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Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations [paper] Hyeonjeong Ha*, Minseon Kim*, Sung Ju Hwang (* equal contribution) NeurIPS 2023 |
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Effective Targeted Attacks for Adversarial Self-Supervised Learning [paper] Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang NeurIPS 2023 |
2022
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Few-shot Transferable Robust Representation Learning via Bilevel Attacks [paper] Minseon Kim*, Hyeonjeong Ha*, Sung Ju Hwang (* equal contribution) NeurIPS 2022 ML Safety Workshop |