Chen Ma

Enhancing Interpretability for Vision Models via Shapley Value Optimization AAAI 2026 Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026 RubricBench: Aligning Model-Generated Rubrics with Human Standards ACL 2026 S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening AAAI 2026 Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward CVPR 2026 Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors ICLR 2025 Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks ICLR 2025 Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge ACL 2025 Decision Information Meets Large Language Models: The Future of Explainable Operations Research ICLR 2025 DOGR: Towards Versatile Visual Document Grounding and Referring ICCV 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025 EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking IJCAI 2025 GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation AAAI 2025 Incorporating Review-missing Interactions for Generative Explainable Recommendation COLING 2025 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency ICML 2025 MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents ACL 2025 NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025 RevisEval: Improving LLM-as-a-Judge via Response-Adapted References ICLR 2025 Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights ICCV 2025 TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025 Collaborative Performance Prediction for Large Language Models EMNLP 2024 Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation ICLR 2024 Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024 SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples AAAI 2024 Hyperspherical Quantization: Toward Smaller and More Accurate Models WACV 2023 MMEL: A Joint Learning Framework for Multi-Mention Entity Linking UAI 2023 Offline Imitation Learning with Variational Counterfactual Reasoning NeurIPS 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023 Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network NeurIPS 2023 Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories COLING 2022 ATM: Attentional Text Matting WACV 2021 Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NeurIPS 2021 Knowledge-Enhanced Top-K Recommendation in Poincaré Ball AAAI 2021 Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021 Feature Statistics Guided Efficient Filter Pruning IJCAI 2020 Memory Augmented Graph Neural Networks for Sequential Recommendation AAAI 2020