conftrace_

Chen Ma

35 papers · 2020–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (11)
🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (72) πŸ† Grand Slam πŸ’Ž Century Club (31) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (145) πŸ”₯ Unstoppable (6)

Conferences

AAAI (9) ICLR (5) ACL (3) EMNLP (3) NIPS (3) COLING (2) ICCV (2) IJCAI (2) WACV (2) CVPR (1) ICML (1) NAACL (1) UAI (1)

Papers

SΒ²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening AAAI 2026 RubricBench: Aligning Model-Generated Rubrics with Human Standards ACL 2026 Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026 Enhancing Interpretability for Vision Models via Shapley Value Optimization AAAI 2026 DOGR: Towards Versatile Visual Document Grounding and Referring ICCV 2025 GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation AAAI 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025 Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge ACL 2025 MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents ACL 2025 Incorporating Review-missing Interactions for Generative Explainable Recommendation COLING 2025 NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025 Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights ICCV 2025 RevisEval: Improving LLM-as-a-Judge via Response-Adapted References ICLR 2025 Decision Information Meets Large Language Models: The Future of Explainable Operations Research ICLR 2025 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 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency ICML 2025 EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking IJCAI 2025 TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025 Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation ICLR 2024 SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples AAAI 2024 Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024 Collaborative Performance Prediction for Large Language Models EMNLP 2024 Offline Imitation Learning with Variational Counterfactual Reasoning NIPS 2023 MMEL: A Joint Learning Framework for Multi-Mention Entity Linking UAI 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023 Hyperspherical Quantization: Toward Smaller and More Accurate Models WACV 2023 Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network NIPS 2023 Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories COLING 2022 Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021 Knowledge-Enhanced Top-K Recommendation in PoincarΓ© Ball AAAI 2021 ATM: Attentional Text Matting WACV 2021 Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021 Feature Statistics Guided Efficient Filter Pruning IJCAI 2020 Memory Augmented Graph Neural Networks for Sequential Recommendation AAAI 2020