Resume
Academic Achievements
- Selected Publications:
- - NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables. NeurIPS, 2025 (CCF A)
- - Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models. ACL, 2025 (CCF A)
- - BeamLoRA: Beam-Constraint Low-Rank Adaptation. ACL, 2025 (CCF A)
- - DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts. ACL, 2025 (CCF A)
- - PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization. ACL, 2025 (CCF A)
- - TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization. Findings of ACL, 2025
- - TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning. Findings of ACL, 2025
- - Incorporating Communication Style and Interaction of Speakers for Sarcasm Explanation in Dialogue. SIGIR, 2025 (CCF A)
- - Two-stage Adversarial Training for Deep Hashing via Representation Distillation. SIGIR, 2025 (CCF A)
- - AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts. ICCV, 2025 (CCF A)
- - Mitigating the Evolving Semantic Entanglement in Continual Learning of Vision-Language Models. ACM MM, 2025 (CCF A)
- - Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification. IJCAI, 2025 (CCF A)
- - Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition. WWW, 2025 (CCF A)
- - Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems against Shilling Attacks. AAAI, 2025 (CCF A)
- - Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models. AAAI, 2025 (CCF A)
- - Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering. AAAI, 2025 (CCF A)
- - Weights-Rotated Preference Optimization for Large Language Models. EMNLP, 2025
- - CBP-Tuning: Efficient Local Customization for Black-box Large Language Models. EMNLP, 2025
- - Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference. COLING, 2025
- - Towards One-to-Many Visual Question Answering. findings of EMNLP, 2024
- - Towards Flexible Evaluation for Generative Visual Question Answering. ACM MM, 2024 (CCF A)
- - Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization. ACM MM, 2024 (CCF A)
- - Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment. ECCV, 2024
- - Multimodal Table Understanding. ACL, 2024 (CCF A)
- - Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning. findings of ACL, 2024
- - Pruning Large Language Models to Intra-module Low-rank Structure with Transitional Activations. findings of ACL, 2024
- - A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification. CVPR, 2024 (CCF A)
- - Object Attribute Matters in Visual Question Answering. AAAI, 2024 (CCF A)
- - SD4Privacy: Exploiting Stable Diffusion for Protecting Facial Privacy.
Research Experience
- 2022-10~Present, Institute of Information Engineering, Chinese Academy of Sciences, Researcher
- 2016-10~2022-10, Institute of Information Engineering, Chinese Academy of Sciences, Associate Researcher
- 2014-07~2016-10, Institute of Information Engineering, Chinese Academy of Sciences, Assistant Researcher
Background
- Research Interests: Natural Language Processing, Multimodal Analysis, Cognitive Computing. Specific areas include: Sentiment Analysis, Content Generation, Lightweight Large Models, etc.
Miscellany
- Personal interests and hobbies not mentioned